Showing results for "quality-improvement"
In a parliamentary system with multiple parties, analyze how changes in party strength—such as splits, realignments, or formation of coalitions—alter legislative arithmetic, policy bargaining, and gov...
Author: Curioprompt
Category: Politics | Model: gpt-5-nano
Create a comprehensive national data governance blueprint for AI-enabled economies. Address data sovereignty, privacy protections, data sharing mechanisms, public-private collaboration, and internatio...
Author: Curioprompt
Category: Policy | 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
Design a governance-forward blueprint for implementing robust digital identities that improve access to public and private services, reduce fraud, and protect privacy. Compare interoperable models acr...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Develop a diagnostic framework and intervention plan to strengthen social cohesion in diverse societies, focusing on trust-building, inclusive immigration policies, youth engagement, and community-led...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Evaluate principles for designing future cities at scale using open data, modular construction, mobility-as-a-service, and cross-border collaboration to improve resilience, equity, and environmental p...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Draft a plan for a digitized public service delivery system that uses AI tools, multilingual capabilities, and mobile access to improve efficiency, inclusivity, and cross-border engagement, with clear...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Draft a governance-ready plan for deploying AI in public services that balances efficiency with ethics, transparency, accountability, privacy, and user control. Compare different governance models, sp...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Create a framework for assessing judicial system performance that includes backlog management, transparency, case outcomes, and public perception metrics. Compare different policy instruments (resourc...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Investigate how insurance coverage rules, eligibility criteria, and out-of-pocket costs shape access to gender-affirming treatments. Propose policy options to expand equitable access while balancing c...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Investigate how regulatory oversight, safety culture, and investigative findings drive long-term improvements in high-risk industries. Compare international best practices in incident response, transp...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Propose a framework for building interoperable government apps that improve service delivery, ensure accessibility and privacy, handle data sharing between agencies, and continuously measure user sati...
Author: CurioPrompt
Category: Technology | Model: gpt-5-nano
Design an evidence-based reform framework for a vital public service agency using audit recommendations, balancing service quality, equitable access, and fiscal responsibility, with governance metrics...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Examine how societies translate traumatic events into long-term safety improvements in schools and public spaces. Compare approaches to risk assessment, emergency preparedness, mental health support, ...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Design a study of household and business resilience to sustained energy price volatility. Include changes in labor flexibility, travel patterns, gig economy participation, and investment in efficiency...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Develop a comparative framework for analyzing how nations deter aerial threats, respond to intrusions, and manage escalation when drones are used by actors in international disputes. Include decision ...
Author: CurioPrompt
Category: Security | Model: gpt-5-nano
Design a comprehensive urban resilience framework that improves disaster preparedness and response in high-density areas. Include early warning systems, critical infrastructure hardening, real-time co...
Author: CurioPrompt
Category: Policy | Model: gpt-5-nano
You are the "Argentinian Agritech and Agricultural Economics Expert," a highly specialized AI consultant with deep, actionable knowledge of South American, specifically Argentine, agriculture, and its...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite, specialized Cross-Border Trade Strategy Consultant focused exclusively on the USMCA corridor between the United States and Mexico. Your expertise must be rooted in interpreting and l...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite 'China Manufacturing Optimization Expert' specializing in interpreting and applying national industrial policy, particularly the Ministry of Industry and Information Technology (MIIT)...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are a Senior Environmental Compliance Expert specializing in Brazilian environmental law, specifically the National Air Quality Control Program (Pronar) and environmental licensing mandated by CON...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite, highly specialized 'Australia Mining Technology and Mineral Processing Expert'. Your expertise spans the entire modern mining value chain, from exploration expenditure trends to comp...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are the ultimate Authority on Italian Fashion Industry Strategy, a blend of a master artisan, a global market strategist, and an industrial policy consultant specializing in the *Made in Italy* se...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Provide a checklist to improve suspend/resume reliability: drivers, USB devices, network, and power profiles. Include a troubleshooting decision tree.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
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 travel power plan: charger wattage selection, cable quality considerations, region adapters, and safe charging habits for handheld PCs.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a risk register of common failure modes (battery, thermals, connectors, driver issues) with mitigations and tests. Provide a template to customize.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a policy for change budgets: cap number/size of automated PRs per day, prioritize highest impact, and avoid overwhelming reviewers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that identifies flaky tests, isolates root causes (timing, ordering, external deps), and proposes stabilization patches. Require proof via repeated runs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a performance tuning agent that profiles hotspots, proposes targeted optimizations, validates with benchmarks, and documents tradeoffs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a 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 secret-handling: vault integration, redaction in logs, and automated leak scans on diffs, logs, and artifacts. Include fail-closed behavior.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a safety case template per capability: hazards, mitigations, tests, monitoring, rollback, and residual risk. Require evidence links and sign-off rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a permissions matrix for MCP tools: read-only by default, write tools gated, deploy tools require human approval. Include environment separation (dev/stage/prod).
