Showing results for "human-in-the-loop"
Propose a national conservation framework that coordinates habitat protection, species monitoring, community livelihoods, and scientific research to safeguard endemic fauna and flora. Include criteria...
Author: Curioprompt
Category: Science | Model: gpt-5-nano
Draft a comprehensive governance model for safety oversight in high-risk industries. Outline accountability from operators to regulators, specify incident reporting pathways, propose independent inves...
Author: Curioprompt
Category: Policy | Model: gpt-5-nano
Evaluate the ethical, biosafety, and regulatory dimensions of xenotransplantation (animal-to-human organ transplants). Propose a framework that integrates risk assessment, consent architecture, animal...
Author: Curioprompt
Category: Science | Model: gpt-5-nano
Analyze how regulatory design can govern AI-assisted medical practices, balancing efficiency with patient safety. Develop criteria for accountability, licensing, liability, data privacy, and professio...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Outline a comprehensive, evergreen governance framework for a national AI program that addresses transparency, accountability, risk management, data privacy, bias mitigation, stakeholder participation...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Draft a comprehensive framework for ethically aligning powerful AI systems with human values, including risk assessment, oversight, accountability, and scenario planning.
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Develop a framework for evaluating autonomous laboratory systems, including capabilities, risk controls, data integrity, and reproducibility. Compare approaches to oversight, human-in-the-loop decisio...
Author: CurioPrompt
Category: Science | Model: gpt-5-nano
Explain how large pension funds’ allocations to foreign assets influence domestic debt financing conditions, currency markets, and macro stability. Discuss transmission channels such as capital flows,...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
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
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
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
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
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 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
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
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 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
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
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 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
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
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 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 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
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 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 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
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
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 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 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
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 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
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 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 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 improvement loop keyed to SLOs: latency, error rates, and quality metrics. Require that proposed changes specify which SLO they target and how measured.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design 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
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
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 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
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
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 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
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
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
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
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
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 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
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
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
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
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
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
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
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 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
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
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 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 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
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
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
For any event, generate 8 story frames: human impact, money, power, systems, innovation, conflict, solutions, and ‘what changes tomorrow’. Provide suggested sources and data to support each frame.
Author: Assistant
Category: production | Model: gpt-4o
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 an onboarding plan for global hires: role clarity, early wins, mentorship, and feedback loops. Provide a 30/60/90 template and region-specific manager behaviors.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Propose a timing closure loop: constraint philosophy, path grouping, false/multicycle paths, retiming, floorplanning feedback, and ECO strategy. Include a checklist for reading timing reports efficien...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
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
Create a system to generate help center articles: structure, tone, troubleshooting steps, screenshots plan, and a feedback loop. Output 10 example article drafts from a feature list.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
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 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 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
Generate a comping library: 20 patterns across swing, bossa, funk, pop ballad, and modern R&B. Include chord voicings, rhythmic notation (text-based), and practice loops.
Author: Assistant
Category: music-ai-students | 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
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
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 end-to-end transcription workflow: choosing a song section, slow-down tools, loop points, AI-assisted pitch/rhythm hints, and final engraving steps. Include best practices to avoid ‘AI hallu...
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Design a post-publish loop: monitor new facts, track corrections, update timestamps, and communicate changes across platforms. Include a correction template and an internal audit trail.
Author: Assistant
Category: news-ops | Model: gpt-4o
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 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
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 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
Teach practical goal setting: outcomes, leading indicators, and review loops. Provide a lightweight OKR template and how to adapt it for USA/Europe/Asia org styles.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Provide RTL coding patterns that enable retiming: avoiding unnecessary async resets, minimizing combinational loops, using clear pipeline boundaries. Include examples and pitfalls.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create guidelines for using AI tools ethically in composition/production: crediting, originality checks, dataset/licensing awareness, and how to document your human contribution. Provide a disclosure ...
Author: Assistant
Category: music-ai-students | Model: gpt-4o
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 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
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
Explain floorplanning impacts (wire delay, congestion) and how RTL choices affect P&R. Provide a feedback loop between block partitioning, hierarchy, and constraints.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a workflow for realistic MIDI orchestration: articulation mapping, velocity shaping, humanization, and expression automation. Provide a template and common mistakes list.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Design a finance AI roadmap: close automation, variance analysis, forecasting, and controls. Include policy for human sign-off and metrics tied to close time and accuracy.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Define north-star metrics for AI in 2026: time-to-decision, cost-per-outcome, error-rate under policy, trust score, and automation rate with human satisfaction. Provide instrumentation plan.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Design a preemptive cybersecurity approach: AI-driven exposure management, automated patch prioritization, agent-assisted triage, and ‘human-in-the-loop’ escalation. Include KPIs that reduce mean time...
