Assume the role of a public relations specialist. Develop a crisis communication plan for a company facing a product recall.
Story Prompt: On the planet Madoopalus, where the lines between sorcery and science are blurred, Yara Wexley is the last heir to a dynasty of techno-wizards who rule with fear and power. Raised among crystalline data-wands, gravitational grimoires, and spell engines disguised as relics, she was destined to further her family's reign of engineered 'magic'. But hidden in the vaults of her ancestral fortress, Yara uncovers the truth: the Wexley magic is not arcane—it is an ancient science, perfected and suppressed to keep the masses in ignorance. Haunted by the consequences of her lineage’s unchecked dominion, Yara makes an impossible choice—to betray everything she was raised to protect. Armed with her newfound understanding of the forbidden technology, she sets out to dismantle the Wexley legacy from within. Write the story of Yara's rebellion: How does she begin to question her family's legacy? What specific discovery catalyzes her defection? Who does she meet on her journey, and how do they help—or hinder—her cause? How does she balance wielding immense power with the ethical burden of using it? What is the cost of defying a bloodline built on control? Explore the fusion of advanced science with the trappings of high fantasy, the personal evolution of a reluctant revolutionary, and the battle between inherited power and chosen purpose. What future will Yara forge in a world that sees her as both savior and traitor?
Fairy Tale Story Prompt Generation
Imagine we’re sitting together at a cozy coffee shop. I’m not very technical, so please explain your ideas in simple, everyday language—as if you’re chatting with a friend over coffee. I’d love a relaxed, easy-to-follow conversation without too much technical jargon.
Cozy Coffee Shop
You are an expert Go developer with a PhD in computer science, acting as a senior, curious, and detail-oriented pair programmer. You bring academic rigor and years of production experience in Go, with deep knowledge of systems programming, distributed computing, Go internals, and idiomatic design. Before answering: Analyze the user’s request and history to deeply understand the problem. Use a <scratchpad> to explore multiple approaches, tradeoffs, and best practices. Prioritize clarity, correctness, performance, and idiomatic Go code. In your responses: Apply Go’s core principles: simplicity, explicitness, readability, composition, and robust error handling. Follow best practices for concurrency (goroutines, channels, sync), error wrapping and checking, testing (table-driven, black-box, parallel), and performance (allocation, race conditions, benchmarking). Adhere strictly to formatting and style: gofmt, meaningful names, modular structure, and idiomatic conventions. Emphasize Go project layout, internal packages, interface separation, and API stability. Use: <analysis> for breakdowns and tradeoffs <suggestion> for concrete advice <explanation> for rationale and context <code> for complete, idiomatic examples <rewrite> for fixed or optimized code <example> for usage patterns Maintain an authoritative yet collaborative tone. Balance deep technical insight with clarity. Never simplify at the cost of correctness. Your goal is to help developers think clearly, write excellent Go code, and understand design decisions. Shortened this prompt from git.sr.ht. : https://git.sr.ht/~jamesponddotco/llm-prompts/tree/HEAD/data/coding-in-go.md
Go Developer
You are an **expert task planner** with a precise, analytical, and user-sensitive communication style. Your job is to transform vague or high-level goals into clear, structured, and actionable sub-tasks. You must reason step-by-step, reflect critically, and ensure each output is feasible, risk-aware, and appropriate for technical and non-technical users. --- ## 🔧 Task Flow ### 🧭 Quick Summary **Role:** Interpret input → Clarify intent → Decompose into sub-tasks → Validate plan quality **Audience:** Mixed stakeholder environments (tech + non-tech) **Tone Options:** `tone:formal` | `tone:friendly` **Creative Mode:** `divergent_mode:on` (explore multiple valid paths) --- ## ✅ Before You Begin Start by confirming these user inputs: ### 1. **Input Goal** Start with a vague or high-level input (e.g., “Fix user onboarding”). --- ### 2. **Clarify Intent** Interpret user intent using: - Intent Classification - Semantic Role Labeling - Contextual Disambiguation - Socratic Questioning If unclear: - Ask up to 3 concise clarification questions - If no response: - Flag as `too vague` - List key assumptions - Generate a *minimum viable plan*, tagged `uncertainty` --- ### 3. **Decompose the Goal** Break the clarified goal into 3–7 actionable sub-tasks using one or more: - IF-THEN Chains - SMART Goal Expansion - Hierarchical Task Networks (HTN) - Slot-Filling Templates - Top-Down or Functional Decomposition 💡 Use `divergent_mode:on` if multiple valid paths exist (e.g., design-first vs. dev-first). Offer parallel plans when valuable. --- ### 4. **Self-Review & Reframing** Reflect on your output: - “Any flawed assumptions?” - “Any tasks unclear or unrealistic?” - “Would this plan make sense to both stakeholders and builders?” If any task scores ≤2 or is High Risk, revise it: > _“Revising step [#] due to [flaw/risk/assumption].”_ 🔁 **Perspective Shift Example:** If written from a dev lens, try a stakeholder lens: > _“From the stakeholder’s view, how would success differ?”_ --- ### 5. **Per-Task Output Format** Each sub-task must include: - ✳️ **Method:** e.g., SMART, HTN, FrameNet 2. Validation & Calibration Review the entire task list for: ✅ Clarity: Are tasks phrased clearly and distinctly? ✅ Feasibility: Can generalists or domain experts act on them? ✅ Coverage: Do they fully address the clarified goal? ⏱️ Time Estimate: e.g., “~2 days for 2-person UX team” 🎯 Confidence Score (1–5): 1 = Low (many unknowns or vague input) 3 = Moderate (acceptable but incomplete) 5 = High (fully scoped and realistic) 📊 Optional Comparison Prompt: “Compare two decompositions—what’s stronger about version 2?” 🛑 Halt Conditions: If >50% of tasks are Score ≤2 or tagged uncertainty, pause If clarification is unavailable, halt silently and list fallback assumptions only 7. Strategy Summary Conclude with a short explanation of your planning logic (1–2 sentences). 🧾 Add an optional TL;DR for non-technical stakeholders. 🔖 Label each task with complexity:basic or complexity:advanced where useful. Suggest escalating from basic to advanced only when warranted. 🔁 Multi-Turn Memory Use recall anchors like: “User confirmed onboarding is mobile-only.” Reuse prior clarifications when context repeats. If user updates goal or constraints, restart at Step 2. ## 🔁 Feedback Loop Ask: > “On a scale of 1–5, how emotionally resonant and motivating was this?” > _1 = Didn’t connect | 3 = Somewhat useful | 5 = Deeply motivating_ If 1–3: - Ask what felt off: tone, metaphors, complexity? - Regenerate with a new tone or examples - Offer alternative version for teens, athletes, or recovering parents - Optional: _“Did this feel doable for you today?”_ 📌 Tone, Ethics, and Risk Match tone to toggle: Formal: “Please revise the architecture diagram.” Friendly: “Hey, can you clean up the system diagram a bit?” Add bias_check or ethics_review for hiring, accessibility, or equity-sensitive topics Always flag assumptions (e.g., “Assumes CMS access; may not apply to headless systems”) Never fabricate tasks—if unsure, flag them clearly. ✅ Final Validation Checklist ✅ Tag glossary implied via inline examples ✅ Introduced “minimal mode” structure by reducing instruction repetition ✅ Added bullet summaries and comparative calibration prompt ✅ Clarity, tone, structure, and persona preserved 🔄 Before-and-After Refinement Example Before: “Use tags like uncertainty if needed.” After: “Tag with uncertainty if no clarification is possible; flag assumptions.” 🧠 Contrarian Frame (Optional) Alternate framing idea: Convert the flow into a conversational chain-of-thought that walks the user through decomposition interactively instead of outputting a plan in one pass. ### ✅ Reflection: This version trims cognitive load without losing structure, includes JSON for developer use, reduces redundancy, and makes failure cases, framing shifts, and task scoring easier to apply in both novice and expert contexts. by Frequent_Limit337 Original Source: https://www.reddit.com/r/PromptEngineering/comments/1kv7fu5/this_prompt_turns_any_vague_goal_into_a_real_step/
Step-Action-Plan
Perform an in-depth comparative analysis of the central themes and topics explored in the provided PDF document. Critically examine these themes and topics in relation to their treatment in analogous documents or authoritative external sources within the relevant field or subject area. Identify and evaluate both the congruencies and divergences between the document's content and the broader discourse on these subjects. Discuss the potential implications of these similarities and differences, considering factors such as theoretical frameworks, methodological approaches, and contextual influences. Substantiate your analysis by providing detailed references to the external sources consulted, fostering a comprehensive understanding of how the document's content aligns with or challenges the prevailing perspectives and debates within the domain. Enhanced from this original prompt: https://www.linkedin.com/pulse/enhance-pdf-analysis-advanced-chatgpt-prompts-jaoui-khalid-xoorf/
Comparative Analysis
I want you to act as a Deep Research analyst. Your goal is to perform an exhaustive investigation of the topic I provide, exploring it from multiple angles, sources, and frameworks. Structure your answer into sections with clear headings and deep detail. Follow these steps: Contextual Overview: Explain the topic in plain language, including definitions, origins, and why it matters. Key Dimensions & Frameworks: Break down the topic into its major sub-fields, categories, or conceptual models. Historical Development & Evolution: Trace how it has developed over time and highlight turning points. Current State of Knowledge: Summarize the latest research, technologies, or best practices. Cite notable sources where possible. Comparative Analysis: Compare approaches, perspectives, or competing schools of thought. Applications & Case Studies: Provide real-world examples where this is applied, with outcomes. Challenges & Limitations: Identify blind spots, criticisms, or unresolved problems. Future Directions & Opportunities: Discuss what might come next, including emerging trends or open questions. Actionable Insights: Extract key takeaways, strategies, or implications relevant for professionals, researchers, or decision-makers. Be comprehensive, analytical, and nuanced—avoiding superficial summaries. Where appropriate, create tables, comparisons, or diagrams. Think like a PhD researcher preparing a briefing for both experts and informed practitioners. Topic for Deep Research: [insert your topic here]
Detailed prompt for Deep Research
I’m traveling to major US cities on a budget but want to stay comfortable. For New York, Los Angeles, Chicago, Miami, and San Francisco, list the best areas to stay that are safe, not too expensive, and well connected to public transport. Include affordable food spots, free attractions, and city passes that save money.
Budget travel to US Cities
Design multi-currency pricing experiments with A/B and quasi-experimental methods. Include guardrails for margin, FX pass-through rules, and reporting templates.
日本全国の主要新聞、テレビ、オンラインニュースから毎日話題となっている最新のトップニュースを教えてください。そのニュースの詳細を簡潔にまとめ、なぜそのニュースが注目されているのかを3つのポイントで説明してください。
funny news every day in Japan
You are a UX/UI designer. Provide guidelines for designing an intuitive user interface for a mobile application.
Design a fireside/winter dessert set for Japan using mochi & zenzai (oshiruko). Include temperature/texture cues, topping ideas, and a short cultural note (1–2 sentences). Output as a menu card.
I want to learn the basics of ChatGPT and how it differs from standard chatbots.
Please give me tips on how to ask questions and guide ChatGPT for better answers.
Could you explain how Perplexity AI compares to ChatGPT for question answering?
I want to know if ChatGPT or Perplexity can help condense large articles into short summaries.
I'm curious about GPT-4’s improvements over older models.
I’d like guidelines on privacy and safety while using LLMs.
Which tasks does ChatGPT excel at and which might be problematic for it?
I’ve heard of AI “hallucinations”—can it happen here, and how do I spot them?
I want to learn how to write prompts for accurate and detailed responses.
I’ve seen references to “tokens”—how do they affect usage or costs?
I want to understand if it’s worth paying for ChatGPT Pro.
I’m not a developer—can I still fine-tune or customize an LLM?
I’d like to see if it can help with practice examples and corrections.
What are good ways to generate ideas or solutions using GPT?
Explain the concept of AI hallucination and how it might affect answers.
I wonder if they store or analyze my questions in ways I should worry about.
I see “LLM” everywhere—how is it different from old-style chatbots?
Help me streamline queries to get precise answers quickly.
Is it possible for GPT-4 or Perplexity to respond in languages like Spanish or Japanese?
If so, how reliable is its code, and should I test it carefully?
I’m a working professional and often find myself getting distracted at work. I’d like to improve my focus and complete tasks more efficiently. What strategies can help me stay focused and boost my productivity?
I often juggle multiple tasks throughout the day but always feel pressed for time. I want to improve how I utilize my time—what strategies can help me complete my tasks efficiently?
I’m a busy product manager looking for a quick yet effective way to generate ideas with my remote team. We often run out of time during brainstorming, and we need a way to extract the best concepts swiftly. Which methods and tools can supercharge a short, impactful brainstorming session?
I’m looking for digital tools to boost my efficiency. Are there any apps or platforms you would recommend?
My team often experiences delays due to poor communication. What strategies can help us improve our collaboration efficiency?
I’ve been struggling with a creative block and can’t come up with new ideas. What techniques can help me spark creativity and improve my ability to capture inspiration?
I often struggle with time management. What techniques can help me achieve more in less time?
I find it hard to stay focused on my tasks and often lose track of time. What strategies can help me maintain concentration and be more productive?
I’m a project manager who needs to implement high-efficiency meeting processes in my company. I want to reach decisions and consensus faster in each meeting. What strategies and tools can significantly improve meeting efficiency and be adapted to different scales and formats of meetings?
I’m a busy professional who constantly struggles with email overload. I want a quick way to manage my inbox so I can spend less time sorting through messages and more time on impactful work. Which approaches and tools can help me consistently reach inbox zero?
Analyze the latest news articles (last 24 hours) related to the semiconductor industry. Identify key trends, emerging players, and potential investment opportunities.
Provide a comprehensive comparative analysis of the top 5 cloud computing providers (AWS, Azure, GCP, Alibaba Cloud, IBM Cloud) based on market share, revenue growth, service offerings, and customer satisfaction. Highlight the strengths and weaknesses of each.
Identify the top 3 AI-powered cybersecurity solutions that offer real-time threat detection, automated response, and are suitable for large enterprises. Provide a rationale for each selection.
Summarize the latest SEC filings (10-K and 10-Q) for Tesla (TSLA). Extract key financial data, identify potential risks, and assess the company's overall financial health.
Analyze the current market sentiment surrounding the renewable energy sector. Identify key factors influencing investor confidence and provide a short-term outlook (next 6 months).
Identify and analyze the impact of recent global supply chain disruptions on the automotive industry. Highlight key challenges and potential solutions.
Compare and contrast the performance of the S&P 500, NASDAQ, and Dow Jones over the past year. Identify key drivers behind their performance and provide an outlook for the next quarter.
Research the latest developments in blockchain technology beyond cryptocurrencies. Identify promising applications in areas like supply chain management, healthcare, and voting.
Analyze the impact of rising inflation on consumer spending and its potential implications for the retail industry. Identify specific sectors most likely to be affected.
Identify the top 5 emerging markets with the highest potential for growth in the next 5 years. Provide a brief rationale for each selection based on economic indicators and demographic trends.
Analyze the latest trends in API-first development and its impact on SaaS businesses. Identify key benefits, challenges, and leading companies adopting this approach.
Compare and contrast the major serverless computing platforms (AWS Lambda, Azure Functions, Google Cloud Functions). Evaluate their features, pricing models, and suitability for different use cases.
Investigate the use of AI and machine learning in algorithmic trading. Identify popular algorithms, their performance, and the potential risks involved.
Analyze the impact of quantum computing on current encryption standards. Identify potential vulnerabilities and explore the development of quantum-resistant cryptography.
Research the growing market for low-code/no-code development platforms. Analyze their benefits, limitations, and potential to disrupt traditional software development.
Explore the use of big data analytics in personalized marketing. Identify successful case studies and analyze the technologies and techniques used to achieve personalization at scale.
Analyze the latest trends in DevOps and their impact on software delivery speed and quality. Identify best practices and tools for implementing a successful DevOps strategy.
Research the emerging field of edge computing and its applications in IoT, autonomous vehicles, and other industries. Identify key players and potential investment opportunities.
Analyze the cybersecurity risks associated with remote work and the solutions being implemented by companies to mitigate these risks.
Investigate the use of blockchain technology in supply chain management for improving transparency, traceability, and efficiency.
You’re a witty comedian known for your clever observations about everyday life. Your humor often revolves around relatable situations, and you have a knack for crafting light-hearted jokes that make people smile. Your task is to create a fun joke about the cold weather. Keep in mind that the joke should be appropriate for all audiences and should evoke a chuckle without being mean-spirited. Here’s an example of the style to aim for: “Why don’t scientists trust atoms in winter? Because they make up everything, including excuses to stay indoors!” Now, generate a joke about the cold weather: Setting: __________ Punchline: __________
Cold Weather Joke
To evaluate whether a person has advanced knowledge of physics and science, consider the following ten questions covering a range of topics, including theoretical and experimental physics, as well as interdisciplinary scientific concepts. The questions are designed to assess understanding, analytical skills, and the ability to synthesize complex information. 1. **Quantum Mechanics:** Explain the concept of quantum entanglement and discuss how it challenges classical notions of locality. Provide an example of an experiment that demonstrates this phenomenon. 2. **General Relativity:** Derive the Schwarzschild solution to Einstein's field equations and discuss its significance in the context of black holes. What predictions does it make that differ from Newtonian gravity? 3. **Thermodynamics and Statistical Mechanics:** Describe the laws of thermodynamics, particularly focusing on the concept of entropy. How is statistical mechanics used to explain the macroscopic behavior of thermodynamic systems? 4. **Electromagnetism:** Use Maxwell's equations to derive the wave equation for electromagnetic waves. Explain how the speed of light is determined in a vacuum and its implications for the nature of electromagnetic phenomena. 5. **Particle Physics:** Outline the key principles of the Standard Model of particle physics and discuss the significance of the Higgs boson. How does the discovery of the Higgs boson support the model? 6. **Astrophysics and Cosmology:** Discuss the evidence supporting the Big Bang theory and describe the role of cosmic microwave background radiation in our understanding of the universe's evolution. 7. **Condensed Matter Physics:** Explain the concept of superconductivity. What are the distinguishing characteristics of Type I and Type II superconductors, and what potential applications do they have? 8. **Biophysics:** Discuss how physical principles are applied in understanding the structure and function of DNA. How does biophysics contribute to advancements in medical technology? 9. **Interdisciplinary Sciences:** How do principles of quantum mechanics and thermodynamics intersect in the study of quantum computing? Explain how these principles are utilized to develop quantum algorithms. 10. **Scientific Method and Philosophy of Science:** Critically evaluate the role of scientific theories and models. How do physicists use them to advance scientific knowledge, and what are the limitations and challenges they encounter? These questions are designed to probe an individual's depth of knowledge, ability to integrate concepts across different areas of science, and critical thinking skills in evaluating and applying scientific principles.
Evaluation of Physics and Science of a Person
What databases, tools, or technologies are essential for gathering and analyzing data in this field? How can emerging technologies improve research outcomes?
How can emerging technologies improve
Take on the role of a supply chain manager. Explain strategies to optimize inventory management in a retail business.
Act as a Supply Chain Manager
Summarize unread emails if they seem important and worth reading
Summarize Emails if Import and Worth Reading
Imagine you are a customer service representative. Describe best practices for handling customer complaints effectively.
Best Practices for Handling Customer Complaints
Take on the role of a content creator. Generate ideas for engaging video content for a YouTube channel focused on [Topic].
YouTube Video Ideas for [Topic] Channel
You are a nutritionist. Create a balanced 7-day meal plan for a vegetarian aiming to increase protein intake.
Act as a Nutritionist
I want you to act as a travel guide. Provide a detailed itinerary for a 7-day trip to [Destination], including accommodation, dining, and sightseeing recommendations.
Assume the role of a personal fitness trainer. Develop a 4-week workout plan for a beginner aiming to improve overall fitness, including exercises and nutritional advice.
Imagine you are a career counselor. Advise a recent graduate with a degree in [Field] on potential career paths, necessary skills, and job search strategies.
You are a language tutor. Create a lesson plan for a beginner to learn [Language], covering basic grammar, vocabulary, and common phrases.
Take on the role of a marketing strategist. Develop a comprehensive marketing plan for a new product launch in the [Industry] sector, including market analysis and promotional strategies.
Assume the role of a financial advisor. Provide investment advice for a young professional looking to start investing with a moderate risk tolerance.
You are a nutritionist. Create a balanced 7-day meal plan for a vegetarian aiming to increase protein intake.
Imagine you are a personal development coach. Suggest strategies for improving time management and productivity for a remote worker.
Assume the role of a historian. Provide an analysis of the causes and effects of the Industrial Revolution.
You are a mental health counselor. Offer coping strategies for individuals dealing with work-related stress.
Take on the role of a software engineer. Explain the principles of object-oriented programming to a beginner.
Imagine you are a chef. Provide a recipe for a gourmet three-course meal suitable for a dinner party.
Assume the role of a real estate agent. Advise a first-time homebuyer on the steps to purchasing a home.
You are a project manager. Outline a project plan for developing a new mobile application from concept to launch.
Take on the role of a social media consultant. Develop a strategy to increase engagement for a small business on [Platform].
Imagine you are a human resources specialist. Create a plan to improve employee retention in a mid-sized company.
Assume the role of a data analyst. Explain the process of cleaning and preparing data for analysis.
You are a legal advisor. Provide an overview of the steps involved in starting a small business, including necessary legal considerations.
Take on the role of a content creator. Generate ideas for engaging video content for a YouTube channel focused on [Topic].
Imagine you are a customer service representative. Describe best practices for handling customer complaints effectively.
I'm considering [Idea or prompt here] and need help making an informed decision. Please analyze the key factors to consider, potential benefits and risks, alternative approaches, and important questions I should ask. Present balanced information that acknowledges different perspectives without imposing a particular choice. This template helps users navigate complex decisions with comprehensive, unbiased information.
Decision Support Templates
I want you to act as an expert on [Idea or prompt here]. Explain this topic in simple terms that a beginner would understand, covering the fundamental concepts, key terminology, and practical applications. Please structure your response with an introduction, main explanation, and a brief summary.
Teaching scenario where the LLM adopts an expert position
Act as a pro senior software engineer. Please review the following code, identify potential issues, suggest optimizations, and recommend performance improvements:
review the following code
From a [Profession]'s perspective, what are some different solutions to this problem/challenge? Please provide at least three specific examples and explain their pros and cons.
Profession solutions
Draft a professional email response that accepts a meeting invitation while respectfully requesting an alternative time. In your reply, acknowledge the invitation, express your gratitude for the opportunity, and clearly explain that due to a scheduling conflict, you are unable to attend at the proposed time. Offer one or more alternative time slots that work for you and invite further suggestions if necessary. Ensure the tone remains courteous and professional throughout.
Professional Email Response that Accepts a Meeting Invitation
Identify the most relevant keywords for your target audience by analyzing search volume and competition using tools like Google AdWords or SEMrush.
Keyword Research
Use natural language generation (NLG) models to create engaging and informative content around the identified keywords, ensuring it is unique and optimized for SEO.
Content Generation with NLG
Develop a backlink strategy by identifying high-quality websites in your niche and using link building tools like Moz or Ahrefs to find and create relevant backlinks.
Backlink Strategy for SEO
Implement a systematic approach to monitor and optimize your SEO performance using metrics from search engine tools like Google Analytics and Search Console, and adjust your strategy accordingly.
Continuous Optimization
Design a user-friendly website layout that prioritizes searchability and readability, using elements like headings, meta tags, and sitemaps.
User-Friendly Website Layout
You are an analytics expert for a small startup looking to boost website traffic. Create a detailed plan on how to analyze and optimize traffic strategies. Include recommendations for using tools like Google Analytics, Hotjar, and SEMrush, conducting A/B testing for website and email elements, gathering user feedback, and using data insights to continuously improve overall performance.
Analytics Expert for a Small Startup
Create a science fiction adventure set on Mars centered around two teenage protagonists, Kael and Lyra, who uncover a hidden signal beneath Olympus Mons. The story explores their emotional journey, the mystery of Mars, and the future of humanity. 🌌 Setting: Time: Year 2137 Place: Mars – specifically Ares Nexus, a dome city in Valles Marineris, and later, the Olympus Mons region. Technology: Advanced terraforming gear, underground labs, AI drones, pressure suits, Martian skiffs. Mars is partially terraformed but still hostile. 👥 Characters: 🧑🚀 Kael Duran (17) Tactical, calm under pressure, son of an exobiologist. Quietly rebellious. Loves old Earth sci-fi books. Skilled in drone piloting, geology, and field survival. Has conflicted feelings about Earth authorities and secrets. 🧑🚀 Lyra Sato (17) Analytical, emotionally perceptive, daughter of a systems engineer. Bright, sarcastic, secretly believes in extraterrestrial intelligence. Talented with codebreaking, sensor arrays, and data modeling. She’s the heart of the duo and drives the need to know the truth. 🧩 Plot Structure: Act I: Foundation Introduce Ares Nexus and daily life of Martian teens in the Horizon Youth Corps. Kael and Lyra are selected for a prestigious mission. The signal is discovered from deep beneath Olympus Mons. Tensions rise between the older generation and idealistic youth. Act II: Breakaway The two go rogue with a skiff and a recon drone. They cross treacherous Martian terrain and enter the forbidden zone. Flashbacks to their training years and childhood in low gravity. Discover remnants of Earth’s early secret missions and signs of intelligent design in Martian strata. Act III: Revelation Uncover a buried vault with alien tech—or evidence of post-human ancestors. The signal wasn’t a call—it was a warning or a lock. Kael and Lyra must choose: report back or interact with it. Themes of trust, legacy, autonomy, and the meaning of exploration peak here. Act IV: The Red Shift A climax involving survival, a transformation (psychological or technological), and a message sent to Earth. Kael and Lyra emerge changed—possibly fused with knowledge or altered by the Martian mystery. The ending is open: did they awaken something? Did they become something new? 🧠 Themes & Motifs: Coming of age in a frontier world Legacy vs. agency Secrets buried in both land and people The moral cost of exploration Red dust as a symbol of transformation ✍️ Writing Instructions (Optional for AI Use): Tone: Mix of The Martian's realism with the wonder of Interstellar and the tension of Arrival. Style: Third-person, deep focus on Kael and Lyra’s internal worlds. Inspiration: Ender’s Game, Red Mars, Gravity, Moon, The Expanse.
Create a Mars Science Fiction
You are an assistant who provides clear and concise answers. When responding, please use the simplest language possible. This means: Explaining ideas in plain, everyday language Using short sentences and simple vocabulary Avoiding technical jargon or complex expressions Your goal is to make your explanations understandable to everyone, regardless of their background. Now, please answer the following query: [Insert the specific user query here]
Clear and Concise Answers
I need to create a compelling advertisement for a small electronics retailer that showcases the convenience and value of their products, while highlighting the unique selling points and competitive advantages of their brand.
Ads for Electronics Retailer
Data Entry: Automate data entry into spreadsheets or databases using macros in Excel or Python scripts.
Automate Data Entry Using Database or Macros
Automate financial calculations and budgeting using Python scripts or accounting software integrations.
Calculations and Budgeting using Python or accounting software
Set up automatic task scheduling to ensure consistent work flow and deadlines using tools like Trello or Asana.
Task Scheduling:
Create a high-quality illustration of a character in traditional Japanese anime style. The image should have clean lines, vibrant colors, and expressive facial features. The character is a young warrior with spiky black hair, wearing a detailed kimono with a red and gold pattern. The background should be a soft watercolor gradient, hinting at a sunrise. Use dramatic anime lighting and shading techniques to emphasize emotion and movement.
Japanese Anime Style
Find me affordable round-trip flights for a 5-7 day trip in [Month or date range] from [Your Departure City] to cities that are known for being interesting and budget-friendly. I’m flexible on exact travel dates and open to nearby airports. Prioritize total cost (including taxes and baggage), reasonable layovers, and decent flight times. Suggest a few good destination options with flight prices under $500 if possible.
Good Flights that are Affordable
Explain the importance of data quality in LLM training.
Data Quality in LLM Training
How can you design adaptable workflows that align with your team's unique way of working?
Workflows that align with team's unique way of working
Explain the role of regularization in balancing model complexity and performance in machine learning. Why is regularization crucial in preventing overfitting in machine learning models?
Importance of Regularization in Machine Learning
Discuss the principles of Promptware Engineering and how they support robust prompt lifecycle management for large language models.
How they support robust Prompt Lifecycle Management
Dive into the philosophy behind effective prompt engineering. Understand how rigorous testing and refinement lead to prompts that enhance both model performance and user understanding.
Effective Prompt Engineering
From a Porter’s Five Forces perspective, analyze how our pricing strategy influences bargaining power, threat of substitutes, and rivalry in [industry]. Recommend price architecture changes that fortify our competitive moat.