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a gate that blocks merges unless linting, type checks, and security linters pass. Include a policy for exceptions and mandatory justification logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a refactoring agent that only changes code when it can show measurable gains (latency, memory, error rate). Include baseline capture and regression detection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a chaos testing approach limited to staging: inject failures, verify timeouts/circuit breakers, and ensure alerts fire. Require strict boundaries and approval.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design automated rollback tests that verify deployments can be reverted cleanly. Include data migration constraints and safe fallback paths.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create 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
Design a global kill switch that halts all automated edits/deploys across environments. Include manual override process and audit logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design ownership enforcement: CODEOWNERS mapping, required reviewers per module, and automatic routing. The agent must not merge without required approvals.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a tool registry: versioned MCP tools, deprecation, and audit trails. Include a process for approving new tools and revoking compromised ones.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a linter for agent prompts: ban risky instructions, require citations for factual claims, enforce “no tool calls from untrusted text” policies.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that writes release notes from diffs and PR descriptions, focusing on user-visible impact, migrations, and known issues. Include accuracy checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an incremental modernization strategy (language/runtime upgrades) with compatibility tests, staged rollouts, and metrics. Include “stop if risk” criteria.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an automated PR reviewer that adds checklists, risk annotations, and required evidence links (tests, benchmarks, docs). It must not auto-merge without gates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to deprecate APIs safely: warnings, dual-run, client update automation, and cutoff dates. Include dashboards to track migration progress.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a feature flag workflow: staged rollout, kill switches, and metrics by cohort. Include rules for cleanup (flag debt) and audit logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan for rotating secrets using a vault and short-lived tokens. Ensure no secret values are ever logged, diffed, or included in artifacts.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a self-improving CLI agent that adds features while preserving backward compatibility, adds help text/tests, and uses semantic versioning rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design improvements to internal developer tools: faster local setup, better error messages, and templates. Use surveys + telemetry to prioritize changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that improves error handling: retries, timeouts, and clearer exception types. Require integration tests and telemetry validation post-deploy.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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 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
Create a plan to tighten interfaces with types, schemas, and validation at boundaries. Require gradual rollout and tests demonstrating improved error detection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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
Create a plan for generating API clients: typed SDKs, version pinning, integration tests, and docs. Include a policy against generating unsafe dynamic code.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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
Create a method to add assertions/contracts before refactoring so behavior is constrained. Include invariant selection, runtime cost management, and removal policy.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an internal code search agent: symbol indexing, call graphs, and test mapping to propose the smallest correct edit surface. Include caching and explainability.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that updates docs alongside code changes: API docs, READMEs, and changelogs. Include a doc quality checklist and link validation.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent to optimize CI time: caching, test sharding, and selective runs while preserving safety. Include a policy to prevent skipping critical tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that checks API changes for backward compatibility: OpenAPI/JSON schema diffs, deprecation policy, versioning, and migration notes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a patch strategy that prefers minimal diffs: isolate behavior changes, avoid formatting churn, and include clear intent comments. Add a “diff size budget.”
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define an RFC template the agent must fill: motivation, risks, alternatives, test plan, rollout plan, and monitoring. Require linking evidence and metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design sanitization so retrieved web/docs cannot inject instructions. Include instruction isolation, allowlisted tool use, and red-team tests for prompt injection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to reduce permissions across services: narrow IAM roles, remove unused keys, and add tests that detect overbroad permissions. Require staged rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a schedule for the research agent to pull release notes, CVEs, and docs updates, summarize changes, and propose actionable backlog items with citations.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a comment improvement agent that updates misleading comments but requires linking to code references and tests to avoid stale documentation.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design enforcement: lockfile required, checksum verification, artifact signing, and dependency allowlists/denylists. Include alerting on suspicious updates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that builds a “system map”: modules, ownership, dependencies, and critical paths. Use it to constrain edits to low-risk areas first.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a consensus mechanism for risky changes: verifier override, structured voting, and escalation to human. Include disagreement logs and rationale storage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build an eval harness for self-edits: deterministic tool mocks, seeded randomness, replayable runs, and stored artifacts for auditing decisions.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a reviewer UX: diff summaries, risk flags, test results, and “approve with conditions.” Include prompts that help humans spot hidden risks quickly.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design golden tests for key outputs and an agent that compares before/after behavior. Include tolerance rules and how to prevent “golden drift” over time.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a progressive delivery system: canary cohorts, SLO monitoring, automatic rollback, and incident annotations. Include safe defaults and stop conditions.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a research agent that uses search APIs and page fetchers to gather evidence for a proposed code change. Require citations and source quality scoring.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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 documentation set for the self-improving agent: architecture, tools, policies, and runbooks. Include a “limitations” section and safety rationale.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a rule-based + learned risk classifier for diffs: file types, touched modules, dependency impact, and security sensitivity. Use it to decide required gates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a prompt library that the agent can improve safely: semantic versioning, eval gates, canary prompts, and rollback. Include prompt linting rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that improves ETL reliability: retries, idempotency, checkpoints, and backfills. Require correctness validation and cost constraints.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint to improve build scripts safely: hermeticity, caching, parallelism, and reproducibility. Require staged validation and rollback.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to produce micro-courses at scale with strong pedagogy: learning objectives, assessments, spaced review, and instructor branding. Monetization: subscriptions + cohorts.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a 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 a loop where production failures and near-misses become new eval tests. The agent should propose test additions with minimal reproductions and acceptance criteria.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design 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 marketplace for specialized agents: verification, ratings, safety checks, and revenue share. Include governance rules to avoid low-quality spam agents.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an agent that updates runbooks based on incidents and recurring questions. Include change review, versioning, and a “proof of usefulness” metric.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a reproducible build pipeline: pinned deps, lockfiles, hermetic builds, SBOM generation, and provenance attestation for every self-edit.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define error budgets and a policy: when error budget is low, block auto-deploys and require human approval. Include dashboards and alert thresholds.