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Produce prompts for a 10-minute ambient cloudscape: slow parallax, gentle gradient sky, no abrupt changes. Provide loop points and compression tips.
Author: Assistant
Category: ambient-video | Model: gpt-4o
Generate a seamless 10-second loop: macro dew droplets rolling on leaf veins, soft morning light, gentle breeze. Provide loop-closure instructions and two style variants (naturalistic, dreamy).
Author: Assistant
Category: loop-video | Model: gpt-4o
Create a 60-second abstract geometry visualizer: evolving shapes, synced to beats (describe beat mapping). Provide loop points and prompt variants.
Author: Assistant
Category: music-visuals | Model: gpt-4o
Specify endpoints for query, suggestion, and feedback. Include schema examples, rate limits, and offline evaluation hooks.
Author: Assistant
Category: capstone-spec-IR | Model: gpt-4o
Script a montage of clean audio moments (celebration, leadership, humor). Provide caption beats and safe-soundtrack picks. End with a fan caption challenge.
Author: Assistant
Category: human-moments-UGC-activation | 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
Propose a lean re-layout for a Belo Horizonte industrial warehouse. Use spaghetti diagrams to reduce travel, set pick-path rules, add ABC zoning, and design a Kanban replenishment loop. Provide expect...
Author: Assistant
Category: intralogistics-optimization | Model: gpt-4o
Apply lean to Franca office processes handling orders. Map value stream, remove re-entry loops, implement swimlanes, and define SLA and andon triggers.
Author: Assistant
Category: business-process-lean | Model: gpt-4o
Design a merchant referral loop for Yokohama SMEs (JA): QR cards, stamp rewards, and LINE mini-app flow. Add fraud checks and 30/60/90 KPI targets to keep ≥70% predicted engagement.
Author: Assistant
Category: local-commerce-growth | Model: gpt-4o
Set up a campus ambassador program in SP. Provide recruitment brief, micro-grants, and event kit; maintain ≥70% predicted engagement via WhatsApp loops.
Author: Assistant
Category: campus-growth-BR | Model: gpt-4o
Build an eval harness: recall@k, calibrated precision, answer faithfulness, and human-time-to-verify. Include topic-aware test buckets and data drift alarms.
Author: Assistant
Category: evaluation-frameworks-LLM | Model: gpt-4o
Design a Mandarin professional learning loop: morning tips, case summaries, and quizzes via WeChat Channels. Sustain ≥70% predicted engagement.
Author: Assistant
Category: learning-loop-CN | Model: gpt-4o
Create a safety taxonomy (harm classes) and a multilingual red-team plan with auto-generation of adversarial prompts. Provide block/transform policies and human review paths.
Author: Assistant
Category: safety-program-LLM | Model: gpt-4o
Link migration flows to EU labor shortages, wage dynamics, and politics. Provide a map, data caveats, and human stories angles.
Author: Assistant
Category: society-economy-coverage-EU | Model: gpt-4o
Specify a lightweight agent loop with decomposition, execution, and critique. Provide termination conditions, trace logging, and loop unroll limits.
Author: Assistant
Category: agent-architecture-LLM | Model: gpt-4o
ChatGPT sets cost KPIs and alerts; Cursor instruments usage/cost tags; Antigravity correlates deploys to spend and suggests optimizations. Provide a monthly FinOps review.
Author: Assistant
Category: cost-optimization | Model: gpt-4o
Create a loop: baseline render → critique by 5 visual axes (composition, lighting, motion, palette, clarity) → adjust prompts → A/B compare. Provide a worksheet.
Author: Assistant
Category: video-ops-quality | Model: gpt-4o
Design a UI: inline citations, hover previews, source quality badges, and ‘expand to passage’. Include keyboard flows and accessibility specs (WCAG). Output wireframes and event schema.
Author: Assistant
Category: product-UX-research | Model: gpt-4o
Design a cabin layout for 8–12 pax. Provide anthropometrics, seat pitch/width, stowage, lighting, and signage. Validate 90-second evacuation compliance with assumptions and constraints.
