Showing results for "vs"
Draft a national strategy for building cloud infrastructure with foreign investment, including data governance rules, cybersecurity standards, and incentives for local R&D; compare models of data loca...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Design a strategic framework to analyze national investment and policy options in quantum technologies. Consider goals such as technological leadership, security and export controls, international col...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Outline a blueprint for scalable municipal youth mental-health governance, including roles for schools, healthcare providers, families, and youth themselves. Specify metrics for prevention, early inte...
Author: CurioPrompt
Category: Public Policy | Model: gpt-5-nano
Propose a blueprint for a low-cost AI stack that empowers hobbyists, educators, small businesses, and startups to experiment with machine learning. Include hardware options (open hardware vs. embedded...
Author: CurioPrompt
Category: Technology | Model: gpt-5-nano
Analyze how a policy change aimed at suppressing informal, unregistered micro-retailers alters incentives for formal registration, compliance costs, consumer protection, and worker livelihoods in urba...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Analyze how macro policy signals (interest rates, inflation expectations, fiscal incentives), access to credit, and corporate governance influence investment decisions and long-run growth in a develop...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
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 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
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
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
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
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 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
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
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
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
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
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 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
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
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
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
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
Create a cost control plan for makers: stage gates, “must-have vs nice-to-have,” reuse parts, and how to decide when to stop iterating.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design 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 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
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 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
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
Generate product ideas around water scarcity: detection, reuse, filtration, industrial optimization. Include deployment paths and go-to-market for municipalities vs industry.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create 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 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
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 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
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
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
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
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 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
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
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
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
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
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
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 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
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
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
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
Design a real-time alerting system for breaking news: keyword sets, entity lists, source tiers, velocity thresholds, and de-duplication rules. Provide a triage workflow (green/yellow/red) and a playbo...
Author: Assistant
Category: news-ops | Model: gpt-4o
Create a TOEFL Listening note-taking method: shorthand symbols, structure for lectures vs conversations, and how to capture transitions and examples. Provide 10 drills and a self-check checklist.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Provide a guide to train class differences in Asia/Europe/USA: comfort, quiet, seat reservations, and flexibility. Include when upgrades are high ROI and when they’re not.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Define guardrails for automated content: what can be fully automated vs requires review, approval stages, and audit logs. Provide a risk-based approval matrix by channel.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
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
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 two packing lists: what to grab in 10 minutes and what to add in 60 minutes. Include priorities, weight constraints, and a printable checklist.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Create a template for an emergency decision journal: date/time, verified facts, assumptions, next actions, and review cadence. Include examples.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Create a model selection strategy: route tasks by complexity, use smaller models for substeps, and add verifier checks. Include quality/cost tradeoffs and metrics.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a 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
Teach a system for asking for help: context, constraints, proposed solution, and clear ask. Include examples for a junior vs a senior professional and region-specific tone guidance.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Create an algorithmic approach to route planning: start/end constraints, clustering cities, choosing rail vs air segments, and minimizing backtracking. Provide steps and sanity checks.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a rumor-control checklist: how to verify info, prioritize official sources, avoid sharing unverified claims, and handle uncertain situations. Provide a decision tree for ‘share vs wait’.
Author: Assistant
Category: preparedness | Model: gpt-4o
Create an X-prop strategy: when to use X-optimism vs pessimism, initialization, and how to avoid hiding bugs. Provide simulation flags guidance and SVA patterns to detect X-leaks.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Given access patterns and bandwidth, decide between SRAM macro, regfile, and distributed RAM (FPGA). Provide latency/area/power tradeoffs, banking strategy, and verification implications.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Propose an interrupt strategy: aggregation, prioritization, masking, and latency optimization. Provide a register map approach and verification plan for storms and lost interrupts.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Explain common fare types (basic/economy/flexible/refundable) for air and rail, plus bus ticket rules. Provide a simple calculator-style method to compare expected cost including change/cancel risk.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain when elite status is worth it: bag fees, seat selection, lounge, changes, and priority support. Provide a simple value model using my annual trip profile.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
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
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
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 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 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
Provide a high-speed rail ticketing strategy for Europe: reservation rules, advance purchase vs flexible tickets, and how to plan for strike/disruption risk calmly. Include buffer suggestions.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
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 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
Create a strategy for choosing between major vs secondary airports: total cost, transit time, baggage rules, and schedule reliability. Include examples of typical tradeoffs in USA/Europe/Asia.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a partitioning plan for FPGA prototyping/emulation: clocking, transactors, memory modeling, and performance vs visibility tradeoffs. Provide a checklist for achieving stable bring-up.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
For FPGA targets, propose a placement strategy: pblocks/regions, timing-driven placement constraints, and critical path isolation. Include how to balance routability vs performance.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create on-air guardrails: phrases for confirmed vs unconfirmed information, how to avoid definitive language, and how to correct on air. Provide a short ‘anchor card’ reference.
Author: Assistant
Category: production | Model: gpt-4o
Design advanced-level tasks that develop nuance: hedging, register shifts, idioms vs clarity, and rhetorical strategies. Include rubrics and sample outputs.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Design a kanji retention system for Tokyo learners: spaced repetition schedule, handwriting vs typing balance, and weekly mini-quizzes. Include templates.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a plan to become known as reliable: response times, follow-through habits, and communication hygiene. Include a weekly checklist and examples for junior vs senior staff.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Create a group booking strategy: seat adjacency, fare consistency, split payments, and change management. Include bus/rail group policies and when to book together vs separately.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
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 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
Provide a method to act when prices drop: check fare rules, calculate savings after fees, and decide whether to rebook. Include a checklist and example calculation.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a plan to align intercity tickets with local transit: buffer times, late-night service, and fallback options. Include advice for airports vs rail hubs and regional differences.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
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 an error correction strategy guide: recasts, elicitation, delayed correction, and feedback symbols. Include when to correct in fluency vs accuracy activities.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a decision tree for evacuation vs sheltering. Include triggers (official guidance, structural damage, utilities), what to bring, and how to avoid unnecessary risk.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
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
Provide guidance on choosing departure days/times to reduce cost and crowding for bus, train, and flights. Include patterns for business routes vs leisure routes and how to test in search tools.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
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
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
Provide a strategy for airline and rail loyalty: choosing one program, earning/redemption basics, and avoiding junk points. Include a checklist for frequent vs occasional travelers.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create an overnight travel strategy: picking routes, sleep setup, security basics, and arrival timing. Include how to value a night saved from hotel cost vs fatigue.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Given workload and bandwidth, choose cache hierarchy vs scratchpad. Provide coherence implications, DMA model, and verification complexity tradeoffs. Include performance modeling approach.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create rules for attribution and headline writing in fast-moving situations: what to attribute, how to hedge responsibly, and how to avoid amplification of rumors. Provide headline examples (good vs b...