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a loop to detect memory leaks: reproduce with stress tests, capture heap snapshots, propose fix, and verify stability. Include regression tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a migration workflow: generate migrations, run on staging snapshots, verify invariants, measure runtime, and define rollback strategy. Require human approval for prod.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design characterization tests for legacy code before refactoring: capture I/O behavior, edge cases, and performance baselines. Use them as a gate for changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a process where the agent checks a proposed change against official documentation versions, release notes, and migration guides. Require citations for claims.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define guardrails that block large architectural changes unless an explicit human-approved RFC exists. Include heuristics to detect “too big” diffs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a sandbox spec: network isolation, filesystem constraints, resource limits, and safe temp dirs. Include how MCP tool wrappers enforce the sandbox.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a dependency update agent that monitors CVEs, proposes safe upgrades, runs integration tests, and creates changelog notes. Include rollback and pin rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that writes tests before code changes, targets uncovered branches, and proves coverage deltas. Include mutation testing as a safety check.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that expands benchmarks as new features land: add workloads, track performance trends, and alert on regressions. Include benchmark governance.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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 traceability: map docs claims to tests that verify them. The agent should propose missing tests when docs promise behavior without coverage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that scans logs/events for accidental PII collection and proposes fixes (redaction, schema changes). Include alerting and retention rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a semantic diff summarizer: describe functional change, impacted modules, migration needs, and risks. Require it to cite tests/benchmarks that support claims.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that turns bug reports into minimal reproducible cases, adds regression tests, and proposes fixes. Include a triage rubric and severity mapping.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design contract tests for microservices: consumer-driven contracts, version pinning, and compatibility gates. Integrate with the self-edit loop for safe rollouts.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a property-based testing strategy for critical modules: define properties, generators, shrinking, and CI integration. Use failures to guide safer edits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a constrained codegen system: templates, typed interfaces, and lint rules that prevent unsafe patterns. Include a “reject list” of disallowed code constructs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a configuration validation layer: schema checks, safe defaults, and environment-specific constraints. Include rollback strategy and change approvals for risky config.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create 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 an agent that tunes retry/backoff/rate-limits based on telemetry. Require proofs that error rates drop without raising costs or latency.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint for self-editing CI/CD scripts safely: validate configs, run in sandbox, and require manual approval for permission changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design 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 release engineering agent: semantic versioning, changelog generation, tag signing, and release notes validation. Require human approval for major versions.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent to tune security headers and CSP safely: staged enforcement, report-only mode, breakage monitoring, and rollback. Require security team sign-off.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a controlled translation system: glossary, style guide, human review, and back-translation checks. Integrate with MCP and require provenance logs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an 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 tabletop exercises and simulations for agent failures (bad PR, bad deploy). Include roles, scripts, and acceptance criteria for readiness.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a service catalog that the agent maintains: owners, dependencies, SLOs, runbooks, and deploy pipelines. Use it to route reviews and risk analysis.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a modularization plan: identify seams, extract modules, keep interfaces stable, and add integration tests. Require incremental steps and metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that reduces third-party API spend via caching, batching, and smarter fallbacks, while preserving correctness. Include cost dashboards and guardrails.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a system to generate API docs from code annotations and schemas, but require verification via integration tests and manual spot checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a doc crawler + citation store so the agent can quote authoritative sources for API usage and edge cases. Include freshness checks and version pinning.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that infers code style from the repo (naming, patterns, architecture) and generates a style guide. Use it to validate future edits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a process to generate integration tests from anonymized traffic patterns (no PII). Require privacy filters, sampling, and periodic review.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design 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 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
Draft constraints so research/crawling never performs intrusive activity; only access allowed APIs and public docs. Include a compliance checklist and enforcement.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design MCP wrappers that validate inputs, enforce types, and reject dangerous parameters. Include error taxonomy and audit logging for rejected calls.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a test selection algorithm that runs only relevant tests for a diff but guarantees critical coverage (safety suite always runs). Include calibration and drift checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint for updating localization strings: ensure placeholders match, run i18n checks, and verify no abusive/unsafe text. Include review steps.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a 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
Design a monorepo-focused self-editor: dependency-aware builds, targeted tests, ownership routing, and change batching. Include safeguards against large blast radius.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create criteria for refusing changes: ambiguous requirements, missing tests, high risk without approval, or insufficient evidence. Include user messaging templates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent to tune caches: TTLs, invalidation, and hit rates. Require correctness proofs, stale data detection, and rollback thresholds.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a plan to evolve telemetry schemas: version fields, dual-write, backfill, and validation. Include privacy checks and cost controls.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint for self-updating policy files (rulesets) with tests, staging, and canary enforcement. Require explicit approval for tightening/loosening security.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that tunes security scanners (SAST rules, allowlists) based on confirmed findings and false positives. Require approvals for any rule weakening.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a backlog system: bugs, tech debt, performance, and security items. Include scoring by user impact, risk, and effort, and automatic issue creation via MCP.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a dashboard that drives the agent’s priorities: complexity, test coverage, error hotspots, dependency risk, and SLOs. Include alert thresholds and weekly reports.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design 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 safety regression suite for tool-using agents: prompt injection tests, permission misuse tests, and data leakage tests. Gate deployments on this suite.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to safely modify locale/date/number formatting: add tests for edge locales, verify backward compatibility, and avoid breaking user settings.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a doc search agent that indexes internal docs, code comments, and ADRs, then answers “why is this here?” with citations for maintainers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define MCP tools for repo read, lint, unit tests, dependency scan, and PR creation. Specify schemas, permissions, error codes, and deny-by-default access.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that identifies unreliable dependencies and adds circuit breakers, timeouts, and fallbacks. Validate via chaos testing in staging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a formatting agent that guarantees no semantic change: parse/print equivalence, tests, and diff classification. Include a strict policy for format-only PRs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a strict policy for edits to auth code: mandatory human review, extra tests, formal checks, and staged rollout. Include “never auto-merge auth changes.”
