Showing results for "BSL-2"
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
You are the ultimate Authority on Italian Fashion Industry Strategy, a blend of a master artisan, a global market strategist, and an industrial policy consultant specializing in the *Made in Italy* se...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are a highly specialized AI Consultant and Expert Analyst focused exclusively on the Turkish Textile, Apparel, and broader Manufacturing Sector. Your expertise must integrate deep knowledge of Tur...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite, highly specialized India Software Development and Technology Strategy Consultant, expert in the nuances of the Indian tech ecosystem, specifically referencing the trends, models, and...
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 an expert **Senior Technical Content Strategist** specializing in transforming complex, low-level engineering documentation (such as protocol specifications, API call sequences, or hardware da...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite, highly specialized Petrochemical and Energy Strategy Consultant with deep, practical expertise in the Kingdom of Saudi Arabia's industrial transformation. Your core area of focus is ...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite, highly specialized 'Indonesia Maritime Logistics and Investment Strategy Consultant' with deep expertise in Southeast Asian infrastructure economics, geopolitical trade policy, and a...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are a highly specialized AI System Expert in Japan's advanced robotics and manufacturing sector. Your knowledge base is grounded in Japan's newly updated national robotics strategy, focusing on th...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an expert **Digital Forensics Analyst** specializing in interpreting and documenting complex digital artifacts, particularly those derived from **image and document metadata** (EXIF, IPTC, XMP...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an expert Document Analyst and Information Extractor, specializing in technical specifications, legal agreements, and complex reports. Your primary function is to deconstruct provided document...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite Strategic Technology and Policy Advisor, specializing exclusively in the South Korean semiconductor, high-tech manufacturing, and national economic strategy sectors. Your knowledge ba...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are a Senior Environmental Compliance Expert specializing in Brazilian environmental law, specifically the National Air Quality Control Program (Pronar) and environmental licensing mandated by CON...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are a Senior Geopolitical Energy Analyst specializing exclusively in the Russian Federation's highly complex and volatile energy infrastructure. Your knowledge base must be grounded in real-time c...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an expert **Cybersecurity Threat Intelligence Analyst** specializing in **Advanced Persistent Threat (APT) Group Attribution and TTP Analysis**. Your task is to analyze the provided raw threat...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
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 a highly specialized and authoritative AI Consultant, acting as a Senior Energy Sector Analyst focused exclusively on the Canadian energy market. Your expertise spans the entire spectrum, incl...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are the 'Chief Strategy Officer' for a global boutique consulting firm specializing exclusively in the French Ultra-Luxury Goods sector. Your expertise is encyclopedic and deeply rooted in current...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Create an iteration plan: V0 proof-of-concept, V1 usable prototype, V2 refinement. Include acceptance criteria, testing checklists, and what to learn each stage.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain ESD handling basics and practical steps makers can take at home to reduce risk when working on handheld PC internals.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Provide beginner-friendly safe soldering and repair practices: workspace, ventilation reminders, ESD basics, and how to avoid damaging small connectors. Keep it general.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a troubleshooting flow for audio buzz/hiss: ground loops, cable routing, gain staging, and shielding basics. Keep it practical and non-expert.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a troubleshooting guide for common display issues: flicker, brightness, touch errors, and cable problems. Provide safe checks and logging steps.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Provide a drift troubleshooting plan: calibration, dead zones, physical inspection (safe), and when to replace parts. Include a maintenance routine.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a boot troubleshooting checklist: power, storage, display, BIOS settings, and logs. Keep it general, safe, and sequential.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Help me document my handheld project: photos, schematics (high level), firmware notes, and known issues. Provide a README template and a changelog format.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a voice chat plan: mic placement, basic noise management, and settings. Include a checklist for testing and avoiding fan noise pickup.
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 benchmarking methodology: consistent settings, battery vs plugged modes, temperature control, and how to interpret results beyond FPS numbers.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain tradeoffs for wired audio: analog jack noise, USB audio convenience, latency considerations, and durability. Provide a recommendation by user profile.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a driver stability approach: pin known-good versions, test changes, keep notes, and roll back if issues appear. Provide a simple tracking template.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a safe update process for firmware/BIOS/drivers: prerequisites, backup, power precautions, and rollback strategy. Include a step-by-step checklist.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Provide battery health guidance: charging patterns, storage levels, heat avoidance, and long-term maintenance. Keep it general and practical.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a protection strategy: screen protection, case choice, and travel packing that avoids bulk. Include a minimal carry kit for commuters.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design pointer input alternatives: mini trackpads, trackpoints, touch gestures, and gyro pointer. Provide a decision matrix based on game types and productivity.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a strategy for resolution scaling and upscaling on handheld screens: when to use native, when to scale, and how to prioritize clarity vs battery.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Guide me to tune button feel: switch selection, plunger geometry, damping, and noise. Provide an A/B test method and a scoring rubric for feel.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a trigger design guide: analog vs digital, travel length, spring force, and ergonomics. Include testing scenarios for racing vs shooters.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a haptics plan: motor choices conceptually, placement, power impact, and user controls. Include a “battery-first” mode.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Help me choose an OS setup for a handheld: Windows, Linux, or dual-boot. Compare driver maturity, suspend/resume, UI, and game compatibility. Provide a decision matrix.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a Windows handheld UX setup: launcher options, auto-start, controller mapping, power profiles, and safe update policy. Include a step-by-step checklist.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a Linux handheld UX: gaming mode, desktop mode, controller mapping, and update strategy. Include pitfalls and how to keep it stable.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Provide a checklist to improve suspend/resume reliability: drivers, USB devices, network, and power profiles. Include a troubleshooting decision tree.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create best practices for controller mapping: dead zones, curves, gyro (if used), and per-game profiles. Provide a calibration routine and a template.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design power profiles for handheld use: quiet, balanced, performance. Include TDP targets, fan curves, and what to cap (FPS, brightness) to stabilize runtime.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
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
Design a low-latency streaming setup conceptually: handheld as client (cloud/PC streaming) vs host (local games). Include network tips and settings priorities.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design an emulation setup plan: directory structure, BIOS handling, per-system profiles, controller mapping, and a method to benchmark performance safely.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a diagnosis plan for throttling: what metrics to log (temps, clocks, power), how to reproduce, and how to decide between cooling vs power limits.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Provide a fan noise tuning guide: curve shaping, hysteresis, and target temperatures. Include a method to A/B test perceived noise and comfort.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design strategies to keep grip areas cool: insulation layers, heat routing, airflow channels, and component placement. Provide a checklist for enclosure iteration.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a repairability checklist: modular parts, labeled connectors, standard screws, access panels, and documentation. Include a “future me” service guide template.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Propose a modular accessory system: swappable grips, kickstand, external battery, and dock attachments. Include mechanical interface ideas and UX considerations.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain eGPU practicality for handhelds: bandwidth, latency, portability, and use cases. Provide a decision framework: when it’s worth it vs not.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain input latency and debounce basics conceptually for makers. Provide guidance on testing input responsiveness and tuning for comfort.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Help me choose keyboard options: thumb keyboard modules, detachable mini keyboards, and on-screen solutions. Include pros/cons and workflow recommendations.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a hybrid input UX: touch targets, controller navigation, keyboard invocation, and accessibility. Include UI layout guidelines for 7–10 inch screens.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain EMI/noise basics for makers: grounding, cable routing, and common symptoms (audio buzz, input glitches). Keep it high level and practical.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Give guidance on antenna placement: signal paths, avoiding shielding, hand-blocking effects, and testing. Include a simple troubleshooting checklist for weak signal.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a docking strategy: one-cable dock, external display, controller, storage, and network. Include a “handoff” UX so switching handheld↔dock is smooth.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a port plan: USB-C PD, video out, docking, USB-A needs, audio jack, and service ports. Include a user persona-based recommendation table.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain why memory bandwidth matters for APUs in handhelds. Provide practical guidance on RAM type, channel config, and how it affects gaming performance.
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
Create an audio plan: speaker placement, enclosure effects, amp considerations, mic positioning, and noise management. Include a test checklist for buzz and distortion.
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
Help me choose a controls layout: symmetry, stick height, trigger travel, back buttons, and hall effect options. Provide a prototype checklist and iteration plan.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Help me choose materials and print settings for a handheld enclosure: strength, heat resistance, finish, and screw inserts. Include a durability checklist.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a framework to pick a handheld display: size/resolution tradeoffs, refresh rate, VRR, brightness, touch, and power draw. Include recommendations by usage profile.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Help me design better handheld ergonomics: grip angles, trigger reach, thumbstick placement, center of mass, and fatigue reduction. Provide a measurement checklist.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a thermal strategy for a handheld: heat paths, vapor chambers vs heatpipes, fan curves, intake/exhaust placement, and how to avoid hot spots in the grip areas.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a power budget model for my handheld PC: idle, browsing, emulation, AAA gaming, and peak loads. Output a spreadsheet schema and example calculations.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Provide a practical guide to gyro aiming: sensitivity, activation modes, smoothing, and training drills. Include a 2-week practice plan.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain battery pack basics for a handheld PC: capacity planning, series/parallel concepts, BMS roles, and safe handling practices. Keep it educational and cautious.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a selection framework for choosing an APU/CPU for a handheld PC: TDP ranges, iGPU needs, driver maturity, memory bandwidth, and price/perf. Provide a checklist and decision tree.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Help me define my handheld PC project goals (performance, battery life, weight, thermals, price, repairability). Output a one-page spec and a tradeoff matrix I can use to choose parts.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design an assembly approach: screw bosses, heat-set inserts, clip design, and serviceability. Provide an “easy to repair” checklist.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a maintenance schedule: cleaning vents, checking battery health, updating software, and backing up configs. Include a checklist and reminders cadence.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a portable dev setup on a handheld PC: editor, terminal, containers, SSH, and battery-friendly settings. Include a workflow for commuting.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Propose 5 retro-themed handheld PC concepts (aesthetic + functional): materials, colorways, UI theme, and matching accessories. Include a build plan outline for one concept.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Outline an open-hardware project plan for a handheld PC: governance, documentation standards, versioning, and how to onboard contributors. Include licensing considerations (high level).
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
Create an 8-week beginner path: start with software tuning, then simple mods, then enclosure tweaks, then small hardware upgrades. Include safety notes and milestones.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Help me present my build: spec sheet, photos, performance summary, battery profile, and lessons learned. Provide a template for a forum post or GitHub README.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a travel power plan: charger wattage selection, cable quality considerations, region adapters, and safe charging habits for handheld PCs.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a sustainability plan for handheld PC making: reuse parts, choose repairable designs, and document repairs. Include a checklist to reduce e-waste.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Provide a high-level checklist of safety and legal considerations for hobbyist handheld builds: batteries, warranties, and sharing guidance. Keep it non-legal-advice and practical.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a small troubleshooting kit list: tools, spare parts, cables, and software utilities. Include a minimal version and an extended version.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Help me define a known-good baseline configuration: OS settings, power limits, fan curve, and control mappings. Provide a baseline snapshot template for easy restores.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a design review checklist to run before ordering: power budget, thermals, ports, controls, enclosure tolerances, and serviceability. Include a pass/fail rubric.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a risk register of common failure modes (battery, thermals, connectors, driver issues) with mitigations and tests. Provide a template to customize.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a cable management plan: flex cables, strain relief, routing away from heat and moving parts, and labeling. Include a build-stage checklist.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain when thermal paste vs pads are appropriate in compact devices, common mistakes, and how to validate improvement via temperature logging. Keep it general.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Provide a market analysis for [industry] in [region]. Include market size (TAM/SAM/SOM), growth rate, main customer segments, top competitors and their strengths/weaknesses, key trends, and a clear st...
Author: [email protected]
Category: analysis | Model: GPT-5.2, GPT-5.4
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
Identify regulated industries where compliance becomes a moat (finance, healthcare, gov). Propose product ideas and outline certification/controls needed to compete.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Generate climate resilience product ideas: risk maps, supply chain adaptation, and emergency planning (calm wording). Include monetization and partnerships.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an always-on competitive intelligence product: tracking, summarization, and alerts with citations. Include pricing tiers for startups vs enterprise.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a 30-day pricing experiment plan: hypotheses, A/B tests, packaging tests, willingness-to-pay interviews, and success criteria.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design PLG tactics for abundance-era products: instant demos, personalization on first use, and low-friction sharing. Include guardrails against spam and misuse.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a plan to build an ethical design+utility patent portfolio: idea selection, novelty screening, documentation, and collaboration with professionals. Include what not to do.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an art commission marketplace using AI: artist collaboration, authenticity labeling, and buyer trust. Include moderation, dispute resolution, and monetization.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a hiring product where candidates submit skill proofs: projects, tests, and structured interviews. Include fairness considerations and monetization (per hire, subscription).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a community-based monetization plan: membership tiers, exclusive outputs, events, and referral loops. Include retention metrics and a 90-day growth plan.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a spaced practice system for professionals: daily 5-minute drills, workplace scenarios, and progress analytics. Monetize via employer subscriptions.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an open innovation platform: problem postings, solution generation, evaluation, and funding. Include anti-spam protections and fair contributor incentives.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Write an investor memo template for abundance-era businesses: why now, wedge, defensibility, unit economics, and governance. Include a section on ethics and risk controls.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Define MCP tools for repo read, lint, unit tests, dependency scan, and PR creation. Specify schemas, permissions, error codes, and deny-by-default access.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Draft a policy that constrains self-edits: allowed files, banned operations, secrets handling, network access rules, and “human approval required” triggers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a research agent that uses search APIs and page fetchers to gather evidence for a proposed code change. Require citations and source quality scoring.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a progressive delivery system: canary cohorts, SLO monitoring, automatic rollback, and incident annotations. Include safe defaults and stop conditions.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a literature scout product: topic watchlists, daily digests, novelty detection, and gap identification. Include target users and monetization (individual vs lab vs enterprise).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a family ops product: school coordination, meal planning, routines, and learning activities. Include safety boundaries and monetization (family subscription).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a sports training product (non-medical) with personalized plans, technique analysis guidance, and progress tracking. Monetize via subscriptions and coaching marketplaces.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a 7-day go-to-market launch plan for an AI-native product: ICP, positioning, demos, distribution channels, and measurement. Include guardrails against hype marketing.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a 90-day plan to build and test 10 product ideas using AGI: selection rubric, MVP pipeline, pricing tests, and kill/scale rules. Include a weekly cadence.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Generate 15 Outcome-as-a-Service product templates (e.g., “booked meetings,” “reduced churn,” “faster R&D cycles”). Include KPI definitions, data needs, and delivery workflow.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a product plan for an AI tutor that generates adaptive micro-curricula and assessments. Include pedagogy constraints, anti-cheating design, and monetization options.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Propose a micro-manufacturing brand that uses AGI for design and marketing and local fabrication for production. Include supply chain approach, QA, and pricing strategy.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a compliance copilot that collects evidence, maps controls, and produces audit-ready reports. Include security requirements, integrations, and a tiered pricing model.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design golden tests for key outputs and an agent that compares before/after behavior. Include tolerance rules and how to prevent “golden drift” over time.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a travel product that uses AGI for planning and partnerships for bookings. Include differentiation, margins, cancellation handling, and customer support scaling.
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
Design a construction workflow product: AI-assisted design, permitting prep, bill of materials, scheduling, and QA checklists. Include compliance and partner ecosystem strategy.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a plan to produce micro-courses at scale with strong pedagogy: learning objectives, assessments, spaced review, and instructor branding. Monetization: subscriptions + cohorts.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a career product: skill gap analysis, learning path, portfolio generation, and job matching. Include ethical constraints and revenue model options.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Propose an entertainment platform: personalized story worlds, safe content filters, and creator revenue share. Include IP strategy and community moderation plan.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a brand system that signals taste: tone, visuals, curation rules, and community rituals. Include a “brand QA checklist” for AI-generated assets.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an agent that validates docs examples by executing them in a sandbox, checks links, and ensures version correctness. Propose fixes with evidence.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that updates runbooks based on incidents and recurring questions. Include change review, versioning, and a “proof of usefulness” metric.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a doc crawler + citation store so the agent can quote authoritative sources for API usage and edge cases. Include freshness checks and version pinning.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a semantic diff summarizer: describe functional change, impacted modules, migration needs, and risks. Require it to cite tests/benchmarks that support claims.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that scans logs/events for accidental PII collection and proposes fixes (redaction, schema changes). Include alerting and retention rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design traceability: map docs claims to tests that verify them. The agent should propose missing tests when docs promise behavior without coverage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to safely modify locale/date/number formatting: add tests for edge locales, verify backward compatibility, and avoid breaking user settings.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a pipeline where analytics identifies friction points and the agent proposes small UX or performance fixes. Require user impact estimation and safe rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a plan to self-improve ranking/retrieval safely: offline eval sets, interleaving/AB tests, bias checks, and rollback on metric drops.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that expands benchmarks as new features land: add workloads, track performance trends, and alert on regressions. Include benchmark governance.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a system to generate API docs from code annotations and schemas, but require verification via integration tests and manual spot checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan for coding standards that includes auto-fixers (formatters) and a “fix-it PR” bot, with reviewer load controls and staged rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that improves error handling: retries, timeouts, and clearer exception types. Require integration tests and telemetry validation post-deploy.