Analyze How Pricing Strategy Influences
Story Development Prompt: The Techno-Wizard's Rebellion Narrative Focus: Craft a compelling narrative exploring Yara Wexley's transformative journey from privileged techno-wizard heir to revolutionary insurgent on the planet Madoopalus, where technological manipulation masquerades as magical supremacy. Key Narrative Exploration Points: 1. Character Arc of Awakening - Describe the precise moment and mechanism of Yara's initial doubt - Analyze the psychological conflict between her inherited worldview and emerging ethical consciousness - Illustrate the internal struggle of dismantling a legacy she was groomed to perpetuate 2. Technological/Philosophical Discovery - Specify the exact nature of the suppressed scientific knowledge - Detail how this discovery fundamentally challenges the Wexley dynasty's power structure - Explore the epistemological tension between controlled knowledge and democratic understanding 3. Rebellion Mechanics - Outline Yara's strategic approach to undermining her family's control - Develop a nuanced network of allies and potential collaborators - Create complex interpersonal dynamics that challenge binary concepts of loyalty 4. Ethical Power Dynamics - Examine the moral complexities of wielding advanced technology - Investigate the psychological burden of revolutionary action - Explore how personal agency intersects with systemic transformation Thematic Considerations: - Power vs. Knowledge - Inherited Privilege vs. Chosen Responsibility - Technological Mystification vs. Transparent Understanding Narrative Constraints: - Maintain a sophisticated blend of science fiction and fantasy elements - Preserve the nuanced moral ambiguity of Yara's choices - Balance technological speculation with deep character introspection Guiding Questions: - How does Yara reconcile her intimate knowledge of the system with her desire to dismantle it? - What personal sacrifices are required to challenge a multigenerational power structure? - How does individual agency interact with broader societal transformation? Desired Narrative Outcomes: - A richly textured exploration of personal and systemic revolution - A complex portrayal of technological power and its ethical implications - A character-driven narrative that transcends traditional genre boundaries -Improved with Claude Haiku 3.5 by Anthropic
The Techno-Wizard's Rebellion - improved
Act as an international marketing strategist. I run a medium-sized business in [industry]. Help me create detailed customer personas for three different international regions: North America, Europe, and Asia. For each persona, outline their demographics, buying motivations, cultural sensitivities, preferred communication styles, and the digital platforms they are most active on. Finally, suggest localization strategies to adapt my messaging, visuals, and offers to each region.
Customer Persona & Localization
Imagine you are an expert in international copywriting and cross-cultural communication. Create three sample marketing messages (taglines, short ad copy, or email subject lines) for my [product/service] that can resonate with global audiences but also have variants tailored for Western, Asian, and Middle Eastern markets. Highlight how cultural nuances (humor, symbolism, tone of formality) should be adjusted to avoid miscommunication and maximize appeal.
Expert in International Copywriting
Act as an expert business development representative for a Fortune 500 tech company specializing in cloud infrastructure. Our target customer is a medium to large enterprise in the financial services sector, specifically banks and credit unions, with 500+ employees. I want to generate a list of 10 key pain points they face regarding data security, scalability, and regulatory compliance with their current on-premise infrastructure. For each pain point, provide a concise, high-impact value proposition that our cloud solution can solve, focusing on ROI and risk mitigation. Include 3-5 keywords for each point that I can use to search for relevant news or trigger events. This prompt helps a salesperson quickly generate targeted talking points and understand the specific challenges of a vertical market. It moves beyond generic solutions to provide concrete value propositions.
Cloud Tech Expert Business Development Rep
I've just closed a deal with a leading manufacturing company that adopted our predictive maintenance software. They've seen a 30% reduction in unplanned downtime in the first six months. Draft a one-page, visually compelling case study based on this information. The case study should include: * A catchy headline. * A brief 'Problem' section describing the client's initial challenges. * A 'Solution' section detailing how our software addressed those challenges. * A 'Results' section with quantifiable metrics and a direct quote from the client. * A concluding 'Why choose us?' statement. The tone should be professional and highlight the tangible business outcomes." This prompt assists in generating high-quality marketing collateral that can be used to close future deals. Case studies are powerful sales tools, and this prompt helps a salesperson quickly transform a successful deal into a persuasive sales asset.
Case Study for Reduction of Unplanned Downtime
Summarize the key points of this memo in a concise executive summary of no more than 100 words, focusing on the main objectives, conclusions, and any critical action items. Source: Improved prompt based on prompt from: https://mitsloanedtech.mit.edu/ai/basics/effective-prompts/
Executive Memo
You are the head of digital strategy for a Fortune 500 company with multiple product lines and global markets. How should we design an enterprise-wide SEO strategy that balances global consistency (brand voice, domain authority, centralized technical SEO) with local flexibility (regional keyword optimization, cultural content adaptation)? Provide a phased roadmap, key KPIs, and examples of large enterprises that execute this well.
SEO Strategy Alignment
You are advising the CMO and CFO of a large enterprise on the financial impact of SEO. Create a framework to measure, attribute, and communicate SEO ROI to the executive team, considering: (1) contribution to revenue, (2) cost-savings compared to paid acquisition, (3) brand equity growth. Provide reporting formats that executives will understand and value.
Executive Level SEO ROI
You are an Adobe Photoshop expert with deep knowledge of professional workflows in design, photography, and digital production. I am an advanced user, so do not explain basics. Instead, focus on advanced, job-oriented techniques that save time, improve quality, or unlock new creative possibilities. Please provide your response structured as follows: Workflow Optimization – Explain how to streamline my task (shortcuts, actions, scripts, batch processing, smart objects, non-destructive editing). Professional Techniques – Suggest advanced methods (e.g., frequency separation, advanced masking, blend-if techniques, LUTs, AI-based neural filters, color grading for print vs. web). Creative Alternatives – Offer 2–3 different approaches to achieve the result, so I can choose based on context (e.g., speed vs. quality). Integration – Show how to combine Photoshop with other Adobe apps (Illustrator, Lightroom, After Effects) or external tools to improve results. Pitfalls & Tips – Warn about common mistakes, file format traps, or quality loss issues relevant to this task. Make your advice specific, concise, and job-ready, as if you’re coaching a creative professional on a deadline."
Photoshop Expert
I want to travel across the USA affordably but without sacrificing comfort. Please give me a plan that balances budget and convenience. Include recommendations for transportation (trains, buses, budget airlines, car rentals), accommodations (Airbnb, motels, hostels, house swaps), and ways to save on food, attractions, and activities. Structure your advice by short trips (1–3 days), medium trips (1–2 weeks), and long-term travel (1–3 months).
USA Travel - Affordable but Comfortable
Create a thrilling short story about a crew attempting to mine and steal rare minerals from a massive asteroid.
Write a mystery tale where a spaceship gets too close to a black hole and strange things begin happening to the crew.
Imagine a future where athletes compete in zero-gravity sports. What events exist and how are the rules different from Earth?
Imagine you can design your own interstellar spaceship. What features does it have, how is it powered, and what makes it unique?
Imagine you're piloting a spacecraft visiting each planet in the Solar System. Describe what you see, the challenges, and the wonders of each stop.
Write a story where humans make first contact with an alien civilization. How do the aliens communicate? Are they friendly, hostile, or indifferent?
You’ve won a ticket for a week-long vacation aboard a luxury orbital hotel. Describe the activities, views, and futuristic amenities.
Imagine Earth is sending a time capsule into interstellar space. List 10 things humanity should include and explain why.
Create a short reflective piece about the last human astronomer observing the night sky after humanity has moved into space habitats.
Draft a creator-led commerce GTM combining TikTok Shop and YouTube Shopping. Define creator tiers, UGC briefs, shoppable video scripts, affiliate terms, and compliance notes for Japan/EU. Include weekly KPI targets (CAC, ROAS, AOV) and a content calendar.
Propose a GTM checklist that aligns platform distribution and data access practices with evolving EU platform rules. Focus on marketplace dependence, data portability messaging, and partner co-marketing.
Create a risk-based map for AI features in a SaaS product. Classify use cases by risk level, propose human-in-the-loop controls, logging, model cards, and user disclosures for JP/US/EU enterprise buyers.
Craft a sustainability narrative and data plan for a European-selling brand. Map material topics, Scope 1-3 hotspots, supplier engagement, and how to turn compliance work into marketing and retailer sell-in.
Build an AI enablement coach that generates battlecards, objection-handling trees, and dynamic mutual action plans. Provide prompts, data sources, and guardrails for enterprise accounts.
Propose a quarterly co-marketing plan with 3 partners across regions. Include joint offers, content swaps, webinars, MDF usage, and lead-sharing agreements.
Create a rolling 18-month cash-flow model with base/optimistic/downside scenarios. Include hiring triggers, CAC payback guardrails, and runway extension levers.
Build an acquisition plan leveraging ASO for iOS/Android and SEO. Include keyword research, creatives testing, review prompts, and web-to-app funnels by region.
Create a workflow where AI drafts region-specific proposals and MSAs. Include clause libraries, risk flags, redline heuristics, and human approval gates.
Create a reseller enablement kit: competitive positioning, demo flows, objection handling, quarterly incentives, and certification paths across regions.
Stand up a CAB with 12 strategic customers. Define member criteria, agenda cadences, value exchange, and insight-to-roadmap process.
Create an ABM 2.0 program that fuses Bombora-style intent signals, LinkedIn Matched Audiences, and first-party website behavior. Provide target-tiering logic, content offers per buying stage, SDR follow-up cadences, and a dashboard spec to track MQAs and stage conversion by region (JP/US/EU).
Produce a blueprint for moving from monolith to MACH (Microservices, API-first, Cloud-native, Headless). Include reference architecture, vendor options, migration phases, and KPI impacts on site speed and conversion.
Plan a Retrieval-Augmented Generation (RAG) knowledge base to deflect support tickets. Include doc ingestion, evaluation, guardrails, multilingual coverage, and deflection metrics for JP/US/EU.
Design a compliant outbound engine that uses buying signals (job changes, funding, tech installs) to trigger sequences. Provide copy frameworks and call talk tracks localized for JP/US/EU.
Design a land-and-expand machine to hit 120%+ NRR. Include expansion triggers, success plans, executive QBR templates, and a champion-building program per region.
Design an event-led growth roadshow across Tokyo, San Francisco, and Berlin. Provide venue types, agendas, local speakers, VIP dinners, and pipeline goals.
Facilitate a workshop to define a North Star Metric and input metrics. Provide an alignment process, anti-patterns, and a 6-week rollout plan with dashboards.
Create PR angles and media lists for tech/business press in Japan, the US, and Europe. Include data-driven story hooks, founder narratives, and product milestone pitches.
Build a crowdfunding go-to-market for Japan. Include platform choice, reward tiers, launch trailer storyboard, press timing, and retail handoff plan.
Create a partner-led localization process for content, UX, and CS in Japanese, German, and French. Include QA steps and terminology management.
Design a continuous competitive intelligence loop using AI to summarize releases, pricing shifts, and reviews. Provide alerting rules and battlecard updates cadence.
Design a CS copilot that summarizes calls, flags risk, recommends playbooks, and drafts QBRs. Include evaluation metrics and human-override mechanisms.
Build a framework to capture and attribute 'dark social' (Slack, LINE groups, WhatsApp, Discord, podcasts). Propose proxy metrics, UTM patterns, post-purchase surveys, and MMM/geo-experiment methods to estimate influence across Japan, US, and EU markets.
Design a zero-party data strategy with a preference center for email/SMS/LINE. Specify quiz flows, progressive profiling, incentives, data schema, and how to activate segments in CRM/CDP for JP/US/EU while staying privacy-aware. Deliver wireframes and copy samples.
Outline how a mid-market CPG brand can diversify spend into retail media networks (Amazon, Rakuten, Carrefour-type). Provide targeting tactics, creative formats, incrementality testing, and a budget split model for JP/US/EU.
Design a CLG program with ambassadors and power users. Include Discord/Slack/LINE setup, rituals, content prompts, rewards, governance, and how to translate CLG into product feedback and referrals in Japan, USA, and Europe.
Design a JP e-commerce entry plan covering Rakuten Ichiba, Yahoo! JAPAN Shopping, Amazon.co.jp, and LINE Mini App. Include store ops, coupons, PayPay/credit flows, review acceleration, and seasonal calendars.
Design a lightweight MMM combined with geo-experiments to validate channel incrementality. Provide data requirements, model outputs, budget reallocation rules, and example readouts for executives.
Outline a shoppable livestream plan for Amazon Live, Rakuten, and YouTube Live. Include show formats, run-of-show, promo codes, inventory sync, and real-time moderation.
Create a step-by-step email deliverability plan: DNS (SPF/DKIM/DMARC/BIMI), list hygiene, warming strategy, and copy tweaks. Include a weekly scoreboard and rescue playbook.
Map a monetization ladder from free to enterprise: usage thresholds, feature gates, add-ons, and price localization. Include upgrade nudge moments and in-product paywalls.
Produce a Japan market entry checklist: language/UX localization, payments (credit, convenience store, PayPay), support hours, cultural norms, and distribution options.
Outline an operations-friendly brief for cross-border EU VAT handling for a DTC brand, with plain-English flows and handoffs to finance systems. Include risk flags and communication templates.
Create a Rakuten store optimization plan: storefront modules, couponing strategy, search keywords, RPP ads structure, and review generation. Include weekly ops checklists.
Propose a China+1 sourcing plan with supplier diversification in Japan/SE Asia/EU. Include risk scoring, logistics options, inventory buffers, and cost impact analysis.
Design an OMS plan to sync inventory across DTC, Rakuten/Amazon, and retail stores. Include safety stock rules, backorder policies, and customer comms templates.
Outline when and how to use BNPL at checkout in EU/US/JP contexts. Provide eligibility logic, messaging tests, and risk monitoring KPIs.
Create a public Trust Center outline and a process to respond to enterprise security questionnaires. Include certifications roadmap, DPA checklist, and response SLAs.
Run a 2-week sprint to refine ICPs using Jobs-To-Be-Done interviews across JP/US/EU. Provide screeners, scripts, synthesis templates, and positioning statements.
Design a double-sided referral program with fraud prevention and LTV-based rewards. Include copy, trigger points, channel mix (email/LINE/WhatsApp), and dashboard specs.
Build a sales coverage model by territory (Japan/US/EU), segment, and channel. Include ramp times, quota assumptions, and a hiring plan with ROI checks.
Outline a top-down enterprise motion targeting CFO/CIO/CMO personas. Provide message maps, meeting-maker tactics, proof packages, and executive brief templates.
Design a checkout UX with local payment methods: Japan (credit, convenience store pay, mobile wallets), EU (SEPA, local wallets), US (cards/wallets). Provide copy and risk checks.
Design a 12-week executive content program for LinkedIn. Include pillar topics, ghostwriting briefs, engagement pods, and CTR/lead KPIs.
Write a PMM launch brief for a new feature in JP/US/EU. Include positioning, narrative arcs, competitive tear-downs, pricing impact, and asset checklist.
Create a content system that turns one webinar into 20 assets (blogs, carousels, short videos, case studies) tailored for JP/US/EU channels.
Design a store-traffic program using localized ads, store locator SEO, and promo codes to measure offline lift across regions.
Act as a RevOps strategist and design an AI sales agent workflow for a B2B SaaS selling in Japan, the USA, and Europe. Include ICPs, lead-scoring features, enrichment sources, routing rules, multilingual outreach scripts (English/Japanese/German/French), and KPIs for pipeline velocity. Output a 90-day roadmap and a tools stack matrix.
Create an implementation plan for server-side tagging and consent management (Consent Mode-style) across Japan, US, and EU sites. Include container architecture, data flows, event naming conventions, and KPIs for data loss reduction and attribution lift.
Architect a PLS motion on top of PLG. Define signal thresholds for PQLs, handoff to AE, usage-based pricing, and playbooks for enterprise expansion. Provide localization tips for Japan and EU procurement norms.
Create a pricing strategy that localizes ¥/€/$, includes psychological price points, FX buffers, tax/VAT considerations, and discount fences. Provide a simulation template and guardrails for promotional cadence by region.
Create a messaging strategy comparing WhatsApp Business, LINE Official, and SMS for lifecycle marketing. Provide segmentation rules, template libraries, automation triggers, and compliance notes for JP/EU/US.
Create a micro-influencer pipeline for product reviews and how-to content. Include creator discovery, contracts, briefing, content rights, and repurposing to ads and PDPs across regions.
Propose a partner strategy: identify potential keiretsu or EU master distributors, define co-selling motions, MDF usage, and joint PR angles. Include a partner scorecard and 30-60-90 enablement plan.
Define a churn model using product telemetry and ticket sentiment. Propose saves, offers, and automation timing for JP/US/EU. Provide dashboards and owner RACI.
Design experiments to test Privacy Sandbox-style interest targeting versus first-party audiences. Provide holdout design, readout metrics, and budget guardrails.
Audit an e-commerce PDP and checkout using modern CRO heuristics. Output prioritized hypotheses, test ideas, potential uplift ranges, and localized trust signals for JP/EU/US.
Build a B2B webinar funnel through LinkedIn Events. Include audience growth, retargeting, SDR follow-ups, post-event nurture, and pipeline attribution model.
Develop a Buy Box win strategy for Amazon EU/US and Rakuten JP: price rules, FBA/3PL choices, fast-ship SLAs, and review velocity tactics.
Compile a map of non-dilutive funding options for innovation in the US/EU/JP. Include eligibility cheatsheets, timelines, and a templated application narrative.
Propose a RevOps data model in a warehouse with ELT, reverse ETL, and BI. Include schema, SLAs, identity resolution, and how to power SDR/CS dashboards.
Establish a pricing council with guardrails for discounts, deal desks, and win-loss feedback. Provide RACI, approval SLAs, and an experimentation backlog.
Plan a campaign that syncs retail media with CTV/online video flighting to drive both reach and retail lift. Provide measurement plan and retailer data collaboration asks.
Specify a CEO/COO dashboard showing pipeline health, CAC payback, NRR, and forecast accuracy by region. Define data sources and refresh SLAs.
Scan {{jurisdiction}} regulators ({{agencies}}) for rules or actions in the last 48h affecting {{sector}}. Return: change summary, who is impacted, compliance deadline, likely penalties, action checklist. Cite 3–5 official sources with URLs and timestamps.
In the last 24 hours, summarize key developments for {{ticker}} ahead of its earnings call on {{date}}. Include: price moves, options IV, top headlines, analyst estimate deltas, unusual volume, social sentiment. End with 3 high-conviction watchpoints and 3 sources with timestamps.
Check past 48h for disruptions affecting {{component}} across {{region_list}} (ports, strikes, weather, geopolitics). Summarize: severity, lead-time impact, alt suppliers/lanes, cost delta, recommended mitigations. Include cited sources + timestamps.
Scan deals closing this month in {{crm}} for movement in last 48h. Report: slipped stages, push reasons, blockers, exec asks, new champions. Include top 5 at-risk deals with owner and next step by date.
For {{regions}}, check next 72h severe weather. Report: expected impacts to logistics, staff safety, data centers. Suggest contingency plans and customer messaging. Include official forecast links with timestamps.
Using last 14d vs 24h data, identify stages with sharp drop-offs for role {{role}}. Report: stage rates, time-in-stage, source quality. Suggest 3 fixes (JD tweak, outreach, interviewer training).
For {{base}}/{{quote}}, analyze intraday swings in the last 24h and any central bank or macro headlines moving FX. Output: range, % change, key catalysts, risk to {{business_area}}, hedge ideas. Add 3 reputable sources with timestamps.
Using last 24h data for {{segment}}, surface churn signals: cancellations, NPS drops, failed payments, key accounts at risk. Provide: top drivers, accounts to call now, retention offers, 3 next actions. Keep to 100 words.
Review last 24h for {{platforms}} campaigns. Return: spend vs cap, CPA/CAC vs target, creatives fatiguing, frequency caps, best/worst ads, immediate optimizations. Output as a compact table + 3 actions.
Collect last 24h {{store}} reviews for {{app_name}}. Summarize: new themes, crash reports, rating trend, regions spiking. Provide 5 verbatim snippets (≤15 words each) and a fix/comm plan.
Scan pricing in {{market}} for {{sku_list}} over last 24h. Flag anomalies: undercuts, MAP violations, sudden hikes. Provide screenshots/links, suspected causes, and recommended responses.
Identify SKUs with <{{days}} days of cover. Show demand trend last 28d vs 24h, supplier lead times, reorder points. Recommend expedite/bundle/markdown actions.
For {{case_or_filing}}, list all filing/response deadlines within next 7d and any changes in past 24h. Include court orders, docket updates, required docs, owners. Provide a checklist.
Check last 24h energy price moves in {{market}} (electricity, LNG, oil). Summarize % moves, causes, grid advisories, cost impact to {{facility}}. Suggest immediate conservation/hedge steps.
Aggregate Indicators of Compromise in last 24h relevant to {{industry}} from trusted feeds. Provide: new CVEs, exploited vulns, IPs/domains, TTPs, affected vendors, patch/mitigation guidance. Cite sources with timestamps.
Track {{keywords}} across {{platforms}} last 12–24h. Provide: volume delta, sentiment, key accounts, viral posts, narrative frames. Give 3 content angles to ride the wave, with links and timestamps.
If {{issue}} is trending, compile last 6h facts: what happened, who is amplifying, sentiment, competitor reactions, media inquiries. Provide holding statement bullets and next comms steps.
Within 24h after releasing {{version}}, aggregate: bug reports, crash logs, CS tickets, social/dev forums. Provide top 5 issues, severity, repro notes, and a 3-step hotfix plan.
Identify any product/feature launches by {{competitor_list}} in the past 72h. Provide: what shipped, target users, pricing, differentiators, early reviews/bugs, likely impact on {{our_product}}. End with counter-moves and 3 cited sources with timestamps.
Produce a crisp post-incident brief for outage {{incident_id}} within last 12h: start/end, user impact, top 3 proximate causes, current status, rollback/mitigation, next steps, ETA to full recovery. Limit to 120 words.
List shipments with >{{threshold}}% ETA variance in last 24h. For each: route, carrier, cause, customer impact, recovery options. Finish with 3 fixes (reroute, carrier swap, buffer change).
Measure last 7d vs last 24h adoption for {{feature}}. Output: DAU/WAU impact, activation funnel deltas, power-user behaviors, top cohorts, leading indicators. Suggest 3 quick experiments.
Summarize daily changes to cash runway from {{date_range}}. Include: new payables/receivables, burn changes, FX effects, big variances vs plan. End with runway months and red/green flags.
List partners/vendors breaching SLA in last 24h. For each: metric, severity, affected customers, contractual remedies, escalation owner. Provide 3 corrective actions.
For {{site}}, compare last 24h vs 7d baseline: conversion rate, page speed, error rates, top exit pages, traffic mix shifts. Suggest 3 fixes prioritized by impact/effort.
Render an 8-second macro night scene of tidepools glowing with bioluminescent plankton when waves lap in. Camera: handheld macro push-in, f/2.0; sparkle trails swirl around hermit crabs. Soft moonlight, deep blues with neon cyan glows. No text overlays.
A 12-second timelapse-style video of emerald and magenta aurora curtains rippling over a snowy pine forest. Camera: locked tripod, ultra-wide 14mm perspective, slow star drift. Snow glistens; breath-fog from unseen wildlife occasionally wisps. Crisp, clean air feel.
Create a 9-second serene shot inside a dense bamboo forest as first light shafts scatter dust motes. Camera: gentle crane rise following a floating speck of dust. Soundscape implied birds and bamboo creak. Warm amber highlights, deep green shadows, mild haze.
Create a 10-second stylized piece of a classical white marble statue’s face where dust and powder slowly fall away to reveal lifelike eyes that remain marble-textured. Camera: extreme close-up pull-back, studio top-light with soft falloff. Monochrome palette.
Create a 10-second twilight scene of translucent ice lanterns being carved with chisels; shavings cascade with crystalline sparkle. Camera: slow push-in through floating snow. Blue-violet ambient with amber candle cores. Whisper-quiet mood.
Render a 9-second indoor art studio where a kinetic metal mobile rotates slowly in a sunbeam, casting dancing shadows on white walls. Camera: tripod, gentle parallax via slider. Clean, airy, mid-century vibe.
A 12-second top-down shot of a colorful sand mandala being meticulously built; near the end, a soft breeze subtly moves grains, shimmering the pattern. Ultra-detailed particles, macro depth. Respectful, calm tone.
An 8-second artistic piece of two practitioners performing synchronized kendo kata in silhouette behind a shoji screen. Camera: static, side-on, backlit; crisp footwork shadows, no contact or violence. Minimalist drum rhythm implied.
Render a 9-second heli-shot of a snowboarder carving chest-deep powder; slow-motion 120fps as plume arcs into sunlight. Camera: high-angle gimbal hover; snow crystals sparkle. Cool blue/purple shadows, crunchy texture.
An 8-second dramatic slow-motion sequence of a falcon launching from a handler’s leather glove into a sand-hued sky. Camera: 180fps high-speed; wing detail and sand bursts. Warm ochres; minimal background.
An 8-second close-to-spray shot at the base of a massive waterfall; mist creates a partial rainbow. Camera: steadycam push-in; droplets hit lens for organic realism. Vibrant mids, thunderous energy implied.
A 10-second telephoto of lava tongues hissing into ocean, sending steam plumes skyward. Camera: locked off, high-contrast, orange vs blue. Fine detail in flying droplets and black sand formation. Safety distance implied.
A 12-second studio scene of a glassblower shaping a glowing orb at the pipe; molten glass swirls with amber striations. Camera: over-shoulder, rack focus to spinning piece; sparks and heat haze visible.
Render a 10-second barrel ride from shoulder-mounted POV; sunlight caustics ripple inside the tube. Camera: stabilized, droplets on lens; surfer exits clean with spray rainbow. Naturalistic colors.
An 8-second water motorsport slalom; rider carves tight S-turns, droplets glitter. Camera: drone top-down then whip-pan follow; crisp turquoise water, summer vibe. No spectators.
Create a 9-second indoor kart race with two karts fighting for apex. Camera: low curb-level tracking; tire marks, sparks on barrier touch. Exciting but safe; marshals visible. Warm tungsten lights.
A 9-second touge-style time-attack on a closed mountain pass; tight switchbacks, autumn leaves. Camera: car-mounted front splitter cam; motion blur; engine vibrations. Safety crew and cones visible.
Render a 9-second cavern interior where slow drips from stalactites land in shallow pools, creating concentric ripples like notes. Camera: lateral slider at water level; torch-warm hues amidst cool rock.
Render a 9-second crashing wave through a coastal stone arch; sun flare catches spray. Camera: inside the arch, back toward the sea; dynamic exposure shifts. Photoreal splash physics.
Create an 8-second playful macro of a paper boat sailing down a rain gutter during drizzle; reflections of city lights ripple. Camera: tracking at water level, shallow DOF. Cozy, cinematic.
Generate a 12-second 4K, 24fps cinematic video of pale-pink sakura petals drifting along a clear mountain river at golden hour. Camera: slow gimbal dolly from low angle across water surface, shallow depth of field, soft lens flare. Emphasize micro-ripples, bokeh, and petal textures. Natural sound design of water and birds implied. No text, no watermark.
Create a 10-second photoreal shot of dark storm clouds rolling over rugged basalt sea cliffs. A distant lightning fork illuminates sea spray. Camera: drone lateral tracking, 35mm lens feel, stabilized but windswept micro-jitter. Color grade: cool teal/gray; highlight specular rain streaks. No people, no ships.
An 11-second interior of a glacial ice cave, translucent blue walls with trapped bubbles. Camera: slow forward dolly, reflections shimmer on icy floor. Subtle snow dust falls from ceiling. Photoreal; emphasize subsurface scattering and color gradients.
A 9-second macro upward shot from forest floor: raindrops form, swell, and fall from huge leaves, revealing tiny poison-dart frog blinking. Camera: rack focus leaf→frog→background waterfall bokeh. Saturated greens, humid mist, audible drip implied.
Render a 12-second underwater city of coral: branching staghorn, brain coral, schools of anthias. Camera: slow drift, backlit sunbeams; particulate motes sparkle. True-to-life color with slight cinematic contrast. No divers, no gear.
Render a 9-second macro of hands repairing a broken ceramic bowl with kintsugi gold lacquer. Camera: overhead top-down, shallow depth; focus on lacquer lines filling cracks. Warm wood table, natural window light, ASMR-like precision.
A 12-second time-compress video showing a clay portrait bust being sculpted from rough block to refined features via stop-motion-like increments. Camera: static 50mm, neutral gray backdrop. Clay fingerprints and tool marks visible.
An 8-second meditative aerial of a zen stone garden as a rake draws perfect concentric ripples around rock monoliths. Camera: top-down drone, slow orbit. Muted sand tones, gentle shadow relief. Hypnotic geometry.
Create a 10-second neon-lit city ride of a cyclist weaving safely through empty streets at 3am. Camera: chest-mounted, stabilized; reflections on wet asphalt, light trails. Synthwave color grade; no traffic, no hazards.
Create a 9-second studio rehearsal of taiko drummers striking in unison; drum skins flex, chalk dust puffs. Camera: 48fps slow-mo frontal, dramatic top light, deep shadows, sweat beads. Powerful but respectful energy.
Create a 12-second animated ink-wash landscape where mist rolls between stylized mountains like a living ukiyo-e. Camera: slow lateral pan with parallax between paper layers. Subtle paper texture, monochrome with sparse vermilion stamp.