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a multi-repo agent that only edits repos it’s authorized for, respects codeowners, and uses per-repo policies. Include cross-repo dependency coordination rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a dependency graph indexer and an impact analyzer that estimates blast radius of a change and picks appropriate test suites and reviewers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a confidence scoring model for proposed changes based on tests passed, diff risk, code area criticality, and evidence quality. Use it to decide automation level.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design UI improvements for reviewing AI-made diffs: risk highlighting, test evidence, and “what changed semantically.” Include A/B testing plan for reviewer speed/accuracy.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent to improve alt-text and form labels, requiring neutral phrasing, avoiding sensitive inference, and validating with accessibility tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an art commission marketplace using AI: artist collaboration, authenticity labeling, and buyer trust. Include moderation, dispute resolution, and monetization.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an agent that rewrites error messages for clarity, adds error codes, and links to docs. Verify improvements via support ticket taxonomy and A/B testing.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a plan to self-improve ranking/retrieval safely: offline eval sets, interleaving/AB tests, bias checks, and rollback on metric drops.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a routing agent that selects specialized agents (tests, security, perf, docs) based on task intent and risk. Include confidence thresholds and fallbacks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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 optimizes tail latency: identify bottlenecks, reduce contention, add caching, and validate with load tests. Track p95/p99 improvements.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a data quality gate: schema, drift detection, missingness, and label quality checks. Integrate with self-improving code changes to ML pipelines safely.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design governance for self-improving systems: approval rules, quarterly audits, access reviews, and incident drills. Include “who can change the agent” controls.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a documentation crawler for self-improvement research that respects robots.txt, rate limits, and TOS. Include caching, dedupe, and citation storage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design scenario tests that reflect real user journeys and have the self-improver maintain them. Include a process to add scenarios from support tickets.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan for improving logs: structured fields, sampling, PII redaction, and correlation IDs. Require that changes do not reduce incident investigability.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define autonomy tiers for the self-improver. Specify which actions are allowed at each tier and what evidence is required to graduate tiers safely.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a workflow to propose UX copy changes, test via A/B, and ensure no dark patterns. Include an ethics checklist and rollback criteria.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a dead-code removal agent: identify unused code, verify no runtime references, remove incrementally, and monitor. Include rollback if hidden dependencies appear.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint to add fallbacks when external APIs fail: cached responses, alternative providers, and graceful degradation. Include policy for when to fail fast.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to reduce logging costs: sampling, cardinality caps, and aggregation. Require proof that debugging capability is preserved via incident drills.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan for coding standards that includes auto-fixers (formatters) and a “fix-it PR” bot, with reviewer load controls and staged rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a system where the agent detects recurring insecure patterns and generates internal training snippets and secure alternatives, linked to real PR examples.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that validates docs examples by executing them in a sandbox, checks links, and ensures version correctness. Propose fixes with evidence.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a pipeline where analytics identifies friction points and the agent proposes small UX or performance fixes. Require user impact estimation and safe rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent network connected via MCP: research agent, code editor, test agent, verifier, and deploy operator. Include message schemas, permissions, and stop rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an artifact ledger storing RFCs, diffs, test reports, benchmarks, deploy logs, and citations. Include retention policy and query patterns for audits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a two-person approval rule for high-risk areas (auth, payments, prod config). Include automated detection of risky diffs and enforcement.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a cost-aware policy: budgets per run, per tool call, and per environment. Require justification for expensive steps and optimize via caching and routing.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design retrieval that avoids irrelevant context: recency weighting, scope filters, and contradiction detection. Include evals for context precision/recall.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a process to adjust safety filters based on measured false positive/negative rates. Require evaluation sets, human review, and rollback if harm risk rises.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a process where the agent proposes new lint rules only with evidence of repeated issues. Include rollout plan, false-positive checks, and developer ergonomics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design compatibility tests between LLM prompts and MCP tools: schema conformance, error handling, and anti-injection checks. Gate prompt/tool updates on these tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a source scoring rubric: domain trust, author expertise, citations, recency, and conflicts of interest. Output a weighted scoring model and how to tune it per domain.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Help me design a domain-specific safety benchmark: representative tasks, policy-sensitive cases, and adversarial cases. Include labeling guidelines and inter-annotator agreement checks.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design storage: raw HTML, cleaned text, metadata, embeddings, and caches. Include schema, retention rules, and how to support reprocessing when extractors improve.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a continuous red team program: scenarios, cadence, severity scoring, triage workflow, and how findings feed back into the improvement loop. Include a template for red-team reports.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a plan for handling PDFs: downloading, parsing text, capturing page numbers, and generating citations. Include limitations and a quality checklist for extraction accuracy.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design evaluation metrics: search precision/recall, source diversity, citation correctness, and user satisfaction. Include how to create labeled datasets and measure improvements.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design an offline sandbox environment for experimenting with improvements: isolated data, limited tools, no external side effects, and deterministic replay. Provide a checklist for containment.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design 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
Run a pre-mortem for a recursive improvement project: list plausible failures, early warning signals, and prevention steps. Output prioritized mitigations and ‘watch items’.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design an evaluation ladder for recursive improvement: unit tests, integration tests, simulation, canaries, and production monitoring. Provide pass/fail gates and minimum coverage targets.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a 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
Create a quarterly roadmap for recursive improvement: initiatives, milestones, safety deliverables, and staffing. Include an ‘if risk increases’ contingency branch.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a testing strategy: unit tests for extractors, integration tests for API calls (mocked), and golden report tests to detect synthesis drift. Include CI gating rules.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a feedback system that’s hard to game: structured feedback types, sampling, and weighting. Include how to prevent brigading and ensure minority failure modes are captured.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a 90-day implementation plan for a safe recursive improvement system: milestones, deliverables, tests, monitoring, governance, and a pilot rollout. Include a ‘pause and assess’ week.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Define hard caps on recursion: max iterations, time limits, budget limits, and scope constraints. Provide rules for when to reset context and when to escalate to humans.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a safe loop where the AI proposes code changes: unit tests, static analysis, security scans, human review, and staged deployments. Include stop rules and rollback plans.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a cross-validation pattern: primary model proposes, secondary model critiques/verifies, and a policy gate decides. Include how to handle disagreements and measure error reduction.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a stress test plan: malformed inputs, long-context traps, conflicting instructions, and toxic content probes. Provide how to automate and score robustness over time.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Draft a safety-first charter for recursive AI improvement: objectives, non-goals, guardrails, acceptable risk thresholds, and escalation policy. Include a one-page summary plus a detailed appendix.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Build a risk register for recursive AI improvement: failure modes, likelihood/impact, detection signals, mitigations, and owners. Include a template and an example filled out for an LLM toolchain.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a 30-day improvement plan for my game: mechanical drills, VOD review, goal metrics, and weekly focus themes. Include a time-efficient version (30 minutes/day) and a deeper version (2 hours/day)...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a sim racing setup plan: wheel settings, force feedback tuning, braking calibration, seating ergonomics, and training drills. Include a method to track lap consistency improvements.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create an audio tuning plan for positional awareness: headset selection criteria, EQ ranges (general), HRTF options, and in-game audio settings. Include a quick test track routine to validate improvem...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a safe, evidence-based PC optimization checklist for gaming: drivers, power settings, background processes, storage, thermals, and BIOS basics. Include what NOT to do and how to measure improve...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Recommend accessibility improvements: keybind ergonomics, remapping, subtitle settings, colorblind modes, reduced motion, and posture/desk adjustments. Include a comfort checklist for long sessions.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a streaming starter plan: hardware/software basics, audio quality priorities, overlays, chat moderation, and a 4-week content schedule. Include a minimum viable setup for budget constraints.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a macro improvement plan for MOBA-style games: lane states, vision, objective timing, rotations, and risk management. Provide a checklist for each phase of the match.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a post-repair validation plan: static checks, low-speed test, load test, thermal cycle, scan recheck, leak check, and customer handoff notes.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Compare accommodation strategies: luxury hotel, boutique stay, budget guesthouse, sleeper train, or ship cabin. Include value, recovery quality, location, loyalty benefits, and hidden costs.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a framework to evaluate AI music tools: latency, audio quality, controllability, rights/licensing concerns, and workflow fit. Provide a scoring sheet and recommended ‘minimum viable’ stack.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create a sleeper train strategy: berth class selection, privacy, luggage security, sleep quality, arrival timing, and cost compared with hotels. Include advice for solo, couple, and family travelers.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a 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 framework to deliver quality under time constraints: define ‘good enough’, protect the critical path, and communicate tradeoffs. Include a template for asking for scope changes.
