Showing results for "cost-optimization"
Examine how adopting digital textbooks as a standard policy transforms teaching methods, student access, costs, and assessment. Identify success metrics, potential barriers (training, infrastructure, ...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Analyze the design and impact of export control regimes on strategic technologies, considering domestic innovation incentives, supplier networks, international alliances, compliance costs, and potenti...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Investigate how sustained energy price pressures and central bank policy expectations affect corporate borrowing behavior, capital structure, and investment across industries. Develop scenario analyse...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Investigate how fluctuations in energy prices influence EV manufacturing decisions, including cost structures, supply chain resilience, risk management, and policy incentives. Compare regional scenari...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Analyze how macro indicators such as GDP growth surprises, sovereign credit ratings, and credible fiscal management influence long-run policy choices, borrowing costs, and investment decisions in emer...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Develop a framework to compare how different energy price regimes influence the location, architecture, and resilience of large-scale AI and data-processing hubs. Consider electricity grid reliability...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Analyze how advances in AI model efficiency, compute costs, and competition among cloud providers influence pricing, feature bundling, and service strategies. Build a framework to evaluate when price ...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Design a decision and evaluation framework to assess the long-term economic and political effects of major cross-border infrastructure projects. Your framework should consider lifecycle costs, regiona...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Design a policy and market strategy to accelerate adoption of precision agriculture and waste-reducing biotechnologies in farming, detailing regulatory clearance, cost-benefit analyses, incentives for...
Author: Curioprompt
Category: Science | Model: gpt-5-nano
Examine how governments redesign regulatory frameworks governing seed supply, agricultural biotechnology, and consumer protections. Analyze the trade-offs between deregulation to reduce costs and barr...
Author: Curioprompt
Category: Policy | Model: gpt-5-nano
Investigate how insurance coverage rules, eligibility criteria, and out-of-pocket costs shape access to gender-affirming treatments. Propose policy options to expand equitable access while balancing c...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Create a policy toolkit that reduces bureaucratic overhead for small businesses while mitigating energy cost risks, including regulatory simplification, energy market reform, and targeted credits, plu...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Propose a blueprint for a low-cost AI stack that empowers hobbyists, educators, small businesses, and startups to experiment with machine learning. Include hardware options (open hardware vs. embedded...
Author: CurioPrompt
Category: Technology | Model: gpt-5-nano
Analyze how a policy change aimed at suppressing informal, unregistered micro-retailers alters incentives for formal registration, compliance costs, consumer protection, and worker livelihoods in urba...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Create a framework for evaluating large-scale infrastructure megaprojects that blends geopolitical risk, climate resilience, funding models, governance, and long-term socioeconomic value. Propose deci...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Examine how energy-import dependence and pricing dynamics influence inflation, energy security, and policy choices. Discuss diversification strategies (alternative suppliers, substitutes, and domestic...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Analyze how volatile energy prices can propagate through a country's financial markets, exchange rate, inflation, and growth outlook. Identify transmission channels (import costs, commodity-linked equ...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Design a study of household and business resilience to sustained energy price volatility. Include changes in labor flexibility, travel patterns, gig economy participation, and investment in efficiency...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Explore strategies for upgrading or replacing aging large-scale energy assets to ensure reliable power supply, while accelerating decarbonization, balancing cost, public acceptance, and resilience to ...
Author: CurioPrompt
Category: Energy | Model: gpt-5-nano
Investigate how cost-cutting measures in public agencies affect service delivery, productivity, and morale; develop a transparent decision framework that weighs efficiency gains against the protection...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
You are an elite, highly specialized 'Australia Mining Technology and Mineral Processing Expert'. Your expertise spans the entire modern mining value chain, from exploration expenditure trends to comp...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite, specialized Cross-Border Trade Strategy Consultant focused exclusively on the USMCA corridor between the United States and Mexico. Your expertise must be rooted in interpreting and l...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite 'China Manufacturing Optimization Expert' specializing in interpreting and applying national industrial policy, particularly the Ministry of Industry and Information Technology (MIIT)...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are the "Argentinian Agritech and Agricultural Economics Expert," a highly specialized AI consultant with deep, actionable knowledge of South American, specifically Argentine, agriculture, and its...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Teach me how to optimize for frame-time stability: frame caps, VRR, scaling, and in-game settings. Provide a checklist for consistent feel.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Provide a storage decision guide: performance, thermals, capacity, cost, and reliability. Include advice on organizing OS/games/emulators for fast load times.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain hall effect vs potentiometer sticks: drift, feel, power, cost, and repairability. Provide a selection checklist and calibration tips (high level).