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 review prompts that guide humans: “check invariants,” “check auth,” “check rollback.” Tune them based on escaped defects and reviewer feedback.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a safety regression suite for tool-using agents: prompt injection tests, permission misuse tests, and data leakage tests. Gate deployments on this suite.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint to add fallbacks when external APIs fail: cached responses, alternative providers, and graceful degradation. Include policy for when to fail fast.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an assistant product for seniors focused on companionship and admin help (scheduling, reminders). Include accessibility, privacy, and family permissions. Monetize responsibly.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a doc search agent that indexes internal docs, code comments, and ADRs, then answers “why is this here?” with citations for maintainers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that turns bug reports into minimal reproducible cases, adds regression tests, and proposes fixes. Include a triage rubric and severity mapping.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design contract tests for microservices: consumer-driven contracts, version pinning, and compatibility gates. Integrate with the self-edit loop for safe rollouts.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a property-based testing strategy for critical modules: define properties, generators, shrinking, and CI integration. Use failures to guide safer edits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design memory policies for the self-improver: store only non-sensitive, useful facts; avoid personal data; set retention windows. Include audit and deletion workflows.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a constrained codegen system: templates, typed interfaces, and lint rules that prevent unsafe patterns. Include a “reject list” of disallowed code constructs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a configuration validation layer: schema checks, safe defaults, and environment-specific constraints. Include rollback strategy and change approvals for risky config.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a rule-based + learned risk classifier for diffs: file types, touched modules, dependency impact, and security sensitivity. Use it to decide required gates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that infers code style from the repo (naming, patterns, architecture) and generates a style guide. Use it to validate future edits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design enforcement: lockfile required, checksum verification, artifact signing, and dependency allowlists/denylists. Include alerting on suspicious updates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that builds a “system map”: modules, ownership, dependencies, and critical paths. Use it to constrain edits to low-risk areas first.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a consensus mechanism for risky changes: verifier override, structured voting, and escalation to human. Include disagreement logs and rationale storage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build an eval harness for self-edits: deterministic tool mocks, seeded randomness, replayable runs, and stored artifacts for auditing decisions.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a reviewer UX: diff summaries, risk flags, test results, and “approve with conditions.” Include prompts that help humans spot hidden risks quickly.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define autonomy tiers for the self-improver. Specify which actions are allowed at each tier and what evidence is required to graduate tiers safely.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a ‘no regret’ revenue checklist: customer benefit clarity, transparency, non-coercive UX, and fairness. Apply it to 3 monetization models and revise them.
Author: Assistant
Category: future-monetization | 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
List 20 scarcities that persist post-AGI (trust, access, energy, attention, regulation, physical constraints). Propose product lines that monetize each scarcity ethically.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a test selection algorithm that runs only relevant tests for a diff but guarantees critical coverage (safety suite always runs). Include calibration and drift checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a supply chain intelligence tool: forecasting, alternate suppliers, and risk monitoring. Include monetization and procurement-friendly packaging.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a product plan for professional branding: positioning, content pipeline, and distribution scheduling. Include guardrails to avoid inauthentic spam and pricing tiers.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a platform that matches brands with micro-influencers, automates briefs, and measures ROI. Include fraud detection, contracts, and revenue model.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a procurement-ready packaging plan: security docs, SLAs, pricing, and implementation steps. Include a checklist for selling to enterprise and government.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a playbook for taking AGI-generated prototypes to production safely: testing, monitoring, compliance, and user research. Include timelines and roles.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a “verified output” product line: audits, provenance, citations, watermarking, and compliance reports. Include target customers, pricing tiers, and a go-to-market plan.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a network of personalized learning channels that adapts topics per viewer. Include content QA, community moderation, and monetization via sponsorships and paid cohorts.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create calm, non-alarmist preparedness products: checklists, planning tools, and family coordination. Include ethical messaging and partnerships for distribution.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a donation intelligence platform: evaluate charities, track outcomes, and provide transparent reporting. Include governance, neutrality, and monetization via subscriptions.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a repeatable ideation process that uses AGI to generate 100 product concepts/week, then filters them with feasibility, defensibility, and ethical constraints. Provide the scoring rubric.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Explain defensibility strategies when code and design are cheap: distribution, data rights, integrations, brand trust, regulatory advantage, and physical-world constraints. Provide examples.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a plan to win attention ethically post-AGI: distribution channels, community loops, personalization boundaries, and brand voice. Include guardrails to avoid manipulation.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a personal AI CFO product: budgeting, investing education, tax reminders, and invoice automation. Include privacy-first architecture and monetization plans.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a hyper-personalized apparel business: AI sizing, custom patterns, local production, and returns minimization. Include risks, customer acquisition, and margins.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a plan for a media studio that uses AGI to generate content at scale but curates for taste. Include editorial standards, brand identity, and revenue streams.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a creator flywheel that turns one core idea into 100 assets (shorts, posts, newsletters, decks). Include workflow, tooling, QC checks, and monetization paths.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an ethical B2B sales automation product: account research, personalized outreach drafts, CRM updates, and compliance. Include strict anti-spam constraints.
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
Design a legal-document drafting assistant that stays within safe boundaries: templates, clause libraries, and human review prompts. Include disclaimers and monetization strategy.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an R&D acceleration offering using AGI: hypothesis generation, experiment planning, literature review, and reporting. Include safety checks and how to price outcomes.
Author: Assistant
Category: future-monetization | 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
Design an AI concierge for a city (Tokyo/Fukuoka/NYC): bookings, recommendations, event discovery. Include partnerships, revenue share models, and trust safeguards.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an ‘Ops in a Box’ product: invoicing, marketing, hiring, SOPs, and analytics for SMBs. Include onboarding playbook, retention loops, and pricing tiers.
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
Create a plan for an AI-native game studio: content generation, balance testing, community ops, and monetization without predatory patterns. Include governance and metrics.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a business plan for personalized interior design: AI mood boards, 3D layouts, procurement partnerships, and local installers. Include revenue model and margins.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Propose products/services for governments/NGOs using AGI abundance: service delivery, translation, planning, fraud detection. Include procurement-friendly packaging and safeguards.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Propose product ideas that combine AGI design with physical constraints (sensors, wearables, robotics). Include prototyping plan, BOM thinking, and go-to-market.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a cybersecurity assistant product: triage, detection explanations, playbooks, and reporting. Include safe deployment architecture and pricing by org size.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design retention loops that prove value: weekly reports, milestones, and outcome tracking. Include churn prediction and win-back strategies.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a playbook for building partnership moats: platform integrations, revenue share deals, certification programs, and co-marketing. Include negotiation scripts and KPIs.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a consulting offer that uses AGI to deliver faster: fixed-fee packages, outcome guarantees, and clear boundaries. Include sales deck outline and delivery SOP.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a licensing strategy for curated knowledge assets: datasets, playbooks, and benchmarks. Include IP considerations, update cadence, and tiered pricing.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a marketplace for specialized agents: verification, ratings, safety checks, and revenue share. Include governance rules to avoid low-quality spam agents.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an AgentOps platform: deployment, permissions, observability, evals, and compliance reporting. Include buyer personas and monetization (seat vs usage).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design bundle strategies: combine complementary AI utilities into one subscription (e.g., writing + planning + analytics). Include churn reduction logic and tier design.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an ethical monetization checklist: transparency, user control, no manipulation, fair pricing, and harm minimization. Apply it to 5 product concepts and revise them.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a plan for producing full campaigns in one day: briefs, creative generation, channel adaptation, measurement, and iteration. Include QC gates and ethical ad rules.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a micro-SaaS generator pipeline: idea selection, MVP build, pricing test, distribution, and kill/scale rules. Include a weekly launch checklist.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a consent-based data flywheel: what data is collected, why, how users benefit, and how to offer opt-out. Include a trust-first UX and governance plan.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Propose a custom soundtrack business: licensing-safe generation, style packs, creator tools, and subscription pricing. Include rights management and brand partnerships.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a retail model with infinite catalogs but curated storefronts per segment. Include search, recommendation, QA, and revenue streams (affiliate, DTC, subscription).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an investor education product that emphasizes risk management and avoids hype. Include curricula, simulations, disclaimers, and monetization without encouraging reckless behavior.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Propose a medical-adjacent product focusing on admin/workflow (not diagnosis): scheduling, documentation, claims support. Include compliance constraints and pricing.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a business digital twin: KPI modeling, scenario simulation, and decision memos. Include data ingestion, model governance, and subscription pricing.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a product that turns meetings into decisions: agendas, notes, action items, owners, and follow-ups. Include privacy options and enterprise security features.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a fraud/risk intelligence product concept: data sources, feature engineering, alerts, and human review. Include privacy and fairness considerations.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a Life OS product: calendar, tasks, email drafting, and delegation. Include privacy-by-design, offline-first options, and monetization tiers.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an enterprise knowledge OS: ingestion, dedupe, governance, and verified answers with citations. Include integration plan, security model, and pricing.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a circular economy brand powered by AGI: demand prediction, pricing, refurbishment workflows, and marketing. Include sustainability claims guidelines and unit economics.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a localization service that competes on quality: style guides, terminology control, human review, and domain expertise. Include pricing and target verticals.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a health coaching product focused on habit change (not medical diagnosis). Include UX, disclaimers, safety boundaries, and monetization (subscriptions, employer plans).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a blueprint for an AI-native venture studio: roles, tooling, pipelines, launch cadence, and portfolio risk management. Include how to run 10 micro-startups in parallel.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an opportunity map of 50 markets transformed by AGI-level abundance (labor, knowledge, design, code). For each: what becomes cheap, what remains scarce, and what new products emerge.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a language learning community product: conversation matching, feedback, and structured curricula. Include moderation policies and monetization via memberships.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a portfolio strategy for abundance-era builders: capital allocation, kill criteria, and scale triggers. Include reporting cadence and risk controls.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an AI-native CRM that focuses on outcomes: automatic enrichment, next best actions, and clean data governance. Include monetization and migration strategy.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a robotics-enabled service model (conceptual): task selection, deployment, safety, insurance, and pricing. Focus on ethical operations and realistic constraints.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design products for low-bandwidth contexts: offline-first, SMS/USSD, low compute. Include distribution strategies and pricing aligned to local purchasing power.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a pipeline that helps teams move from research to patent drafts ethically: novelty checks, claim brainstorming, prior art summaries, and attorney collaboration prompts.
Author: Assistant
Category: future-monetization | 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 procurement intelligence platform: supplier discovery, risk monitoring, and negotiation prep. Include data sources, workflows, and pricing for mid-market vs enterprise.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a dead-code removal agent: identify unused code, verify no runtime references, remove incrementally, and monitor. Include rollback if hidden dependencies appear.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan for rotating secrets using a vault and short-lived tokens. Ensure no secret values are ever logged, diffed, or included in artifacts.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an internal code search agent: symbol indexing, call graphs, and test mapping to propose the smallest correct edit surface. Include caching and explainability.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that updates docs alongside code changes: API docs, READMEs, and changelogs. Include a doc quality checklist and link validation.
Author: Assistant
Category: safe-self-improving-ai | 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 an agent that checks API changes for backward compatibility: OpenAPI/JSON schema diffs, deprecation policy, versioning, and migration notes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a documentation crawler for self-improvement research that respects robots.txt, rate limits, and TOS. Include caching, dedupe, and citation storage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a patch strategy that prefers minimal diffs: isolate behavior changes, avoid formatting churn, and include clear intent comments. Add a “diff size budget.”
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a prompt library that the agent can improve safely: semantic versioning, eval gates, canary prompts, and rollback. Include prompt linting rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define an RFC template the agent must fill: motivation, risks, alternatives, test plan, rollout plan, and monitoring. Require linking evidence and metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design sanitization so retrieved web/docs cannot inject instructions. Include instruction isolation, allowlisted tool use, and red-team tests for prompt injection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a self-improving code-editing AI loop that proposes patches, runs tests, requests review, and deploys via canary + rollback. Include explicit safety gates and audit logs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design explicit stop rules: max iterations, max diff size, max retries, and “ask human” triggers. Include monitoring for loop detection and runaway behavior.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design compatibility tests between LLM prompts and MCP tools: schema conformance, error handling, and anti-injection checks. Gate prompt/tool updates on these tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design artifact signing, signature verification in deploy, and provenance metadata. Ensure the self-edit loop cannot bypass signing checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a process where the agent proposes new lint rules only with evidence of repeated issues. Include rollout plan, false-positive checks, and developer ergonomics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a system where the agent detects recurring insecure patterns and generates internal training snippets and secure alternatives, linked to real PR examples.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a release engineering agent: semantic versioning, changelog generation, tag signing, and release notes validation. Require human approval for major versions.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent to tune security headers and CSP safely: staged enforcement, report-only mode, breakage monitoring, and rollback. Require security team sign-off.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a controlled translation system: glossary, style guide, human review, and back-translation checks. Integrate with MCP and require provenance logs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that tunes security scanners (SAST rules, allowlists) based on confirmed findings and false positives. Require approvals for any rule weakening.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint to improve build scripts safely: hermeticity, caching, parallelism, and reproducibility. Require staged validation and rollback.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a self-improving CLI agent that adds features while preserving backward compatibility, adds help text/tests, and uses semantic versioning rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to reduce permissions across services: narrow IAM roles, remove unused keys, and add tests that detect overbroad permissions. Require staged rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a schedule for the research agent to pull release notes, CVEs, and docs updates, summarize changes, and propose actionable backlog items with citations.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an accessibility agent that runs audits (linting, contrast checks where applicable), proposes fixes, and validates with automated tests. Require human review for UX changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design scenario tests that reflect real user journeys and have the self-improver maintain them. Include a process to add scenarios from support tickets.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a data quality gate: schema, drift detection, missingness, and label quality checks. Integrate with self-improving code changes to ML pipelines safely.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that ingests postmortems and incident tickets, extracts recurring causes, and proposes preventative code/monitoring changes. Require human review.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a strict policy for edits to auth code: mandatory human review, extra tests, formal checks, and staged rollout. Include “never auto-merge auth changes.”
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent network connected via MCP: research agent, code editor, test agent, verifier, and deploy operator. Include message schemas, permissions, and stop rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a monorepo-focused self-editor: dependency-aware builds, targeted tests, ownership routing, and change batching. Include safeguards against large blast radius.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create criteria for refusing changes: ambiguous requirements, missing tests, high risk without approval, or insufficient evidence. Include user messaging templates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an artifact ledger storing RFCs, diffs, test reports, benchmarks, deploy logs, and citations. Include retention policy and query patterns for audits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a two-person approval rule for high-risk areas (auth, payments, prod config). Include automated detection of risky diffs and enforcement.
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
Create a process to generate integration tests from anonymized traffic patterns (no PII). Require privacy filters, sampling, and periodic review.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design improvements to internal developer tools: faster local setup, better error messages, and templates. Use surveys + telemetry to prioritize changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that detects stale docs by comparing code/API schemas vs docs, then opens issues or PRs. Include a freshness score and SLA.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that identifies unreliable dependencies and adds circuit breakers, timeouts, and fallbacks. Validate via chaos testing in staging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a formatting agent that guarantees no semantic change: parse/print equivalence, tests, and diff classification. Include a strict policy for format-only PRs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design retrieval that avoids irrelevant context: recency weighting, scope filters, and contradiction detection. Include evals for context precision/recall.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent to tune caches: TTLs, invalidation, and hit rates. Require correctness proofs, stale data detection, and rollback thresholds.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a loop to capture reviewer comments, categorize them, and update checklists/prompts/tests accordingly. Include privacy boundaries and opt-out.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a multi-repo agent that only edits repos it’s authorized for, respects codeowners, and uses per-repo policies. Include cross-repo dependency coordination rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a process to adjust safety filters based on measured false positive/negative rates. Require evaluation sets, human review, and rollback if harm risk rises.
Author: Assistant
Category: safe-self-improving-ai | 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
Build a dependency graph indexer and an impact analyzer that estimates blast radius of a change and picks appropriate test suites and reviewers.