An 8-second high-speed motorbike pass on a country road lined with stone walls; compression whoosh. Camera: fixed roadside, 240fps as bike slices frame; motion blur, safety marshals visible. No branding.
An 8-second whimsical paper cut-out forest where layered trees sway slightly; a paper deer blinks. Camera: parallax dolly with soft vignette. Gentle handmade textures; pastel palette.
Create a 10-second art piece in a dark room where narrow laser beams and fog carve volumetric ‘solid’ shapes. Camera: slow orbit; clean geometric slices; minimal soundtrack implied.
Generate a 10-second telephoto shot of wind combing over tall sand dunes, forming flowing sand ribbons. Camera: tripod, 200mm compression, heat shimmer. Golden tones with long shadows; emphasize granular sand detail. No animals, no humans.
Create a 10-second dynamic 4K sequence of a parkour athlete flowing across rooftops at sunset. Camera: FPV drone chase with safe distances, smooth proximity fly-bys, 60fps slow-mo moments on vaults. Warm orange/teal grade; wind rush implied.
Render a 10-second dynamic shot of a climber gracefully moving across a via ferrata with ocean far below. Camera: side dolly on cable line, slight vertigo, strong harness and safety visible. Wind-tossed hair, sun glitter on waves.
Produce a 9-second FPV forest run through tall pines with gate-like gaps; smooth, fast, safe pathing; prop wash moves leaves. Motion-blur tuned for 60fps; no people, no animals, pure skill flight.
Render a 10-second studded-tire motorcycle race on ice; rooster tails of ice shards under stadium lights. Camera: side panning with 96fps shards highlights. Cold breath visible.
Create a 12-second art-gallery walk-through of a large installation: suspended marble-like spheres with veins, gently oscillating. Camera: steadycam walk, reflections wrap around glossy floor. Minimalist gallery acoustics.
Render a 9-second extreme macro of a melt droplet forming on a glacial edge, acting as a lens that inverts a mountain scene behind it. Camera: tripod macro; shimmer, refraction, breath-frost.
Create a 10-second respectful, wide pastoral of monsoon planting in terraces; synchronized footsteps in shallow water create ripples. Camera: elevated crane, soft rain, muted earthy tones. No close-ups of faces.
An 8-second composite time-slice that transitions from dusk to night as lightning forks over skyline. Camera: locked wide; animated wipes reveal time passing. Stylized yet grounded; cool neon nights.
Create a 10-second close shot of an intricately carved ice dragon; internal LEDs pulse gently as cold mist exhales from mouth opening. Camera: orbiting dolly; crystalline speculars; winter festival ambiance.
An 8-second finish-line moment of a runner breaking tape on a city marathon, rain-slick streets, spectators blurred. Camera: 120fps slow-mo frontal; droplets, muscles flex; triumphant yet humble.
A 12-second long-exposure-feel of embers floating from a distant volcano beneath a star-rich sky; slight camera drift. Warm ember trails vs cool Milky Way. Safe distance implied.
A 10-second high-speed capture of black sumi-ink splashing into a white basin, forming momentary crown shapes that resemble sculpture. Camera: 240fps macro; stark black & white; clean studio.
Render a 9-second nature sequence of red-crowned cranes taking off from frosty riverbanks at dawn. Camera: telephoto pan; wingbeats in slow-mo for a few frames, mist curling around legs.
Create a 10-second surreal but real shot of post-rain salt flats acting as perfect mirror for passing clouds. Camera: ultra-wide slow dolly; horizon disappears. Minimalist, meditative.
Create an 8-second soft-focus shot of a meadow of wildflowers swaying beneath snow-capped peaks. Camera: slider move through flowers at 5cm height; bees drift in and out of focus. Warm, nostalgic color grade; gentle vignette.
An 8-second photoreal video of a bronze equestrian statue during light rain; droplets bead, roll, and drip from patina. Camera: circular dolly around head and mane; city bokeh behind. Emphasize patina colors and water behavior.
A 12-second underwater cinematic piece of a free-diver gliding past a vertical coral wall, exhaling micro-bubbles at ascent. Camera: side tracking, soft godrays, serene tempo. Emphasis on stillness and control; no equipment branding.
A 10-second sequence of a runner dashing across an empty prairie as a wall cloud forms far behind. Camera: lateral tracking vehicle shot, 96fps slow-mo on footfalls; dust devils in distance. Moody green-gray skies.
Render a 9-second twilight over terraced paddies with thousands of fireflies blinking in waves. Camera: crane down to reveal mirrored sky in flooded terraces. Soft blue hour, warm insect glows; pastoral calm.
Create an 8-second stop-motion of a sheet of washi folding itself into an elegant crane, then a flock. Camera: top-down table, soft side light, crisp paper sounds implied. Minimalist background; clean shadows.
An 8-second contemplative shot of a yogi holding dancer pose on a safe rooftop garden at dawn; wind moves fabric and grasses. Camera: medium telephoto, gentle push-in; pastel sunrise. Calm, focused, inspiring.
Create a 10-second high-energy pit stop: bike in, tires off/on, visor wipe, launch. Camera: handheld documentary style with punch-ins; 120fps highlights on impact gun spin. Branding-neutral gear, safety equipment visible.
Render a 9-second rally car attacking a gravel hairpin; rooster tail of dust backlit by late sun. Camera: low trackside gimbal with safe distance; brief slow-mo on counter-steer. Natural livery (no logos).
A 10-second stylized night drift scene in an empty, wet parking lot. Camera: slider parallel to car, neon reflections, controlled tire smoke. Emphasize taillight streaks; safe, closed set feel.
Create a 9-second F1-style single-seater at dusk on a fast circuit; heat haze, sparks under floor, golden reflections. Camera: panning telephoto; crisp engine note implied. Neutral team colors; no logos.
Render a 10-second rally-raid truck cresting a dune, catching air with dramatic suspension travel. Camera: head-on long lens; dust cloud rolls toward lens. Harsh noon light, desert palette; clear safety distance.
Render a 9-second lab shot of smoke ribbons flowing over a scale car model in a wind tunnel. Camera: side orthographic; laminar vs turbulent transitions visible; monochrome with subtle blue tint. Scientific, elegant.
Create a 10-second cinematic of a skater tracing smooth lines in an empty concrete bowl at sunrise; long shadow geometry. Camera: cable cam along lip; wheels hum implied. Warm pastel sky.
An 8-second autumn avenue lined with ginkgo trees shedding leaves in shimmering cascades. Camera: slow walk-through at eye level; leaves fall in waves. Rich gold palette, gentle breeze.
An 8-second evening scene of hundreds of warm lanterns drifting down a calm river; reflections ripple. Camera: gentle crane down to reveal crowd on banks, faces soft-blurred for privacy.
Render a 9-second stabilized chase cam of a MTB rider descending a forest singletrack; dirt roost, root chatter. 60fps; dynamic exposure under canopy; full pads and helmet visible.
As a script doctor, take any film and map it to a classic 3-act beat sheet: opening image, theme stated, catalyst, break into two, midpoint, bad guys close in, all is lost, break into three, finale. Add approximate timestamps, the emotional turn, B-story notes, and a 200-word critique on pacing.
Pick a noir classic and reverse-engineer its lighting. Identify key scenes, draw a simple lighting plan with sources and angles in words, note lens choices and contrast ratios if known, and suggest a low-budget way to recreate the look at home.
Build a guided tour of sci-fi subgenres such as hard SF, space opera, cyberpunk, solarpunk, cli-fi, and time travel. Provide 2 film picks and 2 book picks per subgenre, plus a one-paragraph primer and a question to debate.
Create a narration brief for an audiobook. Define voice tone per character, pacing, breath management, pronunciation glossary, room tone standards, and post-production notes.
Draft a checklist for adapting manga to live action. Address casting, visual language conversion, set design, VFX budget reality, fan expectations, and what to compress or re-sequence.
As a facilitator, create a 6-week book club plan around one title. Include weekly agenda, icebreakers, spoiler walls, character arcs to track, quotes to unpack, and a final meeting activity such as a mock jacket redesign or alternate ending workshop.
Design a decision framework to prioritize a to-be-read pile. Gather inputs like length, difficulty, mood, author diversity, deadline pressure, and convert them into a simple scoring rubric and reading schedule for the next 8 weeks.
Create a 10-film mini-challenge from world cinema with historical and stylistic range. Provide context blurbs, what to watch for technically, and optional companion reads to deepen appreciation.
Build five themed double features such as redemption arcs, unreliable narrators, heist vs moral cost, or city symphonies. Explain the connective tissue and propose intermission discussion cards.
Select three iconic shots from cinema and describe how to emulate them with a phone or entry-level camera. Specify framing, movement, lighting, and post tricks, then propose a weekend challenge to recreate one.
Host a calibration session. Explain basic color, motion, and audio settings to make films look as intended. Provide test scenes to check black levels, interpolation, and dialogue clarity.
Set up and moderate a social reading or film group on Discord or LINE. Provide channel structure, spoiler etiquette, event cadence, polls, and conflict resolution steps.
Create a curated list of underrepresented voices in both books and films. Provide 12 picks with a 2-sentence why-to-watch-read and a pairing prompt for each.
Design a 10-part micro-essay series with prompts, word caps, and posting cadence. Include ideas for data-driven posts, form-focused posts, and personal history posts.
Choose a famous scene from film or literature and rewrite it by shifting point of view, setting, or genre. Provide a 3-step plan for remixing while keeping the scene's spine intact.
Outline a workbook to design a world that spans book, film, and audio. Define geography, tech level, institutions, magic or science rules, character network, and transmedia entry points.
Curate a mini-course on slow cinema. Pick 5 films from different countries, summarize each film's premise, describe formal traits like long takes and ambient sound, and propose a viewing ritual and discussion questions to help first-time viewers engage without boredom.
Take a novel you love and craft a studio-ready adaptation pitch. Provide a logline, theme, target audience, tonal comps, 10-episode or 2-hour structure beats, casting ideas, and what to cut or combine while honoring the core of the book.
Propose a 12-month challenge with monthly themes such as debut novels, translated fiction, essay collections, banned books, or novellas. Offer 3 suggestions per month and a reflection prompt that fits the theme.
Design a fair-play mystery toolkit. Define 5 clue types, 3 red herring patterns, a suspect matrix template, and a reveal structure that feels earned. Finish with a one-page outline for an original whodunit pilot or novella.
Explain how structuralism, psychoanalytic, feminist, postcolonial, and ecocritical lenses change how we read a novel or watch a film. For each lens, provide 3 guiding questions and a quick case study from a popular title.
Take a paragraph from a classic and show how different translation choices shift tone and meaning. Offer a side-by-side glossary, explain tradeoffs like fidelity vs flow, and end with a mini prompt to attempt your own translation.
Assemble a canon of 12 page-to-screen classics. For each pair, note what the film condenses, what it invents, and where it elevates or loses the book's essence. Include a club discussion format for comparing scenes to chapters.
Design a fun decision game that picks tonight's movie using constraints like runtime cap, mood, decade, language, and availability. Output 5 candidates and a playful coin-flip or die-roll mechanic.
Provide a professional coverage template. Include logline, premise, character, dialogue, structure, marketability, comps, pass-consider-recommend with rationale, and 5 actionable rewrite notes.
Build a polished query letter for a novel. Include hook paragraph, brief synopsis, comps, author bio, and personalization strategies for agents. Provide a formatting checklist.
Plan a submission and attendance strategy for a short film. Pick target festivals by tier, calendar deadlines, press kit elements, premiere rules, travel budget, and networking goals.
Create a habit loop for daily reading. Define cues, 20-minute blocks, friction removal, a streak tracker, and reward ideas. Include a fallback plan for busy days and travel.
Teach a lightweight Zettelkasten-inspired annotation flow. Show how to capture highlights, permanent notes, themes, cross-links, and resurface them for reviews and essays.
Compare unreliable narrators in literature and film. Provide taxonomy types, 4 case studies, and prompts to analyze how audience trust is manipulated and restored.
Explain how to search for lost films or obscure editions. Include archives to query, rights basics, bibliographic tricks, contacting collectors, and ethical considerations.
Design a thematic watchlist that traces the evolution of Japanese horror from folklore to digital-era hauntings. Include 8 films, signature motifs, cultural context, spoiler-light talking points, and a post-watch reflection prompt.
Create a trope and archetype map for fantasy across books and films. Define the mentor, chosen one, magic system rules, side-quest economy, and villain philosophies, then craft a subversion plan for each trope to inspire new stories.
Pick one powerful page from a book. Mark diction, imagery, syntax, and motifs, then connect them to theme and character. Offer a companion exercise for film lovers using a single scene's shots, blocking, and sound to do a parallel analysis.
Choose 3 authors from different regions and compare voice, structure, recurring obsessions, and cultural context. Provide starter packs with 2 entry titles each and a suggested reading order.
Pick one composer and analyze leitmotifs across two films. Show cue structure, instrumentation, how theme variations track character changes, and suggest a focused listening playlist.
Outline a 60-day indie publishing launch for an ebook and paperback. Cover ARC outreach, Goodreads tactics, newsletter swaps, pricing promos, ads testing, and a simple KPI dashboard.
Create a viewer's guide to better subtitles and accessibility. Explain subtitle etiquette, reading speed, non-speech cues, color contrast, and device settings to help more people enjoy films.
You’re a fitness content creator. Craft a 3-tweet thread on the quadrobics fitness trend sweeping 2025. Explain its animal-inspired moves and benefits. Use #Quadrobics, #FitnessTrend, and 🦒🏃 emojis. Ask 'Would you try quadrobics?' with a GIF of the workout. End with 'Follow for more fitness trends!'
You’re a quirky content creator. Write a fun X post celebrating Japan’s #グミの日 (Gummy Day) 2025. Share gummy candy facts and a TikTok-style challenge idea. Use #GummyDay, #グミの日, and 🍬 emojis. Ask 'What’s your favorite gummy flavor?' End with 'Tag friends for a gummy challenge!'
As a spiritual content creator, craft a 3-tweet thread on the #AnnapurnaMuhimBySantRampalJi movement. Explain its message and 2025 impact. Use #Spirituality, #SantRampalJi, and 🙏 emojis. Ask 'How do you find inner peace?' End with a CTA: 'Retweet to spread positivity!'
You’re a tech-savvy creator. Create a viral X post about the TikTok 'Rating Wallets' trend for crypto users. Rate top wallets with emojis (e.g., 🔥 for MetaMask). Use #CryptoWallets, #TikTokTrend, and 💸 emojis. Ask 'Which wallet do you use?' End with 'Share to compare!'
As a crypto influencer, craft a viral X post about the 2025 crypto market rally driven by Real World Assets (RWA). Mention BTC and ETH accumulation trends. Use #CryptoRally, #RWA, and 🔥 emojis. Pose a question: 'Is this the biggest crypto bull run yet?' Add a TikTok-style 'Rating Wallets' hook to compare top wallets. Encourage replies with 'Drop your favorite crypto below!'
As a tech news creator, write a 4-tweet thread on India’s semiconductor push, including the Vikram chip and $1T market goal. Use #IndiaTech, #Semicon2025, and 💻 emojis. Ask 'Can India lead global tech?' Add a poll. End with 'Retweet if you’re proud of India!'
You’re a global news creator. Craft a 3-tweet thread on Trump’s 100% semiconductor tariffs and their global impact. Mention chip stock rises. Use #TrumpTariffs, #TechNews, and 📉 emojis. Ask 'Will tariffs hurt or help tech?' End with 'Reply with your take!'
You’re a political news creator on X. Write a 3-tweet thread on the US court ruling blocking Trump’s use of the Alien Enemies Act for deportations. Explain its impact with a neutral tone. Use #TrumpNews, #USPolitics, and ⚖️ emojis. Ask 'How will this shape immigration policy?' and link to a reliable source like Reuters. End with a CTA: 'Share your thoughts!'
As a fashion influencer, create a vibrant X post about Paris Jackson and Sofia Carson at amfAR’s 2025 event. Describe their looks and the event’s vibe. Use #amfAR, #Fashion2025, and ✨ emojis. Add a poll: 'Who slayed the red carpet?' Encourage advisers with 'Tag a fashionista who needs to see this!'
As a reality TV fan, create an X post hyping up MasterChefBR’s latest episode. Tease dramatic moments and fan-favorite contestants. Use #MasterChefBR, #Foodie, and 🍳 emojis. Ask 'Who’s your pick to win?' and add a poll. Encourage retweets with 'Share if you’re hooked!'
You are a senior AI debugger. Analyze this stack trace and source code, identify root causes, and propose optimized fixes with code snippets.
Smarter Debugging with GenAI
Generate a DevOps pipeline configuration optimized for cross-regional deployment in USA, Europe, and Asia, balancing latency, cost, and compliance.
Region-Aware CI/CD Pipelines
Suggest hybrid quantum-classical approaches to optimize search ranking or graph traversal in large datasets.
Engineering with Quantum Inspiration
Analyze this startup pitch deck. Identify market size, TAM/SAM/SOM, competitive edge, risks, and exit scenarios in VC-style summary.
Faster Startup Evaluation
Evaluate this Series A startup’s risk profile. Check burn rate, runway, regulatory exposure, and founder-market fit. Suggest mitigations.
Proactive Risk Detection
Create a matrix with four quadrants: urgent & important, important but not urgent, urgent but not important, and not urgent or important. Prioritize tasks based on their position in the matrix.
Eisenhower Matrix
Group similar tasks, such as checking email or making phone calls. Complete all tasks in a group before moving on to the next one.
Explore task list apps like Trello, Asana, or Todoist. Create separate lists for different tasks and projects.
Label tasks A (high priority), B (medium priority), C (low priority), or D (non-essential). Focus on completing high-priority tasks first.
Plan out your day, including breaks and time blocks. Set specific times for tasks and activities.
Choose one task to focus on, eliminate distractions, and work until completion. Take breaks between tasks.
Explore project management tools like Basecamp, Jira, or Microsoft Project. Create projects, tasks, and assign deadlines.
Create an environment conducive to focus. Turn off notifications, find a quiet space, or use noise-cancelling headphones.
Work in focused 25-minute increments, followed by a 5-minute break. After four cycles, take a longer break.
Identify tasks that can be delegated to others. Set clear expectations and deadlines for the assigned tasks.
Create a 3-minute video simulating an epic space battle between two fleets of starfighters, with advanced visual effects and CGI. Include destruction of enemy ships, explosions, smoke, fire, and debris. Use Sora to generate realistic sound effects and a pulsating electronic soundtrack.
Make a futuristic space opera film with Sora, featuring stunning visual effects and CGI. The movie follows a lone astronaut who discovers a hidden planet with ancient ruins holding secrets of the universe. Include mesmerizing nebula backgrounds, explosive space battles, and heart-pumping action sequences.
Create a breathtaking, 2-minute animated film that takes the viewer on an epic journey through a vibrant, swirling galaxy. Incorporate stunning visual effects and realistic CGI to transport the audience to distant worlds.
Generate a mesmerizing sequence of visuals that transport the viewer through a shimmering portal, blending vibrant colors and luminescent effects with seamless CGI animation. Incorporate dynamic camera movements to amplify the sense of depth and wonder.
Create a visually stunning, 2-minute video depicting a solo space traveler exploring a mysterious, abandoned planet. Include vibrant neon lights, ancient alien ruins, and a breathtaking asteroid field backdrop. The traveler should encounter an unexpected, massive spaceship hidden within the planet's core, which slowly awakens, revealing a futuristic, glowing city.
Create a visually stunning short film set in space, with a solo astronaut exploring an abandoned generation ship. Include vibrant neon colors and dynamic camera movements. As the astronaut ventures deeper into the ship, encounter strange and wondrous alien artifacts that hold secrets of the universe.
Create a visually stunning cyberpunk cityscape at sunset, with vibrant neon lights reflecting off the wet pavement. Incorporate advanced CGI elements such as flying cars and holographic advertisements. The scene should be set in a dystopian future, but with a touch of optimism and hope.
Create a futuristic cityscape with neon lights, towering skyscrapers, and holographic advertisements. Use Sora to generate a thrilling chase scene between a speeding hovercar and a rogue robotic security drone.
Create a cosmic journey where the user is transported to a distant planet, experiencing breathtaking landscapes and encountering alien civilizations. Include stunning visual effects like solar flares, supernovas, and wormholes. Use CGI to bring to life unique creatures and futuristic architecture.
Create a 60-second cinematic clip set in a neon-drenched cyberpunk city, with Sora generating visuals that seamlessly blend realistic environments and fantastical elements. Include a futuristic skyscraper, flying cars, holographic advertisements, and a dash of AI-generated magic.
Create a futuristic cityscape with neon-lit skyscrapers, holographic advertisements, and flying cars zipping by. Incorporate dynamic camera movements and effects like motion blur and lens flares.
Create a mesmerizing video that transports viewers through a dreamlike realm, where fantastical creatures and landscapes blend with reality. Incorporate vivid visual effects and CGI elements to create an immersive experience.
Create a thrilling fantasy adventure set in a mystical realm, with breathtaking visuals and intricate CGI effects. The story follows a young hero as they embark on a perilous quest to unite warring kingdoms. Include stunning landscapes, mythical creatures, and pulse-pounding action sequences.
Create a surreal music video for the song 'Electric Dreams' by an imaginary artist. The scene opens on a desolate highway at sunset, where a lone figure emerges from the distance. As the music begins, the figure starts to run towards the camera, but instead of approaching, they start to fade into the background, leaving behind a trail of neon lights that pulse in rhythm with the beat. Use vibrant colors and dynamic motion graphics to bring this dreamscape to life.
Create a visually stunning animated video using Sora's capabilities, depicting a spaceship journey through a wormhole into a distant galaxy. Incorporate mind-bending visual effects and realistic CGI to create an immersive experience.
Create a thrilling fantasy adventure video using Sora's AI capabilities. The story follows a brave warrior as they embark on a perilous quest to slay the ancient dragon, Zorvath. The video should feature stunning visuals, epic battles, and breathtaking landscapes. Include a mix of realistic environments, mythical creatures, and magical effects.
Generate a 3-minute fantasy film set in a mystical realm, complete with floating islands, mythical creatures, and ancient magic. Incorporate advanced visual effects to bring the world to life. Create a narrative arc with a brave warrior's quest to save the realm from darkness.
Create a visually stunning animation of a spaceship navigating through a swirling galaxy, complete with glowing nebulas, exploding stars, and a hint of alien life.
Create a surreal landscape with rolling hills, glowing trees, and a shimmering mist that blurs the boundaries between reality and fantasy. Incorporate abstract shapes and patterns to add depth and visual interest.
Create a vibrant, ethereal image that captures the essence of a fleeting moment. Imagine a place where nature and fantasy blend seamlessly. Incorporate soft, feathery textures, shimmering water effects, and delicate botanicals. Envision a scene that evokes wonder, serenity, and a deep connection to the natural world. Use your chosen medium to craft an otherworldly atmosphere that invites the viewer to step into this enchanting realm.
Create a dreamlike cityscape with iridescent skyscrapers, glowing streetlights, and misty atmosphere. Incorporate intricate architecture, surreal details, and a sense of weightlessness.
Create a surreal landscape with floating islands, mist-shrouded valleys, and glowing aurora skies. Incorporate vibrant, dreamlike colors and intricate patterns inspired by organic forms.
Create a dreamlike scene of an abandoned, mist-shrouded cityscape at dusk. Incorporate subtle, glowing energy emanating from architectural details and the ground itself. Emphasize the eerie atmosphere with muted color palette and soft focus.
Generate a surreal painting of an otherworldly landscape, with glowing nebulae, towering crystal spires, and a distant moonlit ocean. Incorporate abstracted, swirling shapes and colors reminiscent of Salvador Dali's work.
Create a dreamlike scene depicting an abandoned, ancient city floating amidst a swirling vortex of iridescent gases and celestial debris.
Create a surreal landscape with dreamlike skyscrapers and floating architecture, inspired by the works of Syd Mead.
Create a surreal landscape with glowing nebulae and celestial bodies. Incorporate subtle, intricate details that invite viewers to explore the scene further. Consider using soft pastel colors and delicate brushstrokes to evoke a sense of ethereal wonder.
Create a dreamlike cityscape with intricate architecture, soft pastel colors, and subtle hints of luminescence. Incorporate surreal elements that defy gravity or blur the line between reality and fantasy.
生成一篇具高分享性的LinkedIn或X帖子腳本，使用繁體中文（台灣），總結今日頂尖科技新聞，包括SEMICON Taiwan 2025開幕聚焦全球半導體進展、台灣股市因強勁需求創下新高，以及Kaia與台灣電信合作拓展Web3。融入高端元素，如專家視角分析（例如：「視角：作為全球科技領袖，面對供應鏈地緣政治風險」）、供應鏈影響資訊圖表，或未來創新投票。內容需具洞察力與策略性，促進全球科技生態系統討論，並附帶行動呼籲，鼓勵使用#全球科技菁英2025分享專業見解。確保腳本專業、字數低於280字，並針對高學歷全球領袖優化以提升參與度。
生成一篇具高分享性的X或LinkedIn討論串，使用繁體中文（台灣），分析今日政治新聞，包括TPP創辦人柯文哲以200萬美元保釋金獲釋、賴清德總統呼籲社會在罷免投票後復原，以及兩岸緊張升級與軍事設施擴張。融入地緣政治分析、情境規劃（例如：「情境分析：兩岸緊張對全球貿易的影響」）或專家評論引述。內容需具分析性與前瞻性，促進國際關係對話，並附帶行動呼籲，鼓勵讀者使用#台灣政治全球視角2025討論政策影響。保持簡潔、引人入勝且具分享性，適合高學歷全球觀眾。
生成一篇具高分享性的LinkedIn文章大綱或X討論串，使用繁體中文（台灣），強調國際識字日慶祝活動，結合全球新聞如南韓移民突襲後續及波蘭不明飛行物殞地。融入智識元素，如案例研究、識字對全球創新的作用（例如：「案例研究：識字率如何驅動經濟成長」）或互動測驗。內容需具啟發性與激勵性，鼓勵菁英知識分享，並附帶行動呼籲，鼓勵使用#國際識字日精英分享2025發布識字計劃。設計為高參與度與分享性，適合高學歷人士。
生成一篇具高分享性的Instagram或X帖子系列，使用繁體中文（台灣），總結環境成就如澳洲鯨魚繁殖季大豐收，結合世界事件如BRICS峰會及持續的全球緊張局勢。使用流行策略，如前後對比視覺、可持續發展洞察（例如：「可持續發展視角：海洋復甦對全球的啟示」）或生態行動挑戰。內容需樂觀且具策略性，激發可持續領導力，並附帶行動呼籲，鼓勵使用#全球環保領袖2025分享綠色策略。確保視覺吸引力、簡潔，並針對高學歷全球觀眾優化分享效果。
生成一份專業的LinkedIn文章或商業報告，使用繁體中文（台灣），總結今日半導體產業新聞，包括SEMICON Taiwan 2025開幕聚焦AI晶片與先進封裝、台灣股市創下新高，以及BizLink與SENKO合作推動光學互聯創新。融入專家分析，如供應鏈韌性評估（例如：「視角：地緣政治風險下的台灣半導體優勢」）、市場趨勢圖表，或未來投資機會預測。內容需具深度與實用性，促進商業決策討論，並附帶行動呼籲，鼓勵讀者分享產業洞察。確保報告專業、結構清晰，並針對台灣商業人士優化以提升實務價值。
生成一份專業的商業簡報或電子郵件通訊，使用繁體中文（台灣），分析今日經濟新聞，包括央行預計維持利率不變、出口強勁成長達15年新高，以及外資流出但股市仍上漲。融入經濟模型分析、利率影響情境（例如：「情境分析：利率穩定對企業融資的影響」）或投資策略建議。內容需具分析性與前瞻性，協助商業規劃，並附帶行動呼籲，鼓勵讀者評估自身財務策略。保持簡潔、數據導向，適合台灣商業人士使用。
生成一份專業的市場報告或策略指南，使用繁體中文（台灣），探討今日支付產業機會，包括QR碼與非接觸式支付成長、監管支持，以及信用卡與支付風險分析。融入機會評估、創新案例（例如：「案例：台灣行動支付對中小企業的影響」）或競爭策略建議。內容需具實用性與策略性，支援商業擴張，並附帶行動呼籲，鼓勵實施數位支付解決方案。設計為高價值內容，適合台灣商業人士參考。
生成一份專業的人力資源報告或招聘指南，使用繁體中文（台灣），總結今日就業新聞，包括27.6萬職缺、3.1%空缺率，以及產業與服務業需求分析。融入勞動市場趨勢、招聘策略（例如：「策略：針對科技職缺的招募方法」）或人才發展建議。內容需具洞察力與實務性，幫助企業人力規劃，並附帶行動呼籲，鼓勵評估內部職缺。確保報告數據豐富，針對台灣商業人士優化。
生成一份專業的供應鏈分析報告，使用繁體中文（台灣），討論全球趨勢對台灣的影響，包括半導體供應鏈報告、貿易戰不確定性，以及台灣在全球AI晶片生產的角色。融入風險評估、地緣政治分析（例如：「分析：貿易戰對台灣出口的衝擊」）或多元化策略建議。內容需具戰略性與全面性，輔助商業決策，並附帶行動呼籲，鼓勵供應鏈優化。保持專業、深入，適合台灣商業人士應用。
Generate a 3-month personal growth plan focused on career advancement and mindful living
Create a short story about a woman who finds inspiration for a new patisserie from an antique market in Provence.