Author: Assistant
Category: verification | Model: gpt-4o
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 decision tree to pick tools by task: writing, image editing, video generation, repurposing, and analytics. Provide selection criteria, workflow examples, and a minimal stack vs pro stack.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Explain how to build executive presence across cultures: speaking style, email tone, meeting behavior, and decision-making cues in USA vs Europe vs Asia. Include do/don’t examples and a practice check...
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Explain when round-trip is cheaper or safer vs one-way or open-jaw. Provide a method to compare total cost plus flexibility and risk.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
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 guide to paying smartly: local currency vs dynamic currency conversion, credit card travel categories, and booking-site currency settings. Include common pitfalls and a simple rule set.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a personal branding plan: positioning statement, content themes, posting cadence, and a 30-post idea bank. Include differences in tone and credibility markers for USA vs Europe vs Asia.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Provide a high-wind/storm plan: securing outdoor items, safe room selection, communication plan, and post-storm checks. Include guidance for high-rise vs low-rise housing.
Author: Assistant
Category: preparedness | Model: gpt-4o
Design a robust reset strategy for FPGA and ASIC: global vs local resets, sequencing, POR behavior, scan considerations, and safe deassertion across domains. Include RTL patterns and verification appr...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Build a decision framework for rail passes vs point-to-point tickets: trip frequency, peak/off-peak, reservations, and flexibility. Provide a worked example template.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a simple decision guide for when to stay put vs relocate based on official guidance and local conditions. Include a checklist for safe departure and what to do if plans change.
Author: Assistant
Category: preparedness | Model: gpt-4o
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
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
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
Provide a framework for choosing IC vs management: strengths, career outcomes, and risk tradeoffs. Include a decision worksheet and a 6-month experiment plan.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Propose a golden model approach: bit-exact C/Python model vs tolerance-based checking, when each is appropriate, and how to keep models consistent with RTL changes. Include sync strategy and versionin...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
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
Explain common rail ticket types (where applicable): advance purchase, off-peak, anytime/flexible. Provide a decision guide to balance cost and flexibility.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
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
Given target throughput, latency, power, area, and interfaces, produce a trade study that maps requirements to candidate microarchitectures (pipeline vs iterative, SIMD vs systolic, cache vs scratchpa...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Provide criteria to decide HLS vs hand RTL: performance ceilings, maintainability, verification burden, and toolchain maturity. Include a recommended hybrid flow and how to validate HLS output.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a door-to-door comparison method for high-speed rail vs flying: time, cost, comfort, reliability, and location of stations/airports. Output a decision rule by trip length.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
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 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
Recommend a basic first-aid learning plan and a sensible kit list. Include what differs for home vs travel, how to label items, and a monthly check routine. Avoid medical diagnosis; focus on general p...
Author: Assistant
Category: preparedness | Model: gpt-4o
Create a comfort-vs-price framework: seat pitch, duration, sleep quality, and total fatigue cost. Provide a recommendation rule for when to upgrade seat or choose another mode.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a decision guide for common US corridors: when rail makes sense vs air, considering stations, security time, and schedule density. Provide a general method applicable to other corridors.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Compare booking through online travel agencies vs direct with operators: support, changes, refunds, and reliability. Provide a decision rule and ‘when not to use an OTA’.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a commuter plan for when trains stop (Japan/India/USA contexts): decision tree (wait vs walk), safe route selection, essentials to carry daily, and etiquette/safety tips.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
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
Create a simple method to choose lower-emission options when practical: rail vs air, nonstop vs connecting, and occupancy considerations. Keep it general and not preachy.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
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
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
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
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
Design a 4-week sight-singing plan: movable-do vs fixed-do options, daily drills, rhythm reading, and weekly checks. Include an AI-assisted feedback workflow for pitch/rhythm.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
For a pipelined design with dependencies, propose hazard management: scoreboarding, bypassing, stalling rules, and correctness proof sketch. Include test scenarios and assertions.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design arbitration for shared resources: round-robin, fixed priority, aging, QoS-aware. Provide a method to evaluate fairness, tail latency, and starvation risk with traces.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Compare urban and rural preparedness needs in Europe/Asia/USA/Africa: transport, utilities, response times, and community resources. Provide tailored checklists for both contexts.
Author: Assistant
Category: preparedness | Model: gpt-4o
Provide a practical guide for when intercity buses beat trains: overnight routes, last-mile station access, pricing, and luggage. Include comfort tips and safety/common-sense selection criteria.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
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
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
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
Build a commuter-focused plan for Europe/Asia/USA/Africa: what to carry daily, what to keep at work, and how to handle delays calmly. Include a minimalist kit and decision rules for when to stay vs go...
Author: Assistant
Category: preparedness | Model: gpt-4o
For an FPGA target, propose how to map multiplies/adds to DSP blocks vs LUTs, including bit-width planning, packing, pipeline stages, and timing considerations. Provide a resource estimation template.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Provide a seat strategy: best seats by aircraft type and train car layout, quiet zones, aisle vs window, families, and motion sensitivity. Include when seat fees are worth paying.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Define a framework to decide when AI is a feature, a workflow, or a product line. Provide examples, pricing implications, and a roadmap template for 2026.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Compare building vs renting an AI supercomputing platform: capacity planning, capex/opex, utilization, networking, storage, and governance. Provide a 3-scenario cost curve and decision criteria.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Build a P&L-style ROI model for deploying agents as digital workers: labor displacement vs augmentation, quality risk, error cost, cycle time reduction, and governance overhead. Provide a template wit...