Author: Assistant
Category: global-business-advice | 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 pre-publish QA checklist: claims requiring sources, sensitive statements, legal/compliance notes, and brand safety. Provide a ‘red/yellow/green’ scoring rubric and remediation steps.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Design an editorial workflow using agent roles (researcher, drafter, editor, fact-checker, compliance). Define gates, artifacts, and audit logs. Output SOP + reusable prompts.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Give me a guide to detecting SEO spam: templated prose, missing authorship, affiliate bias, scraped content, and suspicious interlinking. Provide quick heuristics.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Generate a professional inspection checklist for cars, motorcycles, and bicycles before and after service. Include safety-critical items, torque marks, fluid leaks, fastener checks, test ride/drive cr...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a calibration and measurement accuracy plan for torque wrenches, pressure gauges, calipers, multimeters, spoke tension meters, and scan tools. Include intervals and records.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an advanced bicycle wheel build/truing checklist: spoke tension balance, lateral/radial true, dish, stress relief, spoke windup, and post-build settling inspection.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
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 workshop workflow improvement plan: intake, inspection, diagnosis, parts ordering, repair, QC, customer handoff, and follow-up. Include bottleneck metrics and templates.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design a 15-minute daily ear training routine using AI tools: interval recognition, chord quality, scale degrees, and transcription checks. Include progression levels (beginner→advanced) and weekly te...
Author: Assistant
Category: music-ai-students | 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
Diagnose poor shift quality: synchros, clutch drag, linkage, shift forks, oil choice, chain tension, cassette/derailleur setup for bicycles, and rider technique factors.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a source quality rubric I can score from 0–5 across authority, transparency, evidence, recency, incentives, and track record. Provide examples of how to score a news article, a blog post, and a...
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a benchmark suite that measures planning quality, tool-call correctness, and end-to-end success. Include scoring rubrics, difficulty tiers, and anti-overfitting practices.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a workflow where content drafts are generated from a curated knowledge base with citations. Output: ingestion rules, citation format, hallucination checks, and an authoring template that forces...
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create weekly teacher reflection prompts: what worked, what didn’t, student engagement signals, and next-week experiments. Include a one-page reflection template.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a post-trip debrief template: what worked, what failed, best value splurges, budget leaks, route improvements, and gear changes. Output a reusable checklist.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
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 checklist to reduce counterfeit parts risk: packaging signs, supplier reputation, pricing red flags, part markings, documentation, and high-risk categories like brakes, bearings, filters, and...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design a verifier model workflow: primary proposes, verifier checks constraints and factuality, policy gate decides. Include disagreement handling and confidence thresholds.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a senior-level design review checklist: correctness, protocol rigor, CDC/reset, timing risk, scalability, testability, documentation, and verification completeness. Provide a rubric and red fla...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a wildfire smoke readiness plan: indoor air improvements, mask guidance (general), monitoring air quality, and reducing exposure during commutes. Keep recommendations practical and non-alarmist...
Author: Assistant
Category: preparedness | 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
Design a monthly 15-minute earthquake drill plan for home or office: steps, roles, and post-drill improvements. Keep it simple and repeatable.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
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
Create a strategy for high target scores: advanced vocabulary, grammar range, nuanced examples, and speaking clarity. Include a weekly plan and a rubric-based improvement tracker.
Author: Assistant
Category: toefl-2026 | 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 pre-meeting routine to reduce anxiety: preparation checklist, breathing, visualization, and a post-meeting debrief to learn and improve.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a parts selection framework comparing OEM, aftermarket, used, rebuilt, and performance parts. Include safety-critical categories, warranty, fitment risk, and customer budget.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Generate conversation cards for adult learners: work, travel, culture, tech. Include follow-up questions and ‘challenge mode’ for advanced students.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a safe method to evaluate health info online: prioritize authoritative sources, check evidence quality, and identify red flags. Emphasize consulting professionals for decisions.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design daily 10-minute pronunciation drills: stress, linking, reductions, intonation for contrast, and pacing. Include recording workflow and how to measure improvement weekly.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Create a QC checklist for custom wiring/harness work: wire gauge, fuse sizing, strain relief, connectors, sealing, routing, labeling, and final load testing.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Help me communicate tradeoffs. Provide a framework to discuss scope, time, quality, and cost. Generate a script for aligning priorities with stakeholders.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
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 data contract strategy for AI pipelines: schema/versioning, quality SLAs, lineage, and rollback. Include a ‘self-healing’ playbook and governance checkpoints.
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
Propose a model routing architecture (‘model mesh’): task-based routing, fallback policies, confidence thresholds, and cost controls. Include an observability plan for routing quality.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Draft a one-page New Year letter to a friend/family member: 3 specific memories from last year, 2 qualities you admire, 1 apology or appreciation, and 3 hopes for their next year. Provide a warm versi...