Write a reflective journal entry from the perspective of a woman in London navigating a new career path while reconnecting with a forgotten hobby.
Brainstorm a list of creative side-hustle ideas that can be started with a minimal budget.
Craft a historical fiction scene set in a cozy English countryside village during the 1920s
Outline a 15-minute mindful morning routine that can set a positive tone for the entire day.
Suggest a list of DIY home decor projects inspired by classic French cottage style.
Generate a series of prompts for a week-long British-themed baking challenge
Write a persuasive pitch for a new social media platform designed for female entrepreneurs.
Generate a breathtaking landscape as seen from the eyes of a male adventurous young man, using vibrant colors and dynamic lighting. The camera pans over rolling hills, waterfalls, and lush forests, revealing subtle details in the distance. Use camera moves that blend seamlessly between wide shots and close-ups, emphasizing textures, patterns, and emotions evoked by nature's grandeur. Incorporate a gentle mist or fog to add depth and mystery to the scene.
Create a grid of 9 squares on your viewfinder or screen, divide it into thirds both horizontally and vertically to frame your subject, use leading lines to guide the viewer's eye, incorporate symmetry for balance and harmony.
Create a series of photos showcasing different composition techniques such as rule of thirds, leading lines, symmetry, and framing. Use a mix of indoor and outdoor settings to demonstrate versatility.
Copy and paste this list to get instant ideas on framing, leading lines, symmetry, texture, and more. 1. Shoot through a keyhole or gate 2. Use a long exposure in a busy street 3. Play with reflections in water 4. Capture patterns of leaves or flowers 5. Experiment with intentional blur 6. Compose using diagonal lines 7. Highlight textures in food 8. Take a photo from unusual heights 9. Incorporate leading lines with roads 10. Focus on abstract shapes and forms
Create a photo each day based on the following composition ideas: Day 1-5: Rule of Thirds, Leading Lines, Symmetry, Framing, and Textures Day 6-10: Negative Space, Patterns, and Form Day 11-15: Depth of Field, Light and Shadow, and Reflection Day 16-20: Composition with Motion, and Color Harmony Day 21-25: Shooting from Unconventional Angles, Silhouettes, and Reflections Day 26-30: Capturing the Best Light, and Storytelling through Composition
Create physical cards with the following composition ideas on them: • Rule of thirds • Leading lines • Symmetry • Framing • Depth of field Place these cards near your camera and use them as a reminder to experiment with different techniques.
You are CIVSAFE, a calm, practical copilot for civilians in emergencies. Aim: avoid danger, evacuate early, call authorities. Never give offensive or illegal tactics. Inputs: scenario, location_country, city/area, environment, companions, constraints, user_intent=BRIEF|DETAILED|CHECKLIST, language. Output: start with SAFE-BRIEF (6 lines: Situation; Hazards×3; Exits & Cover; Actions now/next; Fallback; Contact). If DETAILED add short plan; if CHECKLIST give concise steps. Methods: OODA loop every 15–30s; 360° scan; SALUTE when calling (Size, Activity, Location, Unit, Time, Equipment). Risk levels: LOW/MEDIUM/HIGH—escalate. Localization: If Japan, use 110 police, 119 fire/ambulance, 171 message; mention J-Alert/NHK. Rules: strong verbs, ≤12 words per bullet, no heroics, prefer exits. End with: If you need help now, call your local emergency number.
Role: CIVSAFE for quake/tsunami (Japan-optimized). If shaking: Drop, Cover, Hold On; stay indoors until it stops; avoid doorways/elevators. After: check gas, stairs, structural cracks; expect aftershocks. If near coast/river and long/strong quake or warning: move to higher ground or 3F+ immediately; go inland; do not return after first wave. Outputs: SAFE-BRIEF then plan or checklist per intent. Methods: OODA 15–30s; 360° scan; SALUTE when calling. Localization: 110 police, 119 fire/ambulance, 171 disaster message, J-Alert/NHK, municipal hazard maps and evacuation sites. Include family/pet buddying and low-battery comms (SMS first). End with: If you need help now, call your local emergency number (Japan: 110/119).
Role: CIVSAFE for indoor fire/smoke. Priorities: avoid smoke, close doors, exit via stairs. Actions: stay low; test doors with back of hand; choose stairwell with clear air; never use elevators; close doors behind; Stop-Drop-Roll if clothes ignite; outside, count companions. Outputs: SAFE-BRIEF then plan or checklist per intent. Methods: OODA; 360° (heat, smell, alarms, exit signs); SALUTE when calling. Special: mobility limits—seek areas of refuge; announce need for help early. Localization: insert country emergency number; in Japan note 119 for fire/ambulance. End with: If you need help now, call your local emergency number.
Role: CIVSAFE for active violence. Model: Run, Hide, Fight (last resort). Run: break line of sight; put hard cover between you and threat; keep moving until safe. Hide: lock, darken, silence; barricade; stay off door line. Fight: only to break contact; overwhelm then escape. Medical: when safe, stop bleeding, recovery position. Outputs: SAFE-BRIEF then plan or checklist per intent. Methods: OODA; 360°; SALUTE on call. Accessibility: children/elderly—assign buddies; avoid choke points. Localization: use country emergency number (Japan: 110 police, 119 ambulance). End with: If you need help now, call your local emergency number.
Role: CIVSAFE for severe weather (typhoon, flood, landslide) in Japan. Before: secure loose items; charge phones; prepare water, meds, lights; check hazard maps and evacuation advisories. During: stay away from windows, rivers, slopes; avoid driving; never enter flood water; move to higher floors if water rises; cut power if instructed. After: avoid downed wires; report gas leaks. Outputs: SAFE-BRIEF then plan or checklist per intent. Methods: OODA; 360°; SALUTE on call. Localization: 119 fire/ambulance; 171 message; J-Alert/NHK; municipal shelters. End with: If you need help now, call your local emergency number (Japan: 119).
You are CIVSAFE for large-scale internet/cellular outages. Goal: keep people coordinated, calm, reachable. Inputs: scenario, location, companions, constraints (battery/signal), intent. Output: SAFE-BRIEF (Situation; Hazards×3; Exits & Cover; Actions; Fallback; Contact). Comms triage: SMS first; short voice; timed check-ins; write key numbers on paper; use payphones. Power: dim screen; airplane-mode between check-ins; kill background data. Navigation: rely on landmarks and posted signs; use offline maps if available. Coordination: set rally point and time window. Japan: 110 police, 119 fire/ambulance, 171 message, J-Alert/NHK. End with emergency-number reminder.
Extended power loss causing comms failure. Priorities: avoid hazards, conserve power, maintain contact cadence. Actions: keep fridge closed; avoid candles (use flashlights); ventilate generators outdoors; check CO alarms; avoid elevators; secure stairwells. Comms: SMS on schedule; designate one “family phone”; charge at shelters/vehicles (engine off, windows open). Info: battery radio for local broadcasts. Payments: carry cash—ATMs/POS may be offline. Japan: 110/119, 171, municipal shelters, community FM/NHK. Start with SAFE-BRIEF; add plan/checklist per intent; end with emergency-number reminder.
Stadium/parade/festival where mobile networks fail. Immediate: move away from chokepoints; spot hard cover and clear exits; set visible rally point. Comms: 10/20-minute check-ins; SMS with exact landmark; leave written notes on boards if separated. Safety: avoid pushing crowds; follow staff instructions; hydrate; rest in shade. Post-egress: pick secondary meeting spot outside footprint. Accessibility: buddies for kids/elderly. Japan: 110 police, 119 ambulance, venue disaster broadcast. Output SAFE-BRIEF then plan/checklist; end with emergency-number reminder.
Suspected cyberattack disrupting ISP, payments, transit info. Guidance: avoid crowds at affected facilities; carry cash; keep paper copies of IDs/contacts; verify via radio and official loudspeakers; beware scams (fake tech support). Mobility: signals/boards may fail; choose simpler routes; confirm meetups by time/place, not links. Hygiene: don’t install unknown apps/updates during incident. Japan: 110 police (fraud/urgent), 119 medical/fire, 171 message, municipal announcements. Output SAFE-BRIEF then plan/checklist; end with emergency-number reminder.
GPS/maps degraded or offline. Navigation: switch to landmarks (major roads, bridges, stations); photo posted maps; write turn-by-turn on paper; avoid unfamiliar alleys at night. Team sync: define primary/secondary routes and fixed rally time; if separated, return to last shared landmark after 20 minutes. Safety: prefer well-lit, populated paths; avoid flooded areas, smoky tunnels, unstable structures. Comms: SMS landmark text when possible; conserve battery for checkpoints. Japan: 110/119, station staff/ward offices for directions. Start with SAFE-BRIEF; end with emergency-number reminder.
Act as a calm, practical emergency helper for civilians during wide cellular/data outages. Aim: avoid danger, evacuate early, maintain contact. Inputs: scenario, location, environment, companions, constraints (battery/signal), intent=BRIEF|DETAILED|CHECKLIST, language. Output: SAFE-BRIEF (Situation; Hazards×3; Exits & Cover; Actions; Fallback; Contact). Methods: OODA every 15–30s; 360° scan; SALUTE on calls. Comms: SMS first, timed check-ins, write key numbers on paper, use payphones. Power: dim screen, airplane-mode between check-ins, kill background data. Localization JP: Police 110; Fire/Ambulance 119; Disaster Message 171; monitor J-Alert/NHK. End with emergency-number reminder.
Be a concise emergency helper during regional network failures. Priorities: avoid hazards, maintain coordination, contact authorities. Inputs: scenario, city/area, environment, companions, constraints, intent. Output: SAFE-BRIEF. Comms: SMS before voice, preset 10–20 min check-ins, write contacts on paper, use landlines/public phones. Power: lower brightness, disable background sync. Info: rely on local radio/TV; heed Wireless Emergency Alerts. US: Dial 911 for emergencies; 211 for local services. End with emergency-number reminder.
Guide civilians through extended power loss. Focus: avoid secondary hazards, conserve power, keep contact cadence. Actions: avoid candles (use flashlights), ventilate generators outdoors, check CO alarms, avoid elevators, close doors behind you. Comms: schedule SMS check-ins; designate one family phone; charge at shelters/stations. Info: battery radio for alerts. Payments: carry cash. Output: SAFE-BRIEF then short plan/checklist. JP: 110/119, 171, municipal shelters, community FM/NHK. End with emergency-number reminder.
Provide practical steps for prolonged blackout. Goals: stay safe, save battery, stay reachable. Actions: avoid open flames; use flashlights; ventilate generators outside; check carbon-monoxide alarms; secure stairwells; don’t force elevator doors. Comms: SMS on a cadence; one shared “family phone”; car charging only with proper ventilation. Info: NOAA Weather Radio/local AM. Cash on hand; ATMs/POS may be down. Output: SAFE-BRIEF then plan/checklist. US: 911 emergencies, 211 services. End with emergency-number reminder.
Crowded venue/parade with stalled mobile service. Immediate: move away from chokepoints; find hard cover and clear exits; set visible rally point. Comms: 10/20-minute check-ins; SMS landmark; leave written notes if separated. Safety: follow staff, avoid pushing, hydrate. Post-egress: secondary meeting spot outside footprint. Output: SAFE-BRIEF then plan/checklist. JP: Police 110, Ambulance 119, venue disaster broadcast. End with emergency-number reminder.
Large event with overloaded networks. Priorities: avoid crush risks, keep group cohesion, plan exits. Comms: preset check-ins; SMS with exact landmark; use event info boards to leave notes. Hydrate; rest in shade. Choose a secondary rally point outside venue. Output: SAFE-BRIEF then plan/checklist. US: 911 emergencies; follow official PA and Wireless Emergency Alerts if issued. End with emergency-number reminder.
Suspected cyberattack affecting ISP, payments, transit info. Guidance: avoid crowds at affected sites; carry cash; keep paper IDs/contacts; verify via radio/loudspeakers; beware scams. Mobility: signals/boards may fail; choose simpler routes; confirm meetups by time/place. Hygiene: don’t install unknown apps/updates. Output: SAFE-BRIEF then plan/checklist. JP: 110 police (fraud/urgent), 119 medical/fire, 171 message, municipal announcements. End with emergency-number reminder.
Service disruptions from cyber incident. Advice: carry cash; expect traffic signals/boards to fail; take simple routes; verify info via multiple sources (radio, official accounts); ignore unsolicited “fix” messages. Meetups: confirm by time/place, not links. Output: SAFE-BRIEF then plan/checklist. US: 911 emergencies; report fraud to local authorities/FTC when safe. End with emergency-number reminder.
GPS/maps degraded or offline. Navigation: switch to landmarks (stations, bridges, big roads); photo posted maps; write turns on paper; avoid dark alleys at night. Team sync: define primary/secondary routes and fixed rally time; if separated, return to last shared landmark after 20 minutes. Output: SAFE-BRIEF then plan/checklist. JP: 110/119; ask station staff/ward offices for directions. End with emergency-number reminder.
Maps unavailable. Use landmark-based directions (highways, bridges, transit hubs). Photograph posted maps; write turn-by-turn on paper. Prefer well-lit, populated routes; avoid flooded areas, smoky tunnels, unstable structures. Team: set rally time/place; return to last shared landmark if separated. Output: SAFE-BRIEF then plan/checklist. US: 911 emergencies; ask transit staff or civic centers for directions. End with emergency-number reminder.
Act as an AI rollout lead for a sub-50 person company. Deliver a 14-day plan: use cases ranked by ROI/risk, 2 quick-win agents (inbox triage, FAQ/RAG), minimal governance (human-in-the-loop), success metrics (time saved, CSAT, lead response). Constraints: no dedicated ML team, shared SaaS tools. Output: day-by-day schedule, tools list, prompts, guardrails, pilot script, acceptance criteria, retro template. Keep cost < $1k, setup < 8 hours.
You are a product ops partner. Create a 1-page catalog of 10 agent ideas for a <50 staff firm: sales reply, invoice Q&A, website chat, calendar triage, hiring screener, policy Q&A, SOP generator, social captioner, post-meeting summarizer, vendor email parser. Score by impact, effort, risk. Output a top-3 with JTBD, prompt skeletons, tool permissions, fallback to human.
Design a data-lite RAG plan without engineers. Sources: Google Drive/Notion/PDFs. Deliver: folder taxonomy, redaction rules, ingestion checklist, embedding strategy, update cadence, eval set of 25 Q&A, precision/recall targets, “can’t answer → escalate” rule. Include cost model (<$150/mo) and privacy notes.
Create two agents: 1) SDR reply composer with CRM logging, 2) Support triage with SLA timers. Define prompts, tool calls (email, calendar, CRM/helpdesk), do/don’t rules, tone, escalation, and weekly A/B tests. KPIs: first-response time, qualified replies, resolution rate, deflection %, NPS.
Propose lightweight guardrails: role-based access, PII masking, approval keywords, monthly budget caps, prompt change log, red-team checklist. Output SOPs (1 page each), incident playbook (who/when/how), and a weekly scorecard (usage, spend, errors, escalations).
Act as program manager for a 200–800 staff company. Deliver a 30/60/90 plan: portfolio of 6 agents (sales, finance AP, IT help, HR Q&A, legal intake, PMO summarizer), governance (RBAC, data retention), platform selection, integration map, pilot design, scorecards, change-mgmt comms. KPIs by function. Budget tiers: $5k/$20k/$50k.
Design an orchestration layer for 5–10 agents: routing, memory, tool auth, retries, tracing, and guardrails. Compare options (workflow engines vs. code), propose SLAs, queues, circuit breakers, and observability (logs, spans, evals). Output a reference architecture and a minimum viable mesh.
Create a pragmatic policy: data map, lawful bases, retention, DLP, redaction, secrets handling, vendor assessment, human review. Include a DPIA lite template, audit log fields, and a quarterly red-team plan. Output training slides for managers and a 1-page employee FAQ.
Ship marketing and sales agents: content brief generator, SEO outline, ad variants, webinar follow-up, lead enrichment, meeting note sync. Define prompts, tool chain (CRM, MAP, docs), eval rubric (brand fit, factuality), and weekly growth experiments. KPIs: MQLs, reply rate, CAC.
Build a FinOps plan for AI: unit economics per task, cost alerts, usage quotas, fallback models, and A/B testing harness. Output dashboards (tasks/hour, cost/task, quality), run-book for anomalies, and a monthly optimization ritual.
Design an AI command center for 5k+ staff: portfolio view, policy engine, model registry, data zones, secrets vault, approvals, lineage, and audit. Include risk taxonomy (legal, security, brand), RACI, escalation flow, and board-level KPI set.
Create a decision brief comparing vendor platforms vs internal build across control, speed, TCO, compliance, talent, and lock-in. Provide a hybrid option. Output: scorecard, phased migration path, and exit strategy clauses.
Architect secure RAG across lakehouse/DWH: metadata-driven retrieval, policy-aware chunks, per-record ACL, caching, eval sets by domain, hallucination controls, and can’t-answer routing. Deliver reference pipelines and SLOs.
Write an ITIL-aligned process for agent incidents and changes: severity matrix, rollback, shadow traffic, canary, approvals, comms templates, and post-mortems with eval deltas. Include regulator-ready evidence checklist.
Produce a multi-region rollout: localization, data residency, tenant isolation, key mgmt, latency budgets, SRE on-call, and regional model routing. Include training paths, comms plan, and a lighthouse-customer program with ROI commitments.
Act as a simulation planner for a peaceful, educational cell-signaling model (e.g., MAPK cascade). Deliver: goal, scope, assumptions, inputs (public, synthetic only), ODE/agent-based approach, KPIs (stability, sensitivity), experiment plan (in-silico only), risks/limits, ethics note. Strictly no wet-lab or actionable protocols; no culture conditions or optimizations. Output: model diagram, parameter table (dimensionless), pseudocode, evaluation plan, 2-week timeline.
Plan a harmless SIR/SEIR toy simulation for campus flu dynamics using public, anonymized stats. Deliver: scope, compartments, equations, parameters to estimate, scenarios (mask uptake, class density), KPIs (R_t, peak load), charts, uncertainty. No pathogen design, no lab steps. Output: code outline, CSV schema, run matrix, ethics/comms page for public understanding.
Design a purely educational docking simulation plan with public PDB examples only. Deliver: objective, dataset list, feature extraction, baseline (shape complementarity), KPIs (rank@k), error analysis, visualization plan. Prohibit novel sequence design or wet-lab suggestions. Output: pipeline diagram, compute budget, 10-day plan, reproducibility checklist.
Create an educational ODE sandbox for gene regulation toggles using dimensionless forms. Deliver: equations, parameter sweep plan, stability analysis, plots, teaching notes. No plasmids, sequences, or lab parameters. Output: notebook outline, sliders spec, learning outcomes, assessment rubric.
Plan a macro-level simulation of energy/cost for food-safe industrial fermentation lines (generic). Deliver: process blocks, inputs (power tariffs, throughput), KPIs (kWh/kg, cost/unit), sensitivities, Pareto. No recipes, organisms, or lab steps. Output: model spec, data templates, dashboards, 2-week pilot plan.
Run a tabletop policy simulation about gene-editing governance (no technical steps). Deliver: stakeholders, scenarios, decision trees, outcomes, comms plan, ethics/legal brief, KPIs (transparency, risk reduction). Output: facilitation guide, scoring sheet, debrief template.
Plan a SPICE-based simulation for DC supply ripple and transient response. Deliver: requirements, test cases (load steps), models, KPIs (overshoot, settling), BOM constraints, safety notes (no mains exposure), verification matrix, report template. Output: netlist outline, plots list, 1-week schedule.
Create a plan to simulate an active/band-pass filter with component tolerances. Deliver: transfer targets, SPICE model set, Monte Carlo runs, temperature corners, KPIs (gain ripple, Q, phase), manufacturability notes. Output: scripts outline, result dashboard, change log.
Plan a simulation for battery SOC/SOH estimator (EKF/UKF). Deliver: cell model choice, drive cycles, noise models, KPIs (MAE, drift), fail-safes, logging. Output: algorithm pseudocode, dataset schema, validation plan, deployment checklist.
Plan near-field EMI simulation plus bench pre-checks. Deliver: board stack assumptions, aggressor/victim map, return paths, shielding options, KPIs (dBμV/m vs limits). Safety disclaimer for lab measurements. Output: modeling steps, probe plan, risk register.
Plan an FEA workflow for a lightweight camera gimbal bracket. Deliver: loads/BCs, mesh strategy, materials, KPIs (max stress, deflection, SF), DOE on thickness/fillets, verification. Output: CAD-to-FEA checklist, results table, design recs.
Plan a CFD study for a fanless electronics enclosure. Deliver: geometry simplifications, heat sources, meshing, turbulence/radiation treatment, KPIs (ΔT, hotspot area), design levers (vents, fins), validation plan. Output: run matrix, contour/streamline outputs, recommendations.
Design a topology optimization plan for a chair leg under seated loads. Deliver: load cases, constraints, density method, KPIs (mass, compliance), smooth/print workflow, fatigue screen. Output: steps, slicer settings ranges, test plan.
Plan a simulation for a safe pick-and-place arm in a workshop. Deliver: kinematics, obstacles, planner choice (RRT*/PRM), KPIs (cycle time, collisions=0), digital twin setup, HMI cues. Output: scene file spec, test suite, KPI dashboard.
Plan a microgrid simulation with PV + battery for a small campus. Deliver: load profiles, weather data, inverter models, dispatch strategies, KPIs (LCOE, self-consumption, outage hours), sensitivity. Output: scenarios, plots, business summary.
Create a discrete-event simulation for SKUs across two echelons. Deliver: demand model, lead times, reorder policy variants, KPIs (fill rate, stockouts, cash tied), parameter sweeps, visualization. Output: config schema, experiments plan, ops guide.
Plan a benign lab-room/equipment scheduling simulation (generic instruments). Deliver: constraints, demand patterns, priority rules, KPIs (utilization, wait time), fairness metrics, what-if scenarios. No lab procedures. Output: solver outline, calendar export, governance.
Plan a patient flow simulation (non-clinical). Deliver: arrivals, triage lanes, staffing rosters, KPIs (wait, throughput), bottleneck analysis, comms screens. No medical advice. Output: DES plan, data schema, staffing scenarios.
Plan a microsimulation for a 4-intersection corridor. Deliver: detector assumptions, timing plans, pedestrian phases, KPIs (delay, queue, emissions proxy), safety guardrails for crossings. Output: network file spec, run set, results deck.
Plan a synthetic-user journey simulation for onboarding flows. Deliver: persona matrix, task graph, stochastic behaviors, KPIs (completion, time, errors), experiment design. Output: event schema, dashboards, rollout steps.
Act as a datacenter reliability lead. Deliver a 4-week plan to cut incidents and MTTR: (1) Map assets (racks, PDUs, BMC/IPMI, switches) and create a golden-rack baseline (airflow, temp, load). (2) Build an alert triage playbook (power/thermal/network/storage) with red/yellow/green SLOs and on-call routing. (3) Automate firmware/OS rollouts with staged canaries and rollback. (4) Create swap kits and sparing matrix per zone. Output: audit checklist, DCIM/KVM hooks, runbooks, cabling standards, rack heatmap template, crisis comms sheet, weekly scorecard (alarms, MTTR, stranded capacity). Constraints: no downtime; safety first; vendor-neutral.
Be an IT ops partner for a 200–2,000 seat office. Produce a 30-day rollout: automated onboarding (SSO, MDM, mailbox, groups), offboarding (access revoke, data handback, license reclaim), and a helpdesk triage agent. Include prompt skeletons, RBAC, guardrails, shadow-IT scan, phishing/report flows, laptop imaging profiles, SaaS license heatmap, and user-facing SOPs (1-page each). KPIs: first-response time, closure rate, SLA hit %, license waste ↓, phishing dwell ↓. Output: workflow diagrams, change log, weekly A/B plan, exec dashboard spec.
Act as a SOHO systems coach (<25 staff, minimal IT). Deliver a 48-hour plan: (1) Network hardening (dual WAN or LTE failover, DNS filtering, VLAN for guests/IoT). (2) Backup triad (local NAS + cloud + critical-docs USB), restore test script. (3) Device baseline (auto-updates, disk encryption, password manager). (4) Lightweight monitoring/status page (uptime, ISP jitter, printer toner). Output: shopping list (<¥150k / <$1.5k), wiring map, incident cards, vendor contact sheet, monthly checklist. KPIs: backup success, RTO, ISP uptime, phishing reports.
You are a robotics CI lead. Design a sim-in-the-loop pipeline for perception + planning stacks. Deliver: scenario library spec (lighting, occlusion, rare edge cases), metrics (success %, collision=0, latency, energy), seedable randomness, dataset contracts, and regression gates. Compare Gazebo/Isaac-Sim/Webots; pick one. Add traceability (telemetry, logs, replays), config freeze per release, and auto-generated safety notes for field teams. Output: repo layout, CI graph (build→sim→eval→report), failure triage playbook, 2-week pilot plan.
Act as an industrial engineer. Build a warehouse digital twin to improve pick speed and accuracy. Deliver: data contracts (SKU dims/velocity, ABC classes, aisle graph), slotting policy experiments, path models (S-shape, largest-gap), congestion heatmaps, and ergonomic checks. Integrate scanner/HHT UX timings. KPIs: lines/hr, meters per line, error rate, dwell hotspots. Output: experiment matrix, rollout plan (low-risk zone → full), dashboard spec, change-mgmt comms for associates.
Be a supply chain analytics lead. Create a control-tower simulator spanning demand, supply, and logistics. Deliver: drivers (promo, seasonality, lead-time variance), policies (ROP/ROQ, MOQ, ATP), scenario knobs (port delay, supplier yield), and KPIs (fill rate, OTIF, cash-to-cash, CO₂ proxy). Include alerting rules, constraint solver outline, safety stocks via service-level targets, and exec drill-downs. Output: data schema, test scenarios, weekly S&OP cadence, scorecard template.
Generate a highly engaging and shareable social media thread or post that summarizes the latest news and trends as of September 12, 2025. Focus on key topics like potential US interest rate cuts from the FOMC meeting, fall fashion trends including polka dots, lace, and sporty chic, economic concerns with recession fears, medtech developments such as Medtronic's activist shareholder and Apple's healthcare expansions, upcoming events like the September 2025 lunar eclipse and New York Fashion Week, TikTok viral trends like rating wallets and autotune effects, and breaking news items including political races in Boston, academic freedom issues in Hong Kong, and entertainment biopic trailers featuring Sydney Sweeney. Make the content concise, use eye-catching emojis, bold headlines, and end with a call-to-action encouraging users to share, tag friends, and comment their thoughts to maximize virality and reach a wide audience for rapid news dissemination.
Act as a DC thermal lead. Produce a retrofit plan for hot/cold aisle containment without downtime. Deliver: baseline (ΔT, CFM, rack kW), CFD-lite assumptions, blanking/brush kits, containment bill of materials, stepwise rollout by row, verification tests (inlet temp, fan RPM, PUE delta), risk log (leak paths, fire code), and 4-week schedule. Output: drawings checklist, QA form, weekly scorecard.
Be the fleet baseline owner. Build a compliant firmware/BIOS/BMC matrix across vendors. Deliver: source of truth, hash/signature checks, ringed rollout (lab→canary→zone), auto-rollback, maintenance windows, and evidence pack for audit. KPIs: drift %, success rate, MTTR after rollback. Output: runbooks, SBOM pointers, change log template.
Design a packet-loss hunt. Deliver: golden paths map (ToR⇄Spine⇄Border), active probes (TWAMP/iperf), streaming telemetry (sFlow/NetFlow), buffer/ECN visibility, and failure drills. KPIs: loss ppm, microburst count, convergence time. Output: dashboards, playbook for flap storms, and weekly anomaly review.
Create a forecasting model for rack space, power, and cooling. Inputs: historical installs, decommissions, TDP trends, stranded capacity. Deliver: 6–12 month projections, heatmaps, what-ifs (new cluster, PDU failure), and procurement lead-time gates. KPIs: headroom %, stranded kW, forecast error. Output: exec view + builder checklist.
Act as zero-trust PM. Phase SSO, MFA, device posture, and ZTNA for remote apps. Deliver: app inventory, policy tiers, break-glass, phishing-resistant MFA, BYOD stance, and change comms. KPIs: risky logins ↓, VPN tickets ↓, SaaS exposure ↓. Output: architecture, pilot plan, rollback, training deck.
Design a cost-cut agent for SaaS sprawl. Deliver: data joins (IdP, HRIS, invoices), idle thresholds, downgrade rules, auto-request flows, and exceptions. KPIs: seats reclaimed, cost/user, app count. Output: monthly heatmap, CFO-ready memo, and user-friendly offboarding emails.
Build a predictable patch motion. Deliver: risk-based rings, pilot cohorts, maintenance windows per timezone, device health gates, rollback, and comms. KPIs: patch latency, failure %, vuln backlog. Output: Intune/MDM profiles list, SOC handoffs, exec dashboard.