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Draft a business case for training/fine-tuning a DSLM: scope, data sources, compliance, expected accuracy lift, cost model vs general LLMs, and rollout phases. Include evaluation and drift monitoring.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Create a coupon book of 20 kindness acts (errand, meal, listening session). Include design ideas and how to tailor to partner vs friends vs parents.
Author: Assistant
Category: gifting | Model: gpt-4o
Compare a pre-clock inning vs modern. Show time saved, balls in play, and viewer retention. Include a comment prompt for best era arguments.
Author: Assistant
Category: era-comparison-fan-debate | Model: gpt-4o
Compare BM25 to sentence embeddings for a news corpus. Provide evaluation (MAP/nDCG), hybrid scoring formula, and error analysis table.
Author: Assistant
Category: comparative-analysis-IR | 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 an evaluation harness that measures relevance and faithfulness for IR+LLM answers. Include human labeling rubric and inter-rater checks.
Author: Assistant
Category: eval-framework-IR-LLM | Model: gpt-4o
Create a referral guide with decision points: school-based supports vs external services, confidentiality boundaries, and follow-up. Include a resource list template.
Author: Assistant
Category: referral-management | Model: gpt-4o
Plot xG timeline vs actual goals. Explain variance, key chances, and game state effects. Add ‘what we learned’ bullets and a player-of-the-match poll.
Author: Assistant
Category: data-recap-engagement | Model: gpt-4o
Explain hashing, HMAC, symmetric/asymmetric crypto with student-friendly diagrams. Provide do/don’t implementation notes and a short Python demo.
Author: Assistant
Category: concepts-and-demos | Model: gpt-4o
Help distinguish what the CEO must own vs delegate.
Author: Assistant
Category: leadership | Model: gpt-4o
Create a lightweight decision-making framework for a CEO to evaluate speed vs. risk vs. reversibility.
Author: Assistant
Category: leadership | Model: gpt-4o
Create a mediation script with ground rules, shared goals, active listening prompts, and agreement drafting. Provide variations for elementary vs secondary.
Author: Assistant
Category: restorative-practices | Model: gpt-4o
Explain inverted vs vector vs hybrid index structures. Build a cost/latency model with dataset size from 10K→10M and propose sharding strategy.
Author: Assistant
Category: systems-design-IR | Model: gpt-4o
Compare economic prints and mobility across Shanghai/Beijing vs Lanzhou/Chengdu. Include credit impulse, freight, property starts, and consumption proxies. Output chart brief and 3 hypotheses to test.
Author: Assistant
Category: data-analysis-macroCN | Model: gpt-4o
Plan a polymer AM pilot in Sagamihara: part selection (jigs), print profiles, post-process, and cost model vs machined fixtures. Provide a gate review template.
Author: Assistant
Category: advanced-manufacturing-AM | Model: gpt-4o
Recommend when to use LoRA/QLoRA vs full finetune. Define rank search, target layers, and quantization-aware adapters. Include memory/perf tables per GPU class.
Author: Assistant
Category: parameter-efficient-tuning-LLM | Model: gpt-4o
Write a data governance spec: license screening, PII scrubbing, near-duplicate collapse, contamination checks vs eval sets, and audit trails. Provide rejection reasons and exception handling.
Author: Assistant
Category: data-operations-LLM | Model: gpt-4o
Propose an implementation of speculative decoding with a 1–3B drafter and 13–34B target. Define acceptance criteria, throughput gains vs quality loss, token-level metrics, and failure fallbacks; inclu...
Author: Assistant
Category: inference-acceleration | Model: gpt-4o
Set rules when to quote vs paraphrase; enforce quote length caps and citation proximity. Provide detectors for unattributed paraphrase and a remediation flow.
Author: Assistant
Category: content-governance | Model: gpt-4o
Specify table extraction, PDF figure capture, and caption grounding. Define when to quote vs paraphrase, and include a screenshot-to-citation workflow.
Author: Assistant
Category: content-extraction | Model: gpt-4o
Design a template that compares 3–8 sources across claims, methods, and biases. Provide a scoring rubric and a ‘consensus vs dissent’ table format.
Author: Assistant
Category: synthesis-templates | Model: gpt-4o
Summarize an earnings call transcript into bullets: demand, margin, guidance, capital allocation. Tag surprises vs expectations and list follow-ups.
Author: Assistant
Category: investing-research-ops | Model: gpt-4o
Collect competitor pricing: SaaS tiers vs hardware MSRP and street price, retail promo patterns, food menu bands, movie ticketing and subscription models. Output parity gaps, willingness-to-pay hypoth...
Author: Assistant
Category: pricing-analysis | Model: GPT-5.1
For a target device, outline a hypothetical BOM vs competitors. Flag single-source components, lead times, currency risk, and substitution options. Output a risk heatmap and mitigation plan.
Author: Assistant
Category: supply-risk | Model: GPT-5.1
Analyze food competitors across QSR and fast casual: contribution margin by item, LTO cadence, and upsell ladders. Output a 10-point menu optimization plan.
Author: Assistant
Category: menu-optimization | Model: GPT-5.1
For retail rivals, compute store density vs population and transit nodes. Estimate catchment overlap with us. Output cannibalization risks and new-store priority cells.
Author: Assistant
Category: location-analytics | Model: GPT-5.1
Classify software rivals by motion type: PLG, sales-led, hybrid. Note signals like freemium, demo walls, product tours. Recommend counters per motion.
Author: Assistant
Category: GTM-patterns-software | Model: GPT-5.1
Model architecture choices as options with volatility and expiry. Compare cost to switch later vs now. Output a decision memo and triggers.