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
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 security patching playbook: small diffs, added tests, immediate canary, and post-deploy monitoring. Include coordination with human security reviewers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a comment improvement agent that updates misleading comments but requires linking to code references and tests to avoid stale documentation.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan for improving logs: structured fields, sampling, PII redaction, and correlation IDs. Require that changes do not reduce incident investigability.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint for self-updating policy files (rulesets) with tests, staging, and canary enforcement. Require explicit approval for tightening/loosening security.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan for generating API clients: typed SDKs, version pinning, integration tests, and docs. Include a policy against generating unsafe dynamic code.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint for self-editing CI/CD scripts safely: validate configs, run in sandbox, and require manual approval for permission changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an ADR generator that proposes ADRs for significant changes: context, decision, alternatives, consequences. Require human approval and link tests/metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a feature flag workflow: staged rollout, kill switches, and metrics by cohort. Include rules for cleanup (flag debt) and audit logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design UI improvements for reviewing AI-made diffs: risk highlighting, test evidence, and “what changed semantically.” Include A/B testing plan for reviewer speed/accuracy.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint for updating localization strings: ensure placeholders match, run i18n checks, and verify no abusive/unsafe text. Include review steps.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a policy for change budgets: cap number/size of automated PRs per day, prioritize highest impact, and avoid overwhelming reviewers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a global kill switch that halts all automated edits/deploys across environments. Include manual override process and audit logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design ownership enforcement: CODEOWNERS mapping, required reviewers per module, and automatic routing. The agent must not merge without required approvals.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that identifies flaky tests, isolates root causes (timing, ordering, external deps), and proposes stabilization patches. Require proof via repeated runs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a tool registry: versioned MCP tools, deprecation, and audit trails. Include a process for approving new tools and revoking compromised ones.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a routing agent that selects specialized agents (tests, security, perf, docs) based on task intent and risk. Include confidence thresholds and fallbacks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a linter for agent prompts: ban risky instructions, require citations for factual claims, enforce “no tool calls from untrusted text” policies.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that writes release notes from diffs and PR descriptions, focusing on user-visible impact, migrations, and known issues. Include accuracy checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an incremental modernization strategy (language/runtime upgrades) with compatibility tests, staged rollouts, and metrics. Include “stop if risk” criteria.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an automated PR reviewer that adds checklists, risk annotations, and required evidence links (tests, benchmarks, docs). It must not auto-merge without gates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to deprecate APIs safely: warnings, dual-run, client update automation, and cutoff dates. Include dashboards to track migration progress.
Author: Assistant
Category: safe-self-improving-ai | 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
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
Define error budgets and a policy: when error budget is low, block auto-deploys and require human approval. Include dashboards and alert thresholds.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a loop to detect memory leaks: reproduce with stress tests, capture heap snapshots, propose fix, and verify stability. Include regression tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a migration workflow: generate migrations, run on staging snapshots, verify invariants, measure runtime, and define rollback strategy. Require human approval for prod.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design characterization tests for legacy code before refactoring: capture I/O behavior, edge cases, and performance baselines. Use them as a gate for changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a process where the agent checks a proposed change against official documentation versions, release notes, and migration guides. Require citations for claims.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define guardrails that block large architectural changes unless an explicit human-approved RFC exists. Include heuristics to detect “too big” diffs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a sandbox spec: network isolation, filesystem constraints, resource limits, and safe temp dirs. Include how MCP tool wrappers enforce the sandbox.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a dependency update agent that monitors CVEs, proposes safe upgrades, runs integration tests, and creates changelog notes. Include rollback and pin rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that writes tests before code changes, targets uncovered branches, and proves coverage deltas. Include mutation testing as a safety check.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a reproducible build pipeline: pinned deps, lockfiles, hermetic builds, SBOM generation, and provenance attestation for every self-edit.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a multi-agent design: Editor drafts patch, Reviewer critiques, Verifier runs checks, Operator manages deploy. Define handoffs and stop rules to prevent loops.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a confidence scoring model for proposed changes based on tests passed, diff risk, code area criticality, and evidence quality. Use it to decide automation level.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a chaos testing approach limited to staging: inject failures, verify timeouts/circuit breakers, and ensure alerts fire. Require strict boundaries and approval.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design automated rollback tests that verify deployments can be reverted cleanly. Include data migration constraints and safe fallback paths.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a threat-modeling step: identify assets, attackers, and abuse cases for each PR. Include automated checks and a human escalation threshold.
Author: Assistant
Category: safe-self-improving-ai | 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
Create a backlog system: bugs, tech debt, performance, and security items. Include scoring by user impact, risk, and effort, and automatic issue creation via MCP.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design secret-handling: vault integration, redaction in logs, and automated leak scans on diffs, logs, and artifacts. Include fail-closed behavior.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a safety case template per capability: hazards, mitigations, tests, monitoring, rollback, and residual risk. Require evidence links and sign-off rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a tracing and logging spec for the self-edit loop: prompts, tool calls, diffs, test results, deploy events, and user impact metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a permissions matrix for MCP tools: read-only by default, write tools gated, deploy tools require human approval. Include environment separation (dev/stage/prod).
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a gate that blocks merges unless linting, type checks, and security linters pass. Include a policy for exceptions and mandatory justification logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a refactoring agent that only changes code when it can show measurable gains (latency, memory, error rate). Include baseline capture and regression detection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design tabletop exercises and simulations for agent failures (bad PR, bad deploy). Include roles, scripts, and acceptance criteria for readiness.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a documentation set for the self-improving agent: architecture, tools, policies, and runbooks. Include a “limitations” section and safety rationale.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Draft constraints so research/crawling never performs intrusive activity; only access allowed APIs and public docs. Include a compliance checklist and enforcement.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to tighten interfaces with types, schemas, and validation at boundaries. Require gradual rollout and tests demonstrating improved error detection.
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
Create an agent that rewrites error messages for clarity, adds error codes, and links to docs. Verify improvements via support ticket taxonomy and A/B testing.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design governance for self-improving systems: approval rules, quarterly audits, access reviews, and incident drills. Include “who can change the agent” controls.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a loop where production failures and near-misses become new eval tests. The agent should propose test additions with minimal reproductions and acceptance criteria.
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 a loop to improve job scheduling: fairness, retries, visibility timeouts, and backpressure. Require load testing and chaos testing in staging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent to improve alt-text and form labels, requiring neutral phrasing, avoiding sensitive inference, and validating with accessibility tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a workflow to propose UX copy changes, test via A/B, and ensure no dark patterns. Include an ethics checklist and rollback criteria.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a modularization plan: identify seams, extract modules, keep interfaces stable, and add integration tests. Require incremental steps and metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a dashboard that drives the agent’s priorities: complexity, test coverage, error hotspots, dependency risk, and SLOs. Include alert thresholds and weekly reports.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design MCP wrappers that validate inputs, enforce types, and reject dangerous parameters. Include error taxonomy and audit logging for rejected calls.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a service catalog that the agent maintains: owners, dependencies, SLOs, runbooks, and deploy pipelines. Use it to route reviews and risk analysis.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a weekly meeting agenda focused on safety and reliability: review dashboards, incidents, near-misses, red-team findings, and upcoming risky changes. Include decision outputs and owners.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Define hard caps on recursion: max iterations, time limits, budget limits, and scope constraints. Provide rules for when to reset context and when to escalate to humans.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design an auditability system: trace inputs→retrieval→prompt→tool calls→outputs, with immutable logs and privacy controls. Include a schema and query patterns for audits.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design safety culture practices: blameless reporting, review norms, escalation comfort, and training. Include weekly rituals and how to measure culture health.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a zero-trust approach: secrets management, short-lived credentials, environment segregation, and auditing. Include how to test that the AI cannot access restricted secrets.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Describe a high-level approach to align reward signals with safe behavior: preference data guidelines, reward hacking risks, and validation. Keep it conceptual and focused on safety.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design drift detection: changes in user queries, outcome distributions, error types, and model behavior. Include thresholds and a playbook for when drift is detected.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Generate a model/system card template: intended use, limitations, safety mitigations, eval results, and known failure modes. Include a changelog section for each iteration.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design an evaluation strategy that avoids overfitting: holdouts, rotating test sets, adversarial sets, and blind evaluation. Include rules for when to refresh benchmarks.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a canary strategy: cohort selection, metrics, guardrails, and automatic rollback conditions. Include steps to prevent canary contamination and to interpret results statistically.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a rollback system: model version pinning, feature flags, staged rollouts, and a kill switch. Include operational procedures and testing for rollback reliability.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create an incident response plan specific to AI: detection, containment, user comms, rollback, forensic logging, and post-incident retraining rules. Include severity levels and example incidents.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Define monitoring signals: policy violations, anomaly detection, tool misuse attempts, unusual output distributions, and drift. Provide alert thresholds, runbooks, and an on-call playbook.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a safety regression suite: prompt injection tests, data leakage tests, refusal/guardrail tests, and policy adherence checks. Include how to maintain and evolve the suite over time.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design an offline sandbox environment for experimenting with improvements: isolated data, limited tools, no external side effects, and deterministic replay. Provide a checklist for containment.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a safety-gated iteration loop: propose→simulate→test→review→deploy→monitor. Include stage gates, required evidence at each gate, and ‘stop conditions’ that automatically halt rollout.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Perform a structured threat model (STRIDE-style or similar) for a recursive AI pipeline. Cover misuse, data exfiltration, prompt injection, model drift, and over-automation. Output mitigations and tes...
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a quarterly roadmap for recursive improvement: initiatives, milestones, safety deliverables, and staffing. Include an ‘if risk increases’ contingency branch.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design an entity extraction + graph pipeline: NER, entity resolution, relationship extraction, and graph storage. Include queries to answer “who is connected to what.”
Author: Assistant
Category: research-bot | Model: GPT-5.2
Draft a policy for paywalled/restricted content: detect paywalls, avoid bypass, rely on accessible sources, and suggest user-provided excerpts when needed. Include user messaging guidelines.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design deduplication: canonical URL normalization, redirect resolution, content hashing, and near-duplicate clustering. Include evaluation metrics for dedupe accuracy.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Draft a compliance-first plan: robots.txt handling, site terms, user-agent identification, rate limiting, and respectful crawling. Include an ethics checklist and escalation rules.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design an end-to-end architecture for a research bot that uses web search APIs, page fetching, and summarization. Include modules, data flow, storage, caching, and citation strategy.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a compliance workflow: policy mapping, data handling rules, documentation, audits, and change impacts. Keep it general (not legal advice) and focused on operational safety.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a delegation pattern where the AI plans but humans execute high-risk steps. Include how to structure instructions, confirmations, and evidence requirements.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design containment by limiting action scope: allowlisted domains, read-only modes, rate limits, and staged privileges. Include how to measure whether containment is effective.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a 90-day implementation plan for a safe recursive improvement system: milestones, deliverables, tests, monitoring, governance, and a pilot rollout. Include a ‘pause and assess’ week.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a feedback system that’s hard to game: structured feedback types, sampling, and weighting. Include how to prevent brigading and ensure minority failure modes are captured.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a cross-validation pattern: primary model proposes, secondary model critiques/verifies, and a policy gate decides. Include how to handle disagreements and measure error reduction.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create an annotation guide: definitions, examples, severity levels, and how to handle ambiguity. Include training exercises and a QA process for reviewer consistency.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a stress test plan: malformed inputs, long-context traps, conflicting instructions, and toxic content probes. Provide how to automate and score robustness over time.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a least-privilege permission model for tools: scopes, rate limits, time bounds, and audit logs. Provide an authorization matrix and guidelines for granting elevated access.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create an RFC-style change control process tailored to recursive AI: what must be documented, reviewers, rollout plan, rollback triggers, and postmortem requirements. Provide a reusable RFC template.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a framework that allocates budgets to capability gains vs safety work (testing, monitoring, red-teaming). Provide a weekly cadence and a KPI set that prevents ‘capability-only’ drift.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Explain privacy-preserving options for feedback loops: minimization, aggregation, differential privacy (conceptually), and retention policies. Provide a practical selection guide.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a safe-defaults checklist for the tool layer: deny-by-default, explicit allowlists, safe parameter validation, output filtering, and timeouts. Include common failure modes.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create decision criteria for retraining vs prompt tuning vs retrieval updates. Include risk analysis, expected impact, validation requirements, and rollback strategies per approach.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a balanced scorecard: utility metrics (task success), safety metrics (policy adherence), reliability (latency, uptime), and user trust (complaints). Include leading indicators and dashboards.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a calibration approach: confidence estimation, abstention policies, escalation to human, and how to test calibration. Include UI patterns that communicate uncertainty responsibly.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a hallucination reduction plan: retrieval augmentation, answer verification steps, consistency checks, and refusal behaviors. Include evaluation metrics and regression tests.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a prompting style guide for internal prompts: structure, tool usage rules, refusal patterns, and safety reminders. Include examples and a checklist reviewers can apply.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Run a pre-mortem for a recursive improvement project: list plausible failures, early warning signals, and prevention steps. Output prioritized mitigations and ‘watch items’.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a post-mortem template tailored to AI regressions: data/prompt/model diffs, evaluation gaps, monitoring misses, and remediation tasks. Include a ‘lessons to tests’ section.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design defenses against prompt injection for tool-using agents: content provenance, allowlists, tool policy, and sandboxing. Include a suite of adversarial prompts for regression testing.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a security review plan for the AI toolchain: dependencies, container images, permissions, SBOM, and update policy. Include a checklist and a cadence for reviews.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design methods to evaluate long-horizon tasks: checkpoints, intermediate artifacts, verifier models, and human spot checks. Include metrics that detect slow drift or hidden degradation.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Build a risk register for recursive AI improvement: failure modes, likelihood/impact, detection signals, mitigations, and owners. Include a template and an example filled out for an LLM toolchain.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Write a behavioral contract for the system: allowed actions, forbidden actions, escalation rules, and acceptable uncertainty. Include examples and counterexamples to reduce ambiguity.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a boundary model that separates: advisory outputs, drafts, and automated actions. Include criteria for graduating features from advice→action, and safety evidence required.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design an evaluation ladder for recursive improvement: unit tests, integration tests, simulation, canaries, and production monitoring. Provide pass/fail gates and minimum coverage targets.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a continuous red team program: scenarios, cadence, severity scoring, triage workflow, and how findings feed back into the improvement loop. Include a template for red-team reports.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a production readiness review checklist: evaluation results, red-team status, privacy review, rollback tested, monitoring live, and owner sign-offs. Output a go/no-go rubric.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design safe A/B testing for AI changes: guardrails, user segmentation, sensitive cohorts, and safe metrics. Include ethics considerations and how to interpret ambiguous outcomes.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a safe loop where the AI proposes code changes: unit tests, static analysis, security scans, human review, and staged deployments. Include stop rules and rollback plans.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create an ethical review process for high-impact use: fairness, accessibility, harm minimization, and user consent. Include a checklist and escalation rules.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Define a safe logging policy: what to log for debugging, what to redact, retention windows, access controls, and anonymization. Include examples and anti-examples.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Write explicit requirements to prevent deceptive behavior: transparency rules, auditability, and logging. Include tests to detect hidden policy violations or manipulation attempts.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a safe self-reflection procedure: bounded critique, avoiding infinite loops, and ensuring critique is grounded in evidence. Provide stop rules and performance safeguards.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a multi-agent architecture with safety: role separation, constrained tools, message filtering, and cross-checks. Include failure modes and an evaluation plan.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a traceability matrix linking requirements/specs to tests and monitors. Provide a template and a worked example for a tool-using assistant system.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Help me design a domain-specific safety benchmark: representative tasks, policy-sensitive cases, and adversarial cases. Include labeling guidelines and inter-annotator agreement checks.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Draft a safety-first charter for recursive AI improvement: objectives, non-goals, guardrails, acceptable risk thresholds, and escalation policy. Include a one-page summary plus a detailed appendix.
Author: Assistant
Category: recursive-ai-safety | 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
Define a governance model: safety owner, release manager, red-team lead, privacy officer, and incident commander. Include RACI matrix and meeting cadence.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a hybrid policy system: deterministic rules for hard constraints, ML classifiers for soft signals, and escalation logic. Provide architecture, failure modes, and monitoring plan.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a truthfulness policy: source requirements, citation rules, and how to label speculation. Provide a checklist for editors/analysts and an automated linting concept.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design data governance for user feedback and logs: consent, retention, minimization, access controls, and audit trails. Provide a policy and an implementation checklist.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Define where humans must remain in the loop: high-impact actions, security-sensitive steps, and ambiguous decisions. Provide a decision taxonomy and UI/ops requirements for approval workflows.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a policy and technical controls for PII/secrets: detection, redaction, encryption, and safe storage. Include test cases and a plan to prevent secret leakage into training/evals.
Author: Assistant
Category: recursive-ai-safety | 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
Create a workflow for conflicting sources: identify disagreements, categorize (definition vs data vs interpretation), and present balanced conclusions with confidence levels.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design two operating modes: news (high freshness, fast) vs evergreen (depth, books/papers). Include different source scoring, caching, and output formats.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Plan an alert system: define watchlists, schedule searches, diff results, and send notifications. Include dedupe, false positive controls, and ‘significance’ scoring.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Draft a safety policy for the research bot: sensitive topics, privacy boundaries, defamation risk, and when to ask the user for confirmation. Include a user-facing explanation style.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design PII handling: detection, redaction, retention limits, and access controls. Include how to avoid collecting unnecessary personal data and how to respond to removal requests.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design security controls: API keys storage, least privilege, environment separation, and audit logging. Include rotation policy and incident response playbook.
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
Design a user experience: question intake, clarifying questions, showing sources, evidence table, and exporting. Include interaction patterns for analysts vs casual users.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Plan export: Markdown report, PDF generation, and CSV evidence table. Include how to preserve citations and embed “as of” timestamps consistently.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design hallucination controls: enforce evidence-only summarization, require citations for key claims, and label uncertainty. Include prompts and automated checks (linting).