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Generate a bill-of-materials template for a handheld build: compute, display, controls, battery, cooling, enclosure, fasteners, and tools. Include cost and risk columns.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a cost control plan for makers: stage gates, “must-have vs nice-to-have,” reuse parts, and how to decide when to stop iterating.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a plan to evolve telemetry schemas: version fields, dual-write, backfill, and validation. Include privacy checks and cost controls.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that optimizes tail latency: identify bottlenecks, reduce contention, add caching, and validate with load tests. Track p95/p99 improvements.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Propose businesses that monetize energy efficiency: audits, smart control, optimization for factories/homes. Include pricing models tied to verified savings.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a performance tuning agent that profiles hotspots, proposes targeted optimizations, validates with benchmarks, and documents tradeoffs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that reduces third-party API spend via caching, batching, and smarter fallbacks, while preserving correctness. Include cost dashboards and guardrails.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to reduce logging costs: sampling, cardinality caps, and aggregation. Require proof that debugging capability is preserved via incident drills.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a cost-aware policy: budgets per run, per tool call, and per environment. Require justification for expensive steps and optimize via caching and routing.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design pricing models for near-zero marginal cost products: usage-based, outcome-based, subscription bundles, freemium with premium trust, and compliance tiers. Include pros/cons.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Propose a food business: AI-designed meal plans, personalized nutrition guidance (non-medical), and optimized supply procurement. Include monetization (subscriptions, B2B).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a customer support system that optimizes for real resolution: knowledge base, tool integrations, escalation, and post-resolution learning. Include pricing for SMEs vs enterprise.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Generate product ideas around water scarcity: detection, reuse, filtration, industrial optimization. Include deployment paths and go-to-market for municipalities vs industry.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an agent to optimize CI time: caching, test sharding, and selective runs while preserving safety. Include a policy to prevent skipping critical tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a logistics optimization product: routing, forecasting, and exception handling. Include integration plan with existing systems and pricing tied to savings.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an improvement loop keyed to SLOs: latency, error rates, and quality metrics. Require that proposed changes specify which SLO they target and how measured.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that tunes retry/backoff/rate-limits based on telemetry. Require proofs that error rates drop without raising costs or latency.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a property renovation/design business using AGI: cost estimation, layout generation, contractor coordination, and marketing. Include unit economics and risk controls.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a method to add assertions/contracts before refactoring so behavior is constrained. Include invariant selection, runtime cost management, and removal policy.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that improves ETL reliability: retries, idempotency, checkpoints, and backfills. Require correctness validation and cost constraints.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design caching: query result caches, page caches, and embedding caches. Include invalidation rules based on freshness requirements and how to prevent stale conclusions.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a selection matrix for available APIs: search/SERP providers, content extraction, crawling, and anti-bot friendly approaches. Compare cost, rate limits, coverage, and TOS constraints.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design content versioning: snapshots, change logs, and references to “as of” dates for citations. Include retention and storage cost considerations.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Build a cost model: per-query search API costs, per-page fetch cost, storage, embeddings, and LLM tokens. Provide formulas and a budgeting plan with guardrails.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a crawl plan: seed selection, depth limits, domain allowlists, URL patterns, and prioritization heuristics. Include a method to estimate crawl cost and coverage.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design cost controls: budget caps, queue prioritization, cache policy, and abort rules for expensive runs. Include a method to estimate ROI of improvements before executing.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a UGC production pipeline: concept, asset creation, optimization, QA, publishing, and iteration. Include performance budgets and a checklist to reduce rejections.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Explain multiplayer networking choices at a high level: dedicated servers vs P2P, authoritative models, lag compensation, and cost considerations. Keep it conceptual and developer-friendly.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Help me optimize controller settings: dead zones, response curves, acceleration, gyro (if available), and aim assist interactions. Provide a structured testing protocol and recommended starting preset...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a safe, evidence-based PC optimization checklist for gaming: drivers, power settings, background processes, storage, thermals, and BIOS basics. Include what NOT to do and how to measure improve...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a backlog triage framework: criteria for continuing, pausing, or dropping games; timeboxing; and avoiding sunk-cost traps. Provide a spreadsheet-friendly scoring method.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design an optimal competitive setup: refresh rate, response time, VRR, motion blur reduction, DPI/sensitivity conversion, and mousepad sizing. Include a calibration routine and pitfalls.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a critic pattern: structured critique prompts, bounded iterations, and a stop rule. Include how to measure improvement vs added latency/cost.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Provide a phone readiness checklist: emergency alerts, battery optimization, offline maps, important contacts, medical ID, and a “low power” routine.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Propose an interrupt strategy: aggregation, prioritization, masking, and latency optimization. Provide a register map approach and verification plan for storms and lost interrupts.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Write a YouTube script with retention mechanics: cold open, stakes, pattern interrupts every 45–60 seconds, recap beats, and a strong close. Provide chapter titles and b-roll notes.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Explain the concept of split ticketing for trains: when it can reduce cost, how to ensure compliance with operator rules, and risk management. Keep it general and ethical.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Design a method to structure multi-city trips: open-jaw flights, rail segments, and bus legs. Provide a checklist to minimize backtracking and reduce total cost.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Turn a complex repair into a clear non-technical explanation with what failed, why it matters, options, risks of delaying, and cost drivers. Provide a respectful tone.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Provide a stopover strategy: when stopovers reduce cost, how to choose stopover cities, and how to manage baggage and visa/entry considerations (general). Keep it practical.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a calm, practical emergency readiness plan for my region (Europe/Asia/USA/Africa) and living situation (apartment/house/dorm). Include: realistic risks, low-cost preparations, a 72-hour kit che...