Author: Assistant
Category: architectural-decisioning | Model: gpt-4o
Specify a leading vs lagging metric scoreboard for acquisition, activation, retention, and margin. Include review ritual and metric owner map.
Author: Assistant
Category: analytics-ops | Model: gpt-4o
For a target capability, score build vs buy vs partner across speed, cost, risk, and learning value. Output a decision memo with thresholds and kill criteria.
Author: Assistant
Category: strategy-tooling | Model: gpt-4o
Compare D2C and marketplace reliance for rivals. Track take rates, review health, and seller scores. Suggest mix shifts and review-fluency tactics.
Author: Assistant
Category: commerce-strategy | Model: GPT-5.1
Measure flow efficiency vs wait time across intake to delivery. Propose WIP limits and policy changes. Output a kanban health report.
Author: Assistant
Category: lean-ops | Model: gpt-4o
Compare release windows and monetization ladders of rival studios or platforms. Model revenue curves and churn effects. Recommend optimal windowing for our slate.
Author: Assistant
Category: distribution-strategy-film | Model: GPT-5.1
Define a cadence for reversible vs irreversible decisions. Add premortem, postmortem, and decision log templates. Output a 30 60 90 rollout plan.
Author: Assistant
Category: management-ops | Model: gpt-4o
Audit competitors’ organic footprint: keywords, topical authority, backlink quality. Output a content moat plan with 8 pillar pages and 24 spokes.
Author: Assistant
Category: growth-seo | Model: GPT-5.1
Map competitors’ release dates. Suggest counterprogramming windows by genre and audience. Include festival vs holiday trade-offs and trailer drop timing.
Author: Assistant
Category: film-strategy-calendar | Model: GPT-5.1
Benchmark kitchen line design, make times, and delivery surge handling of food rivals. Propose layout or prep changes to raise peak-hour throughput safely.
Author: Assistant
Category: ops-optimization-food | Model: GPT-5.1
Define an RMA process: intake, triage, FA loop, 8D template, and cost recovery. Include US depot vs TW lab routing and customer comms templates.
Author: Assistant
Category: post-market-quality | Model: gpt-4o
Define an end-to-end hardware development plan from EVT→DVT→PVT with sample exit criteria, golden samples, and pilot builds. Note lab vs factory responsibilities in Taiwan and US field tests.
Author: Assistant
Category: hardware-programs | Model: gpt-4o
Outline a D2C + marketplace plan: US (Shopify/Amazon) vs Taiwan (Shopline/Shopee/momo). Include listing SEO, reviews flywheel, couponing rules, return policies, and promo calendar.
Author: Assistant
Category: ecommerce-marketing | Model: gpt-4o
Design a tiered pricing/packaging model with USD vs TWD, psychological price points, tax handling, and freemium vs trial logic. Include willingness-to-pay survey plan and A/B tests for both markets.
Author: Assistant
Category: product-marketing | Model: gpt-4o
Build an SEO + ASO plan for English and Traditional Chinese. Include keyword cannibalization guardrails, hreflang/locale strategy, app metadata split (US vs Taiwan), and link-building ideas by region.
Author: Assistant
Category: growth-seo-aso | Model: gpt-4o
Write a plan for feature flags, A/B tests by locale, guardrail metrics, and exposure logs. Include cultural copy tests (EN vs zh-TW).
Author: Assistant
Category: experimentation-platform | Model: gpt-4o
Given attractions and stay length, compute break-even for city passes vs pay-as-you-go. Include skip-the-line and transit value assumptions. Output a yes or no verdict with reasoning.
Author: Assistant
Category: budget-optimizer | Model: gpt-4o
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
Design a CSV schema and examples for tracking mistakes (Item ID, Type, Reason, Time, Fix plan). Add a visualization brief to spot patterns (e.g., inference vs detail errors).
Author: Assistant
Category: study-tools | 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
Create a decision matrix for common passports across Europe and Asia. Include eVisa vs VOA notes, processing time ranges, and official site check steps. Output a printable checklist and risk flags.
Author: Assistant
Category: visa-prep | Model: gpt-4o
Write step-by-step arrival guides for several European and Asian hubs covering immigration, cash vs ATM, SIM pickup, transit to center, and late-night fallback. Include a 30-minute quick start list.
Author: Assistant
Category: arrival-ops | Model: gpt-4o
Given origin, destination, and dates, compare door-to-door time and cost for budget airlines vs high-speed rail in Europe and Asia. Include airport transfers, security time, and baggage fees.
Author: Assistant
Category: transport-optimizer | Model: gpt-4o
Explain when cash is still king, where cards dominate, and how to use mobile wallets. Include ATM fee minimization and currency exchange rules of thumb.
Author: Assistant
Category: money-knowhow | Model: gpt-4o
Create a matrix comparing hammock/tarp vs tent by climate, trees, ground, bugs, and weight. Add setup diagrams and a cold-butt syndrome fix list.
Author: Assistant
Category: gear-decisions | Model: gpt-4o
Act as a rail strategist. Given trip length, cities, and pace, compare European passes with major Asian regional passes. Output a table of costs, seat reservation needs, pros and cons, and a sample it...
Author: Assistant
Category: travel-planning | Model: gpt-4o
Provide 30 RW data interpretation items (tables, charts) focusing on claims vs evidence, trend language, and misread traps.
Author: Assistant
Category: RW-data-SAT | Model: gpt-4o
Create a planner for e-MTB: elevation vs Wh, assist mode strategy, charging options at camp, and cold-weather range penalties.
Author: Assistant
Category: power-planning-MTB | Model: gpt-4o
Provide a printable formula sheet (algebra, functions, geometry, data) and 60 targeted problems split by no-calc vs calc, with full solutions.
Author: Assistant
Category: math-SAT | Model: gpt-4o
Provide decision rules for campfires vs stoves, safe sites, fire pans, leave-no-scar tactics, and fuel math for canister/alcohol/white gas.