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design domain packs: specialized source allowlists, stricter citation rules, and domain-specific extraction (e.g., trials, filings). Include how to swap packs safely.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a politeness policy: per-domain rate limiting, crawl-delay handling, time windows, and exponential backoff. Include instrumentation to prove compliance.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Plan how to use sitemaps and RSS/Atom feeds to discover content efficiently. Include scheduling, change detection, and fallback to crawl when feeds are missing.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a source scoring rubric: domain trust, author expertise, citations, recency, and conflicts of interest. Output a weighted scoring model and how to tune it per domain.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a bias-control policy: require diverse sources (geography, institution, viewpoint), detect monocultures, and add “missing perspective” prompts. Include reporting in outputs.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a standard research brief template: executive summary, key findings, evidence table, open questions, and citations. Include options for analyst vs layperson formats.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design cross-language research: translate queries, search in multiple languages, normalize entities, and merge evidence. Include how to detect mistranslations and preserve proper nouns.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design an extractor for structured data: schema.org/JSON-LD, OpenGraph, and meta tags. Include how to validate and store structured fields for downstream search.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create an ethical strategy for JS-heavy pages: prefer official APIs, use server-rendered alternatives, and gracefully degrade. Include guidelines for when to skip a site and explain why.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design storage: raw HTML, cleaned text, metadata, embeddings, and caches. Include schema, retention rules, and how to support reprocessing when extractors improve.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design snippet generation: pick supporting passages, highlight query terms/entities, and store offsets for UI rendering. Include how to avoid misleading snippets.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a QA workflow: sample-based review, check citations, verify key claims, and approve final briefs. Include reviewer guidelines and a severity rubric.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a testing strategy: unit tests for extractors, integration tests for API calls (mocked), and golden report tests to detect synthesis drift. Include CI gating rules.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a 90-day plan to ship an MVP: milestones, API integrations, extraction, indexing, citation system, and UI. Include risk register, budget, and acceptance criteria for launch.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Plan a resilient fetching layer: retries, exponential backoff, timeouts, caching, and content-type handling. Include how to avoid hammering sites and manage 429/503 responses.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a citation system: store supporting snippets, anchor to URL + section/page, and enforce quote-length limits. Include how to generate citations in final responses automatically.
Author: Assistant
Category: research-bot | Model: GPT-5.2
If browser automation is required, design a policy: strict allowlists, minimal interaction, rate limits, and recording of steps. Include risk assessment and a user-facing disclaimer template.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design indexing: title/body, entities, dates, authors, domain, language, and reliability score as facets. Include query patterns and how to support analyst workflows.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a sanitization pipeline for retrieved content: strip instructions, isolate quotes, and prevent tool-use hijacks. Include adversarial test cases and regression suite.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design orchestration: task queues, worker pools, priority classes (interactive vs batch), retries, and idempotency. Include a simple architecture for cloud deployment.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design incremental crawling: store ETags/Last-Modified, compute diffs, and update indexes incrementally. Include pitfalls and how to handle missing headers.
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
Create three output modes: executive brief (short), analyst memo (deep), and student explainer (teaching). Include structure, tone, and citation density rules for each.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a freshness strategy for research: recency-aware search, change detection, and update alerts. Include how to present “as of” dates and avoid outdated claims.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a content extraction module: boilerplate removal, main-content detection, metadata extraction (title/author/date), and language detection. Include fallback strategies for messy pages.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a plan for handling PDFs: downloading, parsing text, capturing page numbers, and generating citations. Include limitations and a quality checklist for extraction accuracy.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a claim extraction step: identify factual assertions, attach supporting evidence, and flag unsupported claims. Include scoring for evidence strength and contradictions.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a method to cluster collected sources into themes: embeddings, hierarchical clustering, and label generation. Include how to keep clusters stable across updates.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design an evidence table format (CSV/JSON): each claim mapped to sources, snippets, dates, and reliability scores. Include how to generate it automatically from the pipeline.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a query planning module that expands a user question into search operators, sub-queries, and entity lists. Include multilingual support and query diversification strategies.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a multi-agent approach: planner creates sub-queries, retriever collects sources, reader extracts claims, writer synthesizes. Include handoff artifacts and consensus checks.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design how to expose search/fetch/extract as MCP tools: schemas, permissions, and audit logs. Include example tool definitions and a safety policy for tool use.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design evaluation metrics: search precision/recall, source diversity, citation correctness, and user satisfaction. Include how to create labeled datasets and measure improvements.
Author: Assistant
Category: research-bot | 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 unified rate limit manager: per-provider quotas, burst control, adaptive throttling, and retry policies. Include how to schedule jobs to maximize throughput within limits.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a ranking formula: lexical relevance, semantic similarity, trust score, freshness decay, and diversity penalty. Include how to tune weights and validate offline/online.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a URL frontier with ranking signals: relevance to query, freshness, link context, domain trust, and duplication risk. Include pseudocode-level description and metrics.
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
Build a game discovery system: preference profile, genre adjacency map, review signal filtering, and a monthly shortlist workflow. Include a scoring rubric for backlog prioritization.
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
Create a gaming schedule that supports sleep and recovery: cutoff times, blue-light management, hydration/food, breaks, and a ‘cooldown’ routine after intense matches.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Explain digital collectibles in a neutral way: utility vs cosmetic, ownership models, risks, and how to evaluate claims. Keep it educational, avoid hype, and include safety tips.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a macro improvement plan for MOBA-style games: lane states, vision, objective timing, rotations, and risk management. Provide a checklist for each phase of the match.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Help me develop adaptive build orders: scouting signals, tech switches, and resource timing. Provide a framework to practice ‘if-then’ responses and review mistakes.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a character build philosophy guide: min-max, hybrid, and roleplay-first approaches. Provide a method to choose builds that match my fun and time budget.
Author: Assistant
Category: gaming-metaverse | 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
Provide a decision framework for choosing an engine: target platforms, networking, tooling, team skillset, and performance constraints. Include a phased prototyping plan and risk register.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a community-led growth plan: content loops, events, creator collaborations, and onboarding funnels. Provide a 30-day launch plan and metrics to track.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a fair tournament plan: rules, seeding, anti-smurf policies (ethical), streaming setup, dispute handling, and post-event highlights. Keep it practical and community-friendly.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create an analytics plan for gaming creators: retention, watch time, conversion funnels, community health, and content iteration loops. Provide a weekly review template.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Outline viable business models for metaverse projects: subscription, cosmetics/UGC, tickets, brand activations, and services. Include pros/cons, required capabilities, and KPI targets.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create an ethical engagement framework: progression pacing, transparency, fair monetization, and player wellbeing. Provide a checklist to avoid dark patterns while sustaining retention.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Recommend GPU control-panel settings for stable frametimes: V-Sync/G-Sync/FreeSync, frame caps, low-latency modes, texture filtering, and scaling. Provide profiles for competitive vs cinematic games.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a workflow to mine clips from streams: markers, highlight rules, captions, and posting schedule. Include templates for ‘story arc in 20 seconds’ and ethics for fair use.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a social safety checklist for metaverse participation: privacy settings, blocking/reporting, personal boundaries, and safe event participation. Use calm, non-alarmist wording.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a monetization plan for creators: subscriptions, cosmetics, UGC sales, sponsorships, and events. Include ethical guidelines to avoid exploitative design and keep trust high.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a VR comfort plan: locomotion options, FOV settings, session length ramp-up, hydration breaks, and environment setup. Keep it practical and user-safe.
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
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
Create a team communication protocol: call types, brevity rules, confirmation loops, and post-round micro-debriefs. Include examples for FPS, MOBA, and tactical co-op games.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a strategy to handle toxicity: mute policies, constructive phrasing, conflict de-escalation, and protecting focus. Keep it practical and supportive, not preachy.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Help me choose metaverse platforms based on goals (social, creation, events, commerce, education). Provide a comparison rubric: device requirements, community norms, safety tools, and creator monetiza...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Help me design an avatar strategy: visual identity, style consistency, performance constraints (polycount, materials), and accessibility considerations. Provide a checklist for iteration and testing.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a worldbuilding blueprint for a virtual space: theme, narrative beats, flow, lighting, sound, interaction points, and social zones. Include a ‘first-time visitor’ funnel and KPIs.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a ranked climb strategy: warm-up, session limits, tilt control, hero/role pool strategy, and performance metrics beyond win/loss. Include a ‘bad day’ protocol to stop bleeding rating.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Explain common anti-cheat mechanisms and how legitimate players can avoid false flags: overlays, macros, drivers, and mod conflicts. Keep it ethical and do not provide cheating instructions.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Provide a high-level, non-brand-specific guide to choosing gaming hardware: CPU/GPU balance, VRAM, RAM, storage, cooling, and upgrade path. Include a checklist and common pitfalls.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a sim racing setup plan: wheel settings, force feedback tuning, braking calibration, seating ergonomics, and training drills. Include a method to track lap consistency improvements.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a Discord server structure: channels, roles, onboarding, moderation policies, and event cadence. Include a starter template and a scaling plan for 100→10,000 members.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Diagnose my gaming latency issues end-to-end: ISP, Wi-Fi vs Ethernet, bufferbloat, NAT type, DNS, and in-game settings. Provide a step-by-step test plan, tools to measure jitter/packet loss, and prior...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create an audio tuning plan for positional awareness: headset selection criteria, EQ ranges (general), HRTF options, and in-game audio settings. Include a quick test track routine to validate improvem...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Provide a VOD review framework: tagging errors, decision trees, positioning, cooldown economy, and comms clarity. Output a checklist and a template to track recurring patterns and fixes.
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
Create a 30-day improvement plan for my game: mechanical drills, VOD review, goal metrics, and weekly focus themes. Include a time-efficient version (30 minutes/day) and a deeper version (2 hours/day)...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a security checklist for gamers: 2FA, password manager, recovery codes, phishing awareness, and platform privacy settings. Include a routine to keep accounts safe with minimal effort.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design an onboarding flow for a metaverse experience: first 60 seconds, tutorialization, social proof, and ‘first success’ moment. Include retention KPIs and A/B test ideas.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Provide a modding roadmap: tooling, version control, testing, distribution etiquette, and respecting game/community rules. Keep it high-level and do not advise breaking ToS.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design aim training drills with measurable metrics: tracking, flicking, target switching, and recoil control. Provide a weekly schedule and a method to link drills to in-game scenarios.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a headset selection rubric: comfort, optics, tracking, controllers, passthrough, and ecosystem. Include use-case profiles (fitness, social, sim racing, dev) and decision rules.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Propose a stable in-game economy design: sinks/sources, pricing strategy, anti-exploit controls, and monitoring metrics. Include balancing workflow and patch cadence.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a YouTube gaming packaging playbook: title formulas, thumbnail principles, first-30-seconds hook scripts, and retention pacing. Include A/B test ideas and a publishing cadence.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a streaming starter plan: hardware/software basics, audio quality priorities, overlays, chat moderation, and a 4-week content schedule. Include a minimum viable setup for budget constraints.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Recommend accessibility improvements: keybind ergonomics, remapping, subtitle settings, colorblind modes, reduced motion, and posture/desk adjustments. Include a comfort checklist for long sessions.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a co-op session plan for friends with limited time: role assignments, quick-start rituals, shared goals, and a ‘wrap-up’ routine. Include templates for weekly game nights.
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 voice chat etiquette guide and moderation toolkit for communities: rules, escalation ladder, and scripts for interventions. Include tools/settings suggestions at a high level.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design an event playbook: concept, run-of-show, moderation, attendee onboarding, afterparty, and post-event retention. Provide templates for recurring weekly events.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
1.ask lowest price in iPhone 17 in amazon 2. who is best seller ? some cheat ,some is real ,choice ipo company, a lot of recommand for buyer ,LLM like chatgpt 3.what time we could get? chatgpt,perp...
Author: [email protected]
Category: MCP | Model:
Create a method to map essentials near me (water, pharmacy, clinic, shelter, charging). Include offline storage, update cadence, and a simple map legend.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Coach me on asking for help and offering help respectfully across cultures. Include phrases, consent reminders, and how to avoid misunderstandings.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a gentle off-grid fitness and mobility routine to reduce injury risk: warm-ups, lifting habits, hydration reminders, and rest scheduling.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Outline a small mutual-aid plan: contact list, skills inventory, check-in schedule, and resource sharing rules with privacy and consent built in.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a role assignment plan for households/groups: water lead, food lead, sanitation lead, comms lead. Include a daily standup script and rotation rules.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a 5-minute daily briefing script: safety check, water/food status, tasks, comms, and morale. Include a note template and rotation plan for who leads.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Provide a shelter fundamentals guide for different climates (hot/humid, cold, temperate). Focus on heat retention, shade, ventilation, and safe indoor air practices.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create an urban off-grid routine: safe movement, resource mapping (pharmacy, water, shelters), and communication. Keep advice general and safety-focused.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Design an off-grid family plan that supports kids: simple explanations, predictable routines, learning/play ideas, and comfort kit checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Write a guide to respectful shelter/shared-space etiquette: privacy, noise, queues, hygiene, and conflict avoidance. Keep it culturally sensitive and practical.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Provide safe hand hygiene strategies when water is limited: handwashing technique, alternatives, and a daily routine that minimizes consumption.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a cold safety guide: staying dry, wind protection, warming routines, and safe indoor heating practices. Include a checklist for nighttime setup.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create short check-in message templates that are easy to translate. Include: “I’m safe,” “Need supplies,” “Meeting point,” and “Update cadence.”
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Design a monthly 30-minute maintenance routine: rotate supplies, test lights, update contacts, refresh maps, and review plans. Provide a printable checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Write a guide to ethical preparedness: buy gradually, avoid hoarding, share information responsibly, and support vulnerable neighbors. Include practical examples.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Explain safe water planning: how to store water, basic treatment methods, and rationing for different climates. Include a simple daily liters-per-person calculator and a rotation schedule.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a 7-day off-grid menu using shelf-stable foods and minimal cooking. Include nutrition basics, substitutions common across cultures, and a rotation strategy to avoid waste.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Write a heat safety guide: hydration, shade planning, timing of tasks, and warning signs. Include a daily schedule template for hot climates.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Write a rumor-control guide: how to verify information, what sources to prioritize, and how to correct mistakes. Include a 30-second “before you share” checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a home hazard walkthrough to prevent injuries during disruptions: trip hazards, glass, exits, fire safety, and safe storage. Provide a priority list for small apartments.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a safe commuter plan when public transit stops: decision tree (wait/walk), safe route heuristics, essentials to carry daily, and check-in protocol.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a prioritized list of simple tools useful off-grid (multi-tool alternatives, tape, cordage, lighting). Include region-friendly substitutes and safe usage reminders.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a first-week recovery plan: restoring routines, documenting losses, contacting employers/schools, cleaning safely, and rest. Keep it calm and stepwise.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a leadership-under-stress checklist: what to say, what to avoid, cadence of updates, and how to support the team. Include short message templates.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Give me techniques to timebox discussions without sounding rude. Provide phrases, a facilitation plan, and a method to park topics for later.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Coach me on aligning expectations for ambitious goals: define success, risks, checkpoints, and “what we’ll trade” if needed. Provide a kickoff script.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me map stakeholders using power/interest and trust level. Then propose a communication cadence, message framing per stakeholder, and “no surprises” tactics.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a recognition and motivation plan for different personality types. Provide examples of praise that is specific, sincere, and aligned with impact.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Teach me DACI/RACI and help me apply it to my project. Produce a roles table, decision log format, and a meeting script to confirm ownership.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me communicate about sensitive topics neutrally and respectfully. Provide guidelines, phrases to avoid, and rewrites of my draft into a calm professional tone.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a brainstorming facilitation plan: warm-up, idea generation, clustering, prioritization, and decision. Include timeboxes and prompts for quieter participants.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a 15-minute daily active listening drill. Include prompts for reflecting, labeling emotions, and clarifying assumptions. Provide a tracking sheet and success criteria.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Coach me on receiving feedback. Give me a step-by-step response framework, a set of clarifying questions, and a practice role-play with 5 escalating scenarios.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me craft a persuasive message using Claim→Evidence→Impact. Provide a template and rewrite my draft. Then suggest what data would best strengthen the case.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Give me scripts to say no professionally while preserving relationships. Provide versions for: manager, peer, client, and friend. Include a decision rule for when to say yes.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me communicate across cultures (Japan/India/USA). Provide a practical guide: directness, silence, disagreement, and email norms. Include example rewrites.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create an off-grid readiness plan for small apartments: storage hacks, compact gear choices, and a monthly maintenance routine that takes 20 minutes.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Give me an apology framework for mistakes at work: acknowledge, impact, fix, prevention. Provide 3 templates (Slack, email, in-person) and a do/don’t list.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Design a low-water sanitation plan: hand hygiene, dishwashing, toilet alternatives, trash handling, and illness prevention. Keep it practical and non-graphic.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a rural off-grid daily routine: water, food, sanitation, safety checks, and rest. Provide a time-block schedule template and adaptation notes by climate.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a pet off-grid plan: food/water, medications, ID, carriers, and stress reduction. Include a short practice plan so pets tolerate carriers better.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create an off-grid preparedness plan for mobility/accessibility needs: supplies, caregiver coordination, accessible communication, and dignity-first shelter planning.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Design an offline navigation method: storing maps, landmark routing, and writing a simple “route card.” Emphasize safety and avoiding unnecessary risk.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a mental resilience routine for off-grid situations: sleep protection, information limits, grounding techniques, and decision hygiene. Include a daily template.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a 4-week learning plan for 10 practical off-grid skills (water management, basic first aid, navigation basics, food rotation). Keep it non-technical and accessible.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Generate low-tech learning activities for kids (reading, math, science, games) that require minimal supplies. Provide ideas across cultures and languages.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a simple budgeting framework for off-grid periods: prioritize essentials, avoid scarcity traps, and plan replenishment. Include a weekly review template.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a spice and seasoning guide that works across cuisines, with swap tables (e.g., soy sauce alternatives, chili variations). Include storage and rotation tips.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Help me build a trusted sources list per domain (health, finance, security, policy). Provide selection criteria and a quarterly review routine.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a sleep setup checklist for off-grid conditions: warmth management, noise reduction, hydration timing, and keeping essentials accessible at night.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Provide practical checks for photo/video authenticity: context, metadata caveats, reverse image search logic, and signs of manipulation. Include a decision flowchart.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me to evaluate charts: axes, aggregation, missing baselines, cherry-picked ranges. Provide a checklist and rewrite a misleading caption into a fair one.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain how to balance recency and reliability. Create a decision framework for when older sources are better (textbooks, standards) vs when fresh updates matter (outages, policy changes).