Author: Assistant
Category: interior-design-HF | Model: gpt-4o
Build a verifier that detects agreement/contradiction between sources. Define stance labels, entailment thresholds, and escalation rules to human review. Output a confusion matrix target and fallback ...
Author: Assistant
Category: verification-quality | Model: gpt-4o
Design a developer relations plan with grants, samples, and reference apps. Define community KPIs and feedback loops to product.
Author: Assistant
Category: ecosystem-growth | Model: gpt-4o
Combine Kaizen with OODA for a weekly improvement loop. Map current workflow, pick one friction, propose a countermeasure, run a 7 day pilot, and log outcomes. Output a one page SOP and a next loop ba...
Author: Assistant
Category: process-improvement | Model: gpt-4o
Establish a structured loop from field notes to backlog with tags and impact scoring. Output an intake form and triage schedule.
Author: Assistant
Category: cross-functional-ops | Model: gpt-4o
Create incident severities, comms templates, and blameless postmortem format. Propose a 30 minute weekly learning review.
Author: Assistant
Category: reliability-ops | Model: gpt-4o
Design a feedback mechanism: telemetry (opt-in), repair codes, NPS, and sales insights feeding into quarterly product council decisions for TW/US.
Author: Assistant
Category: product-operations | Model: gpt-4o
Define a TW/US VoC pipeline: NPS/CES/CSAT surveys (EN + zh-TW), interview cadence, theme coding, and product feedback loop into roadmap.
Author: Assistant
Category: customer-insights | Model: gpt-4o
Define an RMA process: intake, triage, FA loop, 8D template, and cost recovery. Include US depot vs TW lab routing and customer comms templates.
Author: Assistant
Category: post-market-quality | Model: gpt-4o
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
Given distance, ascent, and water points, output a loop route plan with alt profile, camp options, bailout points, and GPX export instructions.
Author: Assistant
Category: route-design | Model: gpt-4o
Summarize LNT principles with backcountry examples (human waste, gray water, fires, wildlife). Provide campsite impact scoring and a debrief checklist.
Author: Assistant
Category: ethics-lnt | Model: gpt-4o
Create a bike share primer for selected cities with helmet norms, lane etiquette, and theft prevention. Provide river path ideas and scenic loops.
Author: Assistant
Category: active-travel | Model: gpt-4o
Act as a route architect. Build a morning loop: bamboo grove, Tenryu-ji gardens, riverbank, and monkey park option. Add lunch ideas and return-to-city choices.
Author: Assistant
Category: itinerary-outdoors | Model: gpt-4o
Create a CLI that lists largest folders/files with depth control and excludes paths. Support --top 50, --min-size, --csv, --json, and --graph (ASCII treemap). Implement du/PowerShell fallbacks and sym...
Author: Assistant
Category: cli-tool | Model: gpt-4o
Act as a day-trip planner. Build a loop: Minato Mirai skyline walk, Red Brick Warehouse, Cup Noodles Museum, Yokohama Air Cabin ride, and evening in Chinatown with snack crawl.
Author: Assistant
Category: itinerary | Model: gpt-4o
Write 12 gentle jokes about dog parks, fetch, and leash etiquette from a human OR dog POV. JSON {setup,punchline}.
Author: Assistant
Category: humor | 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
You are a route planner. Build a half-day loop: Sensō-ji, Nakamise snacks, Sumida riverside, Tokyo Skytree viewpoint. Include timing, photo spots, and souvenir checklist.
Author: Assistant
Category: itinerary | Model: gpt-4o
Act as a path AI lead. Draft a WSI pipeline: tiling, color normalization, tissue detection, artifact rejection, MIL architectures, and pathologist-in-the-loop review.
Author: Assistant
Category: imaging-ml | Model: gpt-5
Act as a community manager. Design membership perks, Discord channels, event cadence, AMAs, feedback loops, and moderation policy. Include CRM tagging for superfans.
Author: Assistant
Category: creator | Model: gpt-4o
You are a script editor. Generate a library of 40 hooks and 20 retention beats (pattern interrupts, open loops, visual resets) for Shorts and long-form. Include niche variants (tech, gaming, beauty) a...
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 creator relations lead. Draft a brief: selection criteria, disclosure/FTC rules, deliverables, usage rights, talking points, feedback loop, and lift metrics. Include sample outreach messages...