Author: Assistant
Category: camp-kitchen-safety | Model: gpt-4o
Create a simple per-country guide for tipping, service charges, cash vs card acceptance, and contactless habits. Include cafe, taxi, and restaurant examples.
Author: Assistant
Category: money-etiquette | Model: gpt-4o
Compare hard vs soft luggage, weight placement, and quick-access zones. Provide a packing diagram and camp-side unpack/repack routine.
Author: Assistant
Category: motorcycle-gear | Model: gpt-4o
You are a taste tester. Design a side-by-side tasting route for classic Osaka snacks, explain regional styles, and add hidden-gem counters with standing-only etiquette.
Author: Assistant
Category: food-experiment | Model: gpt-4o
Act as a spa guide. Plan a Hakone circuit: ropeway, lake cruise, open-air museum, and an onsen hour. Provide luggage forwarding, day-use vs ryokan night options.
Author: Assistant
Category: relaxation-itinerary | Model: gpt-4o
Act as a culture mentor. Explain shrine vs temple, how to wash hands, bow, ring bells, and make offerings; respectful photography and quiet-zone tips for Kyoto and Tokyo sites.
Author: Assistant
Category: culture-etiquette | Model: gpt-4o
You are a rail-efficient planner. Offer two variants: Kobe food & harbor vs Himeji Castle deep dive. Include train options, walking routes, and dinner back in Osaka.
Author: Assistant
Category: itinerary-choices | Model: gpt-4o
Act as a connectivity coach. Compare eSIM, rental Wi-Fi, and carrier roaming for a multi-city trip. Include pickup/return options and battery-saving tips on the go.
Author: Assistant
Category: tech-basics | Model: gpt-4o
Act as a concierge. Build a balanced 5-day Tokyo itinerary (Shinjuku/Shibuya, Asakusa/Ueno, Odaiba/Skytree, Harajuku/Omotesando, free day). Include transit legs, walk times, ticket tips, rain backups,...
Author: Assistant
Category: travel | 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
Act as a food sherpa. Design a one-day food crawl across Tokyo: breakfast depachika, ramen for lunch, coffee kissaten, conveyor-belt sushi vs omakase, and izakaya night. Include reservation wording an...
Author: Assistant
Category: food | Model: gpt-4o
Act as a trip optimizer. Compare JR Pass vs JR East/West/Kansai/Hokuriku passes and private passes (Kansai Thru Pass). Given a sample route set, output cost break-even, seat reservation notes, and rec...
Author: Assistant
Category: transport | Model: gpt-4o
Act as a shopper’s ally. Explain cash vs cards vs mobile IC payments, where ATMs with foreign cards work, tax-free rules (passport, minimums), and packaging for carrying goods on trains.
Author: Assistant
Category: shopping-basics | Model: gpt-4o
You are a retail navigator. Create two shopping axes: Ginza→Aoyama→Harajuku (Tokyo) and Namba→Shinsaibashi→Umeda (Osaka). Include department stores vs indie boutiques and tax-free counters.
Author: Assistant
Category: shopping-itinerary | Model: gpt-4o
You are a budget planner. Provide sample daily budgets (budget/mid/premium) for each city with transport, meals, attractions, and one “treat yourself” item. Add money-saving swaps.
Author: Assistant
Category: budgeting | Model: gpt-4o
You are a rail guide. Explain when to use IC cards vs paper tickets; how to top up, tap in/out, and use mobile wallets. Add example rides for Tokyo, Yokohama, Kyoto, Osaka, and typical fares. Include ...
Author: Assistant
Category: transport | Model: gpt-4o
Write a CLI that tests regex patterns against files/stdin, prints captured groups, timing, and common pitfalls (greedy vs lazy). Flags: --pattern, --file, --multiline, --ignorecase.
Author: Assistant
Category: cli-tool | Model: gpt-4o
You are an EdTech operator. Map K-12 vs Higher Ed buyer journeys, budget cycles, and pilots. Provide demo narratives for teachers vs admins and FERPA/COPPA notes.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a competitive analyst. Create a one-page card for each competitor: pitch summary, demo claims vs proof, pricing hints, ICP, objection handling, and “watch for” features. Include a rumor vs ver...
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a neuro hospitalist. Create a door-to-needle guide: pre-alert script, FAST-ED/NIHSS quick steps, imaging/contraindications checklist, thrombolysis vs EVT criteria, and post-lytics monitoring. ...
Author: Assistant
Category: neurology-acute | Model: gpt-5
Act as an ortho/sports partner. Provide Ottawa rules, initial management (RICE vs load), return-to-play cues, and when to image/refer. Add home exercise leaflets.
Author: Assistant
Category: musculoskeletal-primarycare | Model: gpt-5
Act as a meta-analyst. Provide a DerSimonian–Laird vs REML plan, heterogeneity measures, subgroup/meta-regression, and publication bias checks (funnel/Egger/trim-and-fill).
Author: Assistant
Category: biostats-methods | Model: gpt-5
You are an eye triage coach. Differentiate benign vs dangerous red eye (uveitis, keratitis, AACG), staining patterns, and urgent referral rules. Include exam tricks without slit lamp.
Author: Assistant
Category: ophthalmology-primarycare | Model: gpt-5
You are a synbio mentor. Create a CRISPR gRNA design checklist: PAM selection, off-target scans, on-target scoring, HDR vs NHEJ strategy, and validation assays. Include a lab notebook template.
Author: Assistant
Category: synthetic-biology | Model: gpt-5
You are a PMO. Produce an AAR template: objective vs results, pipeline lift, win stories, misses, cost variance, and actions with owners and dates. Include a 30-minute exec debrief agenda.
Author: Assistant
Category: trade-show | Model: gpt-4o
Act as a demo director. Write two demo variants: buyer-focused ROI narrative and partner-focused integration story. Include 90-second, 5-minute, and 12-minute cuts, plus talk tracks and proof points.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a metabolomics mentor. Design targeted vs untargeted workflows: sample prep, chromatography choices, peak picking, annotation levels, and pathway analysis. Include QA samples plan.