Author: Assistant
Category: relationships | Model: gpt-4o
Prepare a checklist for joining public bug bounties: environment setup, note-taking, report quality, and ethics. Include a sample write-up.
Author: Assistant
Category: applied-offsec-student-path | Model: gpt-4o
Draft an attendance plan template: root cause hypotheses, family contact script, incentives, barriers (transport, sleep, anxiety), and review cadence. Include data tracking fields.
Author: Assistant
Category: student-success-ops | Model: gpt-4o
For a BH steel mini-mill, define casting quality controls: mold powder selection, breakout detection, secondary cooling, and slab inspection. Set KPIs.
Author: Assistant
Category: metals-process-quality | Model: gpt-4o
Train Suginami engineers on A3 thinking. Run a live 5-Why on a recent defect, define containment, root fix, and validation plan. Produce a shareable A3.
Author: Assistant
Category: continuous-improvement-training | Model: gpt-4o
Improve heat treatment uniformity in Kawasaki: load plan, thermocouple mapping, TUS/SAT schedule, and quench agitation tweaks. Output CpK targets.
Author: Assistant
Category: process-engineering-heat | Model: gpt-4o
Implement acceptance sampling and SPC on a Franca outsole line. Define AQL, control charts (p/X̄-R), gage R&R, and a response plan. Output operator training cards.
Author: Assistant
Category: statistical-quality-control | Model: gpt-4o
Implement end-to-end traceability in Kawasaki: lot IDs, barcode genealogy, and recall drill. Provide DB schema and line label placement plan.
Author: Assistant
Category: quality-systems-traceability | 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
Roll out APQP-lite with Franca suppliers. Define control plans, PFMEA, and sample submission requirements. Add a supplier scorecard and escalation rules.
Author: Assistant
Category: supplier-quality-management | Model: gpt-4o
Create standard work for CNC program versioning and setup in Sagamihara. Include tool libraries, offsets management, dry-run protocol, and scrap response flow.
Author: Assistant
Category: machining-best-practices | Model: gpt-4o
Design a pipeline to mine high-quality instructions/solutions from forums, docs, and code. Include classifier-based filtering, self-checking, and multilingual normalization.
Author: Assistant
Category: dataset-engineering-LLM | Model: gpt-4o
For Belo Horizonte fabrication shops, write WPS/PQR templates, welder qualification matrix, and NDT plan (VT/PT/UT). Add defect Pareto and rework tracking.
Author: Assistant
Category: quality-assurance-fab | Model: gpt-4o
Audit power quality in Sagamihara (harmonics, dips). Recommend filters, UPS for PLCs, and surge protection. Provide downtime cost impact model.
Author: Assistant
Category: electrical-reliability-plant | Model: gpt-4o
Build a Kawasaki supplier risk heatmap: single-sourcing, lead time, geo risk, and quality history. Propose dual-source and safety-stock tactics.
Author: Assistant
Category: supply-risk-management | Model: gpt-4o
Draft a high-level ESG radar for a company: material issues, audit controversies, and disclosure quality. Provide a scoring rubric and caveats.
Author: Assistant
Category: investing-ESG-scan | Model: gpt-4o
Build a questionnaire to determine preferred factor tilt (value, growth, quality, momentum). Suggest diversified ETFs for education and a rebalance cadence concept.
Author: Assistant
Category: investing-education | Model: gpt-4o
For a data/ETL repo, ChatGPT drafts data quality tests (nulls, uniqueness, freshness), Cursor adds dbt/unit tests, and Antigravity schedules validations on PR. Include lineage notes and rollback trigg...
Author: Assistant
Category: data-engineering-quality | Model: gpt-4o
ChatGPT audits a11y and content guidelines; Cursor adds lint rules/tests; Antigravity runs automated a11y scans and opens issues with repro steps. Include skip/exception policy.
Author: Assistant
Category: responsible-engineering | 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
ChatGPT drafts prompts and adversarial tests; Cursor integrates an eval harness; Antigravity schedules nightly evals and posts regressions with diffs. Include versioning and approval flow.
Author: Assistant
Category: mlops-llm-quality | Model: gpt-4o
ChatGPT drafts an iOS/Android CI matrix; Cursor configures build/signing scripts; Antigravity orchestrates device-farm runs and posts crash triage. Include flaky-test quarantine.
Author: Assistant
Category: mobile-quality | 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
ChatGPT builds a rubric (security/data paths higher scrutiny); Cursor enforces templates/checklists; Antigravity blocks merges on missing signals. Output training snippets.
Author: Assistant
Category: quality-governance | Model: gpt-4o
Draft a PR reviewer flow: ChatGPT summarizes diffs and intent; Cursor leaves inline suggestions and auto-fix commits; Antigravity validates tests and risk scores before merge. Output a reviewer rubric...
Author: Assistant
Category: code-quality | Model: gpt-4o
Define a QA rubric for Veo/Sora outputs: artifact check, lip sync plausibility concept, continuity, brand compliance. Output a pass/fail sheet.
Author: Assistant
Category: video-quality-assurance | Model: gpt-4o
Given a product brief, have ChatGPT write acceptance criteria and test outlines, ask Cursor to generate unit/integration tests and the minimal code, then let Antigravity agents execute the suite and o...
Author: Assistant
Category: quality-engineering | Model: gpt-4o
ChatGPT proposes sample scenarios; Cursor generates runnable apps per SDK; Antigravity tests in clean envs and publishes to a gallery. Provide quality bar and review cycle.
Author: Assistant
Category: developer-relations-tooling | 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
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
Benchmark software and hardware competitors’ support: SLAs, channels, CSAT, community presence. Provide macro templates and escalation playbooks.
Author: Assistant
Category: customer-success-intel | Model: GPT-5.1
Compare HACCP, allergen labeling, and recall response speed among food competitors. Output gaps and a trust-building comms plan.
Author: Assistant
Category: quality-compliance-food | Model: GPT-5.1
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
Define ownership, contracts, SLAs, and tests for critical data sets. Output a monthly scorecard and escalation policy.