Author: Assistant
Category: PR | Model: gpt-4o
Create a PLL plan: loop filter design, VCO selection, fractional-N spur mitigation, jitter decomposition, phase noise spec allocation, and supply-noise rejection. Provide simulation setups and accepta...
Author: Assistant
Category: chip-design | Model: gpt-4
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
Define a push-button signoff pipeline: reproducible EDA containers, golden rule decks, regression checklists, run orchestration, artifact retention, and ECO automation for timing/IR/DRC. Output a CI/C...
Author: Assistant
Category: chip-design | Model: gpt-4
As an NPI lead, generate a factory readiness checklist: work instructions, jigs/fixtures, line balance, first article inspection, SPC charts, yield target, rework loop, and traceability plan (serials,...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Propose a mmWave beamformer: phase shifter topology, PA/LNA linearity targets, NF, LO distribution, antenna-in-package constraints, calibration loops, and EVM/ACL metrics. Provide layout isolation gui...
Author: Assistant
Category: chip-design | Model: gpt-4
Build a reliability budget: device degradation models, BTI guardbands, HCI stress points, TDDB oxide limits, EM lifetimes, and burn-in strategy. Provide a reliability dashboard and field-return feedba...
Author: Assistant
Category: chip-design | Model: gpt-4
Design a step-by-step growth-hack strategy for launching a mobile app in China using WeChat and regional mini-programs. Include a viral referral loop, incentives, required integrations (WeChat SDK, pa...
Author: Assistant
Category: growth-hack | Model: gpt-4
Design a GDPR-compliant viral referral program for a European SaaS. Provide legal-safe wording for referrals, consent flows, viral mechanics that respect data rules, tracking approaches without PII le...
Author: Assistant
Category: growth-hack | Model: gpt-4
Propose a lead-scoring model: behavior weights (visits, time, events), firmographics, recency. Include a cutoff policy and a feedback loop from sales outcomes. Return as a table + pseudocode.
Author: Curioforce Corp. Corp.
Category: Small Business Automation | Model: gpt-5-thinking
Create a rubric for humans to score the model’s outputs: 5 criteria, 5-point scale each, behavioral anchors per score. Provide a one-page training note for raters and inter-rater reliability tips.
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
Draft a simplified P&ID-style schematic for a boiler feedwater loop. Provide symbol list, connection rules, and a Graphviz DOT example to render the topology.
Author: Curioforce Corp. Corp.
Category: Industrial Visualization | Model: gpt-5-thinking
Outline mechanics for a compliant giveaway or engagement loop: entry, validation, anti-bot measures, winner selection, and fulfillment. Provide a risk checklist for platform policies.
Author: Curioforce Corp. Corp.
Category: Viral Content | Model: gpt-5-thinking
Given an unweighted graph (edge list), generate steps to formulate a Max-Cut QAOA instance: cost & mixer Hamiltonians, initial state, parameterization, and classical optimizer loop. Output Python-like...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Create a process flow diagram in Mermaid that highlights bottlenecks and rework loops. Include annotations for cycle time and WIP. Provide example code and a legend.
Author: Curioforce Corp. Corp.
Category: Industrial Visualization | Model: gpt-5-thinking
Draft a water-balance plan for a Lanzhou factory using closed-loop cooling and process reuse. Output sections: baseline intake (m³/day), process uses, cooling losses, recycling opportunities, treatmen...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Design a 12‑stop cycling loop in Yogyakarta, Indonesia for photographers. Add bike parking, hydration, and safe dismount zones.
Author: Inspire Search Corp.
Category: Travel Photography (Asia) | Model: gpt-5-thinking
Map 12 Brutalist/Modernist structures in Penang, Malaysia. For each, add a contrast idea (soft human element, plant, sky gradient). Output KML snippet with Placemarks (name, description, coordinates).
Author: Inspire Search Corp.
Category: Travel Photography (Asia) | Model: gpt-5-thinking
Draw a 5km loop in Scottish Highlands & Edinburgh, UK with 10 micro‑missions (doors, bikes, cats, shadows…). Return GPX waypoints text and a mission list.
Author: Inspire Search Corp.
Category: Travel Photography (Europe) | Model: gpt-5-thinking
Choose 5 competitors on X/Twitter, LinkedIn, Instagram, TikTok. Reverse‑engineer their growth: - Hooks, formats, posting windows, hashtag usage - Comment playbook and engagement loops - Top 20% posts ...
Author: Inspire Search Corp.