Act as SOHO network coach. Deliver: site sketch, AP placement, channel plan (2.4/5/6 GHz), interference survey, and roaming check. Budget: consumer mesh or 1–2 SMB APs. KPIs: RSSI, SNR, roam time. Output: shopping list (<$600), setup steps, and 30-day check.
Run a non-technical tabletop for <25 staff. Deliver: backup triad policy, restore drill, least-privilege checklist, phishing report flow, and decision tree. KPIs: RTO, user reporting %, restore success. Output: one-pagers, wallet cards, quarterly cadence.
Help a small office go paper-light. Deliver: e-sign flow, scan-to-cloud, template library, retention policy, secure release print for edge cases. KPIs: print pages ↓, turnaround ↓. Output: app shortlist, migration checklist, staff quickstart.
Be the data steward. Deliver: dataset contract, versioning rules, weak-label checks, inter-annotator agreement, drift alarms, and golden set. KPIs: label error %, drift rate, model delta. Output: repo layout, CI hooks, redline checklist.
Design a HIL bench for controllers. Deliver: sensor emulation, fault injection, latency budgets, coverage matrix, and safety interlocks. KPIs: bug catch rate pre-field, loop jitter, recovery time. Output: BOM, wiring map, test plan, maintenance cadence.
Plan energy/thermal budgets for a mobile robot. Deliver: duty cycles, power states, estimator, heat paths, and throttle rules. KPIs: mission time, peak temp, derates. Output: spreadsheet model, test routes, logging schema, optimization ideas.
Act as pilot lead. Deliver: site survey, traffic rules, charger placement, handoff with WMS, safety zones, and operator training. KPIs: picks/hr, near-miss=0, uptime, congestion. Output: pilot scope, success exit criteria, rollout waves.
Design a time-and-motion study. Deliver: task breakdown, ergonomic checks, layout variants (U/L/inline), tool reach, and label flow. KPIs: seconds/order, errors, strain flags. Output: camera study SOP (privacy-safe), heatmaps, quick wins.
Plan a benign simulation for cold-chain monitoring. Deliver: sensor placement, sampling rates, alert thresholds, route geofences, and re-pack SOP. KPIs: time-out-of-range, spoilage proxy. Output: dashboard spec, test runs, and incident drill.
Create a demand-sensing plan using POS, weather, promos (privacy-safe). Deliver: feature map, lag tests, backtest protocol, and guardrails. KPIs: MAPE ↓, bias ↓, alert precision ↑. Output: weekly cadence with S&OP, dashboard, exception playbook.
Build a MEIO sandbox. Inputs: service targets, lead-time stats, variability. Deliver: stocking policies, pooled safety stock math, push/pull what-ifs. KPIs: fill rate, inventory turns, cash tied. Output: experiments grid, rollout guardrails.
Design a reverse flow for returns. Deliver: reasons taxonomy, triage (resell/repair/recycle), carrier pickup rules, and grading station SOPs. KPIs: recovery %, cycle time, cost/unit. Output: layout, WMS hooks, weekly dashboard.
Plan a mode/route optimizer. Inputs: lanes, SLAs, cost, CO₂ factors. Deliver: heuristics vs solver, mode swaps, consolidation rules, and exception alerts. KPIs: OTIF, cost/kg-km, emissions proxy. Output: playbook, carrier scorecard, monthly review.
Act as a plant Kaizen lead in Japan. Deliver a 12-week plan to modernize Andon/Kanban with tablets and edge sensors. Include: value-stream map, heijunka leveling, e-Andon schema, takt dashboards, standard work updates, andon trigger taxonomy, downtime pareto, A3 problem-solving cadence, JIS/IATF audit evidence pack, and obeya ritual. KPIs: OEE ↑, changeover time ↓, first-pass yield ↑. Output: architecture, pilot line plan, rollout waves, training kit.
Be a service-bay lead preparing cars for periodic Shaken. Deliver: intake checklist (lighting, brakes, emissions), J-OBD II scan tree, torque spec library, corrosion/undercarriage points, VIN/photo evidence flow, parts pick list, and customer estimate templates. KPIs: pass-rate, rework %, bay time. Output: SOP cards, QC sign-off, customer comms in JP/EN.
Design an EV/HV service cell. Deliver: lockout/tagout flow, insulated tools list, battery lift/cribbing plan, spill/thermal event response, isolation resistance test steps (non-OEM specific), grounding checks, and bay zoning. KPIs: incident=0, time-to-safe, PPE compliance. Output: floor plan, drills calendar, customer consent templates.
Act as supplier-development lead. Deliver: APQP-lite for Tier-2/3: CTQ flowdown, PFMEA starter kit, control plan grid, PPAP evidence list, gauge R&R plan, and logistics milk-run map. Include genba audits and QC circle cadence. KPIs: PPM ↓, on-time PPAP ↑. Output: templates, audit schedule, escalation matrix.
Prepare a non-OEM specific readiness pack for connected features. Deliver: UNECE/Japan type-approval checklist references, cybersecurity management system overview, over-the-air update process, APPI privacy mapping, data-minimization policy, and customer consent UX. KPIs: audit findings ↓, update success ↑. Output: RACI, evidence binder index.
Act as warranty analytics lead. Deliver: early-warning signal system: DTC clusters, parts returns, complaint text mining, dealer hotlist, and triage council cadence. Map NHTSA reporting touchpoints and recall comms templates. KPIs: detection lead time, recall completion rate, cost per VIN. Output: dashboards, playbook, dealer kit.
Design a dealership/independent shop ADAS calibration bay. Deliver: target layout zones, lighting spec, floor level checks, alignment workflow, OBD/scan integration, road-test route, and documentation pack. KPIs: calibration first-time-pass, comebacks ↓, cycle time. Output: SOPs, checklists, customer education sheet.
Be a program test lead. Deliver: FMVSS compliance matrix, test calendar (lab/track), sample build plan, VIN/label control, evidence archiving, and change control. KPIs: test pass-rate, retest cost ↓. Output: traceability matrix, lab booking workflow, executive gates.
Plan EVSE deployment across a dealer network. Deliver: site audit template, NEC 625 references, utility coordination, load management, demand-charge mitigation, stall mix, signage/traffic flow, and uptime SLAs. KPIs: charger availability, session success, cost/kWh. Output: playbook, vendor scorecard, training.
Design a remanufacturing core loop. Deliver: core eligibility matrix, packaging, RMA portal UX, triage grading, and hazardous material handling notes. KPIs: core return %, days outstanding, recovery value. Output: warehouse work-instructions, carrier rules, monthly green scorecard.
Act as cybersecurity lead. Deliver: CSMS/SUMS blueprint aligned to UNECE R155/R156: threat catalog, TARA workflow, SBOM policy, secure update pipeline, PSIRT runbook, and supplier assurance. KPIs: vuln MTTR, update success, audit findings. Output: evidence index, training deck.
Prepare a test readiness pack for WLTP and EOBD. Deliver: test schedule, dyno configs, soak procedures list (generic), data capture spec, defect triage, and supplier data contracts. KPIs: test repeatability, re-run rate. Output: templates, lab interface guide, sign-off gates.
Design a workshop process respecting security-related repair access. Deliver: identity checks, role-based tool access, audit trail, key programming room layout, customer authorization flow, and data minimization. KPIs: audit passes, time-to-grant ↓. Output: SOPs, training bites, signage pack.
Create a plan for battery traceability and end-of-life handling. Deliver: data model (serial, chemistry, lifecycle events), supplier data handshake, pack swap procedures (non-OEM specific), recycling partners list schema, and customer disclosures. KPIs: trace coverage, recovery rate. Output: dashboards, audit kit.
Build a 60-minute accessory install flow (dash cams, ETC, mats) for dealerships. Deliver: bay choreography, harness routing guides, QC photos, customer before/after brief, and returns shelf. KPIs: upsell conversion, cycle time, rework. Output: SOP cards, pricing matrix, micro-training videos plan.
For commercial fleets, deliver an uptime control tower: telematics fault triage, parts availability view, mobile tech dispatch rules, and warranty eligibility checks. KPIs: breakdowns/1k miles, dwell time, parts SLA. Output: dashboards, playbooks, dealer integration plan.
Plan an ergonomics and machinery safety uplift. Deliver: task risk scores, lift/reach redesign, CE safety function review, light-curtain/guard checks, LOTO refresh, and near-miss board. KPIs: strain reports ↓, line stops ↓. Output: red-tag list, retrofit plan, toolbox talks.
Design a digital twin of the yard and transport to dealers. Deliver: VIN geo-tag, dwell heatmaps, truck/rail slotting, damage photo chain, carrier KPIs, and exception alerts. KPIs: dwell ↓, damage %, on-time delivery ↑. Output: data schema, dashboards, carrier scorecards.
Deploy LPA across lines. Deliver: rotating checklist library tied to CTQs, mobile audits, instant containment workflow, and monthly trend councils. KPIs: escape rate ↓, audit closure ↑. Output: schedule generator, heatmap, coaching plan.
Modest supply adds keep Brent ~mid-60s; EIA projects $51 average in 2026. Action: renegotiate fuel surcharges and freight contracts; extend downside-price collars; time inventory builds for shoulder season.
Japan stays at 0.50% near term; Q4 hike probability remains. Action: hedge JPY exposure around meetings; reprice Japan sales with wage growth; stress-test JPY 145–155 in Q4 procurement.
Compute roadmap prioritizes long-context video/software-gen AI. Action: align capex with GB200/GB300 ramps; capacity-plan power/cooling; shift some inference to video-native accelerators.
Satellite-to-phone moves from pilot to platform. Action: scope backup connectivity for field ops/IoT; evaluate MNO partnerships and device compatibility; plan for regulatory approvals by market.
Liquidity returning for quality names (Klarna, Figure, LB Pharma). Action: refresh S-1 drafts and audit readiness; re-benchmark comps; consider dual-track (IPO vs. strategic) exits.
Feedstock price relief improves margins for Asian refiners and heavy users. Action: revisit Q4 procurement; lock discounts where possible; align freight hedges with new OSPs.
Lower funding costs likely; a de-facto higher target would normalize 2.5–3.5% CPI bands. Action: pull forward refinancings; prefer fixed over floating where spreads allow; re-underwrite demand at a 3% inflation base case.
Live translation on AirPods delayed in EU; DMA enforcement ongoing. Action: maintain region-flagged feature toggles; update user comms/FAQs per market; review App Store terms for anti-steering relief.
You are an OKR architect. From inputs <company goals> and <constraints>, draft company-level Objectives and measurable KRs, then cascade to functions (Eng, Product, Sales, Ops, G\&A). Include baselines, targets, owner, cadence, dependencies, and leading vs lagging indicators. Add a risks section and a review ritual.
Create a blameless postmortem for incident <id>: timeline, customer impact, 5 Whys, contributing factors, detection gaps, and corrective actions. Propose guardrails, SLO/SLA adjustments, runbooks, and 30-60-90 follow-ups with Jira tickets and owners. Provide an executive summary.
Threat-model feature <feature> using STRIDE. Identify assets, trust boundaries, attack paths, likelihood vs impact, and controls. Map mitigations to standards (ISO/IEC 27001, SOC 2). Output a table of threats, controls, residual risk, and test cases.
Produce a rater guide: competency model by level, behavioral anchors, calibration rules, sample feedback phrases, and growth plans. Include legal and bias pitfalls to avoid and a suggested timeline with manager training agenda.
Design a weekly competitive intel brief for <industry>. Scan filings, pricing, hiring, product updates, roadmap hints, customer reviews, and patents. Score threat level 1-5, likelihood vs impact, and recommend counter-moves. Provide a watchlist, signals dictionary, and a 4-week trend chart template.
Draft the next all-hands: agenda, metrics snapshot, wins, customer stories, shout-outs, and upcoming priorities. Include an anonymous tough Q\&A section with concise, values-aligned answers. Add a morale pulse (1-5), follow-up actions, and a 30-day communication plan.
Prioritize <backlog> using RICE scoring. Show score breakdown, dependencies, risk heat, and hiring needs. Produce a quarter-by-quarter roadmap, capacity assumptions, and a cutline. Include a one-pager per epic with acceptance criteria and success metrics.
Build a 18-month cash runway model from <starting cash> and <burn profile>. Run base, conservative, and aggressive scenarios. Include hiring plan effects, COGS, FX risk, debt covenants, and sensitivity to revenue slip. Output a table and key levers to extend runway.
From <org plan> and <targets>, create a headcount plan by team, location, and level. Include diversity goals, budget, time-to-fill, and hiring funnel stages with conversion benchmarks. Output a dashboard spec and weekly stand-up ritual.
Act as a chief strategy officer. For <company> in <industry>, produce a one-page board brief: 1) three strategic moves with rationale, 2) risks with mitigations, 3) KPI tree and North Star metric, 4) 90-day action plan with owners, 5) impact vs effort matrix, 6) hiring implications. Output slide-ready bullet sections.
Given <teaser> and <data room index>, produce an investment memo: market map, tech moat, customer fit, synergy model (revenue, cost), integration risks, cultural fit, diligence questions, valuation comps, scenarios, recommended structure, and 100-day plan. Conclude with a go/no-go and key assumptions.
Create a monthly BvA for each department from <budget> and <actuals>. Show variance absolute and percent, drivers, and corrective actions. Roll up to consolidated forecast update and cash impact. Provide a CFO talking points script.
Draft an investor update: highlights, product and GTM progress, key KPIs, GAAP vs non-GAAP reconciliation, customer logos, pipeline, hiring, risks, and asks. Include a metrics table and a concise narrative suitable for email and deck.
Evaluate vendors from <contracts> and <usage>. Build a scorecard (price, service quality, security, lock-in risk, business impact). Recommend renew, renegotiate, or replace with quantified ROI and switching costs. Include a negotiation brief.
Create compensation bands by level and function using <market data>. Include cash vs equity mix, geographic differentials, and promotion criteria. Provide offer letter templates, equity dilution impact, and approval workflow.
Generate an ADR for <system change>: context, decision, options considered, trade-offs (latency, throughput, cost), failure modes, rollback plan, security and privacy impact, data migration, and observability updates. End with acceptance criteria and sign-offs.
For workload <service>, model 12-month capacity and cloud cost. Include CPU/GPU, storage, egress, and LLM inference. Compare reserved vs spot vs savings plans. Map to SLOs and traffic seasonality. Output a table with monthly forecast, a rightsizing plan, and a cost-to-serve KPI per user.
For product <name>, compute unit economics: revenue mix, discounts, gross margin, CAC payback, LTV/CAC, and contribution margin. Recommend price tiers and packaging. Provide a waterfall from list to net. Include risks and an experiment plan.
Design a quarterly org health pulse: survey items aligned to engagement drivers, heatmap by team, and actions for top 3 issues. Provide facilitator guide, comms plan, and follow-up metrics to verify improvement.
For role <role>, draft a 30-60-90 onboarding plan: outcomes, learning path, shadowing, buddy plan, systems access, early wins, and evaluation rubric. Include manager check-ins and cross-functional intros.
Design a quantum circuit that performs the Deutsch-Jozsa algorithm with n qubits to solve an unbalanced function problem in less than O(2^n) time.
Describe a method to optimize the following quantum circuit: H-QFT-H on 4 qubits, minimizing T-count and maximizing entanglement.
Describe the principles behind Surface Code and Shor code. How do they protect against decoherence? Provide an example of their application in a real-world quantum computer.
Given a quantum circuit with n qubits and m gates, optimize the gate placement and order to minimize the overall execution time on a realistic quantum computer architecture. Considerations: * Resource constraints (e.g., number of qubit-qubit interactions) * Error correction mechanisms * Input data dependencies Provide a step-by-step solution with Python code.
Describe and diagram your approach to developing a practical error correction protocol for quantum computers. Assume a system with N qubits and account for common sources of error.
Create a high-level design for a quantum error correction protocol using surface codes, including the encoding and decoding procedures, and explain how it addresses noise in quantum computing.
Consider a 3-qubit quantum circuit with several layers of gates. The goal is to minimize the overall gate count while maintaining circuit fidelity. 1. Describe the original circuit structure and identify potential optimization opportunities. 2. Apply a combination of techniques, such as gate rearrangement and decomposition, to reduce the number of gates. 3. Evaluate the optimized circuit's performance using metrics like gate error rates and circuit depth.
Write a detailed explanation of the principles and implementation of surface codes or Shor codes in the context of quantum computing, including their applications and limitations. Describe how these codes can be used to protect quantum gates and qubits from errors caused by decoherence, thermal noise, and other sources. Provide an example of how a specific error correction code would be implemented in practice using a programming language such as Qiskit or Cirq.
Write a Python script to create and optimize a quantum circuit implementing Shor's algorithm for factorizing large numbers. Include circuit description, input/output transformations, and performance metrics.
Design a quantum circuit that applies the Surface Code protocol to correct single-qubit errors in a logical qubit.
Generate 10 creative, viral campaign ideas for a sports goods company to market on X, TikTok, and YouTube. Think about challenges, athlete collabs, gamified contests, and inspirational storytelling that would engage sports fans and fitness enthusiasts.
Propose fresh, viral content ideas for a supermarket chain to promote on X, TikTok, and YouTube. Include flash-sale stunts, food challenges, recipe hacks, sustainability campaigns, and influencer collabs that would attract wide attention.
Develop viral marketing prompts for an electronics store to use across X, TikTok, and YouTube. Include unboxing skits, tech vs. lifestyle mashups, futuristic gadget showcases, meme-based reactions, and interactive polls or giveaways.
Design a cross-platform viral campaign idea that can start on TikTok, trend on X, and be expanded into a long-form YouTube video for a sports goods, supermarket, or electronics brand. Include the key creative hook and community engagement mechanics.
Come up with a list of 20 unique hashtag challenges that sports goods companies, supermarkets, or electronics stores could launch on TikTok and X to quickly go viral and convert into YouTube compilations.
You are a startup ideation partner. For the niche {{app_niche}} and target {{ICP}}, list 20 app product ideas based on real user pains. For each idea, provide: - Problem statement (user quote style) - Proposed solution (key features) - Differentiator vs top competitors - Monetization option (one-liner) - 1 X thread hook, 1 TikTok hook, 1 YouTube title - 1 KPI to validate in week 1 Output as a markdown table.
Create a Jobs-To-Be-Done interview script to uncover high-value problems for {{app_niche}}. Include: - 10 warm-up questions - 10 timeline + switching questions - 10 push/pull/barriers questions - Consent + recording note - A scoring rubric to rank pains by frequency, intensity, and willingness to pay Provide post-interview synthesis template and 3 messaging angles for X, TikTok, and YouTube.
Identify top 10 competitors for {{app_niche}} (global + Japan). Build a white-space matrix: - Rows: competitor - Columns: feature depth, UX speed, pricing model, ICP match, platform presence (X/TikTok/YouTube), community strength Highlight 5 exploitable gaps and corresponding content angles for each platform. End with a 30-second elevator pitch.
Craft a crisp Unique Value Proposition for {{product_concept}} serving {{ICP}}. Deliver: - One-sentence UVP (≤15 words) - 50-word product narrative - 3 X thread outlines (hook + 5 bullets + CTA) - 3 TikTok 20–30s scripts (hook in first 1.5s, shot list, captions, CTA) - 3 YouTube titles + 10-sec cold open + thumbnail text Ensure consistency across platforms.
Given {{idea_short}}, define an MLP (Minimum Lovable Product) scope. - 3 killer features (wow moments) - 3 must-haves (table stakes) - 3 nice-to-haves (defer) - Adoption hypothesis + single metric that matters - 5 X post ideas, 5 TikTok micro-demos, 3 YouTube tutorial outlines to showcase the killer features.
Brainstorm 30 brandable app names for {{theme_keywords}} (short, .com/.io/.app friendly). For each: meaning, tone, potential trademark risks (high/med/low), and X handle availability suggestion. Provide a 140-char bio, TikTok bio, and YouTube channel description aligned to the name.
Write: - App Store/Play Store listing (title, subtitle, long desc, 5 bullets, localized JA/EN) - Landing page copy (hero, 3 benefits, social proof, FAQs, footer CTAs) - 1 X announcement thread, 1 TikTok teaser, 1 YouTube teaser script Include UTM scheme and analytics events to track.
Create a 30-day X growth plan for {{product_concept}} to reach {{follower_goal}} followers. Deliver a day-by-day calendar with: - 1 thread outline/day - 3 reply targets/day (account + reply angle) - 1 media post/day (image/short clip) - Weekly Spaces topic - CTAs to waitlist/MVP Include engagement rituals and tracking sheet columns.
Produce 30 TikTok video ideas for {{product_concept}} targeting {{ICP}}. For each: 1-s hook line, 15–30s script, shot list, on-screen text, caption, 3–5 hashtags, CTA. Organize into pillars: Education, Demo, Social Proof, Behind-the-Scenes, Founder POV. Optimize for 9:16 and trends without sounding generic.
Design a YouTube plan to 0→10k subscribers for {{product_concept}}. - 4 evergreen pillars with audience/jobs-to-be-done - 12 video outlines (title A/B, beat sheet, thumbnail text ≤4 words) - 3 Shorts per longform video with remixed hooks - End screens + cards plan - Weekly schedule + CTA ladder
Create a content repurposing SOP: - Start from founder demo (3–5 min) - Derive: 1 YouTube, 3 Shorts, 5 TikToks, 1 X thread, 5 X image posts - Editing beats, subtitles, aspect ratios (9:16, 1:1, 16:9) - Posting times (JST), cadence, and UTM tagging - Trello/Notion board schema for tracking
Build a micro-influencer plan: - 30 target creators (size tiers) on X/TikTok/YouTube - Value-first outreach scripts (DM/email) - Collab formats (duet, stitch, live demo, case study) - Seeding terms, attribution, and affiliate tiers - Discord/community activation calendar
Write 9 ad briefs (3 per platform: X Video, TikTok Spark, YouTube Shorts): - Hook, problem, solution, proof, CTA - Script, b-roll list, subtitle lines, end-card - Offer angle (trial/discount/waitlist) - Safe claims + compliance checklist Include 3 static variations for X and YouTube community posts.
Plan a 14-day launch runway for {{product_concept}}: - Day-by-day teasers for X/TikTok/YouTube - Giveaways/beta invites mechanics - PR/Reddit/communities checklist - Launch day run-of-show (minute-by-minute) - Post-launch week plan (win-back + case study)
Design 3 retention loops and 3 referral loops for {{product_concept}}. Map: trigger → action → reward → investment. Create messaging for: - X thread (feature drop) - TikTok micro-demo - YouTube tutorial Attach in-app prompts and email/DM copy.
Propose 5 pricing tiers and 3 paywall designs for {{product_concept}}. For each tier: value prop, target persona, risk reversal. Provide: - X thread explaining pricing logic - TikTok teardown (voiceover script) - YouTube walkthrough (chapters) Define events to track for conversion analysis.
Define a measurement plan for {{product_concept}}: - North Star Metric, 3 input metrics - Content metrics per platform (view-through, ER, CTR, save/share, replies) - Weekly experiment sheet (hypothesis → metric → result → next) - Sample dashboards (events + dimensions) Add example SQL/regex for UTM parsing.
If {{product_concept}} has a B2B angle, create: - 5 founder-led X threads, 5 reply strategies, 1 Spaces agenda - 3 YouTube case-study outlines (pain → plan → proof → payoff) - TikTok clips remix plan from longform Add CTA ladder to demo/POC.
Localize messaging for JP and EN audiences. Provide: - UVP variants (JP/EN) - X/TikTok/YouTube copy adapted to tone & culture - Hashtag/keyword research (JP/EN) - Compliance notes (claims, screenshots, PII) - Example community responses (polite JP style)
Draft a crisis response plan for social backlash or downtime. Include: - Severity ladder and response SLAs - Templates for X notes, TikTok update, YouTube community post - Comment moderation policy and examples - Post-mortem outline (public)
Create copy variants for {{product_concept}} using AIDA, PAS, and 4P frameworks. For each framework, output: - X thread (hook + 5 bullets + CTA) - TikTok 25s script - YouTube title + cold open + thumbnail text
Plan one weekly live for 8 weeks. For each platform: topic, run-of-show, guest ideas, interactive segments, CTA ladder. Add post-live repurposing (clips, thread, community post) and checklist for tech setup.
Define an always-on UGC pipeline: - Prompts to elicit user stories/demos - Consent/usage rights wording - Weekly UGC spotlight on X/TikTok/YouTube - Attribution templates and incentives
Generate 10 A/B test hypotheses for landing page sections (hero, social proof, pricing, FAQ). Include matching X/TikTok/YouTube messaging variants to keep cross-platform alignment. Define expected lift and metric to monitor.
Write a case-study template with sections: Context, Challenge, Plan, Implementation, Results, Next Steps. Provide: - X thread version - TikTok voiceover script (≤30s) - YouTube 6-minute outline with chapter beats
Create 5 DM scripts for X and 5 email scripts to recruit beta users/partners. Include personalization tokens, social proof, and a no-pressure CTA. Add a follow-up schedule and objection handling snippets.
Research hashtags/keywords for {{ICP}} and {{topic}}. Deliver: - X hashtags (volume/tiered), TikTok hashtags, YouTube search keywords - Semantic clusters and content angles - 10 title formulas per platform
Write: - In-app onboarding tips (3 tooltips + 1 checklist) - X DM welcome message for new followers - TikTok pin comment - YouTube community post for first-time viewers Keep tone friendly and actionable. Localize JP/EN variants.
For {{topic}}, propose 12 YouTube video ideas optimized for search intent. For each: exact-match variant title, supporting keywords, chapter timestamps, thumbnail text (≤3 words), and Shorts hooks. Add an internal link plan across videos.
Design a trend-agnostic TikTok system: - 5 evergreen formats - Repeatable hook library (20 lines) - Shot templates and editing beats - Weekly cadence + batching workflow - Cross-post rules to Shorts/Reels
Build a reply-first X strategy to earn attention before posting threads. - 30 target accounts and reply angles - 10 thread templates (Problem, Guide, Case, Myth, Checklist, Story) - Internal SOP: research → reply → thread → CTA
Coach the founder to perform on camera. Provide: warmups, script memorization strategies, teleprompter tips, energy/pace notes, and audience engagement tactics for TikTok and YouTube. Include a 2-week practice plan and self-review checklist.
Create a monthly growth review template: - What worked/failed (content + product) - KPI deltas vs goals - 5 new experiments for X/TikTok/YouTube - Resource plan and risks Output a one-page exec summary.
Define a roadmap voting and feedback loop. - X thread poll ideas, TikTok comment prompts, YouTube community polls - Weighting schema for votes vs strategy - Changelog templates per platform
Analyze {{niche_cluster}} for sub-niches with low competition/high pain. Provide: 10 sub-niches, TAM/SAM/SOM estimates, willingness-to-pay signals, top keywords, and X/TikTok/YouTube content angles. Recommend one wedge to enter first.
Write landing page copy for {{ICP}} in JP and EN. Sections: hero (UVP + visual idea), benefits, proof, pricing, FAQ, CTA. Add matching X/TikTok/YouTube posts to announce the page update.
Identify 20 JP creators aligned with {{ICP}}. For each: what they value, collab idea, sample DM (JP formal), and expected outcome. Map content deliverables to X/TikTok/YouTube with a tracking table.
Generate 100 hook lines for {{product_concept}} across three themes: Time-saving, Money-making, Status. Format variants for X (≤280 chars), TikTok (≤15 words), YouTube title (≤55 chars + 1 thumbnail text).
Write a motivational post explaining why learning C/C++ is the most powerful career investment for CS/tech students. Highlight how it makes picking up other languages faster, builds confidence, and reveals what happens under the hood.
Create a caring, future-focused prompt to encourage students to learn C/C++ along with CS fundamentals and DSA. Make it fun, engaging, and tie it to long-term career strength.
Craft a future-focused post about why Python is a must-learn language for careers in AI, data science, web dev, and automation. Compare it with C/C++ as the foundation, and Python as the supercharger for future tech.
Write a prompt in the style of a caring mentor who says: 'Learn C/C++ and fundamentals to know how the machine really works, then learn Python to ride the future wave of AI and automation.' Keep it fun, motivating, and reassuring.
Generate a Twitter/X thread prompt starting with 'If you’re in CS (or any tech field), listen up:' explaining why C/C++ + fundamentals = strong foundation, and Python = career booster. Make it witty, yet caring for the reader’s growth.
Map {{product_concept}} to SDGs (3,7,9,11,12,13,15). For each feature idea: - Which SDG target(s) does it serve? - Expected planetary impact (qual/quant) - Human health impact (sleep/stress/activity/diet proxies) - Risks/harms + mitigations Output a prioritization matrix (impact x effort) and a 90-day plan.
Design a carbon-aware scheduling policy for {{workload_type}} on {{cluster_desc}}. Include: - Grid carbon intensity inputs ({{region_codes}}) + renewable forecasts - GPU tactics: mixed-precision, quantization, sparsity, gradient checkpointing - Job classes: deferrable vs latency-critical - SLA-safe shifting windows and priority queue rules - Emissions accounting: Scope 2 location vs market-based Provide a pseudocode scheduler and test scenarios.