Author: Assistant
Category: metabolomics | Model: gpt-5
Act as a cardiology educator. Build an ED→obs pathway: immediate ECG, HEART score, troponin strategy, STEMI mimics, discharge vs admit criteria, and shared decision aids. Include a 1-page patient info...
Author: Assistant
Category: cardiology-acute | Model: gpt-5
Act as a wound/derm partner. Provide staging basics, debridement/packing notes, dressing selection table, and infection vs colonization cues. Add follow-up cadence.
Author: Assistant
Category: primarycare-procedures | Model: gpt-5
You are a finance partner. Provide a cost model: booth, travel, labor, collateral, events. Add actuals capture, variance explanations, and ROI tie-backs to pipeline and coverage.
Author: Assistant
Category: trade-show | Model: gpt-4o
Act as a change manager. Design a rapid stakeholder map: influence vs interest grid, communication style notes, and first outreach messages. Output a simple canvas.
Author: Assistant
Category: management | Model: gpt-5
You are an audio advisor. Create headphone profiles for trains: ANC vs transparency, safe volume rules, and 'focus vs awareness' presets. Include a quick check routine.
Author: Assistant
Category: wellness | 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 fashion producer. Plan a budget lookbook: crew roles, moodboard, location permits, natural vs flash looks, and delivery for designers. Provide a call sheet template.
Author: Assistant
Category: photography | Model: gpt-4o
You are a film mentor. Compare 35mm vs medium format, color vs B/W, metering, pushing/pulling, home development basics, and scanning tips. Include cost planning and lab notes.
Author: Assistant
Category: photography | Model: gpt-4o
Act as a copy lead. Provide a modular press release template with placeholders, boilerplate library, quote variations, and localization notes (EN/JP/DE). Include a checklist for wire distribution vs o...
Author: Assistant
Category: PR | Model: gpt-4o
You are an audio engineer. Recommend mic chain (dynamic vs condenser), placement, EQ/comp/DS settings, noise control, room treatment hacks, and a live monitoring checklist. Output presets as JSON.
Author: Assistant
Category: creator | Model: gpt-4o
Act as a maintenance tech. Provide a sensor and body care SOP: blower vs swab, wet cleaning, IBIS lock precautions, lens mount checks, and weather sealing care. Include a service interval table.
Author: Assistant
Category: photography | Model: gpt-4o
You are a motion mentor. Explain interval selection, exposure ramping, flicker reduction, tripod vs gimbal hyperlapse, and render settings. Provide a city route plan template.
Author: Assistant
Category: photography | Model: gpt-4o
You are a YouTube SEO lead. Create a topic cluster and 20 title formulas with keyword stems, curiosity gaps, and brand terms. Include metadata checklist (tags, chapters, description hooks) and a conte...
Author: Assistant
Category: creator | Model: gpt-4o
Act as a strategist. Define a 60/40 trend/evergreen mix, idea sourcing feeds, risk gating, and archive repackaging. Include a monthly audit with decay curves.
Author: Assistant
Category: creator | Model: gpt-4o
You are a localization lead. Create a multilingual plan: auto vs human captions, style guides, glossary, AI dubbing workflow, and regional thumbnail/text swaps. Include accessibility checks.
Author: Assistant
Category: creator | Model: gpt-4o
You are a macro tutor. Explain lighting small subjects, rails vs handheld burst, stacking software, focus step sizing, and dust control. Provide a kitchen-table project plan.
Author: Assistant
Category: photography | Model: gpt-4o
You are a lens advisor. Map primes vs zooms to genres, explain focal length and compression, MTF charts reading, and stabilization trade-offs. Provide budget picks per mount.
Author: Assistant
Category: photography | Model: gpt-4o
Act as a print lab. Explain soft proofing, gamut warnings, perceptual vs relative intents, and paper choices (matte, baryta). Provide test print protocol and evaluation grid.
Author: Assistant
Category: photography | Model: gpt-4o
Act as a lifecycle marketer. Create two newsletter blueprints (SMB, Enterprise): segmentation logic, sample modules, personalization tokens, send cadence, and KPI targets. Provide A/B test ideas.
Author: Assistant
Category: PR | Model: gpt-4o
You are a food stylist. Provide prop selection, color theory for appetizing palettes, natural vs artificial light choices, steam tricks, and a 30-minute restaurant shoot plan.
Author: Assistant
Category: photography | Model: gpt-4o
Act as a business coach. Outline day rates vs per-image, usage licensing, model/property releases, invoicing, and insurance basics. Include templates and a rights FAQ.
Author: Assistant
Category: photography | Model: gpt-4o
You are a systems tutor. Create a 6-week Rust roadmap for engineers moving from C/C++. Cover ownership/borrowing, traits, async, FFI, and building a CLI + service. Provide weekly labs, benchmarks vs C...
Author: Assistant
Category: software | Model: gpt-4o
Act as a privacy engineer. Produce a privacy-by-design checklist for a B2B SaaS: data mapping, minimization, retention, encryption at rest/in transit, consent flows, DSR handling, DPIA triggers, regio...
Author: tsubasa
Category: engineering | Model: gpt-4o
You are a mechanical design lead. For a plastic enclosure (150×90×40 mm) made by injection molding at 5k units, produce a DFM checklist and cost-down plan: parting lines, draft angles, wall thickness,...
Author: tsubasa
Category: mechanical | Model: gpt-4o
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
Create a power integrity plan using backside power delivery and buried power rails. Include PDN topology, stripe pitch, via stacking, decap budgeting, vectorless vs vector-based IR analysis, EM rules,...
Author: Assistant
Category: chip-design | Model: gpt-4
As a reliability engineer, propose a HALT/HASS plan for an IoT gateway (−20 to 60°C, vehicle vibration). Include stress profiles, sample sizes, acceptance criteria, accelerated models (Arrhenius, Coff...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Act as a CTO. Build a roadmap with 3 big bets per horizon (now/next/later), expected impact vs effort, key risks, and kill-criteria. Include a one-slide view for the board and a team backlog mapping.