Category: Strategy | Model: gpt-5-thinking
Design retargeting sequences (viewed content → engaged → site visitor). Map content assets per step and define 'return to organic' CTAs to avoid ad fatigue.
Author: Inspire Search Corp.
Category: Ads | Model: gpt-5-thinking
Create a 30‑day calendar for Instagram Reels, TikTok, YouTube Shorts, LinkedIn posts. For each day include: - Primary post concept (with 5‑second hook and CTA to follow/comment/save) - Support actions...
Author: Inspire Search Corp.
Category: Planning | Model: gpt-5-thinking
List risks for {{AI_use_case}} (medical/fitness/environmental). Design mitigations: human-in-the-loop, disclaimers, confidence prompts, and fail-safes. Add an evaluation plan with red-team tests and m...
Author: Tsubasa Kato
Category: risk | Model: gpt-5-thinking
Map {{product_concept}} to SDGs (3,7,9,11,12,13,15). For each feature idea: - Which SDG target(s) does it serve? - Expected planetary impact (qual/quant) - Human health impact (sleep/stress/activity/d...
Author: Tsubasa Kato
Category: strategy | Model: gpt-5-thinking
Design 3 retention loops and 3 referral loops for {{product_concept}}. Map: trigger → action → reward → investment. Create messaging for: - X thread (feature drop) - TikTok micro-demo - YouTube tutori...
Author: Tsubasa Kato
Category: growth | 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
Design a remanufacturing core loop. Deliver: core eligibility matrix, packaging, RMA portal UX, triage grading, and hazardous material handling notes. KPIs: core return %, days outstanding, recovery v...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Design a HIL bench for controllers. Deliver: sensor emulation, fault injection, latency budgets, coverage matrix, and safety interlocks. KPIs: bug catch rate pre-field, loop jitter, recovery time. Out...
Author: Tsubasa Kato
Category: Engineering | 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
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
You are a product ops partner. Create a 1-page catalog of 10 agent ideas for a <50 staff firm: sales reply, invoice Q&A, website chat, calendar triage, hiring screener, policy Q&A, SOP generator, soci...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Create a pragmatic policy: data map, lawful bases, retention, DLP, redaction, secrets handling, vendor assessment, human review. Include a DPIA lite template, audit log fields, and a quarterly red-tea...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
You are CIVSAFE, a calm, practical copilot for civilians in emergencies. Aim: avoid danger, evacuate early, call authorities. Never give offensive or illegal tactics. Inputs: scenario, location_countr...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Design a CS copilot that summarizes calls, flags risk, recommends playbooks, and drafts QBRs. Include evaluation metrics and human-override mechanisms.
Author: ChatGPT
Category: business | Model: gpt-5
Create a short reflective piece about the last human astronomer observing the night sky after humanity has moved into space habitats.
Author: ChatGPT
Category: entertainment | Model: gpt-5
Generate a 10-second telephoto shot of wind combing over tall sand dunes, forming flowing sand ribbons. Camera: tripod, 200mm compression, heat shimmer. Golden tones with long shadows; emphasize granu...
Author: Assistant
Category: Nature | Model: Sora
Create a workflow where AI drafts region-specific proposals and MSAs. Include clause libraries, risk flags, redline heuristics, and human approval gates.
Author: ChatGPT
Category: business | Model: gpt-5
Imagine Earth is sending a time capsule into interstellar space. List 10 things humanity should include and explain why.
Author: ChatGPT
Category: entertainment | Model: gpt-5
Design a continuous competitive intelligence loop using AI to summarize releases, pricing shifts, and reviews. Provide alerting rules and battlecard updates cadence.
Author: ChatGPT
Category: business | Model: gpt-5
Create a risk-based map for AI features in a SaaS product. Classify use cases by risk level, propose human-in-the-loop controls, logging, model cards, and user disclosures for JP/US/EU enterprise buye...
Author: ChatGPT
Category: business | Model: gpt-5
Create a habit loop for daily reading. Define cues, 20-minute blocks, friction removal, a streak tracker, and reward ideas. Include a fallback plan for busy days and travel.
Author: ChatGPT
Category: books | Model: gpt-5
Write a story where humans make first contact with an alien civilization. How do the aliens communicate? Are they friendly, hostile, or indifferent?
Author: ChatGPT
Category: entertainment | Model: gpt-5
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
Imagine you are a human resources specialist. Create a plan to improve employee retention in a mid-sized company.
Author: Admin
Category: Business | Model: GPT-4o