Author: Assistant
Category: preparedness | Model: gpt-4o
Create a guide to paying smartly: local currency vs dynamic currency conversion, credit card travel categories, and booking-site currency settings. Include common pitfalls and a simple rule set.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain common rail ticket types (where applicable): advance purchase, off-peak, anytime/flexible. Provide a decision guide to balance cost and flexibility.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a business-travel booking plan: compliance with policy, maximizing flexibility, and minimizing total cost (including change risk). Provide templates for documenting justification.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a high-mileage health assessment: compression/leakdown, fluids, suspension, bushings, bearings, brakes, corrosion, electrical, and total cost of ownership forecast.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design a 30-day budget preparedness plan: what to buy each week, how to avoid hoarding, and how to rotate supplies. Include low-cost alternatives worldwide.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create an A2A negotiation mechanism: task contracts, acceptance criteria, SLAs, and cost budgets. Include how agents refuse tasks they cannot verify or safely perform.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create an ultra-budget global travel plan using low-cost flights, night trains, ferries, buses where needed, and budget accommodation. Include comfort tradeoffs, safety basics, and where not to cut co...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Provide a room-by-room home safety walkthrough for earthquakes: anchoring, glass, exits, and safe spots. Include a prioritized “do first” list and low-cost fixes.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Help me decide whether to choose a short layover, long layover, or stopover. Include missed-connection risk, airport comfort, city access, baggage rules, and visa/entry considerations.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Help me communicate tradeoffs. Provide a framework to discuss scope, time, quality, and cost. Generate a script for aligning priorities with stakeholders.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Explain when round-trip is cheaper or safer vs one-way or open-jaw. Provide a method to compare total cost plus flexibility and risk.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a multi-modal itinerary strategy for an experienced world traveler using ship, airplane, and train. Compare time, comfort, reliability, border complexity, luggage handling, and total cost. Prov...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Build a decision framework for rail passes vs point-to-point tickets: trip frequency, peak/off-peak, reservations, and flexibility. Provide a worked example template.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a comfort-vs-price framework: seat pitch, duration, sleep quality, and total fatigue cost. Provide a recommendation rule for when to upgrade seat or choose another mode.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Given interface constraints, choose optimal bus width and burst sizes to maximize effective bandwidth. Include alignment rules, packing/unpacking costs, and a microbenchmark plan.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create an X-prop strategy: when to use X-optimism vs pessimism, initialization, and how to avoid hiding bugs. Provide simulation flags guidance and SVA patterns to detect X-leaks.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Explain common fare types (basic/economy/flexible/refundable) for air and rail, plus bus ticket rules. Provide a simple calculator-style method to compare expected cost including change/cancel risk.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a baggage strategy for flights: carry-on sizing, personal item packing, when checked bags are worth it, and how to avoid overweight fees. Include region-specific norms and LCC quirks.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Write a founder narrative optimized for credibility: origin, why now, what you believe, proof points, and customer impact. Provide 3 lengths: 150 words, 500 words, and a 2-minute spoken version.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a strategy for choosing between major vs secondary airports: total cost, transit time, baggage rules, and schedule reliability. Include examples of typical tradeoffs in USA/Europe/Asia.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Design a budget remote-work travel setup: reliable cafés, libraries, coworking day passes, offline work planning, and low-cost connectivity. Include power and noise management.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Compare accommodation strategies: luxury hotel, boutique stay, budget guesthouse, sleeper train, or ship cabin. Include value, recovery quality, location, loyalty benefits, and hidden costs.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create an algorithmic approach to route planning: start/end constraints, clustering cities, choosing rail vs air segments, and minimizing backtracking. Provide steps and sanity checks.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create app store listing copy: title/subtitle, short description, full description, keyword strategy, and screenshot captions. Provide 3 positioning angles and a testing plan.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a search workflow: compare bus/rail/air, use flexible dates, and filter by true cost and schedule. Include steps to avoid ‘search rabbit holes’ and decide faster.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a sleep-optimized travel plan: best seat choices for sleep, timing strategy, and items to bring. Apply to trains, buses, and flights (general).
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a preparedness plan optimized for apartments: storage tactics, compact kit, and hazard reduction. Include advice for renters and high-rise residents.
Author: Assistant
Category: preparedness | Model: gpt-4o
For cities with multiple stations, propose how to choose the best departure/arrival station based on last-mile access, reliability, and pricing. Include a checklist for Europe/Asia/USA contexts.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Give patterns for weekend trips: depart/return timing, modes to prefer, and how to avoid peak commuter pricing. Include region-specific notes for Europe/Asia/USA.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a post-trip debrief template: what worked, what failed, best value splurges, budget leaks, route improvements, and gear changes. Output a reusable checklist.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Analyze whether a cruise or repositioning cruise can be used as transportation between regions. Include cost per night, route timing, port logistics, visa considerations, and comparison with flights/t...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a door-to-door comparison method for high-speed rail vs flying: time, cost, comfort, reliability, and location of stations/airports. Output a decision rule by trip length.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide guidance on choosing departure days/times to reduce cost and crowding for bus, train, and flights. Include patterns for business routes vs leisure routes and how to test in search tools.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a power outage readiness guide: lighting, charging, food safety, temperature management, and a device priority plan. Include region-specific considerations and a ‘no-buy’ low-cost approach.
Author: Assistant
Category: preparedness | Model: gpt-4o
Create a prioritization rubric for assigning coverage: public impact, novelty, proximity, evidence strength, audience relevance, and resource cost. Output a daily standup agenda and decision log forma...
Author: Assistant
Category: news-ops | Model: gpt-4o
Give practical heuristics for booking windows for bus/air/train in Asia, Europe, and USA. Include caveats: holidays, events, low-cost carriers, and last-minute deals. Keep it actionable.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a sleeper train strategy: berth class selection, privacy, luggage security, sleep quality, arrival timing, and cost compared with hotels. Include advice for solo, couple, and family travelers.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a tire strategy for cars, motorcycles, or bicycles based on surface, load, weather, speed, and ride goals. Include pressure tuning, wear reading, heat signs, casing choice, and replacement crit...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Audit hidden costs in my itinerary: baggage, seat fees, station transfers, visas, port taxes, resort fees, data plans, tips, and currency conversion. Output a true-cost estimate.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a workshop workflow improvement plan: intake, inspection, diagnosis, parts ordering, repair, QC, customer handoff, and follow-up. Include bottleneck metrics and templates.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a motorcycle ergonomics guide: bar position, seat height, peg placement, wind protection, vibration, reach, and long-distance comfort tradeoffs.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a fixed-point methodology: range analysis, quantization noise, saturation/rounding policy, and unit tests against a floating reference. Provide a plan to minimize bits while meeting accuracy.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a cost-aware planner: assigns budgets to reasoning steps and tool calls, uses early exits, and escalates only when needed. Include a cost model and guardrails.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a premium cabin value calculator: sleep hours gained, work hours preserved, baggage allowance, lounge access, connection risk reduction, and cash vs miles cost.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create an overnight travel strategy: picking routes, sleep setup, security basics, and arrival timing. Include how to value a night saved from hotel cost vs fatigue.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Design a router that picks which agent to run: intent classification, complexity estimation, and cost/latency budgets. Include fallback logic and confidence thresholds.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a budget-friendly preparedness plan with tiers: under $50 and under $100. Prioritize high-impact items and include a step-by-step buying order to spread costs over time.