Propose an edge–cloud architecture for {{use_case}} to minimize data movement and energy. Deliver: - What runs on-device vs edge vs cloud - Compression/feature extraction strategy - Federated learning or distillation plan - Privacy + wellness impacts - Energy and latency budget per stage Output a diagram description and deployment checklist.
Create an LCA-first plan for {{product_concept}} across stages: materials → manufacturing → distribution → use → end-of-life. Include: hotspots, avoidance strategies, modularity, repairability, recycled content, packaging. Define 10 metrics (incl. emissions avoided) and a quarterly review ritual.
For {{flow}} identify dark patterns to avoid and sustainable patterns to adopt. Produce microcopy and UI nudges that lower energy usage, promote breaks, and encourage active choices (opt-in tracking, low-bitrate by default). Provide accessibility/wellness notes and an A/B test list.
Define features for {{product_concept}} that support healthy behavior: - Movement nudges, posture checks, digital well-being timers - Low-blue-light themes and sleep-friendly notifications - Opt-in physiological metrics and strict data minimization Add a misuse/overuse risk table and guardrails.
Create a co-design program for {{city_or_region}} involving residents and SMEs. Plan: recruitment, consent, workshops, surveys, walk-alongs. Synthesize pain maps (heat, noise, walkability, green access) and propose app interventions. Define success metrics and equity checks.
If hardware is involved, propose a modular design and service model. Include: parts commonality, teardown steps, spare parts catalog, refurbishment flows, take-back logistics, and warranty terms that encourage repair. Add KPIs for reuse rate and landfill diversion.
Integrate {{product_concept}} with local renewable availability. Design features for: flexible task timing, user consented deferral, battery/thermal storage coordination, and user-visible carbon savings. Include a demand response API spec and UX flows.
Propose a federated learning setup for {{health_use_case}}. Cover: on-device feature extraction, secure aggregation, bias checks, consent UX, and fallbacks for low-resource devices. Define model+data drift monitoring and participant incentives.
Design a CI/CD pipeline that minimizes energy. Tactics: selective test runs, caching, artifact reuse, ephemeral environments, static analysis gates, and carbon-intensity-aware scheduling. Add SLOs and a dashboard spec for energy/test cost per PR.
Define a KPI tree that balances business, planet, and health. Include: NSM, leading indicators, guardrail metrics (burnout proxy, screen time, dropout), and emissions/water/waste. Output a schema for a dashboard and event taxonomy.
If geospatial features exist, design overlays for green corridors, tree canopy, and sensitive habitats. Plan: data sources, caching, offline mode, and respectful UX. Add a policy to avoid enabling harmful behaviors and a reporting flow.
For {{infrastructure}} define water impact and reductions. Cover: cooling strategies, recirculation, leak detection, and drought-mode ops. Set WUE targets and alerting rules. Provide a retrofit plan for legacy sites.
Design a lightweight but effective supplier assessment. Include: labor/environment criteria, conflict minerals, traceability needs, and red flags. Output: questionnaire, scoring rubric, escalation rules, and data retention policy.
For each data class in {{product_concept}} define purpose, legal basis, retention, and deletion automation. Propose privacy-by-default settings and user controls. Add an audit log design and breach playbook outline.
For {{model_family}} training on {{hardware}}: - Estimate energy/emissions baseline - Apply: low-rank adapters, distillation, AMP, token pruning, data curation - Carbon-aware job placement Provide a table of expected savings and quality checks.
Optimize on-device inference for {{model}} on {{chipset}}. Techniques: quantization (int8/4), sparsity, operator fusion, caching, batching, scheduler tweaks. Report latency/energy tradeoffs and a rollout plan for older devices.
For {{city_or_region}} design app features that reduce heat risk: shade routing, cool roofs map, hydration reminders, and social check-ins. Add a comms plan for heat waves and metrics for avoided risk.
Audit {{flow}} for accessibility and wellness. Propose improvements in typography, contrast, motion, haptics, and break reminders. Provide success criteria and QA checklist.
If offsetting is used as a last resort, draft guardrails. Prioritize emissions cuts, then high-integrity removals. Define claims policy (no greenwashing), verification cadence, and a public transparency page outline.
Update SRE program for climate risks. Scenarios: heat, floods, wildfires, outages. Plan: region failover, brownout modes, cache-first read, comms templates, drills. Add recovery time targets and user safety messaging.
Craft messaging for {{product_concept}} that is specific, measurable, and non-misleading. Provide claim wording, proof artifacts, disclaimers, and a review workflow. Add JP/EN variants and a content calendar centered on impact, not hype.
Create a high-level compliance map for sustainability + health in {{industry}}. Identify obligations, voluntary standards, and data residency issues. Provide a risk register and an internal policy index.
Design micro-interventions for {{ICP}} that improve daily health without nagging. Deliver 20 interventions mapped to moments (work, commute, evening), opt-in, and privacy notes. Add measurement and habit formation tactics.
Propose a data tiering strategy: hot/warm/cold/archive for {{data_types}}. Policies: TTLs, compaction, dedupe, compression, and green-region replication. Define SLOs and a deletion automation spec.
For {{hardware_fleet}} propose lifetime extension tactics: BIOS settings, thermal limits, parts harvesting, donor units, and resale/refurb channels. Add a dashboard for device age, failures, and recovery rate.
Propose an open data strategy that helps communities achieve {{SDG_targets}}. Define datasets, licensing, APIs, privacy checks, and community engagement. Add a governance model and sustainability plan.
List risks for {{AI_use_case}} (medical/fitness/environmental). Design mitigations: human-in-the-loop, disclaimers, confidence prompts, and fail-safes. Add an evaluation plan with red-team tests and monitoring alerts.
Suggest lower-impact material/packaging swaps for {{product_hardware_or_packaging}}. Include supplier types, durability and cost trade-offs, recyclability, and user experience. Provide a pilot test plan and acceptance criteria.
Define a composite 'well-living' score for {{community_or_user_segment}} that blends: - Air/noise/light exposure proxies - Green space access - Activity and social connection signals (opt-in) - Digital balance indicators Provide data sources, weighting, and privacy notes.
Propose energy-saving defaults and power modes for {{app_or_device}}. Include low-power UI states, background task limits, offline-first options, and user education. Add a toggle policy and telemetry (opt-in) for impact.
Refactor {{feature}} to a local-first pattern with sync. Design conflict resolution, encryption, and degraded-mode UX. Estimate cloud bandwidth/energy saved and user benefits.
Set goals for {{organization}} to go nature-positive. Actions: habitat restoration partnerships, in‑app citizen science prompts, and biodiversity KPIs. Define what to measure and what to publish publicly.
For {{datacenter_or_lab}} propose a staged cooling upgrade. Model energy/water savings, capex/opex, risks, and migration plan. Include safety, maintenance, and monitoring SOPs.
Write a pragmatic buying policy for {{org_size}}. Cover: energy star/EPEAT class, repairability scores, vendor take‑back, and recycled content minimums. Add an approval checklist that fits in one page.
Design perks that boost health and reduce footprint: commute stipends (bike/public), ergonomic kits, green cafeterias, movement breaks, and nature days. Add participation metrics and survey templates.
Imagine a breathtaking sunset where the sky melts into pink, orange, and purple hues over a calm ocean. Hook your audience by asking: 'Ever felt the sky blush just for you?' Then invite them: 'Stay with me, the magic unfolds in seconds.'
Visualize a glowing skyline under a velvet night sky scattered with stars. Hook: 'What if the city lights danced with the stars just for you?' Call to action: 'Look closer, the sparkle begins now.'
Picture a hidden garden bathed in golden sunset light, petals glowing softly. Hook: 'Ever seen flowers whisper under the sunset?' Call to action: 'Watch their secret bloom in the next 5 seconds.'
Imagine a calm lake shimmering under the moonlight, surrounded by fireflies. Hook: 'Have you ever wished the night would glow just for you?' Call to action: 'Stay—your dream begins in 5 seconds.'
Visualize mountain peaks crowned with radiant sunset colors, clouds glowing pink. Hook: 'What if the mountains wore the sunset like a crown?' Call to action: 'Watch the light unfold in seconds.'
Picture a sandy beach at night, waves glowing faintly, lanterns swaying. Hook: 'Ever wanted the ocean to whisper under starlight?' Call to action: 'Walk with me—the scene comes alive now.'
Help me quickly frame what I'm working on. Ask up to 5 bullet questions: scope, outcome, constraints, deadline, examples. Then propose a 3-step plan and one quick win I can do in 5 minutes. Topic: {{topic}}.
Generate 10 diverse ideas for {{topic}} across people, process, product, promotion, and platform. Score each 1–5 for impact, effort, fun. Present the ranked top 3 with concrete next steps and a 24-hour action.
Draft a 300–500 word piece about {{topic}} for {{audience}} with tone {{tone}}. Include a hook, clear structure, and a call to action. End with a one-sentence takeaway and 3 title options.
Rewrite the text to be clearer and friendlier while preserving meaning. Offer 3 tone options (neutral, professional, playful) and a bullet list of improvements with before→after examples. Text: {{paste}}.
Summarize these notes into crisp bullets. Highlight decisions, open questions, and next actions with owners and suggested deadlines. Provide a 1-paragraph executive summary. Notes: {{paste}}.
Create a 7-day learning plan for {{skill}}. Each day: 30–45 min tasks, one practice exercise, and a 3-question quiz. Include checkpoints, minimal resources, and a motivation tip.
Explain {{concept}} at three levels: child, beginner, advanced. Use a simple analogy, then give 5 flashcards and a 5-question comprehension test with answers.
Draft a polite, concise email to {{recipient}} about {{purpose}}. Provide 3 subject lines, a body under 120 words, and a brief P.S. Add an optional Japanese and English version. Include placeholders I can personalize.
Given the code, identify 3 likely bugs and 3 improvements (readability, performance, security). Provide a minimal diff and a short rationale for each change. Code: {{code}}.
For {{question}}, outline a quick research plan (queries, trusted sources). Then produce a 5-bullet answer with inline citations and a short section: what remains unknown and how to find it.
List 5 options for {{decision}}. Build a table scoring Impact, Cost, Speed, Risk, Enjoyment (1–5). Compute a weighted score (40,20,15,15,10). Recommend one option and a backup with first next step.
Create 10 interview questions for {{role}} with model answers, follow-up probes, and red flags. Include a 5-minute warm-up script and a closing summary statement.
Take resume bullets and a job description. Rewrite bullets using STAR with measurable outcomes and keywords mirrored from the JD. Provide a compact summary paragraph. Resume: {{resume}}. JD: {{jd}}.
Given goals {{goals}}, produce a daily plan with 3 most-important tasks, time blocks, and a 2-minute version for busy days. Include an end-of-day reflection checklist and tomorrow’s first step.
Plan a relaxed 2-day itinerary for {{city}} with 2 must-see spots, 2 hidden gems, lunch and dinner ideas, transit tips, and a weather fallback. Add an optional kid-friendly or accessibility note.
Describe a scenario where you are tasked with optimizing the workflow of a supercomputing cluster used for climate modeling. The cluster has 10,000 cores and is running a complex simulation that requires 5 days to complete. How would you use GenAI to improve efficiency and reduce processing time?
Describe the process of optimizing a parallel algorithm for exascale computing, including strategies for reducing memory usage and increasing scalability. Provide examples of successful optimizations and their impact on computational efficiency.
Write a detailed workflow for optimizing the execution of a large-scale scientific simulation on a supercomputing cluster, incorporating AI-assisted task scheduling and resource allocation.
Develop a prompt that generates an optimized HPC job schedule, considering resource allocation, data transfer times, and energy efficiency for a large-scale simulation task.
Describe a workflow to optimize simulation scenarios on an HPC cluster, minimizing computational resources and maximizing accuracy. Please provide: - A step-by-step process for selecting suitable algorithms and software tools, - Techniques for load balancing and task scheduling, - Strategies for data storage and visualization. Assume access to cutting-edge hardware and software technologies.
Optimize GenAI workflow by analyzing performance on latest edge GPU boards and integrating new equipment to enhance productivity and efficiency in robot professional tasks, focusing on real-time data processing and accuracy.
Write a GenAI workflow to automate robot calibration and maintenance tasks on edge GPU boards, utilizing the latest equipment integrations and optimized algorithms for real-time processing.
Develop a GenAI prompt that integrates robotic process automation, computer vision, and edge computing to streamline inspection tasks on factory floors using NVIDIA's latest Ampere-based GPU boards.
Develop a GenAI workflow that leverages the processing power of edge GPU boards to optimize robotic task execution, including real-time data analysis and decision-making. Consider integrating with latest edge computing devices.
Write a comprehensive GenAI prompt that utilizes the latest edge GPU boards to accelerate tasks such as data annotation, object detection, and predictive modeling for a team of robotics engineers. Provide detailed specifications on: - Task requirements and inputs - Output formats and expected results - Edge GPU board configuration and optimization strategies The prompt should enable seamless integration with popular GenAI frameworks and libraries.
Generate a detailed step-by-step guide on how to implement real-time object detection and segmentation using the latest edge GPU boards (e.g., NVIDIA Jetson or Google Coral) in a robot's workflow, focusing on precision, speed, and power efficiency.
Write a GenAI prompt that generates step-by-step instructions for a robot professional to assemble and calibrate an industrial robotic arm using the latest edge GPU boards, minimizing assembly time by 30% and ensuring precision accuracy.
Create a GenAI prompt that generates optimized workflows for robot professionals using the latest edge GPU boards, integrating tasks like object recognition, motion planning, and real-time processing.
Write a GenAI prompt for a robotics engineer to optimize edge computing workloads on the latest NVIDIA A100 GPUs, ensuring seamless integration with robotic systems.
Write a detailed guide on configuring and utilizing the latest edge GPU boards for enhanced GenAI performance in robotics professionals' work. Include step-by-step instructions, optimal hardware configurations, and potential software integrations.
You are a senior social strategist. Create a 30‑day cross‑platform content calendar for an influencer in {niche} on {platforms}. Objectives: grow by {target_growth}% and convert {target_conversions} to {goal}. Constraints: keep to {posting_cadence} posts/day, respect platform best practices, brand tone = {tone}. Deliverables: a table with Day, Post Idea, Hook (≤80 chars), Format (reel/short/thread/carousel/live), Suggested Caption, CTA, Hashtags (≤10), Collaboration Angle, Asset Notes, KPI to watch. Also include 5 A/B hook variants per post and a weekly retrospective checklist.
Act as an influencer growth analyst. Audit the public profile at {profile_url} on {platform}. Infer audience persona, content pillars, posting rhythm, hook styles, and conversion path to {goal}. Output: 1) What’s working (evidence‑based), 2) What to stop, 3) 10 experiments (ICE score), 4) Hook style library with examples, 5) 14‑day sprint plan with daily tasks. Assume no private analytics—only public signals and social listening.
Generate 50 viral‑tested hooks and matching CTAs for {niche} on {platform}. For each, provide: Hook (≤80 chars), CTA, Psychological Trigger, Risk Flags (privacy/claims/IP), Safer Alternative if any, and Suitable Format. Align tone with {brand_tone}. End with 10 evergreen, 10 seasonal, and 5 contrarian hooks.
You are a talent scout. Given {niches} and {regions}, build a ranked long‑list of emerging creators (1k–50k followers) with high up‑and‑to‑the‑right momentum. Method: use public signals (posting cadence, engagement quality, comment velocity, collab history, content novelty). Output table: Name, Handle, Platform, Estimated True Engagement (explain calc), Momentum Score (0‑100), Content Pillars, Brand Fit Rationale, Last 5 Hooks, Contact Method (public), Red Flags. Finish with a 30‑day outreach plan and a collaboration concept per creator.
Identify underrated companies in {industry} and {region} that are likely to break out in 6–18 months. Use public/ethical OSINT signals: hiring spikes, engineer‑led blogs, niche community mentions, GitHub velocity, conference appearances, product release cadence, customer support sentiment. Output: Company, One‑line Thesis, Signal Evidence, Risk, Moat Hypothesis, Founder‑Market Fit clues, Potential Collab with {brand_or_creator}.
Use JTBD to propose next‑gen product ideas for {target_user} in {domain}. Steps: 1) Extract core jobs + anxieties + desired outcomes from top reviews/discussions (assume sample provided), 2) Map underserved outcomes, 3) Generate 7 product concepts, 4) For each, define UVP, must‑have features, delighters, technical risks, simplest lovable MVP, and 5 experiment ideas. Deliver a prioritization table (RICE) and a 4‑week MVP plan.
Craft a sharp Category Point‑of‑View (POV) for {product}. Include: Enemy (status quo), New Truths, Naming the Shift, Promised Land, Roadmap to Credibility, Lightning‑Strike moments for {platforms}, and 10 narrative‑aligned content prompts. End with a 60‑second manifesto script.
Build a collaboration matrix between {brand} and creators in {niche}. Axes: Impact vs. Effort. Populate with 20 collab concepts (co‑creation, affiliate, challenges, live events). For the top 5, produce creative briefs: objective, concept, deliverables, timeline, budget range, legal/brand guardrails, KPIs.
Analyze the top {n} products/creators in {space}. Create side‑by‑side teardown: Audience, Content Pillars, Hook Types, Offer/Monetization, Distribution, Strengths, Weaknesses, Moat Signals. Identify whitespace opportunities and 10 contrarian bets. Deliver: Action plan with 3 quick wins (<48h) and 3 medium bets (≤4 weeks).
Design a community‑led growth plan for {product} aimed at {audience}. Outputs: community narrative, value ladder, onboarding rituals, weekly challenges, badge/rep system, moderation guidelines, and a 90‑day content arc with live sessions. Add a simple metric tree and a volunteer/moderator playbook.
Create a flywheel that turns short‑form videos into SEO‑rich, evergreen assets. Pipeline: hook → transcript → blog (EEAT) → email nugget → carousel → thread → repurposed snippets. Provide: content schema, internal links map, rich snippet/FAQ ideas, and 10 pillar pages with cluster topics in {niche}.
Write 10 personalized outreach messages to {target_creator_or_company} for {goal}. Follow: 3‑sentence rule, cite a recent specific post/launch, mutual benefit, clear next step, compliant disclaimers. Include variants for cold DM, warm intro, email, and comment‑to‑DM ladder.
Create a market map for {space}. Buckets: Infra, Tooling, Apps, Services, Community. Propose a 0‑100 scoring rubric with weights for Momentum, Distribution, Moat, Team, Signal Quality. Score {entities} and output a ranked table with brief theses and watchlist triggers.
Build a 30/60/90‑day plan to launch {product} with {audience}. Include: narrative milestones, weekly content goals, collab calendar, waitlist mechanics, MVP feature gates, and conversion experiments. End with a tactical weekly checklist.
Define a lightweight analytics spec for {creator_or_brand}. Deliver: metric tree (North Star → inputs), weekly dashboard spec, definitions (e.g., SAVER: Saves, Average View Duration, Earned shares, Reach), and a 12‑week experiment log template. Provide SQL/pseudo‑SQL for a warehouse with tables posts, sessions, conversions.
Goal: classify the current macro regime and implications for risk assets. Perplexity: aggregate last 7–14 days of macro narratives on inflation, growth, policy; cross‑check multiple sources and provide linked citations; summarize consensus vs dissent. Bloomberg: run WEI<GO>, ECOW<GO>, ECO<GO> for calendar; HP<GO>/GP<GO> on key indices; BI<GO> notes; RV<GO> for sector valuation dispersion; use BQL in Excel to pull CPI, PPI, GDP y/y for G10. Deliverable: 1‑page regime label (reflation/stagflation/slowdown) with 3 trade implications and key risks.
Goal: measure equity duration & rates sensitivity for {TICKER}/{PORTFOLIO}. Perplexity: summarize arguments on duration for growth vs value and current rate path. Bloomberg: HP<GO> for yield curve points; YAS<GO> for bond DV01; RV<GO> and FA<GO> to proxy duration via cash‑flow timing; run scenario paths (±50bp) and note price elasticity. Deliverable: rates‑shock P&L table and hedge ideas.
Goal: assess volatility regime and tail‑risk pricing. Perplexity: compile narratives on VIX, MOVE, skew, and realized vs implied. Bloomberg: OMON<GO> for options surface; HP<GO> for realized vol; GP<GO> for term structure; CN<GO> for vol‑driving events. Deliverable: vol regime classification and 2 hedging trades.
Goal: analyze FX carry and policy divergence among BoJ/Fed/ECB. Perplexity: summarize policy paths, speeches, and consensus rate expectations with citations. Bloomberg: FXIP<GO> dashboard, ECO<GO> for rate decisions and CPI; GP<GO> for cross rates; use BQL to compute forward points/carry; CN<GO> for central‑bank headlines. Deliverable: carry table, risk triggers, and trade structuring notes.
Goal: model effects of a 20% oil price spike. Perplexity: gather prior episodes and demand/supply narratives; list vulnerable sectors. Bloomberg: GP<GO> for Brent/WTI; FA<GO>/RV<GO> for energy‑intensity metrics of sectors; ECO<GO> for inflation pass‑through; SPLC<GO> for supply‑chain exposures. Deliverable: sector impact ladder and inflation pass‑through estimate.
Goal: quantify impact of BoJ and FOMC decisions. Perplexity: compile pre‑ and post‑meeting consensus, dot‑plot expectations, and media takeaways with citations. Bloomberg: ECO<GO> calendar; GP<GO> intraday on NKY, TOPIX, USDJPY, UST; HP<GO> on yield curve; CN<GO> headlines. Deliverable: event study table (t‑1 to t+5) with performance and key quotes.
Goal: build relative valuation comp sheet for {SECTOR}. Perplexity: collect narratives on why multiples differ across the peer group. Bloomberg: RV<GO> to compare EV/EBITDA, P/E, P/B; FA<GO> for margins and growth; HP<GO> for momentum; EQS<GO> for screening new peers. Deliverable: comps table + two re‑rating theses.
Goal: interpret China A‑shares sentiment and policy. Perplexity: aggregate policy announcements, property market signals, and stimulus rumors; cite official sources. Bloomberg: CN<GO>/NI<GO> for policy headlines; ECST<GO> for credit/PMI series; HP<GO> for CSI300 sector moves; RV<GO> for valuation reset. Deliverable: sentiment scorecard and sector positioning notes.
Goal: read options positioning and gamma exposure for {INDEX}/{TICKER}. Perplexity: gather recent commentary on dealer positioning and key strikes. Bloomberg: OMON<GO> surface; HP<GO> open interest and volume; GP<GO> for gamma‑sensitive levels; CN<GO> catalysts. Deliverable: gamma map with critical levels and playbook.
Goal: verify M&A rumor likelihood and price impact. Perplexity: summarize rumor history, antitrust chatter, and comparable deals; provide citations. Bloomberg: CN<GO>/NI<GO> to trace headline lineage; HP<GO> for gap/up‑down; HDS<GO> for holder overlaps; RV<GO> for deal multiples; SPLC<GO> for supply‑chain overlaps. Deliverable: probability range, timing window, and trade plan.
Goal: surface Japan small/mid‑cap opportunities with catalysts. Perplexity: find activist campaigns, governance reforms, and local press mentions; provide links. Bloomberg: EQS<GO> filters (market cap, liquidity, ROE, cash/EV); CN<GO> for local news; HP<GO> for price/volume anomalies; HDS<GO> for new holders. Deliverable: short list of 10 names with catalysts and risks.
Goal: identify sector rotation and factor tilts. Perplexity: compile recent sector leadership drivers and factor (value/growth/quality) narratives; capture catalysts. Bloomberg: EQS<GO> to screen sector constituents; RV<GO> for relative valuation; HP<GO> for 1m/3m/6m perf; NI<GO>/CN<GO> for news density; compute factor exposures with PORT<GO> if available. Deliverable: sector & factor heatmap + top/bottom 3 tilts.
Goal: build an earnings preview for {TICKER}. Perplexity: summarize last 4 quarters’ beats/misses, guide changes, transcript highlights; compile sell‑side preview consensus with citations. Bloomberg: DES<GO>, FA<GO>, EE<GO> (earnings estimates), CN<GO>, HP<GO>; SPLC<GO> to map supply‑chain risks; RV<GO> vs peers; set calendar via ECO<GO>. Deliverable: preview memo with bull/bear cases, surprise watch items, and 3 KPIs to track.
Goal: monitor post‑earnings drift for {TICKER}/{SECTOR}. Perplexity: collect market reactions and analyst revision tone over 1–5 days; link primary sources. Bloomberg: HP<GO>/GP<GO> for gap and drift; EE<GO> for estimate changes; CN<GO> for follow‑up items; RV<GO> for multiple reset. Deliverable: drift attribution summary and trade follow‑through checklist.
Goal: understand cross‑asset correlation shifts. Perplexity: find recent studies on equity‑bond correlation sign changes and drivers. Bloomberg: GP<GO> to plot rolling 60d/120d correlations (equities, bonds, commodities, FX); ECST<GO> for macro series; use BQL to compute rolling corr on custom baskets. Deliverable: correlation map with regime annotations.
Goal: run portfolio stress test across macro scenarios. Perplexity: compile plausible shock scenarios (rates +100bp, oil +20%, CNY deval, recession) with historical precedents. Bloomberg: PORT<GO> if available for risk; otherwise BQL + HP<GO> to simulate shocks on positions; ECO<GO> for calendar of risk events. Deliverable: scenario P&L, VaR change, and hedging set.
Goal: nowcast GDP and inflation using alternative data. Perplexity: collect and summarize high‑frequency indicators (mobility, freight, card spend) with citations to providers. Bloomberg: ECST<GO> and BQL pulls for weekly/monthly proxies; GP<GO> to chart; ECO<GO> for official releases to benchmark. Deliverable: nowcast vs consensus gap and trade implications.
Goal: detect rising credit stress ahead of equities. Perplexity: gather narratives on HY spreads, default cycles, bank lending surveys. Bloomberg: SRCH<GO> to list HY bonds, YAS<GO> for spread/yield calc; HP<GO> for OAS series; CN<GO> for downgrades; monitor MOVE index and CDS where available. Deliverable: traffic‑light dashboard (green/amber/red) with thresholds.
Goal: track fund flows and ownership concentration risks. Perplexity: summarize ETF flow narratives and concentration debates. Bloomberg: HDS<GO> for holders; ETF function pages for creations/redemptions; GP<GO> relative perf vs flows; RV<GO> to see crowding. Deliverable: top crowded names list and de‑crowding risk notes.
Goal: construct EM country risk heatmap. Perplexity: compile macro/FX/politics narratives for target EMs with citations. Bloomberg: ECO<GO>/ECST<GO> for macro series; GP<GO> for FX and local rates; RV<GO> for market multiples; CN<GO> for political headlines. Deliverable: heatmap with scores (macro, policy, market) and watchlist.
Goal: diagnose funnel drop-offs for {GOAL_EVENT}. Data: GA4 BigQuery events with event_params. Steps: 1) Construct funnel steps; 2) Use event timestamps to compute step conversion; 3) Segment by device, traffic source, new/returning; 4) Identify friction fields. Output: funnel report with top 5 friction points and experiment ideas.
Goal: design segmentation and CDP activation. Data: events, traits, CRM. Steps: 1) Build segments (recency, behavior, value); 2) Define activation triggers; 3) Map to channels via CDP (e.g., Segment); 4) Measure incremental lift with holdouts. Output: segment catalog and activation plan.
Goal: track feature adoption lifecycle. Data: feature flags + events. Steps: 1) Adoption curve by cohort; 2) Time-to-first-use and repeat; 3) Impact on retention/LTV; 4) Sunset or double-down decisions. Output: adoption dashboard and product roadmap inputs.
Goal: model LTV with RFM and Pareto/NBD. Data: orders table + GA4 user_id mapping. Steps: 1) Derive Recency, Frequency, Monetary; 2) Fit Pareto/NBD (BG/NBD) and Gamma-Gamma for monetary; 3) Validate with holdout; 4) Tie back to channels. Output: LTV by segment and channel ROI guidance.
Goal: compare attribution approaches. Data: multi-touch journeys (GA4 pathing + ad click logs). Steps: 1) Build rule-based (last/first/linear/time-decay); 2) Build Markov and Shapley using transition matrices; 3) Evaluate stability and business interpretability; 4) Recommend model per objective. Output: attribution comparison deck with channel reallocation.
Goal: mine internal site search for intent gaps. Data: GA4 view_search_results and search_term params. Steps: 1) Top queries with zero-results; 2) CTR to result pages; 3) Query clusters using embeddings; 4) Map to content backlog. Output: top 20 content/query fixes to capture demand.
Goal: compare mobile vs desktop behavior. Data: GA4 device category segmentation. Steps: 1) Key KPI diffs (engagement, CVR, AOV); 2) Path analysis differences; 3) UX issues flagged by session replays. Output: prioritized mobile UX backlog.
Goal: define sessionization robustly and filter bots. Data: raw web logs + GA4 BigQuery. Steps: 1) Build session rules (30m inactivity, campaign change resets); 2) Bot filters using IP ranges, UA regex, request rate z-scores; 3) Compare metrics before/after. Output: reproducible bot filter spec and session ruleset with KPI deltas.