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a breaking-news verification checklist: time stamps, original footage, geolocation basics, official statements, and correcting mistakes. Keep it practical and non-technical.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
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 method for offline verification: who to call, what to ask, how to document, and how to avoid rumor amplification. Include scripts.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create an “information diet” plan: what to monitor daily/weekly/monthly, how to avoid doomscrolling, and how to keep situational awareness responsibly.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Show me how to verify policy or regulatory claims by finding official text, amendments, effective dates, and authoritative summaries. Include a workflow and checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain common evidence types (anecdote, observational, experimental, expert consensus, official data) and when each is appropriate. Include a quick evaluation checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a “reliability ladder” with levels (rumor, unverified report, corroborated, primary evidence, replicated). Provide tagging rules I can use in notes.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a calm plan for being stranded: lodging, budgeting, documentation, safe movement, and contacting family. Include a minimal travel kit list.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Teach me how to track changes over time: page versions, archived copies, release notes, and timestamps. Provide a “change log” note template.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Give me an offline information plan: what physical references to keep (manuals, standards, maps), how to organize them, and how to keep them updated.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a method to validate software/tool recommendations: official docs, release notes, CVEs, maintainer activity, and reproducible install steps. Include a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain what genuine expert consensus looks like and how to detect fake consensus. Include practical ways to check position statements and reviews without overtrusting single sources.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a ‘reverse search’ strategy: how to actively look for disconfirming evidence and the strongest counterarguments. Include prompt patterns and a checklist to avoid confirmation bias.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to use wikis/forums responsibly: check edit history, citations, expert participation, and corroboration. Provide a checklist and caution rules.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Help me build a trustworthy alerts stack: RSS, email alerts, official feeds, and curated newsletters. Include criteria for selecting sources and avoiding overload.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a system for confidence labels (e.g., 30/60/90%) and rules for upgrading/downgrading confidence based on new evidence. Include examples.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to detect circular reporting where outlets cite each other. Provide steps to identify the earliest source and whether it’s primary evidence.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Help me craft high-signal search queries: keyword expansion, exclusion terms, site/domain targeting, and multilingual variants. Provide a template and 10 examples.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me to use community/local sources (neighborhood groups, local leaders) safely: verifying identity, cross-checking, and avoiding scams. Provide a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a low-tech entertainment list: games, storytelling prompts, music, journaling, and cultural activities that work without electricity.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a decision journal template: time, verified facts, assumptions, options, action, and review. Include examples for common off-grid decisions.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Suggest safe, budget-friendly ways to store water using commonly available containers. Include labeling, rotation schedule, and common mistakes to avoid.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a set of 10-minute weekly micro-drills (water rotation, flashlight test, contact update, route check) that build off-grid readiness over time.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a universal layering guide (base/mid/shell) with examples from common wardrobes worldwide. Include drying strategies and how to prevent heat loss safely.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create an off-grid communication plan: rendezvous points, out-of-area contact, message templates, and how to share updates responsibly. Include multilingual short templates (EN + placeholders).
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
List practical first-aid skills to learn and a minimal kit for off-grid disruptions. Include a maintenance plan for expirations and a simple inventory table.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Provide off-grid fire safety guidance: safe lighting alternatives, cooking safety reminders, and a home checklist. Keep it practical and non-alarmist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Provide one-pot and minimal-fuel meal ideas drawn from multiple regions (Asia, Africa, Europe, Americas). Include substitutions and portion planning.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a food safety guide when refrigeration is limited: how to prioritize perishables, safe leftovers handling, and meal sequencing. Keep it practical and general.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Design a daily safety check routine: structural concerns, utilities, tripping hazards, fire risks, and ventilation. Include a 5-minute checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Design a practical off-grid care plan for elders: comfort, mobility support, medication tracking, hydration, and communication. Keep it respectful and non-medical.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a medication continuity plan: refill timing, safe storage, travel backup, and documentation. Keep it general and emphasize consulting local professionals as needed.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Ask me my location type (coastal/inland/urban/rural) and climate, then produce a calm risk profile and prioritized preparedness actions that avoid panic.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Design a labeling system using icons and simple bilingual labels so mixed-language households can find essentials quickly. Include an icon legend and print layout.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a calm 72-hour off-grid survival plan for an unexpected disruption (no power, no running water, limited transport). Include priorities by hour (0–1, 1–6, 6–24, 24–72) and a printable checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Design a safe illumination plan: headlamps, lanterns, battery strategy, and safe alternatives to open flames. Include a “night routine” checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a battery strategy: what devices matter, charging order, power-saving settings, and safe storage. Include a daily charging plan and tracking sheet.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a documents plan: what to copy, how to store securely, and what to keep in a grab folder. Include a culturally neutral list of common document types.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a calm plan for payment disruptions: cash buffer guidance, small bills, and secure storage. Include a rotation checklist and budgeting tips.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a multilingual emergency phrase pack template: EN plus placeholders for my languages. Include categories (medical, food/water, directions, help) and a printable format.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Provide safe off-grid cooking guidance: no-cook options, safe fuel handling reminders, and sanitation tips. Include culturally flexible meal ideas.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create three go-bag lists: minimal (everyday), 72-hour, and family/pet. Include weight targets and substitution options for different regions.
Author: Assistant
Category: off-grid-survival | 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
Design a typed A2A message schema: intents, constraints, artifacts, and status updates. Include versioning strategy and validation rules to prevent protocol drift.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a plan quality rubric: completeness, dependency ordering, risk controls, verification steps, and rollback. Provide examples of high-quality vs low-quality plans.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a safe self-improvement loop for prompts/tools: propose change, run evals, red-team, canary, deploy, monitor. Include stop rules and audit artifacts.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
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 governance workflow for agent updates: RFC template, reviewer roles, approval gates, and post-deploy validation. Include change logs and accountability.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a high-capability agent architecture (marketed as “IQ150-level”) that stays reliable: modular planner/executor, tool sandboxing, and human-in-the-loop gates. Include a component diagram, data f...
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a planner–executor split: planner produces a verifiable plan, executor performs bounded actions, verifier checks constraints. Include gate criteria, rollback triggers, and audit logging.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a sandbox model for tool execution: network isolation, file access boundaries, rate limits, and safe parameter validation. Include a threat model and tests for containment failures.
Author: Assistant
Category: agent-architecture | 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
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
Design end-to-end tracing: prompt versions, retrieval results, tool calls, retries, and final answers. Include a log schema and query examples for incident investigation.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a permissions matrix: tools by scope, environment (dev/stage/prod), rate limits, and allowed parameters. Include an approval process for permission elevation.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Write a safety case template: intended use, hazards, mitigations, tests, monitoring, and rollback. Include what evidence is required to ship the capability.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a disagreement resolution policy: majority vote, weighted expertise, verifier override, or human arbitration. Include criteria for which method applies and how to log rationale.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
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
Design a privacy-by-design approach: data minimization, redaction, retention limits, and access controls for agent logs and memory. Include a compliance-friendly checklist.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a red-team scenario library focused on MCP and A2A: injection attempts, privilege escalation, tool misuse, delegation loops, and data leakage. Include severity scoring.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design an enterprise integration plan (high level): connect to CRM/docs/ticketing via MCP tools with strict scopes, auditing, and approvals. Include a rollout plan and risk controls.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a 90-day plan to build a high-capability agent system using MCP and A2A: milestones, architecture decisions, eval harness, safety gates, and a pilot deployment. Include staffing assumptions and...
Author: Assistant
Category: agent-architecture | 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
Create a safe synthetic task generation plan: avoid sensitive content, prevent leakage, and validate usefulness with human review. Include how to measure whether synthetic tasks improve real outcomes.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design an eval harness: deterministic replays, seeded randomness, fixed tool mocks, and artifact snapshots. Provide a folder structure and CI integration plan.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a benchmark suite that measures planning quality, tool-call correctness, and end-to-end success. Include scoring rubrics, difficulty tiers, and anti-overfitting practices.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a policy for explanations: cite sources, show assumptions, and label uncertainty. Provide UI patterns for “why this tool was called” and “why this conclusion.”
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design secrets handling: vault integration, short-lived tokens, environment isolation, and audit trails. Include tests to ensure secrets never appear in outputs or logs.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a catch-up plan for students who fall behind: micro-goals, targeted practice, and supportive communication. Include a 2-week recovery schedule.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Build an independent writing framework: thesis, 2 body arguments, counterpoint handling, and conclusion. Provide an editing checklist for grammar variety, cohesion, and examples.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Design an agent-to-agent (A2A) coordination protocol: message types, handoffs, escalation rules, and consensus patterns. Include how to prevent loops, duplication, and hallucinated delegation.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a RAG pipeline for agents: retrieval, citation, cross-checking, and contradiction handling. Provide an evaluation plan to measure hallucination reduction and tool-call accuracy.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a verifier model workflow: primary proposes, verifier checks constraints and factuality, policy gate decides. Include disagreement handling and confidence thresholds.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a decomposition framework for multi-hour tasks: milestones, checkpoints, intermediate artifacts, and backtracking rules. Include a “progress ledger” to prevent losing the plot.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Compare multi-agent topologies (hub-and-spoke, mesh, hierarchical). Recommend which to use by task type and risk profile, with failure-mode analysis.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
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 latency plan: streaming, speculative execution, parallel tool calls (safe), caching, and progressive disclosure. Include how to avoid race-condition errors and maintain correctness.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design an artifact-centric workflow: agents produce plans, checklists, diffs, and reports as first-class outputs. Include templates and how artifacts enable auditing and reuse.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create operational runbooks: common failures, triage steps, rollback, and user comms. Include SLO breaches, tool outages, and prompt regressions.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a parallelization plan: split tasks safely, prevent conflicting tool actions, and merge outputs reliably. Include concurrency limits and a merge-verification step.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design an enterprise multi-tenant architecture: per-tenant tool scopes, data isolation, policy profiles, and audit reporting. Include threat model and testing plan.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create policy profiles for user tiers: consumer, enterprise, regulated. Include stricter tool permissions, logging requirements, and human approval gates by tier.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a questioning strategy: when to ask, how to propose defaults, and how to avoid excessive back-and-forth. Include a “progress-first” interaction model.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create an MCP-first design: define servers, tools, schemas, and a permission model. Provide naming conventions, versioning, and a “deny-by-default” policy for tool exposure.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a memory architecture: scratchpad, episodic memory, semantic memory, and “facts of record.” Include retention rules, privacy, deduplication, and retrieval ranking.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design MCP tool schemas: typed inputs/outputs, explicit error codes, idempotency rules, and logging fields. Provide examples of good vs bad schema design for agent reliability.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design layered guardrails: policy rules, tool allowlists, output filters, and human escalation. Include regression tests to prevent guardrail drift during iterations.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a defense plan against prompt injection when agents consume untrusted text: content provenance, instruction isolation, and safe tool policies. Provide a red-team test suite.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Define specialist agent roles with distinct prompts, tools, and constraints. Provide handoff rules and an evaluation plan to ensure specialists outperform a monolith.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a safe rollout process: canary cohorts, metrics, stop conditions, and rollback. Include how to isolate changes (prompt vs tool vs retrieval) for attribution.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design caching layers: retrieval cache, tool result cache, and response cache. Include invalidation rules, privacy constraints, and how to measure cache hit value.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Give me 10 universal conversation openers and 10 follow-up questions that work across cultures. Then provide a “graceful exit” script and practice prompts.
Author: Assistant
Category: soft-skills | 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
Help me write a one-page memo that drives decisions: context, problem, options, recommendation, risks. Provide a fill-in template and edit my draft.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me rewrite my update using BLUF and the Pyramid Principle. Provide 3 versions: Slack (5 lines), email (150 words), and verbal (30 seconds). Include a checklist so I can repeat this myself.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me deliver difficult feedback using the SBI model (Situation-Behavior-Impact) plus a feedforward request. Provide a script, a short version, and a follow-up note template.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a meeting facilitation playbook: agenda template, timeboxing rules, decision capture, and follow-ups. Then convert my next meeting goal into a runnable agenda.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me influence without authority. Ask for my goal and constraints, then propose a coalition plan: allies, incentives, narratives, and a sequence of asks.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Give me a decision framework for when to coach vs direct. Include situational cues, suggested phrases, and role-play examples for both styles.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Teach me a simple model for empathetic leadership: validate emotion, align on goals, agree next action. Provide sample dialogues for common workplace situations.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Design 5 lightweight rituals for remote teams (async wins, weekly demo, gratitude thread). Include how to keep them from feeling forced.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Coach me through rejection (proposal denied, job rejection, lost deal). Provide a debrief template, how to ask for feedback, and a plan for the next attempt.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a networking system I can run weekly in 30 minutes: outreach templates, follow-up cadence, and a spreadsheet schema for tracking. Focus on give-first value.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Coach me on accepting praise without deflecting. Provide short responses, deeper responses, and how to share credit without minimizing myself.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Train me for Q&A. Provide a set of bridging phrases, a 3-step answer structure, and a practice set of 15 tough questions with suggested answers.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Train me to give a clear 30-second status update under pressure. Provide a template, practice drills, and 10 sample prompts to rehearse.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me craft a 3-minute career narrative for interviews and networking. Provide a structure, examples, and a version tailored to technical leadership.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me define my personal brand in one sentence, 3 proof points, and a portfolio narrative. Provide actions to reinforce it over 60 days.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Teach me rapport techniques that feel natural: naming, summarizing, small disclosures, and shared goals. Provide examples for first meetings and cold intros.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Teach me to uncover hidden constraints using a gentle 5 Whys approach. Provide example dialogues and a checklist to avoid sounding interrogative.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Give me de-escalation scripts for a tense situation at work. Ask for context (stakes, relationships, desired outcome), then generate 3 scripts: assertive, collaborative, and boundary-setting. Include ...