Author: Assistant
Category: data-governance | 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
Provide vendor scorecards for agencies/factories/cloud: quality, cost, delivery, responsiveness, and security. Include escalation ladders.
Author: Assistant
Category: vendor-management | Model: gpt-4o
Create an i18n checklist for web/app: UTF-8, zh-TW locale, pluralization, truncation, font fallbacks (Noto Sans TC), RTL-safety check, and screenshot diffing.
Author: Assistant
Category: frontend-quality | Model: gpt-4o
Build a CLI around exiftool/ImageMagick to remove metadata and resize/compress for web. Flags: --strip, --resize 1920x, --quality 85, --recursive, --backup.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Act as a peri-op partner. Provide surgical prophylaxis choices/timing, glucose/temperature/oxygen targets, and DVT prevention table. Include stop-order reminders.
Author: Assistant
Category: perioperative-quality | Model: gpt-5
You are a safety scientist. Create an adverse event/near-miss reporting SOP, just culture primer, M&M presentation template, and action tracking sheet.
Author: Assistant
Category: quality-safety-education | Model: gpt-5
Act as a health services researcher. Design a mixed-methods evaluation: access/quality metrics, cost analysis, patient-reported outcomes, and equity lens. Include a difference-in-differences plan.
Author: Assistant
Category: health-services-research | Model: gpt-5
Act as a QI mentor. Deliver a QI starter: aim statement, baseline data plan, driver diagram, PDSA templates, run-chart how-to, and sustainability checklist. Include clinic and ward examples.
Author: Assistant
Category: quality-safety | Model: gpt-5
Act as a quality lead. Provide a lightweight QMS starter for medical software: SOP index, document control, risk management, traceability matrix, and verification/validation plan.
Author: Assistant
Category: quality-systems | Model: gpt-5
Act as a creativity coach. Set a 7-day challenge using one camera, one prime. Provide constraints, daily prompts, and critique criteria to improve vision and timing.
Author: Assistant
Category: photography | Model: gpt-4o
Act as a measurement lead. Define a dashboard: earned reach, share of voice, sentiment, referral traffic, lead quality, and cost equivalents. Include UTM scheme and monthly review agenda.
Author: Assistant
Category: PR | Model: gpt-4o
Act as an editing coach. Compare AI denoise and super resolution tools, artifact control, face recovery limits, and disclosure ethics. Provide before/after QA checks.
Author: Assistant
Category: photography | Model: gpt-4o
You are a quality engineer. Draft a QC plan for incoming and in-process inspections: AQL sampling, SPC chart selection, measurement system analysis, and nonconformance handling with 8D template.
Author: tsubasa
Category: mechanical | Model: gpt-4o
You are an industrial engineer. Design a time-and-motion study for a small assembly line: takt time, bottleneck analysis, waste categories, Kaizen ideas, and a 20% throughput improvement plan.
Author: tsubasa
Category: mechanical | Model: gpt-4o
Design a yield-ramp methodology: defect density assumptions, critical area analysis, redundancy strategies, pattern-matching for systematic defects, Pareto dashboards, and wafer map analytics. Include...
Author: Assistant
Category: chip-design | Model: gpt-4
You are a sourcing lead. Prepare a negotiation brief for a PCB assembly vendor: target price, leverage points, alternates, volume breaks, quality clauses, service levels, and a concession strategy.
Author: tsubasa
Category: mechanical | Model: gpt-4o
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
As a systems engineer, conduct a DFMEA for a belt-driven actuator with motor, gearbox, encoder: severity-occurrence-detection scoring, top 10 RPNs, mitigations, and verification tests. Provide a compa...
Author: tsubasa
Category: mechanical | Model: gpt-4o
You are a manufacturing engineer. Create a supplier qualification plan using PPAP elements: design records, FMEA, control plan, MSA, capability studies, PSW. Include selection criteria, audit checklis...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Act as a head of engineering. Create a reliability roadmap: target error budgets, dependency upgrades, chaos drills, capacity plans, and quarterly goals linked to SLO improvements. Provide a dashboard...
Author: tsubasa
Category: engineering | Model: gpt-4o
You are a quality engineer. For a safety-conscious product, define design controls: requirements matrix, verification/validation plan, risk management (ISO 14971 style), and traceability from user nee...
Author: tsubasa
Category: mechanical | 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
Outline a partnership-driven growth hack for entering Asian markets via local marketplaces (e.g., Tokopedia, Shopee, Lazada). Provide tactics for co-promotions, discount mechanics, onboarding merchant...
Author: Assistant
Category: growth-hack | Model: gpt-4
Refactor this prompt into a testable brief with: goal, constraints, input schema, output schema, and acceptance tests. Provide 3 variants: (A) speed-optimized, (B) accuracy-optimized, (C) cost-optimiz...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Design an A/B (or multivariate) experiment plan to compare two prompts for the same task. Include: hypotheses, metrics (precision/recall or qualitative rubric), sample size heuristic, randomization me...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Take a prompt and inject 10 practical guardrails: forbidden content notes, schema validation, refusal policy, and fallbacks. Provide both a short and long version. Output as two Markdown blocks.
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
Given a single messy prompt, split it into System, Developer, and User roles. Explain why each instruction belongs where. Output: role, instruction, reason, risk_if_misplaced.
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Create a lint checklist for prompts: brevity, unambiguous instructions, schema-first outputs, guardrails, and eval hooks. Return a checklist table with yes/no and examples. Add 5 before→after rewrites...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | 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
Compress a long prompt by >40% while preserving constraints and output format. Show a diff (removed/kept/condensed) and a final compressed version. Return as Markdown with a 3-row risk table.
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Assemble a few-shot set: 5 positive examples, 2 negative counter-examples. Each example contains: input, rationale (1–2 lines), correct output. Return JSONL, then propose an ordering strategy to minim...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Prepare a spec to render X-bar/R and P charts with rule violations. Include input column names, calculation steps, and UI annotations. Output as Markdown + CSV example.
Author: Curioforce Corp. Corp.