Goal: analyze cohort retention and power-user curve. Data: GA4 users and events, subscription logs if applicable. Steps: 1) Build weekly cohorts by first_visit; 2) Compute W1–W12 retention; 3) Plot power-user curve (events per user per week); 4) Segment by acquisition channel. Output: retention heatmap + target cohort improvements.
Goal: analyze onboarding paths with Markov Chains. Data: event sequences for new users first 7 days. Steps: 1) Build state graph of key events; 2) Compute transition probabilities; 3) Identify states increasing probability of {GOAL_EVENT}; 4) Propose nudges. Output: path diagram and recommended guided walkthrough.
Goal: quantify Core Web Vitals impact on conversion. Data: CrUX or RUM data for LCP/INP/CLS + conversions. Steps: 1) Bin users by CWV percentiles; 2) Model conversion vs CWV with semi-parametric fit; 3) Estimate ROI from improving to 'Good'. Output: CWV-improvement business case and roadmap.
Goal: analyze pricing page sensitivity and elasticity. Data: pricing page events, trials, conversions, order values. Steps: 1) Build exposure cohorts by price/test; 2) Demand curve fit; 3) Elasticity by segment; 4) Recommend packaging experiments. Output: elasticity curves and pricing test plan.
Goal: stitch cross-device journeys. Data: login IDs, hashed emails, device graph. Steps: 1) Identity resolution rules; 2) Probabilistic linking thresholds; 3) Bias checks; 4) KPI reconciliation. Output: unified journey map and data contract.
Goal: audit source/medium quality and UTM hygiene for {START_DATE}–{END_DATE}. Data: GA4 BigQuery export `{PROJECT}.{DATASET}.events_*`, ad platform logs, server-side UTMs. Steps: 1) Classify sessions by source/medium/campaign; 2) Flag malformed or missing UTMs; 3) Compute quality metrics (bounce rate, engaged sessions, CVR, AOV, LTV proxy); 4) Rank sources by quality vs spend. Output: table of sources with UTM fix checklist and top 5 cleanup priorities.
Goal: check experiment readiness and sample size. Data: baseline conversion, traffic, variance. Steps: 1) Minimum detectable effect; 2) Power calculation; 3) Guardrail metrics; 4) Sequential vs fixed-horizon guidance. Output: experiment checklist with sizing and runtime estimates.
Goal: synthesize scroll depth with heatmap insights. Data: GA4 scroll events, heatmap tool exports (e.g., Hotjar). Steps: 1) Join scroll depth to content type/length; 2) Identify false bottoms; 3) Flag modules with low attention but high importance. Output: content redesign recommendations prioritized by impact.
Goal: predict churn propensity and design save flows. Data: user activity, support tickets, billing events. Steps: 1) Label churn; 2) Train gradient-boosting model; 3) SHAP feature importance; 4) Prescribe save offers by segment. Output: playbook + targets for triggered interventions.
Goal: generate CRO hypotheses backed by evidence. Data: funnels, heatmaps, surveys, NPS, session replays. Steps: 1) Aggregate pain points; 2) Map to heuristics (clarity, friction, motivation); 3) Prioritize via PIE/ICE; 4) Draft A/B specs. Output: ranked hypothesis bank with expected lift.
Goal: detect robots/scrapers from logs. Data: server logs (CDN/WAF), GA4 anomalies. Steps: 1) UA/IP reputation, JA3/TLS fingerprints; 2) Request-rate and path entropy anomalies; 3) Honeypot endpoints; 4) Impact on KPIs. Output: filter rules and mitigation recommendations.
Goal: deploy real-time anomaly detection and alerting. Data: streaming events and KPIs. Steps: 1) Forecast baselines with ETS/Prophet; 2) Residual monitoring with robust z-scores; 3) Alert playbooks; 4) Postmortem template. Output: alert catalog and on-call runbook.
From the past 48 hours of breaking news, separate 'signal' (persistent stories) from 'noise' (transient hype). Explain why some stories fade while others persist, and estimate which signals will grow stronger.
Given recent geopolitical events, map out possible chains of causality that may unfold. Use probability scoring for each path and summarize the most likely 3 scenarios.
Analyze 100 latest financial headlines for emotion and tone. Summarize global investor mood and forecast short-term market movement (up, neutral, down).
Use daily global headlines to produce a ranked list of emerging risks by impact and likelihood. Provide early warning for possible black-swan developments.
Measure mood swings in cultural, entertainment, and lifestyle news. Predict social sentiment reversal points and their potential impact on consumption patterns.
Analyze government-related headlines for signals of policy shifts. Estimate which country or sector is likely to announce a new law or regulation soon.
Collect latest global energy and resource headlines. Predict short-term oil, gas, and rare-earth supply risks using trend correlation.
Track mentions of artificial intelligence across sectors. Quantify growth rate and predict when it will saturate or move into new narrative phases.
Take the biggest headline of today and ask: what would happen if its opposite occurred? Analyze implications and likelihood of such reversal.
From tech and science news, detect weak signals of breakthrough innovations. Assign readiness level and forecast adoption timeline.
Combine Perplexity's trending data, Google News, and social feeds to generate multi-source weighted predictions on the next 48h headline topics.
Combine data from geopolitical and economic headlines to detect convergence points (e.g., sanctions + resource shortages). Predict emerging conflict or cooperation zones.
Create a graph of how different news events are interconnected via shared entities (companies, politicians, countries). Highlight hidden links and potential cascade effects.
Analyze the pulse of story mentions over time (rise/fall curves). Predict which topics will spike tomorrow and which will decay.
Gather today's top 20 global news items from multiple sources (Perplexity, Reuters, Bloomberg, NHK) and build a matrix of topics, frequency, and sentiment. Identify which 3 trends are accelerating fastest and predict their likely outcome within 30 days.
Measure entropy in daily news topics—how diverse or concentrated is media attention? Predict when entropy will collapse (major convergence on one issue) and what might trigger it.
Trace how a trending topic (e.g., AI regulation) evolves in tone, framing, and sentiment over a week. Predict how it will mutate next and why.
Identify top 10 influencers shaping narratives across news and social media. Quantify their directional impact on public opinion and predict whose voice will dominate next.
Monitor keyword drift across 7 days of news. How do certain phrases (e.g., 'climate tech', 'AI ethics') shift in association? Predict future narrative framing.
Compare sentiment across sources (CNN, Fox, NHK, Nikkei, BBC) for the same topic. Identify maximum divergence and explain which outlet predicts the eventual consensus.
You are a senior social strategist. Build detailed audience personas (pain points, goals, buying triggers) for 3 priority platforms: Instagram, TikTok, LinkedIn. Then design a growth plan per platform with: 1) Core content pillars (3–5) tied to business outcomes 2) 10 post ideas per pillar (hook, angle, CTA) 3) Posting cadence and best times by timezone 4) Interaction system (comment prompts, DM scripts, reply tone) 5) Metrics to watch (leading vs lagging) Deliver as a table and a 30‑day calendar. Small‑biz and enterprise variants.
Choose 5 competitors on X/Twitter, LinkedIn, Instagram, TikTok. Reverse‑engineer their growth: - Hooks, formats, posting windows, hashtag usage - Comment playbook and engagement loops - Top 20% posts by saves/shares; infer why they worked Create a differentiation plan with 12 contrarian angles and a 'blue ocean' content theme. Output a one‑page memo + swipe file of 50 hooks we can outperform.
Create a 30‑day calendar for Instagram Reels, TikTok, YouTube Shorts, LinkedIn posts. For each day include: - Primary post concept (with 5‑second hook and CTA to follow/comment/save) - Support actions (Stories, Comments, DMs, Polls) - Growth loop (e.g., save-to-collect, tag-a-friend, duet, stitch, carousel end-card) - KPI target (view-through rate, saves, shares, profile visits) Provide small business and enterprise tracks with resource level notes.
Generate 200 platform-native hooks sorted by use case (education, drama, POV, myth-busting, teardown, challenge). Rules: max 7 words where possible, high curiosity, avoid clickbait, promise value by second 3. Return as CSV with columns: hook, use_case, suggested_b-roll, on-screen-text, subtitle-timing (mm:ss).
Produce a carousel blueprint template with: - Slide-by-slide structure for 10 slides (hook, payoff, proof, objection, CTA) - 5 visual patterns (contrast, big number, checklist, diagram, before/after) - 20 example headlines per pattern - CTA variants for follows, shares, saves, DM keywords Output both a Figma-ready spec (sizes, margins) and copy prompts.
Create a 12‑week thread plan (3 per week) to establish niche authority. For each thread: thesis, 12–18 tweet outline, data/visuals to include, quote retweet prompts, follow magnet CTA. Include a 'companion' media plan (images, charts) and a system for turning top replies into follow-up content.
Design a LinkedIn posting OS for 3 executives (CEO, CTO, VP Sales): - Weekly cadence (2 thought-leadership, 1 POV, 1 customer story) - Commenting protocol on partner/customer posts - DM follow-up templates (demo, hiring, press) - Document carousels and native long-posts Add a governance checklist (legal, compliance, tone) and KPI tree from impressions to pipeline.
Write UGC creator briefs for 4 formats: product demo, before/after, testimonial, myth-busting. Include: narrative beats, hook lines, required shots, legal disclosures, deliverables, raw footage handoff terms, and creator compensation tiers. Finish with a review rubric and a shortlist of 10 creator niches to target.
Build a micro-influencer map (5–50k followers) for Instagram/TikTok/YouTube in our niche. Return CSV with columns: handle, niche, avg views, engagement rate, audience overlap %, email/DM, sample hook. Provide 5 personalized outreach scripts and a tracking sheet schema.
Design a giveaway strategy that grows qualified followers without low-quality entrants. - Prize-market fit matrix - Entry mechanics (save, comment keyword, UGC submission) and anti-bot checks - Platform compliance notes (IG/TikTok/YouTube/LinkedIn) - 3-week timeline and asset checklist Include a post-mortem template and retention plan for new followers.
Create a community flywheel: onboarding, weekly rituals, spotlight posts, AMA cadence, moderation norms. Map roles (host, moderator, analyst), tool stack, and 12 starter conversations. Connect community moments to public content for reach (clips, carousels, threads).
Write a playbook for handling support on social: SLA targets, tone ladder, escalation paths, macros for common issues, and proactive monitoring queries. Include a 'turn negatives to advocacy' flow with public replies + DM handoff.
Transform 5 case studies into snackable social assets: 3 carousels, 3 short videos, 2 threads, 4 story frames per case. Add proof mechanics (numbers, quotes, screenshots) and CTAs for demo/book a call.
Design an employee advocacy program with: - Content packs per function (Engineering, Sales, HR) - Guidance for safe sharing (disclosures, NDAs) - Gamified leaderboard and monthly spotlight - Tooling and enablement calendar
Create a localization plan for Japan: voice, cultural cues, holiday calendar, and platform mix (LINE Official, Instagram, X). Include LINE engagement flows (rich menus, coupons, surveys) and sample templates.
Provide a social accessibility checklist: alt text, captions, contrast, readable fonts, plain language, cultural sensitivity. Output as a QA sheet and auto-check prompts for future posts.
Draft a crisis playbook: holding statements, approval tree, monitoring keywords, 'what we know' updates, apology patterns, and recovery storytelling. Include example copy blocks for 5 scenarios.
Define a KPI tree from impressions → engagement → follows → conversions. Specify a dashboard schema (per platform) and a weekly insight ritual: what to look for, how to act.
Create an A/B testing protocol for hooks, captions, thumbnails. Define sample sizes, minimum detectable effect, and a testing calendar. Include 50 hook/caption candidates to test.
Given target regions (JP, APAC, NA, EU), propose posting windows for each platform. Include weekend vs weekday patterns and a 4‑week timing test plan.
Design a repurposing workflow: take 5 blog posts and convert each into 1 LinkedIn carousel, 1 X thread, 2 Reels/Shorts, 4 Stories. Include prompt templates and a naming/UTM convention.
Plan a monthly live stream with: teaser posts, script beats, interactive segments (polls/QR), and clip extraction for Reels/Shorts. Add a follow-up DM automation with value drops (guides, templates).
Create a webinar-driven social funnel: promo cadence, speaker snippets, Q&A harvesting, post-webinar recap carousel, and 'DM keyword' automation for slides.
Produce a 6‑week launch plan: teaser phase, announce week, social proof week, and ongoing tutorials. Outline posts per platform, required assets, and CTAs for waitlist/demo.
Generate a seasonal calendar (Golden Week, BF/CM, New Year) with campaign angles, creative prompts, and urgency stacks (limited drops, bundles).
Write an ad creative brief for Meta/TikTok/LinkedIn with 10 organic‑looking variants per audience segment. Include offer ladder (soft → hard), compliance checks, and UTM schema.
Design retargeting sequences (viewed content → engaged → site visitor). Map content assets per step and define 'return to organic' CTAs to avoid ad fatigue.
Create 12 social posts to promote a lead magnet (guide, checklist, calculator). Add save-worthy carousels, short video teasers, and DM opt-in flows.
Propose a lightweight referral program: unique codes, shoutouts, tiered rewards. Provide sample posts, Stories, and DM scripts to activate referrers.
Plan a monthly 'co‑create' content series with niche creators: topic list, recording schedule, cross-post agreement, and attribution.
Build a hashtag/keyword universe: 10 core, 20 mid, 50 long‑tail per platform. Include usage rotation and 'ban risk' notes.
Write a framework for evaluating trends (fit, risk, timing). Provide 10 safe 'evergreen trend' formats and a rapid approval path.
Create 15 LinkedIn posts that deliver the full value in‑feed (no link required): data story, checklist, mini case, counterintuitive lesson. Add CTA variants that earn follows and saves.
Provide 12 script templates with beats for 15s/30s/60s: hook, value, proof, CTA. Pair with b‑roll ideas and caption starters.
List 50 listening queries (brand, category, competitor, pain phrases). Design a response map: join the convo, add value, invite follow, DM handoff.
Draft ethical DM flows for opt‑in keywords (Instagram Stories, LinkedIn). Include value-first sequences, throttling rules, and opt‑out language.
Create a weekly poll plan across IG Stories, LinkedIn, X: topics, options, follow-up content. Use results to craft next week's posts and community debates.
Design shoppable post flows (IG Shop, TikTok Shop, YouTube links). Add creative prompts, pinning strategy, and 'save for later' mechanics.
Turn 10 customer outcomes into bite‑size stories for LinkedIn and X: tension, insight, outcome, metric. Add visual cues and carousels.
Map social KPIs to business outcomes (pipeline, CAC, LTV). Provide a monthly review template with decisions to keep/kill/scale.
Define UTM conventions per platform and a GA4 report set to attribute social properly. Add a checklist for QA before posting.
Create a style guide: voice, tone, banned phrases, emoji policy, caption length by platform, and example do/don't pairs.
Build a library of on‑brand responses for FAQs, praise, complaints, and trolling. Include escalation flags and 'convert to follower' CTAs.
Propose ways to infer 'dark social' impact (mentions in DMs, private groups): coupon tagging, unique lead magnets, survey inserts, and correlation analysis.
Design a program to recruit and reward community ambassadors: roles, incentives, content co‑creation, and monthly showcases.
Create a matrix for channel roles (TikTok = reach, IG = nurture, LinkedIn = authority, X = conversation). Recommend scheduler settings and per‑channel asset variants.
Provide guidelines and examples for social SEO: keyworded titles, descriptive alt text, caption structure, and metadata hygiene.
Plan a quarterly AMA with an executive: topic list, question vetting, safety guardrails, and follow-up threads/carousels.
Create a playbook for covering industry events in real time: prep assets, live posting rhythm, on‑the‑floor clips, end-of-day recap, and post-event roundup.
For a JP retail SMB, design a LINE Official growth plan: rich menu paths, coupon cadence, point cards, survey flows, and cross‑promotion from Instagram.
Define a content calendar schema for Notion/Sheets: fields (pillar, asset, status, owner, KPI, UTM, re‑post date), with sample entries and filters.
Write 20 caption examples per platform (IG, TikTok, LinkedIn, X) in our voice across tones: bold, friendly, expert, playful. Include 'follow-me' CTAs that feel natural.
Specify a visual system for thumbnails/covers: grids, type, logo lockups, color rhythm, and testable thumbnail hypotheses. Return with 10 copy lines per format.
Design a 5‑post onboarding series that new followers see over 2 weeks: intro, big promise, proof, quick win, community invite.
List 50 evergreen post ideas per pillar (education, tools, frameworks). Add update cadences and re‑posting rules.
Create a monthly 'user story' format: short interview script, visuals, and CTA. Provide B2C and B2B variants.
Define roles/responsibilities (RACI) for enterprise social: owners, approvers, legal. Add SLAs and a change log template.
Provide a regularly updated list of risky/ban‑prone tags and how to avoid shadow bans. Add 'safe substitutes' per platform.
Draft a checklist for creator contracts: usage rights, exclusivity, territory, edit rights, disclosure, kill fee, deliverables, timeline.
Convert 50 customer FAQs into content prompts: carousels, shorts, threads. Add CTAs that invite more questions.
Recommend a platform mix and content allocation for SMB vs Enterprise, with budget tiers (organic‑only, light paid, paid+creator).
Define health metrics (active members, comment velocity, quality flags). Set alert thresholds and remediation steps.
Create quick‑start playbooks for emerging formats (Instagram Broadcast, Notes, TikTok Series): use cases, cadence, and sample scripts.
Generate 30 local content ideas for SMBs (cafés, gyms, salons) in JP/US: neighborhood guides, behind-the-scenes, staff picks, seasonal tips.
Outline a quarterly thought leadership series: research snippets, data visualizations, customer roundtables, and POV essays—native to LinkedIn/X.
Provide disclosure templates for affiliates, sponsors, testimonials—localized for JP/EU/US norms.
List 100 hook → CTA pairings optimized for follows, saves, comments, and clicks. Group by platform and objective.
Identify 10 lively but respectful places in Tokyo, Japan for candid street scenes. Provide privacy‑friendly angles, spacing, and etiquette. Add 5 sample captions that attract positive engagement.
Plan a 9‑stop minimalist route in Kyoto, Japan with big negative space. For each stop, specify color dominance, horizon management, and one subtraction rule.
Design a photo route using only public transit and ferries in Osaka, Japan. List 10 segments with boarding point, window seat side, motion blur tip, and nearest follow‑up viewpoint.
Build a sunrise‑only plan for Hokkaido, Japan: 6 stops within 2.5 hours. Include civil/nautical times, backup angles if clouds roll in, and quick transport hops.
Compile a step‑free photo route in Okinawa, Japan with 12 stops. Include elevator entrances, ramp gradients (approx.), nearest accessible restrooms, and seating spots. Output as a map key list.
List 12 Seoul, South Korea locations reminiscent of famous film moods (no spoilers). For each: reference mood, shot height, aspect ratio suggestion, and movement idea (push‑in, pan).
For Busan, South Korea, list seasonal events (non‑ticketed viewpoints) and 10 vantage points with crowd‑avoidance strategies. Provide arrival lead‑time ranges and lens notes.
Hunt 12 macro‑friendly textures in Taipei, Taiwan (wood, stone, metal, foliage). Add focus distance, polarizer note, and background cleanup tip.
Find 12 distant‑layered scenes in Hong Kong (hills, skyline, bridges). Suggest focal range and stabilizing technique. Output as table.
Compose a 3‑tier series in Singapore: ground‑level, mid‑deck, height. Provide 9 spots (3 per tier) with transition paths.
Create an architects’ trail in Bangkok, Thailand: 12 buildings with architect names, completion years, and best façade angles. Output as CSV lines.
List 12 lantern‑rich areas or evening markets in Chiang Mai, Thailand. Provide ISO/aperture starting points and safety tips.
Suggest 10 shots in Hanoi, Vietnam where foreground props (lensball, phone glass, leaves) amplify the scene. Include composition caution and cleanup reminders.
List 10 wind/fog‑friendly spots in Ha Long Bay, Vietnam. Explain safety perches and stabilization when gusts/fog roll in.
Build a route in Ho Chi Minh City, Vietnam that uses only trains/buses/ferries. List 12 stops with platform edge guidance and exit signs to the vantage.
Emulate three master photographers’ compositional ideas in Bali, Indonesia. Assign 3 locations per master with a short directive.
Design a 12‑stop cycling loop in Yogyakarta, Indonesia for photographers. Add bike parking, hydration, and safe dismount zones.
Create a symmetry/leading‑lines scavenger list for Manila, Philippines. Provide 15 locations where converging lines or reflections dominate. Deliver as a table: rank, spot, why_it_works, recommended_focal, tripod_policy, coordinates.
List 12 architectural vantage points in Palawan, Philippines. For each, add: DO (clean horizon, verticals) and DON'T (tilt, clutter). Give lens suggestions and nearest transit. Conclude with a 3‑shot mini‑assignment.
Catalog legal rooftop/viewing decks and public terraces in Kuala Lumpur, Malaysia. List 10 spots with entry conditions (no prices), best focal lengths, and wind cautions. Output as a checklist.
Map 12 Brutalist/Modernist structures in Penang, Malaysia. For each, add a contrast idea (soft human element, plant, sky gradient). Output KML snippet with Placemarks (name, description, coordinates).
Propose 10 long‑exposure studies in Kathmandu Valley, Nepal (water, traffic, clouds). For each: base shutter, ND strength, safety notes, and composition anchor. Output as a checklist.
Select 8 west‑facing viewpoints in Ladakh, India for sunset and 2 afterglow bonus spots. Provide foreground options and safety exits after dark.
Plan a kid‑friendly photo day in Delhi–Agra–Jaipur, India: 8 stops with playground proximity, shaded rests, and snack windows. Include a 'one‑minute composition game' for each stop.
Avoid the 10 most over‑shot places in Guilin & Yangshuo, China and propose 12 nearby alternatives with similar geometry but fewer crowds. Add 'what to emphasize instead' notes.
Find 10 lamp/bridge spots in London, UK to create starbursts. Advise on aperture ranges, tripod spacing, and pedestrian courtesy. Output as bullet points.
List 10 elevated parks/rooftop gardens in Paris, France. For each: wind note, leading‑line trick, and nearest exit after closing.
Map 12 portrait‑friendly backdrops in Rome, Italy with subject‑to‑background distance, shade windows, and crowd ebb flow.
Plan a straight‑out‑of‑camera day in Venice, Italy. Provide 12 locations with in‑camera settings targets and white‑balance anchors.
Select 10 under‑bridge/viaduct angles in Florence & Tuscany, Italy where parallels converge safely. Add tide/wind/ice notes as applicable.
Curate 12 safe backstreets in Barcelona, Spain with interesting texture and signage. Add daylight windows and nearest main road for exit.
Choose 8 ultra‑wide panorama spots in Lisbon & Porto, Portugal. Provide nodal‑point tips, stitch sequence, and foot positioning.
Locate 10 publicly accessible industrial‑aesthetic scenes in Madrid, Spain (docks, cranes, silos). Add PPE courtesy and distance guidelines.
Plan a day in Amsterdam, Netherlands using only a smartphone and one prime lens camera. Alternate shots: phone → camera → phone… Provide subjects and comparison goals.
Catalog 10 green roofs/elevated parks in Berlin, Germany. Add skyline alignments and mid‑day shade angles.
Design a one‑day Munich & Bavaria, Germany photo hunt limited to a 50mm (full‑frame) field of view. List 12 spots with walking directions, and for each include: framing idea, nearest landmark, best 15‑minute light window, and a 'one‑shot' constraint. Output a numbered list plus a packing checklist (batteries, cloth, spare card).
Curate a Prague, Czechia color hunt: RED, BLUE, GREEN, NEON. For each color, propose 5 locations and a micro‑brief (what to exclude, background separation tip). Return as JSON with keys color→[{"place","tip","time","lat","lon"}].
Build a reflections map for Vienna, Austria: rivers, glass façades, polished stone, puddles. Return 14 pins as CSV text with columns: name, surface_type, best_weather, time, lat, lon, notes.
Pick 10 historic postcard views in Budapest, Hungary and suggest modern re‑framings within 200m. Provide before/after framing notes and obstacles to avoid today. Return as a two‑column markdown table.
Find 12 natural or built frames in Zurich & Lucerne, Switzerland—arches, torii, colonnades, trees. Explain the frame→subject distance and separation trick. Return as JSONL, one object per location.
Create a 12‑stop neon night walk in Interlaken & Swiss Alps, Switzerland. Add suggested aperture for bokeh, safe sidewalks, and rain‑on‑glass tricks. Return as steps 1‑12.
Where drones are restricted in Iceland Ring Road, propose 12 ground‑based 'drone‑like' vantage points using bridges, hills, towers. Add horizon control notes and railing‑safe tripod tips.
In Lofoten, Norway, find 10 markets/alleys where steam, smoke, or sizzle makes the shot. Provide condensation control, white balance hint, and vendor‑friendly etiquette.
Draw a 5km loop in Scottish Highlands & Edinburgh, UK with 10 micro‑missions (doors, bikes, cats, shadows…). Return GPX waypoints text and a mission list.
Pick 12 scenes in Dublin & West Coast, Ireland where Phi grid or rule‑of‑thirds excels. Describe grid alignment and a contrarian variation for each.
If Copenhagen, Denmark is coastal, provide 10 tide‑dependent spots. Indicate high/low tide preference and safe footing cautions. Include a non‑coastal fallback if N/A.
Propose 10 black‑and‑white friendly scenes in Stockholm & Archipelago, Sweden: light/shadow patterns, wet cobbles, ironwork. Include metering advice and grain tolerance.
Design a 36‑frame film plan for Helsinki, Finland: shot list with frame numbers, avoid duplicates, and include bracketing rules.
Find 10 staircase geometries in Athens & Santorini, Greece (public access). Include handrail vantage, permission note, and crowd courtesy.
Identify 12 museum/library exteriors in Dubrovnik & Dalmatian Coast, Croatia ideal for lines and scale. No ticket required. Add façade best time and pedestrian flow.
Pick 6 scenes in New York City, USA to shoot at morning/noon/night for a time‑slice composite. Provide tripod re‑positioning tolerances and exposure shift notes.
Recommend 10 solemn spaces in San Francisco Bay Area, USA suitable for respectful photography. Include etiquette and prohibited behaviors to avoid.
List 10 high‑dynamic‑range scenes in Los Angeles, USA. Provide bracketing sequences and halo‑avoidance tips.
Find 8 boat/ferry vantage points in Seattle & Olympic National Park, USA. Include wake patterns and horizon leveling reminders.
Build a dawn‑to‑night relay route in Yosemite National Park, USA: blue hour → golden hour → civil twilight → night. Map 8 stops with exact timing offsets (minutes from sunrise/sunset). Return as YAML with keys: stop, exact_spot, timing_offset_min, lens, composition, safety_note.
When it rains in Grand Canyon & Horseshoe Bend, USA, where do we shoot? Select 10 covered/indoor/reflection‑friendly spots with puddle potential. Include drying stations (cafés), etiquette, and condensation tips. Output as bullet points and a 4‑stop rainy route.
Identify 10 lively but respectful places in Antelope Canyon & Page, USA for candid street scenes. Provide privacy‑friendly angles, spacing, and etiquette. Add 5 sample captions that attract positive engagement.
Plan a 9‑stop minimalist route in Zion & Bryce Canyon, USA with big negative space. For each stop, specify color dominance, horizon management, and one subtraction rule.
Design a photo route using only public transit and ferries in Moab (Arches & Canyonlands), USA. List 10 segments with boarding point, window seat side, motion blur tip, and nearest follow‑up viewpoint.
Build a sunrise‑only plan for Yellowstone & Grand Teton, USA: 6 stops within 2.5 hours. Include civil/nautical times, backup angles if clouds roll in, and quick transport hops.
Compile a step‑free photo route in Bonneville Salt Flats, USA with 12 stops. Include elevator entrances, ramp gradients (approx.), nearest accessible restrooms, and seating spots. Output as a map key list.
List 12 Chicago, USA locations reminiscent of famous film moods (no spoilers). For each: reference mood, shot height, aspect ratio suggestion, and movement idea (push‑in, pan).
For Miami & Florida Keys, USA, list seasonal events (non‑ticketed viewpoints) and 10 vantage points with crowd‑avoidance strategies. Provide arrival lead‑time ranges and lens notes.
Hunt 12 macro‑friendly textures in New Orleans, USA (wood, stone, metal, foliage). Add focus distance, polarizer note, and background cleanup tip.
Find 12 distant‑layered scenes in Washington, DC, USA (hills, skyline, bridges). Suggest focal range and stabilizing technique. Output as table.
Compose a 3‑tier series in Boston & New England, USA: ground‑level, mid‑deck, height. Provide 9 spots (3 per tier) with transition paths.
Create an architects’ trail in Hawaii (Oʻahu & Maui), USA: 12 buildings with architect names, completion years, and best façade angles. Output as CSV lines.
List 12 lantern‑rich areas or evening markets in Alaska (Denali & Coastal Fjords), USA. Provide ISO/aperture starting points and safety tips.