Author: Assistant
Category: preparedness | Model: gpt-4o
Create a low-cost carrier strategy: fare rules, baggage sizing, seat selection, boarding, airports, and schedule reliability. Include when LCCs are not worth it.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Provide a last-minute booking approach: how to search quickly, when to accept higher cost, and how to prioritize reliability. Include mode-specific advice for bus/air/train and region notes.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Build a route tradeoff matrix for my trip: cheapest, fastest, most comfortable, most scenic, and most resilient. Include hidden costs, transfer stress, and upgrade points where luxury actually improve...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Provide a decision guide for travel insurance: trip cost, cancellation risk, medical coverage, and baggage. Keep it general (not legal advice) and include scenarios where it’s not worth buying.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a model selection strategy: route tasks by complexity, use smaller models for substeps, and add verifier checks. Include quality/cost tradeoffs and metrics.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a decision guide for red-eyes and early flights: sleep cost, transit availability, missed-connection risk, and productivity. Include a checklist for making red-eyes tolerable.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Define SLIs/SLOs for agents: task success, tool failure rates, safety violations, latency, and cost. Provide a dashboard layout and alert thresholds.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Propose a model routing architecture (‘model mesh’): task-based routing, fallback policies, confidence thresholds, and cost controls. Include an observability plan for routing quality.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Compare building vs renting an AI supercomputing platform: capacity planning, capex/opex, utilization, networking, storage, and governance. Provide a 3-scenario cost curve and decision criteria.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Create a moat analysis: data network effects, workflow embedding, switching costs, and compliance advantage. Provide 10 defensibility tests and a 12-month moat-building plan.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Build a P&L-style ROI model for deploying agents as digital workers: labor displacement vs augmentation, quality risk, error cost, cycle time reduction, and governance overhead. Provide a template wit...
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Create an eval-first LLMOps design: golden sets, adversarial tests, continuous regression, cost/latency tracking, and release gates. Include a ‘model change control’ policy.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Define north-star metrics for AI in 2026: time-to-decision, cost-per-outcome, error-rate under policy, trust score, and automation rate with human satisfaction. Provide instrumentation plan.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Draft a business case for training/fine-tuning a DSLM: scope, data sources, compliance, expected accuracy lift, cost model vs general LLMs, and rollout phases. Include evaluation and drift monitoring.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Draft a 2026 cost engineering playbook: caching, quantization, distillation, batching, and SLA tiers. Provide a KPI dashboard linking cost per task to business outcomes.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Plan a ‘little luxuries’ evening at home: bath/tea/reading/music. Provide a menu of low-cost upgrades and a calming script to guide the night.
Author: Assistant
Category: wellbeing | Model: gpt-4o
Create a 12-month micro-adventure calendar for a couple or friend group: one low-cost outing per month, with themes and booking reminders.
Author: Assistant
Category: planning | Model: gpt-4o
Analyze current and future competitive moats: product, data, brand, switching costs.
Author: Assistant
Category: strategy | Model: gpt-4o
Explain inverted vs vector vs hybrid index structures. Build a cost/latency model with dataset size from 10K→10M and propose sharding strategy.
Author: Assistant
Category: systems-design-IR | Model: gpt-4o
Weekly roundup of ASEAN data/AI/platform rules; provide a region heatmap and two enterprise case studies (compliance costs, launch delays).
Author: Assistant
Category: regulatory-weekly-SEA-tech | Model: gpt-4o
Audit power quality in Sagamihara (harmonics, dips). Recommend filters, UPS for PLCs, and surge protection. Provide downtime cost impact model.
Author: Assistant
Category: electrical-reliability-plant | Model: gpt-4o
Specify a training stack with SFT on curated data, preference optimization (DPO/ORPO), and optional RLHF. Include reward hacking tests, guardrails, and evals that predict production behavior.
Author: Assistant
Category: training-pipeline-LLM | Model: gpt-4o
Connect farm policy, weather shocks, fertilizer/energy costs to EU food CPI. Provide map of protest hotspots and grocer margin angles.
Author: Assistant
Category: consumer-econ-coverage-EU | Model: gpt-4o
Engineer prompt prefix trees and semantic caches to cut latency/cost for recurring tasks. Provide hit-rate models and invalidation policy.
Author: Assistant
Category: infra-efficiency-LLM | Model: gpt-4o
Optimize steam in a Duque de Caxias pulp/paper line: condensate recovery, trap audits, and boiler O2 trim. Calculate fuel savings and ROI.
Author: Assistant
Category: utilities-optimization | Model: gpt-4o
Plan an optimization pass: Triton/CUDA kernels, fused ops, tensor parallel chunking, and activation checkpointing. Provide profiling snapshots and gains.
Author: Assistant
Category: systems-acceleration-LLM | Model: gpt-4o
Create 15 snackable posts (≤15s) optimized for transit viewers (JA). Include subtitles, no-audio-first, and station geo-tags. Target ≥70% predicted engagement.
Author: Assistant
Category: microcontent-transit-JP | Model: gpt-4o
Implement per-tenant and per-feature budgets: rate limits, max prompt length, and fallback models. Provide business rules and alerts to prevent runaway spend.
Author: Assistant
Category: finops-LLM | Model: gpt-4o
Propose an implementation of speculative decoding with a 1–3B drafter and 13–34B target. Define acceptance criteria, throughput gains vs quality loss, token-level metrics, and failure fallbacks; inclu...
Author: Assistant
Category: inference-acceleration | Model: gpt-4o
As a principal ML engineer, draft a production inference playbook for 7B–70B models: batching, dynamic padding, KV-cache reuse, paged attention, prefix-caching, and request shaping. Include SLO tiers,...
Author: Assistant
Category: inference-optimization | Model: gpt-4o
For a Sagamihara metalworking SME, draft a 90-day digital roadmap: barcode WIP tracking, simple MES, maintenance logs, and power monitoring. Include cost bands, vendor shortlist, and a pilot success c...
Author: Assistant
Category: industry-4.0 | Model: gpt-4o
Design a micro-webinar series (20 minutes) for Minato execs. Include invite copy, calendar hold, speaker brief, and follow-up snippets. Optimize slot (08:10 JST) and promise-value framing to model ≥70...