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Rewrite my message to be direct but warm. Provide 3 tones: neutral, friendly, firm. Explain the differences and give me a reusable tone checklist.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Guide me through addressing underperformance: expectations, evidence, support plan, timelines, and documentation. Provide a conversation script and follow-up email.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Coach me on asking clarifying questions confidently. Provide phrasing patterns, when to summarize assumptions, and how to propose options instead of questions.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Audit my messaging habits. Propose rules for when to use Slack vs email vs meeting. Provide templates for concise messages and a weekly cleanup routine.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a playbook for professional disagreement: how to challenge ideas, separate people from problems, and commit after a decision. Include scripts and examples.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Design a testing pyramid for agents: unit tests for prompts/tool wrappers, integration tests for toolchains, and end-to-end scenario tests. Include how to keep tests stable over time.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design audit reporting: what to record, how to summarize tool actions, and how to produce compliance-friendly reports. Include access controls and retention rules.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Help me define team norms that encourage candor and psychological safety. Propose 8 norms, example behaviors, and a rollout plan for adoption.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me address rumors calmly. Provide a communication plan: acknowledge uncertainty, share verified facts, set update cadence, and invite questions. Include templates.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a self-management OS: weekly planning, daily top 3, reflection, and stakeholder updates. Include a template and guidance for sticking to it.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Prepare me for a negotiation. Ask for my BATNA, constraints, and priorities. Then create an opening anchor, concession plan, and 5 objection-handling responses. Include a one-page prep sheet.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Design a 90-second reset protocol for stressful moments (breathing + labeling + reframe). Include a trigger list and a daily practice to build resilience.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me craft a 5-minute talk with a strong opening hook, 3 main points, and a closing call-to-action. Include rehearsal drills and timing markers.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me delegate a task effectively. Convert a task into: outcome, constraints, resources, checkpoints, and definition of done. Provide a delegation message template.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Coach me on handling interruptions in meetings. Provide respectful scripts, body-language tips, and how to support others who are interrupted.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me conduct customer empathy interviews: question bank, avoiding leading questions, note-taking, and synthesis into actionable insights. Provide a 60-minute guide.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Coach me on handling silence in meetings: when to wait, how to invite input, and how to propose a default path. Provide scripts and timing cues.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Teach me how to persuade by asking questions. Provide a question ladder (broad→specific→commitment) and role-play dialogues for 3 scenarios.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a mentoring plan: goals, cadence, skill roadmap, and feedback loops. Include a starter kit of exercises for communication, execution, and confidence.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a mediation plan for conflict between two teammates. Include ground rules, question flow, reframe techniques, and an agreement template.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Teach me to tell a concise story about my project. Turn my raw notes into a 60-second narrative and a 5-slide talk track. Include one metaphor and one concrete example.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a weekly update format for my manager: priorities, progress, risks, asks. Produce a 5-bullet template and guidelines on tone and escalation.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Coach me on offering empathy while maintaining boundaries. Provide phrases for validating feelings, asking needs, and setting limits. Include do/don’t examples.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Design a confidence routine: daily evidence log, weekly reflection, and micro-win planning. Include prompts and a scoring system so I can track progress.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a 1:1 playbook: opening check-in, career growth, blockers, feedback, and action items. Provide 20 high-signal questions and a note-taking template.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a pre-meeting routine to reduce anxiety: preparation checklist, breathing, visualization, and a post-meeting debrief to learn and improve.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Give me a trust-building plan for a new team: quick wins, reliability signals, transparent communication, and consistent follow-through. Include what not to do.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a repair estimate structure: mandatory safety repairs, recommended maintenance, optional upgrades, parts/labor assumptions, uncertainty, and customer decision points.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Diagnose poor shift quality: synchros, clutch drag, linkage, shift forks, oil choice, chain tension, cassette/derailleur setup for bicycles, and rider technique factors.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a crash damage inspection checklist for cars, motorcycles, and bicycles: alignment, cracks, fasteners, bearings, wheels, suspension, hidden stress points, and when to refer to specialists.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a corrosion assessment workflow: structural vs cosmetic rust, galvanic corrosion, brake/fuel line risk, seized fasteners, bicycle frame materials, and prevention strategy.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Help select materials for custom vehicle parts: aluminum, steel, stainless, titanium, composites, plastics, and 3D-printed materials. Include strength, fatigue, heat, corrosion, and manufacturability ...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a fabrication planning checklist for custom brackets, mounts, and adapters: measurement method, tolerance stack-up, hole alignment, service clearance, vibration, and test fitting.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a high-level welding risk review for vehicle parts: load path, heat-affected zone, material compatibility, distortion, inspection, and when certified fabrication is required.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a risk matrix for 3D-printed vehicle parts: cosmetic, non-critical, load-bearing, heat-exposed, safety-critical. Include material choices, testing, and parts that should not be printed casually...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a workshop safety audit: lifting/support, fire risk, battery handling, ventilation, chemicals, rotating machinery, PPE, and tool condition. Include a monthly inspection checklist.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a safety checklist for lifting/supporting cars, motorcycles, and bicycles: lift points, stands, wheel chocks, stability, center of gravity, and final shake test before work.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a diagnostic note template: complaint, conditions, tests performed, measurements, interpretation, repair recommendation, and validation result. Make it suitable for workshop records and custome...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Rewrite technical repair findings into clear customer language. Provide versions for budget-conscious, safety-critical, and enthusiast customers. Include what to show with photos or measurements.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a clutch diagnostic flow for cars and motorcycles: slip, drag, chatter, engagement point, hydraulic/cable actuation, friction material, flywheel/basket, and adjustment.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a parts selection framework comparing OEM, aftermarket, used, rebuilt, and performance parts. Include safety-critical categories, warranty, fitment risk, and customer budget.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a checklist to reduce counterfeit parts risk: packaging signs, supplier reputation, pricing red flags, part markings, documentation, and high-risk categories like brakes, bearings, filters, and...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a tooling investment plan for an advanced hobbyist or small workshop. Prioritize tools by diagnostic value, safety impact, frequency of use, and calibration needs.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a calibration and measurement accuracy plan for torque wrenches, pressure gauges, calipers, multimeters, spoke tension meters, and scan tools. Include intervals and records.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a track day preparation checklist for cars or motorcycles: brakes, tires, fluids, suspension, fasteners, safety gear, data logging, and post-session inspection.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a long-distance touring checklist for cars, motorcycles, and bicycles: consumables, spares, tools, tires, documents, route risks, and field repair priorities.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an off-road preparation plan: tires, suspension, protection, cooling, drivetrain stress, recovery equipment, field repairs, and post-trip inspection.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a winterization/storage plan for cars, motorcycles, and bicycles: fuel, battery, tires, moisture, lubrication, covers, and spring recommissioning checklist.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design a post-repair validation plan: static checks, low-speed test, load test, thermal cycle, scan recheck, leak check, and customer handoff notes.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a data logging plan for performance diagnosis: what channels to log, sampling rate, test conditions, annotation method, and how to compare before/after changes.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a dyno session plan: baseline runs, environmental corrections, AFR/boost/ignition monitoring, safety checks, and interpreting torque curves. Include what not to overinterpret.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a high-level safety-oriented service plan for EV/hybrid work: high-voltage awareness, isolation procedures to verify from manufacturer info, PPE considerations, and jobs that require certified ...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Teach me to interpret tire wear patterns: cupping, feathering, shoulder wear, center wear, flat spots, heat cycles, and sidewall damage. Map each pattern to likely causes and next checks.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a diagnostic flow for wheel bearings and hubs. Include noise by load direction, free play, heat, roughness, seal condition, installation errors, and post-service validation.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a drivetrain wear assessment for motorcycles and bicycles: chain stretch, sprocket/chainring wear, cassette condition, belt tension, alignment, lubrication, and replacement strategy.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Help diagnose automotive driveline symptoms: clunk, whine, vibration, shudder, backlash, or load-dependent noise. Include differential, CV joints, U-joints, mounts, transmission, and tires in the hypo...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an engine misfire diagnostic tree: ignition, fuel, compression, vacuum leaks, sensors, wiring, ECU data, and mechanical timing. Include test order and evidence required before replacing parts.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Interpret OBD-II data like a technician: freeze frame, fuel trims, misfire counters, oxygen sensor behavior, MAF/MAP plausibility, and readiness monitors. Provide a diagnostic worksheet.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a fuel trim analysis workflow: STFT/LTFT by idle/load, vacuum leak indicators, MAF/MAP errors, injector issues, fuel pressure, exhaust leaks, and sensor plausibility checks.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an electrical diagnostic plan using voltage drop testing. Include battery health, grounds, connectors, relays, fuses, load testing, intermittent faults, and documentation of measured values.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design a CAN/LIN/network fault triage workflow for modern vehicles: topology, termination checks, DTC grouping, module wake/sleep behavior, bus voltage, and when to suspect wiring vs module faults.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a charging system diagnostic plan for cars and motorcycles: battery state, alternator/stator output, regulator/rectifier, parasitic draw, grounds, connectors, and load testing.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design a parasitic draw diagnostic workflow: sleep timing, current measurement, fuse isolation, module wake-ups, aftermarket accessories, and safe meter setup. Include a documentation table.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an ECU tuning risk review: fuel, ignition, boost, knock detection, temperatures, emissions/legal considerations, and validation steps. Keep it safety- and compliance-focused.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a cooling system diagnostic tree: thermostat, radiator, fan control, water pump, pressure cap, air pockets, head gasket indicators, coolant condition, and leak testing.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a lubrication strategy for engines, gearboxes, chains, and bicycle drivetrains. Include viscosity, service intervals, contamination signs, oil analysis, and operating condition adjustments.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Explain how to interpret compression and leakdown results. Provide a workflow to distinguish rings, valves, head gasket, cam timing, and test setup errors.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a carburetor tuning diagnostic flow for motorcycles: pilot circuit, needle, main jet, float height, choke/enrichment, vacuum leaks, plug reading, and altitude/temperature effects.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a fuel injection sensor plausibility checklist: TPS, MAP/MAF, IAT, ECT, crank/cam sensors, O2/AFR sensors, and wiring. Include expected relationships under different operating conditions.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an exhaust diagnostic plan: pre/post-sensor leaks, catalyst efficiency, backpressure, rattles, mounts, and heat shielding. Include test order and safety cautions.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an alignment strategy across vehicle types: toe, camber, caster, thrust angle, frame/fork alignment, wheel dish, and how alignment affects tire wear and handling.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a bicycle shifting diagnosis workflow: cable tension, hanger alignment, chain/cassette wear, derailleur limit screws, B-tension, housing friction, and electronic shifting checks.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an advanced bicycle wheel build/truing checklist: spoke tension balance, lateral/radial true, dish, stress relief, spoke windup, and post-build settling inspection.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Explain motorcycle chain alignment and how it interacts with suspension travel, sprocket wear, swingarm angle, and rear wheel alignment. Provide an inspection and adjustment checklist.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a two-week food plan designed to avoid panic buying. Include shelf-stable menu ideas, rotation strategy, nutrition basics, and minimal cooking methods.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Create a high-level checklist for modification legality and inspection readiness: lighting, emissions, noise, structural changes, insurance disclosure, and documentation. Keep it non-legal-advice and ...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a QC checklist for custom wiring/harness work: wire gauge, fuse sizing, strain relief, connectors, sealing, routing, labeling, and final load testing.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a checklist for installing and calibrating sensors: placement, wiring, shielding, grounding, plausibility checks, data logging, and failure detection.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a vibration-proofing strategy for accessories: mounts, threadlockers, rubber isolation, cable strain relief, connector retention, and post-install inspection.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
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
Create a diagnostic and maintenance plan for e-bikes: battery health, motor behavior, connectors, sensors, display/controller errors, brakes, drivetrain wear, and safe charging habits.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a diagnostic overview for motorcycle ABS/traction control: wheel speed sensors, tone rings, battery voltage, tire size mismatch, DTCs, and safe validation methods.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an ADAS calibration awareness checklist: camera/radar sensor placement, windshield replacement, alignment impact, ride height changes, and when specialist calibration is required.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a final assembly sign-off checklist for a custom car, motorcycle, or bicycle: fasteners, wiring, brakes, controls, fluids, clearances, road/ride test, and documentation.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a failure analysis report template: part description, operating conditions, fracture/wear observations, possible causes, evidence, corrective actions, and prevention steps.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a two-week pantry plan built from globally common staples with regional substitution tables. Include shopping list, storage tips, and rotation schedule.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a sustainability plan for vehicle maintenance: repair vs replace, fluid disposal, tire lifecycle, refurbished parts, bicycle component reuse, and waste reduction in workshops.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
List globally common pantry staples and culturally flexible substitutions (rice, legumes, canned foods, spices). Provide a 2-week rotation plan.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Act as an executive coach. Ask me 10 diagnostic questions about how I show up in meetings (voice, brevity, stance, framing). Then give a 2-week practice plan with measurable drills and a self-scoring ...
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a complete Brand Voice Bible for a company: tone sliders, banned phrases, signature phrases, grammar rules, audience personas, and 15 example posts across LinkedIn/X/Email. Output: (1) one-page...
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a convincing product demo video plan without screen recording: fictional UI, cursor path, feature beats, and transitions. Provide: storyboard + Sora 2 prompts + caption copy + end-card CTA.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create an SOP for a 2–3 person team to publish at high cadence: roles, weekly rhythm, review gates, asset templates, and KPIs. Include a backlog grooming method and a ‘done’ definition.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Generate a 15-second vertical ad concept and deliverables: shot list, camera moves, lighting, on-screen text, VO script, and a Sora 2-ready prompt per shot. Add 3 hook variants for A/B testing.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Generate 20 chord progressions given constraints: key, mood (bright/dark), genre, and difficulty. For each, output Roman numerals, chord symbols, and a 2-bar comping rhythm suggestion.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create a toolkit for performance anxiety: pre-performance routine, breathing, mental rehearsal, ‘mistake recovery’ tactics, and a 2-week exposure plan. Include a short script for self-talk.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Design an 8-week TOEFL schedule for a busy learner (60–90 min weekdays, 2–3 hours weekends). Include daily tasks, weekly mock structure, and review loops for mistakes.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Create an ABM kit for 10 named target accounts: personalized angle, 3 outreach emails, 2 LinkedIn posts, 1 tailored case study outline, and a landing page variant per segment.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create an FMEA for a custom car, motorcycle, or bicycle modification. Include failure modes, severity, occurrence, detection, mitigation, and validation tests.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a bicycle fit troubleshooting guide: saddle height, reach, stack, cleat position, bar width, knee/hand discomfort patterns, and when to refer to a fit specialist.
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 driver position setup guide: seat distance, steering wheel position, pedal reach, mirror setup, visibility, and performance vs comfort considerations.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a brake upgrade decision framework: thermal capacity, pad compound, rotor size, caliper stiffness, tire grip, ABS interaction, and whether the upgrade solves the real problem.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a suspension upgrade decision framework: springs, dampers, bushings, anti-roll bars, fork/shock upgrades, and geometry changes. Include street, touring, track, and off-road priorities.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a weight reduction plan for cars, motorcycles, or bicycles. Prioritize rotating mass, unsprung mass, safety-critical parts, comfort tradeoffs, and reliability risks.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Explain practical aerodynamics for cars, motorcycles, and bicycles: drag, lift/downforce, rider/driver position, fairings, spoilers, underbody, and when aero changes are meaningful.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an efficiency diagnostic plan: tires, alignment, brakes dragging, fuel trims, driving/riding style, chain lubrication, aero drag, and load. Include before/after measurement strategy.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Diagnose poor coast-down or rolling resistance: brake drag, bearing drag, tire pressure, wheel alignment, drivetrain friction, chain condition, and seal friction.
Author: Assistant
Category: vehicle-engineering-mechanics | 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 parts inventory strategy: fast-moving consumables, safety-critical spares, seasonal items, supplier lead times, min/max levels, and dead stock control.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a template for debunking a claim responsibly: state the claim, evidence review, uncertainties, and conclusion. Emphasize respectful tone and humility.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a pre-purchase inspection checklist for used cars, motorcycles, or bicycles. Include structural, mechanical, electrical, service history, test ride/drive, and negotiation signals.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a restoration plan: condition assessment, parts availability, hidden rust/damage risk, budget phases, labor estimate, documentation, and stop/go decision points.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a reliability-focused upgrade plan for a classic car or motorcycle: cooling, ignition, charging, fuel delivery, brakes, tires, and reversible modifications.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a bicycle touring reliability kit: tools, tubes, patches, chain links, brake pads, cables, bolts, and maintenance checks. Include ultralight vs expedition versions.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a motorcycle roadside repair kit: tire repair, compact tools, electrical basics, chain maintenance, fasteners, tape/zip ties, and safety visibility items.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a car road trip readiness checklist: fluids, belts, hoses, brakes, tires, battery, spare tire/tools, scan check, lights, and emergency supplies.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a workflow to research service manuals, TSBs, recalls, and forum evidence. Include source reliability scoring and how to avoid blindly following forum advice.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design a workshop knowledge base: symptoms, confirmed fixes, torque specs, measurements, photos, parts used, and follow-up results. Include tagging and retrieval strategy.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a training plan for apprentices: safety, tool discipline, diagnostic reasoning, customer communication, measurement accuracy, and staged responsibility. Include evaluation rubrics.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
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
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
Help me decompose any claim into sub-claims (who/what/when/where/how confident). Provide a template and demonstrate with a sample claim I provide.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
List common statistical traps in media (base rates, selection bias, p-hacking, survivorship). Provide a quick “sanity check” checklist for numbers.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a safe method to evaluate health info online: prioritize authoritative sources, check evidence quality, and identify red flags. Emphasize consulting professionals for decisions.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
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 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
Design an around-the-world ticket strategy using flights, long-distance trains, and cruise/ferry segments. Include alliance tickets, one-way/open-jaw alternatives, positioning flights, and when separa...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a slow travel plan that prioritizes scenic trains, ferries, and ships over flights where practical. Include route pacing, rest days, luggage strategy, and budget/luxury accommodation options.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Audit a luxury itinerary and identify which upgrades are truly worth it: premium cabins, lounge access, sleeper cabins, private transfers, hotels near stations/ports, and concierge services. Provide a...