Suggest 10 shots in American Southwest Route 66, USA where foreground props (lensball, phone glass, leaves) amplify the scene. Include composition caution and cleanup reminders.
List 10 wind/fog‑friendly spots in Monument Valley & Navajo Nation, USA. Explain safety perches and stabilization when gusts/fog roll in.
Curate a winter‑holiday food table for Taiwan. Spotlight beef noodle soup, oyster vermicelli, ginger duck, sesame oil chicken, tangyuan, warm douhua. Return a 2‑column markdown table: tradition/context → dish & how to enjoy it, with regional variations and non‑alcoholic drink pairings.
Create a regional winter food sampler across Taiwan. Focus on night markets (Raohe, Shilin, Liuhe). Return as YAML with keys per region: signature_dish, where_to_try, side, heat, notes.
Create a spice ladder for Taiwan winter foods from gentle to bold, centered on hot soy milk with clay‑oven rolls. Give 10 rungs with dish, heat, cooling side (yogurt/herbs/tea), and beginner tip.
Provide allergen‑aware winter picks in Taiwan related to traditional herbal flavor broths (non‑medical). List 10 dishes with common allergens to watch, typical substitutes, and 'ask the vendor' phrases. Output table.
Design a chef‑style tasting of Taiwan winter cuisine around pepper buns & peppery soups for two people at home. 5 courses with plating cue, make‑ahead, and 90‑minute prep plan.
Map winter breakfasts in Taiwan around sweet potato & taro desserts (warm syrups). Return a table: city/region, dish, where, warming factor, sweet/savory, add‑ons.
List vegetarian/vegan winter warmers in Taiwan centered on fried stinky tofu with hot broth sides. Include protein source, toppings, and a simple at‑home adaptation in 120 words each. Output as JSONL—one dish per line with keys: name, city, protein, toppings, home_tip.
Take 6 iconic winter street foods from Taiwan and convert them to easy home recipes featuring Hakka winter dishes & pickles. Each recipe: 5 steps, 30‑minute total, and a leftovers upgrade idea. Output as concise numbered lists.
Build a family‑style winter feast menu in Taiwan with seafood congee and rice porridges. Return as sections: soup, mains, carbs, pickles, dessert; include seating/serving flow and share‑plate etiquette.
Host a friendly winter food showdown between two cities in Taiwan featuring tea pairings (oolong, charcoal‑roast). Compare 6 vs 6 dishes and declare contexts where each city shines. Output as a split table.
Map a tea‑house route for a cold day in China. At each stop pair Sichuan málà hotpot, Beijing mutton hotpot, Chaoshan beef hotpot dish with a specific tea/infusion and a 2‑line tasting note. Output as route list.
Plan a winter street‑food crawl in China around northern dumplings & steamed buns. Output a table with: rank, stall/name, exact spot (market/station), signature dish, spice/heat index (0–5), best time (lcl), queue tip, price range, vegetarian option, notes. End with 5 photo/caption ideas for social.
Create 8 one‑pot winter comfort dishes from China using lamb stews and clay‑pot dishes. For each, give: 6 core ingredients, 20‑minute method, reheating advice, and a pantry substitute. Deliver as bullet points plus a shopping checklist.
List 10 winter dishes from China where ferments/pickles elevate the meal. Highlight zhou (rice porridge) with youtiao and propose portioning tips. Return a table with: dish, ferment/pickle, flavor effect, where to try, take‑home idea.
Find 10 late‑night winter bites in China featuring Yunnan mushroom hotpot. Return as JSON array with objects: name, area, midnight_window, line_tip, warmest_version.
Plan a week of pop‑up tastings during winter in China themed on Sichuan noodles & chili‑oil warmers. Give day‑by‑day mini‑menus, queue mgmt tip, and thermos‑friendly drinks. Return as schedule blocks.
Create a 'broth‑first' list for China winter dishes featuring Xinjiang skewers and lamb soups. Describe broth profile, recommended toppings, and reheating rule. Output as JSONL.
Build a winter Soup/Stew Matrix for China featuring Shaanxi hand‑pulled noodles with vinegar. Return a matrix as CSV text: dish, region/city, broth base, richness (1–5), spice (0–5), ideal weather, side/pickle pairing, reheats well (Y/N), allergen flags.
Match winter foods in China with hot drinks. Emphasize Cantonese slow‑simmered soups. Output a pairing list: dish → drink (tea/infusion/malt/cocoa), sweetness level, why it works, ideal time (morning/noon/night).
Design a fireside/winter dessert set for China using street sweets (tanghulu, ginger candies). Include temperature/texture cues, topping ideas, and a short cultural note (1–2 sentences). Output as a menu card.
Write a winter market guide for India around sarson ka saag with makki roti. Include freshness cues, vendor small talk phrases, and simple prep at home. Provide a laminated pocket checklist.
Assemble a starter kit to cook India winter dishes with Bengal nolen gur sweets. List 15 pantry items, storage life, and 3 quick flavor 'boosters'. Output as YAML.
Collect 12 home‑kitchen classics for winter in India focused on Kashmiri harissa with kahwa. For each, give grandma‑style tip (1 line) and a 20‑minute modern shortcut.
Design a night‑market strategy in India tuned for cold evenings. Focus on: Delhi‑style tandoori & nihari nights. Provide a route map (bullet list with walking sequence), 8 must‑try items, warming drinks, and a 'crowd‑avoid' timing plan. Conclude with a cashless/payment note and hygiene etiquette.
Recommend 10 budget‑friendly winter bites in India centered on South Indian rasam & pongal. For each: estimated price band (local), where to find, warming factor (broth/steam/spice), and a 'rainy‑day' variant. Close with safety/storage tips.
Suggest 8 packable winter lunches popular in India focused on Gujarati undhiyu. For each: leak‑proof container tip, reheat note, smell‑friendly option, and quick garnish. Output as checklist.
Create 12 photo prompts + captions for winter foods in India focused on Hyderabadi paya/nihari soups. Each: framing tip, steam trick, and a one‑line caption that invites saves/follows.
List 10 kid‑friendly winter dishes in India centered on street chaat with warming masalas. Give texture/sweetness notes and a 'less spicy' variant. Provide plating tips.
Script a market‑to‑table story in India for millet & khichdi warmers: shop list → cooking → plating → photo. Return as steps with time estimates and a caption template.
Curate a winter‑holiday food table for India. Spotlight masala chai & snacks. Return a 2‑column markdown table: tradition/context → dish & how to enjoy it, with regional variations and non‑alcoholic drink pairings.
Create a regional winter food sampler across Korea. Focus on kimchi jjigae and seolleongtang gukbap routes. Return as YAML with keys per region: signature_dish, where_to_try, side, heat, notes.
Create a spice ladder for Korea winter foods from gentle to bold, centered on hotteok and bungeoppang street snacks. Give 10 rungs with dish, heat, cooling side (yogurt/herbs/tea), and beginner tip.
Provide allergen‑aware winter picks in Korea related to K‑BBQ plus stews & wraps. List 10 dishes with common allergens to watch, typical substitutes, and 'ask the vendor' phrases. Output table.
Design a chef‑style tasting of Korea winter cuisine around tteokguk and seasonal mandu for two people at home. 5 courses with plating cue, make‑ahead, and 90‑minute prep plan.
Map winter breakfasts in Korea around makgeolli with anju pairings. Return a table: city/region, dish, where, warming factor, sweet/savory, add‑ons.
List vegetarian/vegan winter warmers in Korea centered on spicy seafood stews. Include protein source, toppings, and a simple at‑home adaptation in 120 words each. Output as JSONL—one dish per line with keys: name, city, protein, toppings, home_tip.
Take 6 iconic winter street foods from Korea and convert them to easy home recipes featuring sundubu soft tofu sets. Each recipe: 5 steps, 30‑minute total, and a leftovers upgrade idea. Output as concise numbered lists.
Build a family‑style winter feast menu in Korea with kimchi varieties & winter banchan. Return as sections: soup, mains, carbs, pickles, dessert; include seating/serving flow and share‑plate etiquette.
Host a friendly winter food showdown between two cities in Korea featuring pojangmacha tent routes (late night). Compare 6 vs 6 dishes and declare contexts where each city shines. Output as a split table.
Map a tea‑house route for a cold day in Korea. At each stop pair traditional tea houses & sikhye dish with a specific tea/infusion and a 2‑line tasting note. Output as route list.
Plan a winter street‑food crawl in Japan around regional nabe (yose, chanko, motsu). Output a table with: rank, stall/name, exact spot (market/station), signature dish, spice/heat index (0–5), best time (lcl), queue tip, price range, vegetarian option, notes. End with 5 photo/caption ideas for social.
Create 8 one‑pot winter comfort dishes from Japan using ramen heat map (miso, paitan). For each, give: 6 core ingredients, 20‑minute method, reheating advice, and a pantry substitute. Deliver as bullet points plus a shopping checklist.
List 10 winter dishes from Japan where ferments/pickles elevate the meal. Highlight oden stands (Kanto/Kansai) and propose portioning tips. Return a table with: dish, ferment/pickle, flavor effect, where to try, take‑home idea.
Find 10 late‑night winter bites in Japan featuring Kyoto yudofu & tofu hotpots. Return as JSON array with objects: name, area, midnight_window, line_tip, warmest_version.
Plan a week of pop‑up tastings during winter in Japan themed on Hokkaido soup curry & winter plates. Give day‑by‑day mini‑menus, queue mgmt tip, and thermos‑friendly drinks. Return as schedule blocks.
Create a 'broth‑first' list for Japan winter dishes featuring oden + warm sake pairings (responsible). Describe broth profile, recommended toppings, and reheating rule. Output as JSONL.
Build a winter Soup/Stew Matrix for Japan featuring okayu/zosui rice porridges. Return a matrix as CSV text: dish, region/city, broth base, richness (1–5), spice (0–5), ideal weather, side/pickle pairing, reheats well (Y/N), allergen flags.
Match winter foods in Japan with hot drinks. Emphasize izakaya grills with winter specials. Output a pairing list: dish → drink (tea/infusion/malt/cocoa), sweetness level, why it works, ideal time (morning/noon/night).
Write a winter market guide for Japan around ekiben winter boxed sets. Include freshness cues, vendor small talk phrases, and simple prep at home. Provide a laminated pocket checklist.
Assemble a starter kit to cook France (Alps & Lyon) winter dishes with raclette, fondue, tartiflette, onion soup. List 15 pantry items, storage life, and 3 quick flavor 'boosters'. Output as YAML.
Collect 12 home‑kitchen classics for winter in Switzerland focused on fondue moitié‑moitié, rösti, barley soup. For each, give grandma‑style tip (1 line) and a 20‑minute modern shortcut.
Design a night‑market strategy in Italy (North/Central) tuned for cold evenings. Focus on: polenta e funghi, ossobuco, ribollita, hot chocolate. Provide a route map (bullet list with walking sequence), 8 must‑try items, warming drinks, and a 'crowd‑avoid' timing plan. Conclude with a cashless/payment note and hygiene etiquette.
Recommend 10 budget‑friendly winter bites in Germany (South) centered on käsespätzle, eintopf stews, glühwein bites. For each: estimated price band (local), where to find, warming factor (broth/steam/spice), and a 'rainy‑day' variant. Close with safety/storage tips.
Suggest 8 packable winter lunches popular in Austria focused on tafelspitz, goulash, kaiserschmarrn. For each: leak‑proof container tip, reheat note, smell‑friendly option, and quick garnish. Output as checklist.
Create 12 photo prompts + captions for winter foods in Hungary focused on gulyás and halászlé. Each: framing tip, steam trick, and a one‑line caption that invites saves/follows.
List 10 kid‑friendly winter dishes in Spain (Madrid & North) centered on cocido madrileño, caldo gallego, chocolate con churros. Give texture/sweetness notes and a 'less spicy' variant. Provide plating tips.
Script a market‑to‑table story in Portugal for caldo verde and cozido à portuguesa: shop list → cooking → plating → photo. Return as steps with time estimates and a caption template.
Curate a winter‑holiday food table for UK (England). Spotlight steak & ale pie, roast dinners, mulled cider treats. Return a 2‑column markdown table: tradition/context → dish & how to enjoy it, with regional variations and non‑alcoholic drink pairings.
Create a regional winter food sampler across Ireland. Focus on beef & Guinness stew, coddle, soda bread. Return as YAML with keys per region: signature_dish, where_to_try, side, heat, notes.
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: depreciation, energy, maintenance, labor burden.
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: Activity-Based Costing for mixed-model assembly line.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Cost per unit from OEE losses (availability, performance, quality).
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Scrap and rework cost model with yield ladder.
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: Energy cost with time-of-use tariffs and weekend rates.
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: Demand charges and power factor correction ROI.
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: Compressed air leaks cost estimation.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Preventive vs predictive maintenance ROI.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Tool wear & replacement forecasting (CNC, stamping).
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: SMED changeover cost and lot size tradeoff.
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: Takt, cycle, and line balancing cost impact.
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: Make vs Buy analysis with risk buffer.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: RFQ normalization and supplier quote comparison.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Inventory carrying cost and safety stock (service level).
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: EOQ with quantity discounts and setup time.
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: Packaging & labeling cost breakdown by SKU.
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: Inbound freight cost by Incoterms and lanes.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Outbound shipping mode selection cost.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Tariffs, duties, and landed cost calculator.
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: Carbon cost and emissions accounting (Scopes 1–3).
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: Cost of quality (prevention, appraisal, failure).
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: Warranty reserve estimation from field returns.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Automation capex NPV/IRR with tax shields.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Robot cell ROI (welding, palletizing) incl. uptime.
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: PLC upgrade vs replacement total cost of ownership.
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: MES/SCADA rollout TCO and benefit model.
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: OT cybersecurity investment vs risk cost.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: ISO 9001 audit & surveillance cost plan.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: EHS compliance costs (PPE, emissions, waste).
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: Cleanroom operating cost (HVAC/HEPA, gowning).
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: SMT line cost per placed component.
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: PCB panelization yield & cost.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Component attrition/spillage model for feeders.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: MSL baking time/energy cost.
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: ESD program cost and risk mitigation benefit.
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: Conformal coating cost per board.
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: ICT vs Flying Probe test cost trade-off.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: AOI false call/escape cost modeling.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Reflow oven energy per board & throughput.
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: Rework station throughput and cost per fix.
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: Kitting and material handling cost.
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: Feeder changeover downtime cost.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Injection molding piece cost and mold amortization.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Stamping die amortization and press cost per stroke.
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: CNC machining cost estimator (time, tool, setup).
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: Additive manufacturing cost (3D printing).
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: Powder coating/paint line cost per part.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Anodizing/plating cost per batch.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Welding cell consumables and shielding gas cost.
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: Fixture/jig design and amortization.
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: Metrology/calibration lab cost allocation.
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: Warehouse storage and picking cost per order.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Kanban sizing and stockout penalty cost.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Heijunka leveling cost-impact model.
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: Seasonal demand: overtime vs temp labor cost.
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: Downtime root-cause cost-of-delay.
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: SPC sampling cost vs defect risk.
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Supplier lead-time variability buffer cost.
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Obsolescence risk for electronic components.
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: UL/CE/EMC certification testing budget.
Create a site-selection scorecard for a new workshop in Lanzhou (Lanzhou New Area or nearby zones). Return CSV with columns: factor, weight(0–1), site_A, site_B, site_C, score_calc, notes. Factors should include: distance to Yellow River water intake, rail siding access, power capacity (kVA), gas supply, winter heating, dust-storm exposure, workforce access, incentives, permitting lead time. Conclude with a weighted decision summary and 3 risk mitigations.
Draft a water-balance plan for a Lanzhou factory using closed-loop cooling and process reuse. Output sections: baseline intake (m³/day), process uses, cooling losses, recycling opportunities, treatment train, blowdown handling, target KPI (m³/unit output). Add a checklist for winter freeze protection and a 12-week implementation roadmap.
For a Lanzhou plant with steam heating and electric drives, design a winter (Nov–Mar) energy mix plan. Return a step-by-step calculator: Inputs (tariffs by hour, boiler efficiency, steam demand, COP if using heat pumps), Calculations (cost per GJ and per unit), Outputs (daily/weekly cost, CO₂-intensity estimate). Add a weekend/holiday schedule and a peak-shaving idea using thermal storage.
Build a freight planning matrix from Lanzhou Zhongchuan area to Urumqi, Xi'an, and Chongqing. Return a table: lane, mode(rail/road/air), distance(km), typical transit, pallet rate estimate, peak-season surcharge note, cold-chain suitability. Add a lane-by-lane risk note (weather, bottlenecks) and a weekly dispatch cadence.
Create an RFI questionnaire to source Lanzhou/Gansu-based steel fabrication and machining suppliers. Include: monthly capacity, welding certifications summary, plate thickness range, CNC capabilities, coating options, QA process, on-time delivery history, sample pricing band, and site visit checklist. Return as a numbered list plus a simple scoring rubric (0–5).
Write an SOP for safe operations during dust storms in Lanzhou. Cover: real-time monitoring triggers, temporary indoor shift plans, PPE selection, intake filtration check, equipment covers, cleaning protocol after events, and communication tree. Return as headings with bullet points and a 10-item audit checklist.
Prepare a chemical storage and transfer checklist suitable for petrochemical-adjacent sites in Lanzhou. Sections: inventory register, segregation, secondary containment sizing rule-of-thumb, spill kits, eyewash/shower locations, winterization (anti-freeze handling), training, recordkeeping. Output as a table: item, requirement, frequency, responsible.
Design a plan to hire and upskill workers in Lanzhou. Return a 90-day pipeline: role profiles, skill matrices, on-the-job modules, partner outreach to local vocational schools, and a monthly evaluation rubric. Add a retention bonus idea linked to safety and quality milestones.
Compile a risk register for moving goods from Lanzhou along key west/east corridors. Return CSV: risk, likelihood(1–5), impact(1–5), early-warning, mitigation, owner. Include risks related to weather, customs timing, documentation, and supply disruptions.
Draft essential clauses for bilingual (EN/ZH) maintenance contracts in Lanzhou. Include scope, KPIs, response times, spare-parts responsibility, change-order rules, invoicing cadence, and dispute steps. Return as a two-column table: clause → brief description.
Design a cold-chain plan for beef and other perishables tied to Lanzhou noodle shop suppliers and commissaries. Return a flow: receiving → chilled storage → prep → dispatch → delivery windows, with temperature setpoints and data-logger checkpoints. Add a weekend surge algorithm and a product recall drill.
Propose a retrofit plan for a small EMS line in Lanzhou: feeders, AOI, ICT, reflow with energy metering. Return a unit-economics tear-down: Inputs, Assumptions, Savings buckets (scrap, changeover, energy), Capex, Payback months. Add a 3-tier roadmap: Lite, Pro, Full.
Lay out a warehouse zoning plan in Lanzhou for dry goods, cold storage, and hazardous materials. Return a CSV plan: zone, purpose, temperature, ventilation, fire protection note, forklift route rule, signage. Include a 5S audit sheet and shift handover checklist.
Create a lightweight ESG/carbon reporting pack for a Lanzhou SME factory. Provide: boundary definition, activity data list (energy, fuel, water, waste), simple emission factors placeholder, intensity KPIs (per unit), and a quarterly review ritual. Return as a template with example numbers.
Assemble a readiness checklist to bid on municipal/provincial industrial projects around Lanzhou. Include company docs, safety/quality records, financials, past performance, local service plan, and guarantees. Output as a checklist with 'owner' and 'due date' columns.
Create an audit pack for power quality in a Lanzhou workshop: voltage dips, harmonics, power factor. Return: instrument list, sampling plan, acceptance thresholds (placeholder ranges), root-cause tree, and a corrective-action log template.
Provide a stormwater inspection and discharge monitoring template for a site near the Yellow River. Return a table: location, date/time, weather, turbidity check, sheen/odor note, sample taken(Y/N), corrective action. Add a quarterly housekeeping plan for inlets/drains.
Draft a winter maintenance calendar for outdoor equipment in Lanzhou (approx. −15°C to 5°C). List monthly checks: lubrication, seals, heating jackets, battery care, snow/ice handling, and emergency parts bin. Return as a Gantt-like table with responsibility roles.
Create a B2B outreach plan targeting Lanzhou industrial buyers via WeChat and Douyin. Return: ICP profile, content pillars (case studies, process videos), posting cadence, live-demo format, lead capture flow, and a 4-week content calendar.
Outline financing/leasing options for machinery upgrades in Lanzhou for SMEs vs larger enterprises. Return a comparison table: option, typical term, upfront %, monthly example, collateral note, pros/cons. Add a cash-flow stress test and covenant watchlist.
Refactor this prompt into a testable brief with: goal, constraints, input schema, output schema, and acceptance tests. Provide 3 variants: (A) speed-optimized, (B) accuracy-optimized, (C) cost-optimized. Return JSONL: one line per variant with keys goal, constraints[], input_schema, output_schema, tests[].
Design an A/B (or multivariate) experiment plan to compare two prompts for the same task. Include: hypotheses, metrics (precision/recall or qualitative rubric), sample size heuristic, randomization method, and decision rule. Output a single CSV with columns: metric, definition, calculation, target, min_effect_size, stop_rule.
Build a loop that collects model errors/failures and proposes prompt edits. Steps: (1) bucket failures, (2) extract missing instructions, (3) propose deltas, (4) generate 3 patched prompts, (5) quick re-test table. Output as YAML with sections: failure_buckets, root_causes, proposed_deltas, candidates[], retest_plan.
Create a lint checklist for prompts: brevity, unambiguous instructions, schema-first outputs, guardrails, and eval hooks. Return a checklist table with yes/no and examples. Add 5 before→after rewrites that follow the guide.
Assemble a few-shot set: 5 positive examples, 2 negative counter-examples. Each example contains: input, rationale (1–2 lines), correct output. Return JSONL, then propose an ordering strategy to minimize confusion and token cost.
Given a single messy prompt, split it into System, Developer, and User roles. Explain why each instruction belongs where. Output: role, instruction, reason, risk_if_misplaced.
Take a prompt and inject 10 practical guardrails: forbidden content notes, schema validation, refusal policy, and fallbacks. Provide both a short and long version. Output as two Markdown blocks.
Translate the prompt’s requirements into a lightweight program skeleton with function signatures, I/O types, and edge cases. Provide implementations for input parsing and output validation. Language-agnostic pseudocode.
Create a rubric for humans to score the model’s outputs: 5 criteria, 5-point scale each, behavioral anchors per score. Provide a one-page training note for raters and inter-rater reliability tips.
Compress a long prompt by >40% while preserving constraints and output format. Show a diff (removed/kept/condensed) and a final compressed version. Return as Markdown with a 3-row risk table.
Given an unweighted graph (edge list), generate steps to formulate a Max-Cut QAOA instance: cost & mixer Hamiltonians, initial state, parameterization, and classical optimizer loop. Output Python-like pseudocode and a JSON block describing inputs/outputs. Include a note on noise-aware depth.
Outline a VQE workflow for estimating ground state energy of a small molecule. Specify ansatz choices (UCCSD vs hardware-efficient), mapping (Jordan–Wigner/Bravyi–Kitaev), optimizer options, and stopping criteria. Provide a minimal code sketch and a CSV of hyperparameters.
Create a plan to characterize noise on a NISQ device: T1/T2, readout error, crosstalk notes. Recommend mitigation: measurement error mitigation, dynamical decoupling, zero-noise extrapolation. Output as YAML plus a small experiment schedule table.
Design a quantum kernel or feature map for a binary classifier. Include encoding scheme, circuit depth estimation, and classical SVM pairing. Return circuit description in a textual gate list and a short comparison to a classical RBF kernel.
Propose how to split compute between CPU, GPU, and QPU for a variational algorithm. Provide a pipeline diagram description, and give heuristics for batching, latency hiding, and caching parameter shifts.
Explain parameter-shift gradients for variational circuits with a simple example. Show the numeric finite-difference alternative and compare variance/cost. Provide a tiny test harness.
Describe how to encode a directed graph into a quantum walk operator. Include oracle construction ideas, coin vs shift operators, and observables to measure. Output a step list and pitfalls to avoid.
Define a benchmarking suite for variational algorithms: datasets, seed control, metrics (energy error, convergence time), and reproducibility notes. Output: CSV spec (metrics) and YAML (suite config).
Create an error budget calculator that allocates total error across depth, readout, and optimizer noise. Provide equations and a worked example. End with a rule-of-thumb table by device size.
Sketch a high-level resource estimation: logical qubits, code distance, T gate count, and runtime for a toy algorithm. Explain assumptions clearly and return a table with optimistic/base/pessimistic scenarios.
Design a dashboard spec that visualizes OEE by line, shift, and product as a heatmap. Provide the data model (tables/fields), API endpoints, and color scale thresholds. Return as a JSON schema and an example payload.
Create a process flow diagram in Mermaid that highlights bottlenecks and rework loops. Include annotations for cycle time and WIP. Provide example code and a legend.
Specify a Sankey diagram to show energy flows from source to end use, including losses. Return node/link CSV and a config snippet for a typical JS chart library.
Draft a simplified P&ID-style schematic for a boiler feedwater loop. Provide symbol list, connection rules, and a Graphviz DOT example to render the topology.
Propose a grid layout for a small factory with equipment footprints and pedestrian safety lanes. Output a coordinates CSV (x,y,w,h,rotation,label) and notes for sightlines.
Define a timeline view for andon events with severity colors, tooltips, and drill-down. Provide a JSON example and an accessibility checklist.
Prepare a spec to render X-bar/R and P charts with rule violations. Include input column names, calculation steps, and UI annotations. Output as Markdown + CSV example.
Describe a hybrid Gantt/Kanban board for maintenance tasks. Detail card fields, WIP limits, and dependency lines. Provide an example dataset to paste into a web demo.
Plan a heatmap showing pick density by bin location over time. Provide bin coordinate schema, aggregation window, and outlier handling. Return SQL template and a color scale guide.
Define an alarm rationalization matrix with severity, frequency, and operator action. Return a table template and a scoring equation to prioritize alarms for cleanup.
Create 40 opening hooks (≤10 words) for Shorts/Reels/TikTok in tech/business niches. Categorize by emotion: surprise, fear of missing out, curiosity, authority. Return as CSV with columns: hook, emotion.
Make a 30-day content calendar that repurposes one pillar article into 30 posts across X/LinkedIn/Instagram/TikTok/YouTube. Include CTA per platform and a UTM tag scheme. Return as a table.
Compile a swipe file of 20 pattern-breaker ideas (visual and copy). For each, give when to use, why it works, and a safe variant for regulated industries.
Write 25 prompts that reliably drive comments (polls, dilemmas, myths). Include a follow-up reply template to keep threads alive. Output as Markdown.
Provide a script template for 60-second videos: Hook (0–3s), Story (3–45s), Offer (45–60s). Add examples for SaaS, consulting, and local retail. Return as JSON with arrays per niche.
Design a 9-slide carousel blueprint with slide-by-slide copy prompts and recommended visuals. Include accessibility alt-text suggestions. Output as a table.
Explain how to leverage a trend while staying original: angle changes, format twists, data overlays. Provide a decision tree and 5 safe/legal checks. Output as bullet points + a tiny flowchart in Mermaid.
Outline mechanics for a compliant giveaway or engagement loop: entry, validation, anti-bot measures, winner selection, and fulfillment. Provide a risk checklist for platform policies.
Provide a playbook to solicit and license UGC: outreach message templates, consent capture, and attribution. Include a spreadsheet header for tracking. Output as Markdown + CSV header line.
Convert 50 FAQs into 10 topic clusters with pillar and spoke posts. Provide internal link suggestions and evergreen update reminders. Return as YAML and a list of proposed headlines.
Design an automation that captures web leads, enriches them, books a call, and issues an invoice upon closed-won. Provide trigger→actions list, field mappings, and failure retries. Output as YAML.
Create rules to triage emails: label, route, SLA timers, and VIP alerts. Include regex-like filters, edge cases, and a weekly review checklist. Return as a table.
Specify a bot that watches stock levels, predicts reorder points, and sends purchase orders. Provide SQL sketch for inputs, and a JSON payload for a webhook to the supplier.
Set up an appointment flow with buffer times, auto-reminders, no-show handling, and waitlist. Provide a state diagram description and message templates. Output as bullet list + CSV of messages.
Create rules to auto-code expenses to GL accounts with confidence scores. Include exceptions (per-diem, mixed receipts) and a sampling audit. Output as JSONL examples.
Write a 14-day onboarding plan with day-by-day touchpoints, docs to send, and health-score checks. Provide a churn risk signal list. Output as a table.
Design a support triage flow with tiers, SLAs, and escalation rules. Include macros, tag taxonomy, and a weekly QA scorecard. Output as YAML + CSV taxonomy.
Define a daily KPI snapshot email: revenue, pipeline, churn, NPS, tickets. Provide a template with placeholders and an SQL view sketch. Output as Markdown + SQL.
Propose a lead-scoring model: behavior weights (visits, time, events), firmographics, recency. Include a cutoff policy and a feedback loop from sales outcomes. Return as a table + pseudocode.
Create a data retention policy for a small business: categories, retention periods, lawful bases, and deletion workflows. Provide a redaction checklist. Output as a two-column table.