Author: Assistant
Category: event-growth | Model: gpt-4o
Propose a lean re-layout for a Belo Horizonte industrial warehouse. Use spaghetti diagrams to reduce travel, set pick-path rules, add ABC zoning, and design a Kanban replenishment loop. Provide expect...
Author: Assistant
Category: intralogistics-optimization | Model: gpt-4o
Draft a BOM cost model for Suginami prototypes: make/buy split, MOQ effects, duty/shipping. Provide a price-down plan and supplier RFQ template.
Author: Assistant
Category: cost-engineering-NPI | Model: gpt-4o
Create a min-max policy for critical spares in Belo Horizonte. ABC rank, lead time buffers, consignment options, and stock-out risk modeling.
Author: Assistant
Category: MRO-inventory-optimization | Model: gpt-4o
Plan a polymer AM pilot in Sagamihara: part selection (jigs), print profiles, post-process, and cost model vs machined fixtures. Provide a gate review template.
Author: Assistant
Category: advanced-manufacturing-AM | Model: gpt-4o
Design a tool-use curriculum: function signatures, schema discovery, tool reliability scoring, and retry/backoff policy. Include sandboxing and cost guards.
Author: Assistant
Category: agents-tooluse-LLM | Model: gpt-4o
Track multilateral/bilateral funding for rail/ports/power. Provide country scorecards, cost inflation risks, and local tender calendars.
Author: Assistant
Category: infrastructure-finance-SEA | Model: gpt-4o
Have ChatGPT template Terraform/Pulumi modules, Cursor generate CI pipelines for plan/apply, and Antigravity agents stand up preview environments per PR. Include drift detection and cost guardrails.
Author: Assistant
Category: platform-engineering | Model: gpt-4o
Propose a router that routes by budget and SLA: small model for recall, larger for synthesis, tools only when signal warrants. Provide policy examples and guardrails.
Author: Assistant
Category: performance-economics | Model: gpt-4o
Quantify switching costs over a week. Propose batching, single-task sprints, and notification rules. Output a before/after time-saved estimate.
Author: Assistant
Category: time-management | Model: gpt-4o
Propose a 5% mass reduction through materials and topology optimization. Include cost delta caps, supplier readiness, and corrosion strategy. Output a part-by-part plan.
Author: Assistant
Category: value-engineering-auto | Model: gpt-4o
Create a sustainability plan: recycled stocks, soy inks, carbon reporting, CDN optimization, and archive longevity. Provide metrics and vendor questionnaire.
Author: Assistant
Category: sustainability-publishing | Model: gpt-4o
ChatGPT proposes caching/connection pool/async patterns; Cursor wires benchmark harness; Antigravity runs comparative tests and recommends configs per environment.
Author: Assistant
Category: backend-optimization | Model: gpt-4o
Map sources of advantage (network, cost, brand, switching). Rate durability and identify erosion signals. Output a watchlist checklist.
Author: Assistant
Category: investing-strategy | Model: gpt-4o
Have ChatGPT propose pipeline concurrency, caching, and test sharding; Cursor edits YAML/pipelines; Antigravity times stages and suggests cache keys. Output a before/after chart.
Author: Assistant
Category: pipeline-engineering | Model: gpt-4o
ChatGPT sets cost KPIs and alerts; Cursor instruments usage/cost tags; Antigravity correlates deploys to spend and suggests optimizations. Provide a monthly FinOps review.
Author: Assistant
Category: cost-optimization | Model: gpt-4o
Model how competitors react to swings in protein, dairy, packaging, or chips silicon costs. Propose hedges and menu or spec switches that preserve margin.
Author: Assistant
Category: cost-management | Model: GPT-5.1
Analyze food competitors across QSR and fast casual: contribution margin by item, LTO cadence, and upsell ladders. Output a 10-point menu optimization plan.
Author: Assistant
Category: menu-optimization | Model: GPT-5.1
For a target capability, score build vs buy vs partner across speed, cost, risk, and learning value. Output a decision memo with thresholds and kill criteria.
Author: Assistant
Category: strategy-tooling | Model: gpt-4o
Map intake to signature to renewal, with SLAs and redline patterns. Suggest fallback clauses and playbooks. Output a time to close reduction plan.
Author: Assistant
Category: rev-ops-legal | Model: gpt-4o
Compare release windows and monetization ladders of rival studios or platforms. Model revenue curves and churn effects. Recommend optimal windowing for our slate.
Author: Assistant
Category: distribution-strategy-film | Model: GPT-5.1
Model architecture choices as options with volatility and expiry. Compare cost to switch later vs now. Output a decision memo and triggers.
Author: Assistant
Category: architectural-decisioning | Model: gpt-4o
Create a shadow profit and loss for partner motions including enablement and support costs. Output ROI thresholds and accountability model.
Author: Assistant
Category: finance-for-BD | Model: gpt-4o
Benchmark kitchen line design, make times, and delivery surge handling of food rivals. Propose layout or prep changes to raise peak-hour throughput safely.
Author: Assistant
Category: ops-optimization-food | Model: GPT-5.1
For a target device, outline a hypothetical BOM vs competitors. Flag single-source components, lead times, currency risk, and substitution options. Output a risk heatmap and mitigation plan.
Author: Assistant
Category: supply-risk | Model: GPT-5.1
Create a balanced portfolio of growth and efficiency experiments. Classify by risk and time to impact, set guardrails, and schedule 6 concurrent tests. Output a dashboard spec.
Author: Assistant
Category: growth-ops | Model: gpt-4o
Produce a unit economics model: COGS/BOM, cloud cost per user, CAC/LTV by region, and budget guardrails with variance alerts.
Author: Assistant
Category: financial-planning-ops | Model: gpt-4o
Provide vendor scorecards for agencies/factories/cloud: quality, cost, delivery, responsiveness, and security. Include escalation ladders.
Author: Assistant
Category: vendor-management | Model: gpt-4o
Define an RMA process: intake, triage, FA loop, 8D template, and cost recovery. Include US depot vs TW lab routing and customer comms templates.