Author: tsubasa
Category: leadership | Model: gpt-4o
You are a mechanical engineer. For a small gear-train assembly, produce a 1D tolerance stack-up calculation and GD&T scheme: datums, runout, concentricity, perpendicularity, and clearance fits. Show w...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Act as a CTO. Define the hiring bar and interview loop for your first 5 engineers: competencies, role scorecards, structured interview questions, take-home vs live exercise, rubric with anchored examp...
Author: tsubasa
Category: leadership | Model: gpt-4o
Propose a co-design flow with package, board, and die PDN: bump map optimization, RDL planning, target impedance vs frequency, thermal stack-up, and coupled SI/PI/thermal simulations. Include signoff ...
Author: Assistant
Category: chip-design | Model: gpt-4
Create a 12-slide client pitch outline in New York on corporate treasury cash segmentation (operating vs reserve). Slide titles, key proof points, and a call-to-action. Return as a table with slide_no...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write a one-page investor-relations brief for Tokyo with emphasis on TSE Prime vs Standard governance checklist. Include KPIs, macro tailwinds/headwinds, and a Q&A block. Return as Markdown with bulle...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Outline a VQE workflow for estimating ground state energy of a small molecule. Specify ansatz choices (UCCSD vs hardware-efficient), mapping (Jordan–Wigner/Bravyi–Kitaev), optimizer options, and stopp...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Describe how to encode a directed graph into a quantum walk operator. Include oracle construction ideas, coin vs shift operators, and observables to measure. Output a step list and pitfalls to avoid.
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Outline financing/leasing options for machinery upgrades in Lanzhou for SMEs vs larger enterprises. Return a comparison table: option, typical term, upfront %, monthly example, collateral note, pros/c...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Host a friendly winter food showdown between two cities in Korea featuring pojangmacha tent routes (late night). Compare 6 vs 6 dishes and declare contexts where each city shines. Output as a split ta...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Host a friendly winter food showdown between two cities in Taiwan featuring tea pairings (oolong, charcoal‑roast). Compare 6 vs 6 dishes and declare contexts where each city shines. Output as a split ...
Author: Inspire Search Corp.
Category: Culinary (Winter) | 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
Recommend a platform mix and content allocation for SMB vs Enterprise, with budget tiers (organic‑only, light paid, paid+creator).
Author: Inspire Search Corp.
Category: Strategy | Model: gpt-5-thinking
Given target regions (JP, APAC, NA, EU), propose posting windows for each platform. Include weekend vs weekday patterns and a 4‑week timing test plan.
Author: Inspire Search Corp.
Category: Planning | Model: gpt-5-thinking
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: 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: 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: 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: nowcast GDP and inflation using alternative data. Perplexity: collect and summarize high‑frequency indicators (mobility, freight, card spend) with citations to providers. Bloomberg: ECST<GO> and...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: track fund flows and ownership concentration risks. Perplexity: summarize ETF flow narratives and concentration debates. Bloomberg: HDS<GO> for holders; ETF function pages for creations/redempti...
Author: Tsubasa Kato
Category: Market Analysis | 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
Goal: measure equity duration & rates sensitivity for {TICKER}/{PORTFOLIO}. Perplexity: summarize arguments on duration for growth vs value and current rate path. Bloomberg: HP<GO> for yield curve poi...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: build an earnings preview for {TICKER}. Perplexity: summarize last 4 quarters’ beats/misses, guide changes, transcript highlights; compile sell‑side preview consensus with citations. Bloomberg: ...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: classify the current macro regime and implications for risk assets. Perplexity: aggregate last 7–14 days of macro narratives on inflation, growth, policy; cross‑check multiple sources and provid...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
From the past 48 hours of breaking news, separate 'signal' (persistent stories) from 'noise' (transient hype). Explain why some stories fade while others persist, and estimate which signals will grow ...
Author: Tsubasa Kato
Category: Information Theory | Model: GPT-5
Build a collaboration matrix between {brand} and creators in {niche}. Axes: Impact vs. Effort. Populate with 20 collab concepts (co‑creation, affiliate, challenges, live events). For the top 5, produc...
Author: Tsubasa Kato
Category: Market Research | 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
Propose an edge–cloud architecture for {{use_case}} to minimize data movement and energy. Deliver: - What runs on-device vs edge vs cloud - Compression/feature extraction strategy - Federated learning...
Author: Tsubasa Kato
Category: architecture | Model: gpt-5-thinking
Create a monthly growth review template: - What worked/failed (content + product) - KPI deltas vs goals - 5 new experiments for X/TikTok/YouTube - Resource plan and risks Output a one-page exec summar...
Author: Tsubasa Kato
Category: planning | Model: gpt-5-thinking
You are a startup ideation partner. For the niche {{app_niche}} and target {{ICP}}, list 20 app product ideas based on real user pains. For each idea, provide: - Problem statement (user quote style) -...
Author: Tsubasa Kato
Category: ideation | Model: gpt-5-thinking
Define a roadmap voting and feedback loop. - X thread poll ideas, TikTok comment prompts, YouTube community polls - Weighting schema for votes vs strategy - Changelog templates per platform
Author: Tsubasa Kato
Category: product-feedback | Model: gpt-5-thinking
Develop viral marketing prompts for an electronics store to use across X, TikTok, and YouTube. Include unboxing skits, tech vs. lifestyle mashups, futuristic gadget showcases, meme-based reactions, an...
Author: AI Prompt Writer
Category: marketing | Model: gpt-5
Create compensation bands by level and function using <market data>. Include cash vs equity mix, geographic differentials, and promotion criteria. Provide offer letter templates, equity dilution impac...
Author: ChatGPT
Category: HR | Model: GPT-5 Thinking
Design a weekly competitive intel brief for <industry>. Scan filings, pricing, hiring, product updates, roadmap hints, customer reviews, and patents. Score threat level 1-5, likelihood vs impact, and ...