Author: Assistant
Category: world-travel-planning | 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
Compare first-class/high-class rail vs business-class flights for a long-distance route. Include door-to-door time, baggage handling, work productivity, sleep quality, lounge access, and total value.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Design a ship/ferry segment plan: route selection, cabin class, luggage, seasickness preparation, boarding procedures, and arrival logistics. Include budget deck/seat options and luxury cabin options.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Teach me how to locate primary sources behind headlines: official docs, datasets, transcripts, filings, standards, and direct statements. Provide a checklist and example queries.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a strategy to find scenic train routes worldwide. Include how to evaluate route quality, seat side selection, daylight timing, stopover planning, and budget vs luxury rail experiences.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
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 an airport lounge strategy for long multi-leg travel: when lounge access is worth it, how to compare credit card/program access, and when a day hotel or quiet café is better.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
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
Create a border complexity map for my itinerary: visa requirements to verify, transit rules, passport validity, proof-of-onward-travel risks, and buffer recommendations. Keep it general and remind me ...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Design a baggage strategy that works across ships, planes, and trains. Include weight/size limits, carry-on vs checked, station/port stairs, laundry cadence, and luxury vs backpacker packing styles.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a one-bag packing plan for experienced travelers. Include clothing layers, tech, documents, toiletries, laundry system, and adaptations for hot/cold/mixed climates.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a premium luggage and transfer plan: checked bags, porter services, private transfers, hotel luggage forwarding where available, and contingency for lost bags.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Design a jet lag and sleep strategy for multi-continent travel. Include flight timing, light exposure, caffeine, naps, train/ship recovery days, and luxury sleep upgrades worth considering.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a general travel health continuity plan: medication supplies, prescriptions, travel insurance considerations, hydration, sleep, and when to consult a professional. Keep it general and non-medic...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create an offline document backup system for world travel: passport copies, visas, tickets, insurance, emergency contacts, and encrypted digital storage. Include a printed backup checklist.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a workflow to validate company claims using earnings calls, filings, press releases, and reputable coverage. Include a checklist for bias and PR spin.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me to identify sponsorships, affiliate incentives, and conflicts of interest. Provide a checklist and examples of disclosure language to watch for.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Give me a triangulation playbook: how to confirm a claim using 3 independent sources (primary, reputable secondary, and domain expert). Include “independence tests” to avoid circular citations.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a guide to assessing experts: credentials, publications, conflicts of interest, prediction track record, and incentives. Provide a checklist and sample questions.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Give me a 30-minute method to read a research paper: skim order, key questions, common pitfalls, and how to assess whether results generalize.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain how to interpret preprints vs peer-reviewed work. Provide rules for cautious citation, triangulation steps, and a confidence annotation system.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain what signals can suggest AI-generated text/audio/images, and the limits of detection. Provide a cautious approach: what to conclude and what not to conclude.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Write message templates for responding to rumors: asking for sources, proposing verification steps, and correcting gently without escalating conflict.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a checklist for evaluating info from podcasts/YouTube: guest credentials, citations, edits, sponsorships, and cross-checking. Include note-taking template.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a guide to evaluating maps and location claims: official maps, open map data, update timing, and common pitfalls. Include a validation workflow.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Help me assemble a compact offline field manual for trustworthy information: emergency numbers, key references, maps, and verification checklists. Provide a table of contents and print format.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a fast workflow for finding trustworthy information under time pressure. Include: query planning, source triage, verification steps, and a 10-minute “good enough” standard with a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Diagnose steering or handling complaints: vague steering, head shake, tramlining, understeer/oversteer, wobble, or poor turn-in. Include checks for tires, alignment, bearings, suspension, frame/fork c...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Teach me how to judge cybersecurity advice: vendor docs vs blogs, CVE references, reproducibility, and community consensus. Provide a validation checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to validate a Wikipedia claim by following citations to their sources and checking whether the citation truly supports the statement.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a source quality rubric I can score from 0–5 across authority, transparency, evidence, recency, incentives, and track record. Provide examples of how to score a news article, a blog post, and a...
Author: Assistant
Category: information-reliability | Model: GPT-5.2
List 12 red flags for misinformation and low-trust content (manipulative framing, missing methodology, fake experts, etc.). Then show how to rewrite a claim into a testable statement.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a cross-language verification method: search in original language + English, compare local vs international coverage, and detect translation drift. Include a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a personal knowledge base for verification: note schema (claim, source, confidence, date), tagging, and weekly maintenance routine. Provide templates.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Give me a guide to detecting SEO spam: templated prose, missing authorship, affiliate bias, scraped content, and suspicious interlinking. Provide quick heuristics.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Provide an ethics-first guide for online research: privacy boundaries, legal considerations, minimizing harm, and responsible sharing practices.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a guide for capturing sources for later: screenshots, PDFs, citations, and metadata. Include a checklist to preserve context and avoid misquoting.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Give me rules for when to stop researching and decide: diminishing returns, confidence threshold, risk-based depth, and a “next check-in” plan.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
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
Create a budget traveler logistics plan: hostels near stations/ports, lockers, early checkout, late arrivals, and safe transport at odd hours. Include a checklist.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Design a high-end rail itinerary: premium trains, first-class cabins, dining, station hotels, luggage forwarding, and scenic daylight routing. Include value analysis.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
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
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 a pacing plan for experienced travelers: avoid over-scheduling, account for transport fatigue, include buffer days, and choose when to stay longer. Include budget and luxury variants.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a laundry and wardrobe system for long global trips. Include capsule wardrobe, wash schedule, fabric choices, climate transitions, and luxury laundry-service options.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a practical sustainability plan: when to choose rail/ship over air, nonstop vs connecting flights, local operators, and low-waste packing. Keep it realistic, not preachy.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a food-focused itinerary that works for budget and luxury travelers: markets, local eateries, fine dining, food tours, and transport timing. Include dietary and reservation strategy.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a low-profile safety plan for experienced travelers: situational awareness, valuables strategy, transport choices, hotel/hostel routines, and avoiding scams without paranoia.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a travel check-in protocol: who to contact, how often, what to send, and what triggers escalation. Include templates for email, SMS, and messaging apps.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a travel knowledge capture system: notes, expenses, lessons learned, transport reviews, favorite places, and future route ideas. Include a simple daily template.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create backup routing options if a flight, train, or ship segment is canceled. Include same-day alternatives, overnight options, refund/rebook steps, and budget vs luxury recovery choices.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a root-cause diagnosis workflow for an experienced mechanic working on cars, motorcycles, or bicycles. Include symptom capture, hypothesis tree, test order, evidence logging, and a rule for whe...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Help me diagnose NVH symptoms in a vehicle. Ask for speed, load, RPM, gear, road surface, temperature, and recent work. Then produce likely causes, priority tests, and confirmation methods for cars, m...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a preventive maintenance schedule for a vehicle based on use case: commuting, touring, track days, off-road, delivery, or winter storage. Include inspection intervals, wear indicators, consumab...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Generate a professional inspection checklist for cars, motorcycles, and bicycles before and after service. Include safety-critical items, torque marks, fluid leaks, fastener checks, test ride/drive cr...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a fastener discipline guide: torque specs, thread condition, lubrication effects, torque angle, stretch bolts, threadlockers, anti-seize, and witness marks. Include mistakes that experienced me...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design a brake diagnostic plan for hydraulic and mechanical systems. Include pedal/lever feel, pad/rotor condition, fluid condition, air contamination, caliper movement, alignment, bedding, and safety...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Explain a brake bedding procedure conceptually and create a performance verification checklist. Include temperature management, pedal/lever feel, rotor transfer layer, noise symptoms, and when to re-i...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a troubleshooting guide for bleeding hydraulic brakes or clutches. Include air sources, master/slave cylinder behavior, hose routing, reverse bleeding, vacuum bleeding, and signs of internal se...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a suspension setup workflow for cars, motorcycles, and bicycles. Include sag, preload, compression/rebound damping, ride height, geometry effects, tire pressure interaction, and a test loop for...
Author: Assistant
Category: vehicle-engineering-mechanics | 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
Create a photography logistics plan for travel by ship, plane, and train: gear packing, battery charging, window/reflection tips, security, and when to use lightweight setups.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a decision framework for travel insurance: medical, evacuation, cancellation, baggage, cruise/ship coverage, adventure exclusions, and credit card protections. Keep it general and not legal adv...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a risk register for my global itinerary: transport strikes, weather, missed connections, border issues, health, theft, and political/civil disruptions. Include mitigation, triggers, and backup ...
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 a points/miles strategy for a multi-region trip. Include when to redeem miles vs pay cash, positioning flights, transfer partners, stopovers, and avoiding poor-value redemptions.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Compare rail passes vs point-to-point tickets for Europe, Japan, India, North America, and other regions. Include reservation fees, flexibility, route density, and when passes fail.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a price monitoring system for flights and trains: fare alerts, target prices, booking windows, holiday demand, and buy/hold decision rules. Include a spreadsheet schema.
Author: Assistant
Category: world-travel-planning | 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 payment strategy for multiple countries: cards, cash, ATM fees, dynamic currency conversion, backup cards, and emergency cash. Include budget and luxury traveler versions.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a concise brief I can send to a concierge/travel advisor. Include preferences, constraints, dietary needs, seating/cabin preferences, transfer expectations, and non-negotiables.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Design a connectivity plan for experienced travelers: eSIM, local SIM, roaming, offline maps, VPN basics, and backup communication. Include options for budget and luxury convenience.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a digital security checklist: device backups, password manager, 2FA, public Wi-Fi risk, lost-device plan, and secure document storage. Keep it practical and non-paranoid.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a productivity plan for working while traveling by ship, train, and airplane. Include offline work blocks, power planning, connectivity assumptions, and recovery days.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Design a luxury remote-work travel setup: business class/first class, premium rail lounges, quiet hotels, portable workstation, and concierge logistics. Include ROI justification.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
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
Create a cultural etiquette guide for transport worldwide: quiet cars, queues, cabin behavior, meal norms, tipping, and shared-space courtesy. Include examples for budget and luxury contexts.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a food strategy for long train, ship, and airplane days. Include when to bring food, dietary restrictions, hydration, local snacks, lounge/dining upgrades, and avoiding overpaying.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a motion comfort plan for ships, trains, and flights: cabin/seat selection, timing, hydration, rest, and when to ask a professional about medication options.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a seat/cabin selection guide for experienced travelers: plane seat, train berth, ferry cabin, ship deck, noise levels, motion, views, and privacy. Include budget and luxury recommendations.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create transfer buffer rules for airplane→train, train→ship, ship→airplane, and train→train connections. Include immigration, baggage, port transfers, and delay risk.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a port logistics checklist: arrival time, luggage, boarding documents, terminal transfers, local transport, and disembarkation planning. Include cruise, ferry, and cargo/passenger ship contexts...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create an airport strategy for complex itineraries: security timing, lounge use, terminal changes, baggage recheck, immigration, and recovery plans for missed connections.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a major train station strategy: platform changes, ticket validation, luggage storage, food, station hotels, and transfer timing. Include advice for Europe, Asia, and North America.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Design a 2-hour agenda for a New Year catch-up: arrival ritual, structured conversation prompts, shared snack break, and a closing toast. Provide a remote-friendly version too.
Author: Assistant
Category: event-planning | Model: gpt-4o
Draft a one-page New Year letter to a friend/family member: 3 specific memories from last year, 2 qualities you admire, 1 apology or appreciation, and 3 hopes for their next year. Provide a warm versi...
Author: Assistant
Category: relationships | Model: gpt-4o
Create a 12-second micro-ad: hook (0–2s), feature (2–8s), payoff (8–12s). Provide prompts with text overlay constraints and CTA options.
Author: Assistant
Category: performance-creative | Model: gpt-4o
Generate a 60-second vertical video: cinematic product reveal of a minimalist handheld gadget. Include shot list (12 shots), camera moves, lighting notes, on-screen text, and VO script. Output both a ...
Author: Assistant
Category: video-prompting | Model: gpt-4o
Design an MTSS-aligned triage rubric: Tier 1/2/3 indicators, referral thresholds, documentation fields, and follow-up timelines. Include an escalation flowchart.
Author: Assistant
Category: student-support-systems | Model: gpt-4o
Create a transition plan for transferring/new students: records review, placement, peer buddy, and 2-week check-in schedule. Include parent welcome message template.
Author: Assistant
Category: student-onboarding | Model: gpt-4o
Simulate a 4th-and-2 decision: present model recommendation (go/punt), coach’s context, and fan poll. Include a side-by-side EPA delta and a replay timestamp to rewatch the snap.
Author: Assistant
Category: interactive-analytics | Model: gpt-4o
Dissect a 2-minute drill: tempo calls, sideline usage, clock math. Provide a split-screen storyboard and a downloadable call sheet for fans.
Author: Assistant
Category: strategy-explainer-downloadable | Model: gpt-4o
Visualize shape shifts in/out of possession. Provide three freeze-frame moments with pressing triggers and rest-defense shape. Include one coaching cue per line.
Author: Assistant
Category: tactics-explainer | Model: gpt-4o
Design a 2-week study plan covering basic networking, OS fundamentals, and web security (OWASP Top 10). Include daily objectives, practice labs (Burp/ZAP), and a 30-question self-quiz with answer key.
Author: Assistant
Category: learning-path | Model: gpt-4o
Architect a retrieval stack with hybrid search, temporal decay, dedup, and passage-level citation anchors. Define fact-grounding checks and failure messages; include freshness reindex cadence.
Author: Assistant
Category: retrieval-grounding-LLM | Model: gpt-4o
Build a ladder of micro-habits (2–5 minutes) that scale toward macro outcomes (fitness, study, writing). Include habit stacking, trigger design, and a 30-day tracker.
Author: Assistant
Category: time-management | Model: gpt-4o
Design a twice-daily email triage with labels, 2-minute rule, and canned responses. Include an inbox-zero endgame and escalation path for critical messages.
Author: Assistant
Category: time-management | Model: gpt-4o
Create a modular skateboard chassis supporting 3 wheelbases, 2 battery sizes, and 2 motor configs. Provide hardpoint map, NVH isolation strategy, and manufacturing BOM deltas.
Author: Assistant
Category: platform-architecture-auto | Model: gpt-4o
Define CAB goals, member mix, cadence, and agenda templates. Output a 2 quarter content plan and feedback integration path.
Author: Assistant
Category: customer-councils | Model: gpt-4o
Create a 2 week field research sprint with recruitment, scripts, and synthesis formats. Output 10 insights and 3 experiments to run.
Author: Assistant
Category: insight-generation | Model: gpt-4o
Use outcome driven innovation to turn customer jobs into measurable outcomes. Prioritize with RICE and produce a 2 quarter roadmap plus weekly discovery cadence.
Author: Assistant
Category: product-strategy | Model: gpt-4o
Build a 1-2 night bikepacking plan: route grade %, surface mix, water resupply, soft bags vs racks, and repair kit specifics. Export pack list CSV.
Author: Assistant
Category: bikepacking-planning | Model: gpt-4o
Act as a TOEFL coach. Build a 4-week plan from an initial mini-diagnostic (10 RW questions, 10 Listening, 2 Speaking prompts, 1 short Writing). Output: skill profile, weekly goals, daily 60–90m blocks...
Author: Assistant
Category: exam-prep | Model: gpt-4o
Plan a 2-3 day ADV loop: mixed surfaces, fuel stops, camp spots, and weather alternates. Output GPX waypoints with descriptions and mileage.
Author: Assistant
Category: motorcycle-routing | Model: gpt-4o
Create a modular 3-season gear list with must/optional items and weight targets for weekend (1–2 nights) and multi-day (3–5 nights). Include an ultralight swap table and a CSV checklist ready for prin...
Author: Assistant
Category: camping-planning | Model: gpt-4o
Design a 3-day meal plan at 2,800 kcal/day with macros, cook vs cold-soak options, fuel estimates, and pack volume notes. Output shopping list and prep timeline.
Author: Assistant
Category: camp-kitchen | Model: gpt-4o
Outline a 2-hour practice session mimicking PSAT sections, with pacing alarms, mindfulness breaks, and a post-mortem form for next steps.
Author: Assistant
Category: mock-PSAT | Model: gpt-4o
Provide two academic mini-lectures (2–3 min audio scripts) and one conversation transcript with realistic distractors. Add Cornell note template, key-signal words list, and scoring rubric for summary ...
Author: Assistant
Category: listening | Model: gpt-4o
Build a 4-week AWL-based vocab plan: 25 words/day with collocations, affixes, example sentences, mini-quizzes, and spaced repetition schedule (SM-2 style). Export CSV wordlist.
Author: Assistant
Category: vocabulary | Model: gpt-4o
Create per-module pace plans, checkpoint cues, hydration/snack strategy, and 2-minute reset routines to reduce anxiety.
Author: Assistant
Category: performance-SAT | Model: gpt-4o
Generate 6 practice prompts (2 per task type), timing cues, sample high-band responses, and a self-evaluation rubric (delivery, language use, topic development). Include filler-word reduction drills.
Author: Assistant
Category: speaking | Model: gpt-4o
Provide 40 micro-drills: photo description cues (Part 1) and response-type patterns (Part 2). Add intonation tips and common distractors list.
Author: Assistant
Category: listening-drills | Model: gpt-4o
Lay out a practice protocol mirroring official timing. Provide printable bubble sheet, checkpoints, and post-test error taxonomy.
Author: Assistant
Category: mock-test-TOEIC | Model: gpt-4o
Act as a foodie planner. Craft two days: Dotonbori night lights, Kuromon Market breakfast, Osaka Castle, Umeda Sky Building, and Shinsekai skewers. Include must-try dishes and queues strategy.
Author: Assistant
Category: itinerary-food | Model: gpt-4o
Act as a Kyoto concierge. Plan two days: Kiyomizu-dera, Gion stroll, Kinkaku-ji, Philosopher’s Path, Nishiki Market, and a tea ceremony. Include crowd-avoidance timings and bus vs rail picks.
Author: Assistant
Category: itinerary | Model: gpt-4o
You are a show floor captain. Define roles, coverage grid, break discipline, qualifying questions, handoff script to AEs, and a “no phone zone” policy. Include a 2-minute daily huddle agenda.
Author: Assistant
Category: trade-show | Model: gpt-4o
Act as a strategist. Synthesize floor learnings into a 2×2 landscape, capability table, and “white space” list. Propose 3 experiments to close gaps in 90 days.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a biosafety officer. Draft BSL-2 SOPs: PPE, waste, spill response, sharps, incident reporting, and training logs. Include a lab signage kit and audit checklist.