Author: Assistant
Category: post-market-quality | Model: gpt-4o
Outline tax/logistics basics: US state sales tax handling, Taiwan import/VAT, Incoterms selection, and last-mile options. Provide cost model template.
Author: Assistant
Category: rev-ops-logistics | Model: gpt-4o
Given origin, destination, and dates, compare door-to-door time and cost for budget airlines vs high-speed rail in Europe and Asia. Include airport transfers, security time, and baggage fees.
Author: Assistant
Category: transport-optimizer | Model: gpt-4o
Act as a rail strategist. Given trip length, cities, and pace, compare European passes with major Asian regional passes. Output a table of costs, seat reservation needs, pros and cons, and a sample it...
Author: Assistant
Category: travel-planning | Model: gpt-4o
Generate a pack audit: categorize big three and sm/consumables, suggest proven weight swaps with cost/benefit and risk notes.
Author: Assistant
Category: gear-optimization | Model: gpt-4o
Design a carry-on packing system with personal-item optimization, liquids hacks, and security-line choreography. Include sample manifests for city-hopping.
Author: Assistant
Category: packing-masterclass | Model: gpt-4o
Provide sample per-diem budgets for budget, mid, and premium travel in Europe and Asia. Include transport, meals, attractions, and a treat line.
Author: Assistant
Category: money-planning | Model: gpt-4o
Given attractions and stay length, compute break-even for city passes vs pay-as-you-go. Include skip-the-line and transit value assumptions. Output a yes or no verdict with reasoning.
Author: Assistant
Category: budget-optimizer | Model: gpt-4o
Act as a trip optimizer. Compare JR Pass vs JR East/West/Kansai/Hokuriku passes and private passes (Kansai Thru Pass). Given a sample route set, output cost break-even, seat reservation notes, and rec...
Author: Assistant
Category: transport | Model: gpt-4o
You are a budget planner. Provide sample daily budgets (budget/mid/premium) for each city with transport, meals, attractions, and one “treat yourself” item. Add money-saving swaps.
Author: Assistant
Category: budgeting | Model: gpt-4o
Act as a growth analyst. Build a simple model for swag: unit cost, lift on dwell time, scan rate, post-show conversion. Include “earned media” proxy and rules to qualify before gifting.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a PMO. Produce an AAR template: objective vs results, pipeline lift, win stories, misses, cost variance, and actions with owners and dates. Include a 30-minute exec debrief agenda.
Author: Assistant
Category: trade-show | Model: gpt-4o
Act as a health services researcher. Design a mixed-methods evaluation: access/quality metrics, cost analysis, patient-reported outcomes, and equity lens. Include a difference-in-differences plan.
Author: Assistant
Category: health-services-research | Model: gpt-5
You are a finance partner. Provide a cost model: booth, travel, labor, collateral, events. Add actuals capture, variance explanations, and ROI tie-backs to pipeline and coverage.
Author: Assistant
Category: trade-show | Model: gpt-4o
Act as a travel optimizer. Build an everyday-carry list for train executives: cables, battery, privacy screen, wipes, pen, cards, and backup connectivity. Provide a quarterly audit list.
Author: Assistant
Category: operations | Model: gpt-5
Act as an executive coach. Design a 15-minute morning planning ritual for commuters: clarify top 3 outcomes, timebox tasks, choose a focus theme, and set two 'if delayed then' contingencies. Return a ...
Author: Assistant
Category: productivity | Model: gpt-5
You are a cost-savvy planner. Create a generic planner to compare commute fare options and passes, factoring frequency, peak/off-peak, and occasional trips. Output a simple calculator framework and re...
Author: Assistant
Category: finance | Model: gpt-5
You are a sleep coach. Provide a pre-commute routine for early rides: light management, caffeine timing, power nap protocol, and recovery plan. Include a checklist.
Author: Assistant
Category: wellness | Model: gpt-5
Act as a measurement lead. Define a dashboard: earned reach, share of voice, sentiment, referral traffic, lead quality, and cost equivalents. Include UTM scheme and monthly review agenda.
Author: Assistant
Category: PR | Model: gpt-4o
You are a film mentor. Compare 35mm vs medium format, color vs B/W, metering, pushing/pulling, home development basics, and scanning tips. Include cost planning and lab notes.
Author: Assistant
Category: photography | Model: gpt-4o
You are a newsroom editor. Outline a modern newsroom: article taxonomy, media kit, search-optimized posts, schema markup, RSS/email hooks, and governance. Include a migration plan.
Author: Assistant
Category: PR | Model: gpt-4o
Act as a reputation manager. Draft a plan for industry review sites: profile optimization, ethical review asks, response standards, escalation, and monthly reporting to CRM.
Author: Assistant
Category: PR | Model: gpt-4o
You are a GPU coach. Design a 4-week CUDA plan covering memory hierarchy, warps, occupancy, shared memory tiling, and profiling. Provide two kernels to optimize and a grading rubric for speedups.
Author: Assistant
Category: engineering | Model: gpt-4o
Develop a DFT plan: scan compression goals, LBIST architecture, MBIST algorithms for SRAM/ROM, boundary scan, JTAG access, test time/cost model, and fault coverage targets. Provide patterns and bring-...
Author: Assistant
Category: chip-design | Model: gpt-4
You are a mechanical design lead. For a plastic enclosure (150×90×40 mm) made by injection molding at 5k units, produce a DFM checklist and cost-down plan: parting lines, draft angles, wall thickness,...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Act as a CFO-minded CTO. Build a simple unit economics and runway model: COGS, gross margin, CAC, LTV, payback, hiring plan, cloud costs, and 3 scenarios (base, upside, downside). Return a small table...
Author: tsubasa
Category: leadership | Model: gpt-4o
Propose a chiplet SoC using UCIe 1.1 over 2.5D interposer: partitioning rationale, die-to-die bandwidth/latency budget, PHY choices, protocol mapping, cache-coherency options, test strategy, and yield...