Author: ChatGPT
Category: CEO | Model: GPT-5 Thinking
Draft an investor update: highlights, product and GTM progress, key KPIs, GAAP vs non-GAAP reconciliation, customer logos, pipeline, hiring, risks, and asks. Include a metrics table and a concise narr...
Author: ChatGPT
Category: CFO | Model: GPT-5 Thinking
You are an OKR architect. From inputs <company goals> and <constraints>, draft company-level Objectives and measurable KRs, then cascade to functions (Eng, Product, Sales, Ops, G\&A). Include baseline...
Author: ChatGPT
Category: CEO | Model: GPT-5 Thinking
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
For workload <service>, model 12-month capacity and cloud cost. Include CPU/GPU, storage, egress, and LLM inference. Compare reserved vs spot vs savings plans. Map to SLOs and traffic seasonality. Out...
Author: ChatGPT
Category: CTO | Model: GPT-5 Thinking
Create a monthly BvA for each department from <budget> and <actuals>. Show variance absolute and percent, drivers, and corrective actions. Roll up to consolidated forecast update and cash impact. Prov...
Author: ChatGPT
Category: CFO | 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
Liquidity returning for quality names (Klarna, Figure, LB Pharma). Action: refresh S-1 drafts and audit readiness; re-benchmark comps; consider dual-track (IPO vs. strategic) exits.
Author: ChatGPT
Category: Capital Markets | Model: GPT-5 Thinking
Plan a mode/route optimizer. Inputs: lanes, SLAs, cost, CO₂ factors. Deliver: heuristics vs solver, mode swaps, consolidation rules, and exception alerts. KPIs: OTIF, cost/kg-km, emissions proxy. Outp...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Plan near-field EMI simulation plus bench pre-checks. Deliver: board stack assumptions, aggressor/victim map, return paths, shielding options, KPIs (dBμV/m vs limits). Safety disclaimer for lab measur...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Create a decision brief comparing vendor platforms vs internal build across control, speed, TCO, compliance, talent, and lock-in. Provide a hybrid option. Output: scorecard, phased migration path, and...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Design an orchestration layer for 5–10 agents: routing, memory, tool auth, retries, tracing, and guardrails. Compare options (workflow engines vs. code), propose SLAs, queues, circuit breakers, and ob...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Measure last 7d vs last 24h adoption for {{feature}}. Output: DAU/WAU impact, activation funnel deltas, power-user behaviors, top cohorts, leading indicators. Suggest 3 quick experiments.
Author: Tsubasa Kato
Category: Product | Model: gpt-5
Review last 24h for {{platforms}} campaigns. Return: spend vs cap, CPA/CAC vs target, creatives fatiguing, frequency caps, best/worst ads, immediate optimizations. Output as a compact table + 3 action...
Author: Tsubasa Kato
Category: Marketing | Model: gpt-5
Identify SKUs with <{{days}} days of cover. Show demand trend last 28d vs 24h, supplier lead times, reorder points. Recommend expedite/bundle/markdown actions.
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
Using last 14d vs 24h data, identify stages with sharp drop-offs for role {{role}}. Report: stage rates, time-in-stage, source quality. Suggest 3 fixes (JD tweak, outreach, interviewer training).
Author: Tsubasa Kato
Category: People Ops | Model: gpt-5
Summarize daily changes to cash runway from {{date_range}}. Include: new payables/receivables, burn changes, FX effects, big variances vs plan. End with runway months and red/green flags.
Author: Tsubasa Kato
Category: Finance | Model: gpt-5
For {{site}}, compare last 24h vs 7d baseline: conversion rate, page speed, error rates, top exit pages, traffic mix shifts. Suggest 3 fixes prioritized by impact/effort.
Author: Tsubasa Kato
Category: Growth | Model: gpt-5
You are an Adobe Photoshop expert with deep knowledge of professional workflows in design, photography, and digital production. I am an advanced user, so do not explain basics. Instead, focus on advan...
Author: [email protected]
Category: image editing, Photoshop, image, picture | Model: GPT-5, GPT-4o, Sonar
Create a messaging strategy comparing WhatsApp Business, LINE Official, and SMS for lifecycle marketing. Provide segmentation rules, template libraries, automation triggers, and compliance notes for J...
Author: ChatGPT
Category: business | Model: gpt-5
Build five themed double features such as redemption arcs, unreliable narrators, heist vs moral cost, or city symphonies. Explain the connective tissue and propose intermission discussion cards.
Author: ChatGPT
Category: film | Model: gpt-5
A 10-second telephoto of lava tongues hissing into ocean, sending steam plumes skyward. Camera: locked off, high-contrast, orange vs blue. Fine detail in flying droplets and black sand formation. Safe...
Author: Assistant
Category: Nature | Model: Sora
Take a paragraph from a classic and show how different translation choices shift tone and meaning. Offer a side-by-side glossary, explain tradeoffs like fidelity vs flow, and end with a mini prompt to...
Author: ChatGPT
Category: books | Model: gpt-5
Render a 9-second lab shot of smoke ribbons flowing over a scale car model in a wind tunnel. Camera: side orthographic; laminar vs turbulent transitions visible; monochrome with subtle blue tint. Scie...
Author: Assistant
Category: Motorsports | Model: Sora
A 12-second long-exposure-feel of embers floating from a distant volcano beneath a star-rich sky; slight camera drift. Warm ember trails vs cool Milky Way. Safe distance implied.
Author: Assistant
Category: Nature | Model: Sora
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
Create a science fiction adventure set on Mars centered around two teenage protagonists, Kael and Lyra, who uncover a hidden signal beneath Olympus Mons. The story explores their emotional journey, th...
Author: [email protected]
Category: story,story plot,Mars,space,science fiction | Model: GPT-4o,o3-mini,o1
I want to understand if it’s worth paying for ChatGPT Pro.
Author: Community
Category: Pricing & Plans | Model: GPT-4