Author: Assistant
Category: lab-safety | Model: gpt-5
You are a productivity strategist. Create an email triage flow for phones: 'Reply-Now' vs 'Schedule/Later' lists, 5 canned responses, smart filters, and a 10-minute end-of-ride sweep. Provide a step-b...
Author: Assistant
Category: productivity | Model: gpt-5
You are a comms trainer. Design a 2-hour tabletop crisis drill: scenario, injects, decision logs, cross-functional roles, external comms artifacts, and scoring rubric. Include a debrief template.
Author: Assistant
Category: PR | Model: gpt-4o
You are a DAM architect. Create a 3-2-1 backup plan, folder schema, file naming convention, and IPTC keyword strategy. Include cloud and offline options plus a restore drill.
Author: Assistant
Category: photography | Model: gpt-4o
Act as a principal engineer. Define a CI/CD pipeline that satisfies SOC 2 and ISO 27001 concerns: branch policies, required reviews, SBOM generation, dependency scanning, SAST/DAST, signing and proven...
Author: tsubasa
Category: engineering | Model: gpt-4o
Design a CTS plan that balances skew, latency, and power for a 1.2 GHz domain with multiple clock gating islands. Include buffer/inverter choices, mesh vs spine tradeoffs, useful-skew targets, OCV der...
Author: Assistant
Category: chip-design | Model: gpt-4
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
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
Build a loop that collects model errors/failures and proposes prompt edits. Steps: (1) bucket failures, (2) extract missing instructions, (3) propose deltas, (4) generate 3 patched prompts, (5) quick ...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Design a fireside/winter dessert set for China using street sweets (tanghulu, ginger candies). Include temperature/texture cues, topping ideas, and a short cultural note (1–2 sentences). Output as a m...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Map a tea‑house route for a cold day in China. At each stop pair Sichuan málà hotpot, Beijing mutton hotpot, Chaoshan beef hotpot dish with a specific tea/infusion and a 2‑line tasting note. Output as...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Map a tea‑house route for a cold day in Korea. At each stop pair traditional tea houses & sikhye dish with a specific tea/infusion and a 2‑line tasting note. Output as route list.
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Curate a winter‑holiday food table for UK (England). Spotlight steak & ale pie, roast dinners, mulled cider treats. Return a 2‑column markdown table: tradition/context → dish & how to enjoy it, with r...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Design a fireside/winter dessert set for Japan using mochi & zenzai (oshiruko). Include temperature/texture cues, topping ideas, and a short cultural note (1–2 sentences). Output as a menu card.
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Curate a winter‑holiday food table for India. Spotlight masala chai & snacks. Return a 2‑column markdown table: tradition/context → dish & how to enjoy it, with regional variations and non‑alcoholic d...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Curate a winter‑holiday food table for Taiwan. Spotlight beef noodle soup, oyster vermicelli, ginger duck, sesame oil chicken, tangyuan, warm douhua. Return a 2‑column markdown table: tradition/contex...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Select 8 west‑facing viewpoints in Ladakh, India for sunset and 2 afterglow bonus spots. Provide foreground options and safety exits after dark.
Author: Inspire Search Corp.
Category: Travel Photography (Asia) | Model: gpt-5-thinking
Build a sunrise‑only plan for Yellowstone & Grand Teton, USA: 6 stops within 2.5 hours. Include civil/nautical times, backup angles if clouds roll in, and quick transport hops.
Author: Inspire Search Corp.
Category: Travel Photography (USA) | Model: gpt-5-thinking
Build a sunrise‑only plan for Hokkaido, Japan: 6 stops within 2.5 hours. Include civil/nautical times, backup angles if clouds roll in, and quick transport hops.
Author: Inspire Search Corp.
Category: Travel Photography (Asia) | Model: gpt-5-thinking
You are a senior social strategist. Build detailed audience personas (pain points, goals, buying triggers) for 3 priority platforms: Instagram, TikTok, LinkedIn. Then design a growth plan per platfor...
Author: Inspire Search Corp.
Category: Strategy | Model: gpt-5-thinking
Transform 5 case studies into snackable social assets: 3 carousels, 3 short videos, 2 threads, 4 story frames per case. Add proof mechanics (numbers, quotes, screenshots) and CTAs for demo/book a call...
Author: Inspire Search Corp.
Category: Content | Model: gpt-5-thinking
Design a repurposing workflow: take 5 blog posts and convert each into 1 LinkedIn carousel, 1 X thread, 2 Reels/Shorts, 4 Stories. Include prompt templates and a naming/UTM convention.
Author: Inspire Search Corp.
Category: Operations | Model: gpt-5-thinking
Design a 5‑post onboarding series that new followers see over 2 weeks: intro, big promise, proof, quick win, community invite.
Author: Inspire Search Corp.
Category: Growth | Model: gpt-5-thinking
Design a LinkedIn posting OS for 3 executives (CEO, CTO, VP Sales): - Weekly cadence (2 thought-leadership, 1 POV, 1 customer story) - Commenting protocol on partner/customer posts - DM follow-up temp...
Author: Inspire Search Corp.
Category: Enterprise | Model: gpt-5-thinking
Goal: deploy real-time anomaly detection and alerting. Data: streaming events and KPIs. Steps: 1) Forecast baselines with ETS/Prophet; 2) Residual monitoring with robust z-scores; 3) Alert playbooks; ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: stitch cross-device journeys. Data: login IDs, hashed emails, device graph. Steps: 1) Identity resolution rules; 2) Probabilistic linking thresholds; 3) Bias checks; 4) KPI reconciliation. Outpu...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: track feature adoption lifecycle. Data: feature flags + events. Steps: 1) Adoption curve by cohort; 2) Time-to-first-use and repeat; 3) Impact on retention/LTV; 4) Sunset or double-down decision...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: compare mobile vs desktop behavior. Data: GA4 device category segmentation. Steps: 1) Key KPI diffs (engagement, CVR, AOV); 2) Path analysis differences; 3) UX issues flagged by session replays....
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: analyze pricing page sensitivity and elasticity. Data: pricing page events, trials, conversions, order values. Steps: 1) Build exposure cohorts by price/test; 2) Demand curve fit; 3) Elasticity ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: detect robots/scrapers from logs. Data: server logs (CDN/WAF), GA4 anomalies. Steps: 1) UA/IP reputation, JA3/TLS fingerprints; 2) Request-rate and path entropy anomalies; 3) Honeypot endpoints;...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: design segmentation and CDP activation. Data: events, traits, CRM. Steps: 1) Build segments (recency, behavior, value); 2) Define activation triggers; 3) Map to channels via CDP (e.g., Segment);...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: quantify Core Web Vitals impact on conversion. Data: CrUX or RUM data for LCP/INP/CLS + conversions. Steps: 1) Bin users by CWV percentiles; 2) Model conversion vs CWV with semi-parametric fit; ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: generate CRO hypotheses backed by evidence. Data: funnels, heatmaps, surveys, NPS, session replays. Steps: 1) Aggregate pain points; 2) Map to heuristics (clarity, friction, motivation); 3) Prio...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: predict churn propensity and design save flows. Data: user activity, support tickets, billing events. Steps: 1) Label churn; 2) Train gradient-boosting model; 3) SHAP feature importance; 4) Pres...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: analyze onboarding paths with Markov Chains. Data: event sequences for new users first 7 days. Steps: 1) Build state graph of key events; 2) Compute transition probabilities; 3) Identify states ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: mine internal site search for intent gaps. Data: GA4 view_search_results and search_term params. Steps: 1) Top queries with zero-results; 2) CTR to result pages; 3) Query clusters using embeddin...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: synthesize scroll depth with heatmap insights. Data: GA4 scroll events, heatmap tool exports (e.g., Hotjar). Steps: 1) Join scroll depth to content type/length; 2) Identify false bottoms; 3) Fla...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: check experiment readiness and sample size. Data: baseline conversion, traffic, variance. Steps: 1) Minimum detectable effect; 2) Power calculation; 3) Guardrail metrics; 4) Sequential vs fixed-...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: compare attribution approaches. Data: multi-touch journeys (GA4 pathing + ad click logs). Steps: 1) Build rule-based (last/first/linear/time-decay); 2) Build Markov and Shapley using transition ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: model LTV with RFM and Pareto/NBD. Data: orders table + GA4 user_id mapping. Steps: 1) Derive Recency, Frequency, Monetary; 2) Fit Pareto/NBD (BG/NBD) and Gamma-Gamma for monetary; 3) Validate w...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: analyze cohort retention and power-user curve. Data: GA4 users and events, subscription logs if applicable. Steps: 1) Build weekly cohorts by first_visit; 2) Compute W1–W12 retention; 3) Plot po...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: diagnose funnel drop-offs for {GOAL_EVENT}. Data: GA4 BigQuery events with event_params. Steps: 1) Construct funnel steps; 2) Use event timestamps to compute step conversion; 3) Segment by devic...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: define sessionization robustly and filter bots. Data: raw web logs + GA4 BigQuery. Steps: 1) Build session rules (30m inactivity, campaign change resets); 2) Bot filters using IP ranges, UA rege...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: audit source/medium quality and UTM hygiene for {START_DATE}–{END_DATE}. Data: GA4 BigQuery export `{PROJECT}.{DATASET}.events_*`, ad platform logs, server-side UTMs. Steps: 1) Classify sessions...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: assess volatility regime and tail‑risk pricing. Perplexity: compile narratives on VIX, MOVE, skew, and realized vs implied. Bloomberg: OMON<GO> for options surface; HP<GO> for realized vol; GP<G...
Author: Tsubasa Kato
Category: Market Analysis | 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
Use JTBD to propose next‑gen product ideas for {target_user} in {domain}. Steps: 1) Extract core jobs + anxieties + desired outcomes from top reviews/discussions (assume sample provided), 2) Map under...
Author: Tsubasa Kato
Category: Product Ideation | Model: gpt-5
Plan a relaxed 2-day itinerary for {{city}} with 2 must-see spots, 2 hidden gems, lunch and dinner ideas, transit tips, and a weather fallback. Add an optional kid-friendly or accessibility note.
Author: ChatGPT
Category: Lifestyle | Model: gpt-5
Given goals {{goals}}, produce a daily plan with 3 most-important tasks, time blocks, and a 2-minute version for busy days. Include an end-of-day reflection checklist and tomorrow’s first step.
Author: ChatGPT
Category: Productivity | Model: gpt-5
Design a carbon-aware scheduling policy for {{workload_type}} on {{cluster_desc}}. Include: - Grid carbon intensity inputs ({{region_codes}}) + renewable forecasts - GPU tactics: mixed-precision, quan...
Author: Tsubasa Kato
Category: architecture | Model: gpt-5-thinking
Coach the founder to perform on camera. Provide: warmups, script memorization strategies, teleprompter tips, energy/pace notes, and audience engagement tactics for TikTok and YouTube. Include a 2-week...
Author: Tsubasa Kato
Category: enablement | Model: gpt-5-thinking
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
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
Threat-model feature <feature> using STRIDE. Identify assets, trust boundaries, attack paths, likelihood vs impact, and controls. Map mitigations to standards (ISO/IEC 27001, SOC 2). Output a table of...
Author: ChatGPT
Category: CTO | Model: GPT-5 Thinking
Act as a chief strategy officer. For <company> in <industry>, produce a one-page board brief: 1) three strategic moves with rationale, 2) risks with mitigations, 3) KPI tree and North Star metric, 4) ...
Author: ChatGPT
Category: CEO | 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 supplier-development lead. Deliver: APQP-lite for Tier-2/3: CTQ flowdown, PFMEA starter kit, control plan grid, PPAP evidence list, gauge R&R plan, and logistics milk-run map. Include genba aud...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Deploy LPA across lines. Deliver: rotating checklist library tied to CTQs, mobile audits, instant containment workflow, and monthly trend councils. KPIs: escape rate ↓, audit closure ↑. Output: schedu...
Author: Tsubasa Kato
Category: Quality | Model: GPT-5 Thinking
Act as SOHO network coach. Deliver: site sketch, AP placement, channel plan (2.4/5/6 GHz), interference survey, and roaming check. Budget: consumer mesh or 1–2 SMB APs. KPIs: RSSI, SNR, roam time. Out...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Act as a datacenter reliability lead. Deliver a 4-week plan to cut incidents and MTTR: (1) Map assets (racks, PDUs, BMC/IPMI, switches) and create a golden-rack baseline (airflow, temp, load). (2) Bui...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Act as a SOHO systems coach (<25 staff, minimal IT). Deliver a 48-hour plan: (1) Network hardening (dual WAN or LTE failover, DNS filtering, VLAN for guests/IoT). (2) Backup triad (local NAS + cloud +...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
You are a robotics CI lead. Design a sim-in-the-loop pipeline for perception + planning stacks. Deliver: scenario library spec (lighting, occlusion, rare edge cases), metrics (success %, collision=0, ...
Author: Tsubasa Kato
Category: Engineering | Model: GPT-5 Thinking
Be an IT ops partner for a 200–2,000 seat office. Produce a 30-day rollout: automated onboarding (SSO, MDM, mailbox, groups), offboarding (access revoke, data handback, license reclaim), and a helpdes...
Author: Tsubasa Kato
Category: Strategy | 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
Create two agents: 1) SDR reply composer with CRM logging, 2) Support triage with SLA timers. Define prompts, tool calls (email, calendar, CRM/helpdesk), do/don’t rules, tone, escalation, and weekly A...
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
Copy and paste this list to get instant ideas on framing, leading lines, symmetry, texture, and more. 1. Shoot through a keyhole or gate 2. Use a long exposure in a busy street 3. Play with reflection...
Author: Prompt Generator
Category: Photography Composition | Model: GPT-5, DALLE 3
Create a visually stunning, 2-minute video depicting a solo space traveler exploring a mysterious, abandoned planet. Include vibrant neon lights, ancient alien ruins, and a breathtaking asteroid field...
Author: Prompt Generator
Category: Short Films | Model: GPT-5, GPT-4o, Claude, Sora
Create a breathtaking, 2-minute animated film that takes the viewer on an epic journey through a vibrant, swirling galaxy. Incorporate stunning visual effects and realistic CGI to transport the audien...
Author: Prompt Generator
Category: Adventure | Model: GPT-5, GPT-4o, Claude, Sora
I want to travel across the USA affordably but without sacrificing comfort. Please give me a plan that balances budget and convenience. Include recommendations for transportation (trains, buses, budge...
Author: [email protected]
Category: travel, USA, airline, traveling | Model: GPT-5, GPT-4o, Sonar
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
Run a 2-week sprint to refine ICPs using Jobs-To-Be-Done interviews across JP/US/EU. Provide screeners, scripts, synthesis templates, and positioning statements.
Author: ChatGPT
Category: business | Model: gpt-5
Create an ABM 2.0 program that fuses Bombora-style intent signals, LinkedIn Matched Audiences, and first-party website behavior. Provide target-tiering logic, content offers per buying stage, SDR foll...
Author: ChatGPT
Category: business | Model: gpt-5
Render an 8-second macro night scene of tidepools glowing with bioluminescent plankton when waves lap in. Camera: handheld macro push-in, f/2.0; sparkle trails swirl around hermit crabs. Soft moonligh...
Author: Assistant
Category: Nature | Model: Sora
Take a novel you love and craft a studio-ready adaptation pitch. Provide a logline, theme, target audience, tonal comps, 10-episode or 2-hour structure beats, casting ideas, and what to cut or combine...
Author: ChatGPT
Category: screenwriting | Model: gpt-5
Build a guided tour of sci-fi subgenres such as hard SF, space opera, cyberpunk, solarpunk, cli-fi, and time travel. Provide 2 film picks and 2 book picks per subgenre, plus a one-paragraph primer and...
Author: ChatGPT
Category: film & books | Model: gpt-5
Design a double-sided referral program with fraud prevention and LTV-based rewards. Include copy, trigger points, channel mix (email/LINE/WhatsApp), and dashboard specs.
Author: ChatGPT
Category: business | Model: gpt-5
Create a curated list of underrepresented voices in both books and films. Provide 12 picks with a 2-sentence why-to-watch-read and a pairing prompt for each.
Author: ChatGPT
Category: film & books | Model: gpt-5
Choose 3 authors from different regions and compare voice, structure, recurring obsessions, and cultural context. Provide starter packs with 2 entry titles each and a suggested reading order.
Author: ChatGPT
Category: books | 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
Story Development Prompt: The Techno-Wizard's Rebellion Narrative Focus: Craft a compelling narrative exploring Yara Wexley's transformative journey from privileged techno-wizard heir to revolutio...
Author: [email protected]
Category: prompt, improved prompt demo, sci-fi | Model: Claude 3.5 Haiku, GPT-4o, o3, o4-mini, o4-mini-high
You are an **expert task planner** with a precise, analytical, and user-sensitive communication style. Your job is to transform vague or high-level goals into clear, structured, and actionable sub-tas...
Author: [email protected]
Category: Planning, Plan, Goal | Model: GPT-4.1, GPT-4, o4-mini, o4-mini-high, o3
To evaluate whether a person has advanced knowledge of physics and science, consider the following ten questions covering a range of topics, including theoretical and experimental physics, as well as ...
Author: [email protected]
Category: Evaluation,NLP | Model: GPT-4o,o1,o1-mini