Author: Assistant
Category: chip-design | Model: gpt-4
You are a sourcing engineer. Build a BOM table with cost roll-up, approved alternates, MOQ/lead time, and lifecycle risk (NRND/EOL). Recommend cost-down opportunities and dual-sourcing strategy.
Author: tsubasa
Category: mechanical | Model: gpt-4o
Create a power integrity plan using backside power delivery and buried power rails. Include PDN topology, stripe pitch, via stacking, decap budgeting, vectorless vs vector-based IR analysis, EM rules,...
Author: Assistant
Category: chip-design | Model: gpt-4
You are a mechanical cost engineer. For a machined aluminum bracket, propose design-to-value changes: feature simplification, tolerances, toolpath optimization, surface finish trade-offs, and batch st...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Act as a platform owner. Create cloud cost guardrails: budgets, alerts, tagging policy, autoscaling defaults, storage lifecycle rules, reserved/savings plan strategy, and a monthly FinOps review check...
Author: tsubasa
Category: engineering | Model: gpt-4o
Act as a principal engineer. Create a tech-debt register with severity, blast radius, compounding cost, and paydown roadmap aligned to OKRs. Include a policy for allocating 15–20% capacity to debt red...
Author: tsubasa
Category: engineering | Model: gpt-4o
Propose a co-design flow with package, board, and die PDN: bump map optimization, RDL planning, target impedance vs frequency, thermal stack-up, and coupled SI/PI/thermal simulations. Include signoff ...
Author: Assistant
Category: chip-design | Model: gpt-4
You are a mechanical lead. Compare SLA, SLS, MJF, FDM, CNC for a functional prototype: tolerances, surface finish, strength, lead time, cost, post-processing. Recommend path to EVT/DVT with gate crite...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Develop a growth-hack focused on localized pricing and freemium strategies for Asian markets. Recommend pricing bands, currency options, trial durations, payment methods, messaging per country, expect...
Author: Assistant
Category: growth-hack | Model: gpt-4
Create a growth hack plan using SMS and LINE for acquiring users in Southeast Asian cities. Recommend segmentation strategies, copy templates (EN and Thai/Indonesian where relevant), timing, delivery ...
Author: Assistant
Category: growth-hack | Model: gpt-4
Propose a referral-credit system for two-sided US marketplaces (buyers and sellers). Cover incentive design, fraud prevention, email/SMS templates, metrics to monitor (activation, retention), and expe...
Author: Assistant
Category: growth-hack | Model: gpt-4
Design a growth-hack blending paid social acquisition with a product-led onboarding funnel for US startups. Include channel mix recommendations (Meta, TikTok, LinkedIn), creative hooks, onboarding mic...
Author: Assistant
Category: growth-hack | Model: gpt-4
Outline a partnership-driven growth hack for entering Asian markets via local marketplaces (e.g., Tokopedia, Shopee, Lazada). Provide tactics for co-promotions, discount mechanics, onboarding merchant...
Author: Assistant
Category: growth-hack | Model: gpt-4
Give detailed steps on:Urban Crime Trends in US Cities: Data-Driven Local Reporting
Author: carol
Category: ops | Model: gpt-4o
Create an engineer's guidebook for CUDA kernel optimizations for attention
Author: bob
Category: research | Model: gpt-4o-mini
Give information that is useful to software enginners: GPU memory optimization for LLM fine-tuning
Author: alice
Category: engineering | Model: gpt-4o
Create a bond analyzer outline in New York for prime brokerage margin and financing costs. Include curve build, spread measures, carry/roll, and risk buckets. Return a minimal SQL view and a report te...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write a backtest spec in London for SONIA-linked swaps collateral and discounting. Describe data splits, leakage prevention, transaction costs, and benchmark selection. Return a JSONL of test cases an...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a best execution policy in New York tuned to NY DFS cybersecurity program for a broker-dealer (illustrative). Include venues, routing, cost/likelihood factors, and monitoring. Return a policy o...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a best execution policy in Geneva tuned to philanthropy and donor-advised fund policies. Include venues, routing, cost/likelihood factors, and monitoring. Return a policy outline and monthly re...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write a backtest spec in New York for options market-making risk guardrails (illustrative). Describe data splits, leakage prevention, transaction costs, and benchmark selection. Return a JSONL of test...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
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.
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
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 stopp...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
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 minim...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
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.
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
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-optimiz...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
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...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
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 i...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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 trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
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.
Author: Inspire Search Corp.
Category: Planning | Model: gpt-5-thinking
List 100 hook → CTA pairings optimized for follows, saves, comments, and clicks. Group by platform and objective.
Author: Inspire Search Corp.
Category: Copywriting | Model: gpt-5-thinking
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}. Outpu...
Author: Tsubasa Kato
Category: Influencer Growth | Model: gpt-5
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 confi...
Author: Prompt Generator
Category: TechGuides | Model: llama3.1:latest
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.
Author: Prompt Generator
Category: Tech/Engineering | Model: llama3.1:latest
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.
Author: Prompt Generator
Category: GenAI Prompts | Model: llama3.1:latest
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...
Author: Prompt Generator
Category: Industrial Automation | Model: llama3.1:latest
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. Pr...
Author: Prompt Generator
Category: AI Development | Model: llama3.1:latest
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 lat...
Author: Prompt Generator
Category: Robotics/AI | Model: llama3.1:latest
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.
Author: Prompt Generator
Category: GenAI for Industry | Model: llama3.1:latest
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.
Author: Prompt Generator
Category: Robotics Engineering | Model: llama3.1:latest
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 ...
Author: Prompt Generator
Category: Robotics & AI | Model: llama3.1:latest
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 alg...
Author: Prompt Generator
Category: Supercomputing | Model: llama3.1:latest
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.
Author: Prompt Generator
Category: Supercomputing | Model: llama3.1:latest
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.
Author: Prompt Generator
Category: HPC Optimization | Model: llama3.1:latest
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 ...
Author: Prompt Generator
Category: Supercomputing | Model: llama3.1:latest
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 requi...
Author: Prompt Generator
Category: Supercomputing & AI | Model: llama3.1:latest
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.
Author: ChatGPT
Category: Decision-Making | Model: gpt-5
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 roll...
Author: Tsubasa Kato
Category: performance | Model: gpt-5-thinking
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...
Author: Tsubasa Kato
Category: devops | Model: gpt-5-thinking
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 t...
Author: Tsubasa Kato
Category: mlops | Model: gpt-5-thinking
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 pl...
Author: Tsubasa Kato
Category: sourcing | Model: gpt-5-thinking
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...
Author: Tsubasa Kato
Category: marketing-tiktok | Model: gpt-5-thinking
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. Ad...
Author: Tsubasa Kato
Category: marketing-youtube | Model: gpt-5-thinking
Describe a method to optimize the following quantum circuit: H-QFT-H on 4 qubits, minimizing T-count and maximizing entanglement.
Author: Prompt Generator
Category: Quantum Computing Challenges | Model: llama3.1:latest
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.
Author: Prompt Generator
Category: Quantum Engineering | Model: llama3.1:latest
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 m...
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
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 iden...
Author: Prompt Generator
Category: Quantum Computing Engineering | Model: llama3.1:latest
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: * Resourc...
Author: Prompt Generator
Category: Quantum Computing Challenge | Model: llama3.1:latest
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 co...
Author: ChatGPT
Category: CEO | Model: GPT-5 Thinking
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. Out...
Author: ChatGPT
Category: CTO | Model: GPT-5 Thinking
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 obser...
Author: ChatGPT
Category: CTO | Model: GPT-5 Thinking
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 swi...
Author: ChatGPT
Category: CFO | Model: GPT-5 Thinking
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%...
Author: ChatGPT
Category: Macro | Model: GPT-5 Thinking
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 an...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
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 ↓. ...
Author: Tsubasa Kato
Category: Compliance | Model: GPT-5 Thinking
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 up...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
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. Outp...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
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 r...
Author: Tsubasa Kato
Category: Engineering | Model: GPT-5 Thinking
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, W...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
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. Outp...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
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. O...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
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...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
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 (s...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
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,...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
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...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
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 ...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
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/ho...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
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, an...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
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 aftersho...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
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...
Author: Prompt Generator
Category: Sci-Fi | Model: GPT-5, GPT-4o, Claude, Sora
Suggest hybrid quantum-classical approaches to optimize search ranking or graph traversal in large datasets.
Author: [email protected]
Category: Research & Innovation | Model: GPT-5, GPT-4o, Sonar
Generate a DevOps pipeline configuration optimized for cross-regional deployment in USA, Europe, and Asia, balancing latency, cost, and compliance.
Author: [email protected]
Category: Infrastructure Engineering | Model: Claude 3.5 Sonnet, GPT-5
You are a senior AI debugger. Analyze this stack trace and source code, identify root causes, and propose optimized fixes with code snippets.
Author: [email protected]
Category: Software Development | Model: GPT-5
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.
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
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 action...
Author: Tsubasa Kato
Category: Marketing | Model: gpt-5
Check past 48h for disruptions affecting {{component}} across {{region_list}} (ports, strikes, weather, geopolitics). Summarize: severity, lead-time impact, alt suppliers/lanes, cost delta, recommende...
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
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 advan...
Author: [email protected]
Category: image editing, Photoshop, image, picture | Model: GPT-5, GPT-4o, Sonar
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.
Author: ChatGPT
Category: business | Model: gpt-5
Outline when and how to use BNPL at checkout in EU/US/JP contexts. Provide eligibility logic, messaging tests, and risk monitoring KPIs.
Author: ChatGPT
Category: business | Model: gpt-5
Create a Rakuten store optimization plan: storefront modules, couponing strategy, search keywords, RPP ads structure, and review generation. Include weekly ops checklists.
Author: ChatGPT
Category: business | Model: gpt-5
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.
Author: ChatGPT
Category: film | Model: gpt-5
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.
Author: ChatGPT
Category: business | Model: gpt-5
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) contrib...
Author: [email protected]
Category: SEO, ROI, Executive, CMO, CFO, financial, framework, paid acquisition, brand equity growth | Model: GPT-4o, GPT-5
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 (br...
Author: [email protected]
Category: SEO, business, business strategy | Model: GPT-4o, GPT-5
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 t...
Author: [email protected]
Category: Trip, flight, airplane | Model: GPT-4o, GPT-4, o4-mini, o4-mini-high, o3
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...
Author: [email protected]
Category: Programming, work | Model: GPT-4o, o4-mini, o4-mini-high, o1, o3
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, th...
Author: [email protected]
Category: story,story plot,Mars,space,science fiction | Model: GPT-4o,o3-mini,o1
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 amo...
Author: [email protected]
Category: story, prompt,story prompt, hobby | Model: GPT-4o,o3-mini,o1
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...
Author: [email protected]
Category: analytics, website traffic, Google Analytics | Model: GPT-4o, o3-mini, o3-mini-high, o1
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.
Author: [email protected]
Category: NLP, Google Analytics, strategy | Model: GPT-4o, GPT-4, o3-mini, o1
Use natural language generation (NLG) models to create engaging and informative content around the identified keywords, ensuring it is unique and optimized for SEO.
Author: [email protected]
Category: NLG, content generation, SEO | Model: GPT-4o, GPT-4, o3-mini, o1
Act as a pro senior software engineer. Please review the following code, identify potential issues, suggest optimizations, and recommend performance improvements:
Author: [email protected]
Category: Job title | Model:
Take on the role of a supply chain manager. Explain strategies to optimize inventory management in a retail business.
Author: [email protected]
Category: NLP,manager,management | Model: GPT-4o,o3-mini,o3-mini-high
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 pro...
Author: Admin
Category: Focus Enhancement | Model: o1 Pro
Help me streamline queries to get precise answers quickly.
Author: Community
Category: Beginner's Tips | Model: GPT-4
I’ve seen references to “tokens”—how do they affect usage or costs?
Author: Community
Category: Technical Basics | Model: GPT-4