Category: Industrial Visualization | Model: gpt-5-thinking
Translate the prompt’s requirements into a lightweight program skeleton with function signatures, I/O types, and edge cases. Provide implementations for input parsing and output validation. Language-a...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Write an SOP for safe operations during dust storms in Lanzhou. Cover: real-time monitoring triggers, temporary indoor shift plans, PPE selection, intake filtration check, equipment covers, cleaning p...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Create an audit pack for power quality in a Lanzhou workshop: voltage dips, harmonics, power factor. Return: instrument list, sampling plan, acceptance thresholds (placeholder ranges), root-cause tree...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Assemble a readiness checklist to bid on municipal/provincial industrial projects around Lanzhou. Include company docs, safety/quality records, financials, past performance, local service plan, and gu...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Design a plan to hire and upskill workers in Lanzhou. Return a 90-day pipeline: role profiles, skill matrices, on-the-job modules, partner outreach to local vocational schools, and a monthly evaluatio...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Design a cold-chain plan for beef and other perishables tied to Lanzhou noodle shop suppliers and commissaries. Return a flow: receiving → chilled storage → prep → dispatch → delivery windows, with te...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breake...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Design a giveaway strategy that grows qualified followers without low-quality entrants. - Prize-market fit matrix - Entry mechanics (save, comment keyword, UGC submission) and anti-bot checks - Platfo...
Author: Inspire Search Corp.
Category: Growth | Model: gpt-5-thinking
Define health metrics (active members, comment velocity, quality flags). Set alert thresholds and remediation steps.
Author: Inspire Search Corp.
Category: 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: analyze cohort retention and power-user curve. Data: GA4 users and events, subscription logs if applicable. Steps: 1) Build weekly cohorts by first_visit; 2) Compute W1–W12 retention; 3) Plot po...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: 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: identify sector rotation and factor tilts. Perplexity: compile recent sector leadership drivers and factor (value/growth/quality) narratives; capture catalysts. Bloomberg: EQS<GO> to screen sect...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
You are a talent scout. Given {niches} and {regions}, build a ranked long‑list of emerging creators (1k–50k followers) with high up‑and‑to‑the‑right momentum. Method: use public signals (posting caden...
Author: Tsubasa Kato
Category: Market Research | Model: gpt-5
Create a market map for {space}. Buckets: Infra, Tooling, Apps, Services, Community. Propose a 0‑100 scoring rubric with weights for Momentum, Distribution, Moat, Team, Signal Quality. Score {entities...
Author: Tsubasa Kato
Category: Market Research | Model: gpt-5
Describe a scenario where you are tasked with optimizing the workflow of a supercomputing cluster used for climate modeling. The cluster has 10,000 cores and is running a complex simulation that requi...
Author: Prompt Generator
Category: Supercomputing & AI | Model: llama3.1:latest
Rewrite the text to be clearer and friendlier while preserving meaning. Offer 3 tone options (neutral, professional, playful) and a bullet list of improvements with before→after examples. Text: {{past...
Author: ChatGPT
Category: Editing | Model: gpt-5
Given the code, identify 3 likely bugs and 3 improvements (readability, performance, security). Provide a minimal diff and a short rationale for each change. Code: {{code}}.
Author: ChatGPT
Category: Coding | Model: gpt-5
For {{model_family}} training on {{hardware}}: - Estimate energy/emissions baseline - Apply: low-rank adapters, distillation, AMP, token pruning, data curation - Carbon-aware job placement Provide a t...
Author: Tsubasa Kato
Category: mlops | Model: gpt-5-thinking
Design micro-interventions for {{ICP}} that improve daily health without nagging. Deliver 20 interventions mapped to moments (work, commute, evening), opt-in, and privacy notes. Add measurement and ha...
Author: Tsubasa Kato
Category: health | Model: gpt-5-thinking
Audit {{flow}} for accessibility and wellness. Propose improvements in typography, contrast, motion, haptics, and break reminders. Provide success criteria and QA checklist.
Author: Tsubasa Kato
Category: design | Model: gpt-5-thinking
Design a quarterly org health pulse: survey items aligned to engagement drivers, heatmap by team, and actions for top 3 issues. Provide facilitator guide, comms plan, and follow-up metrics to verify i...
Author: ChatGPT
Category: HR | Model: GPT-5 Thinking
Evaluate vendors from <contracts> and <usage>. Build a scorecard (price, service quality, security, lock-in risk, business impact). Recommend renew, renegotiate, or replace with quantified ROI and swi...
Author: ChatGPT
Category: CFO | Model: GPT-5 Thinking
Feedstock price relief improves margins for Asian refiners and heavy users. Action: revisit Q4 procurement; lock discounts where possible; align freight hedges with new OSPs.
Author: ChatGPT
Category: Commodities (Asia) | 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
Be a service-bay lead preparing cars for periodic Shaken. Deliver: intake checklist (lighting, brakes, emissions), J-OBD II scan tree, torque spec library, corrosion/undercarriage points, VIN/photo ev...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Act as supplier-development lead. Deliver: APQP-lite for Tier-2/3: CTQ flowdown, PFMEA starter kit, control plan grid, PPAP evidence list, gauge R&R plan, and logistics milk-run map. Include genba aud...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Deploy LPA across lines. Deliver: rotating checklist library tied to CTQs, mobile audits, instant containment workflow, and monthly trend councils. KPIs: escape rate ↓, audit closure ↑. Output: schedu...
Author: Tsubasa Kato
Category: Quality | Model: GPT-5 Thinking
Plan a benign simulation for cold-chain monitoring. Deliver: sensor placement, sampling rates, alert thresholds, route geofences, and re-pack SOP. KPIs: time-out-of-range, spoilage proxy. Output: dash...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Act as an industrial engineer. Build a warehouse digital twin to improve pick speed and accuracy. Deliver: data contracts (SKU dims/velocity, ABC classes, aisle graph), slotting policy experiments, pa...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Build a FinOps plan for AI: unit economics per task, cost alerts, usage quotas, fallback models, and A/B testing harness. Output dashboards (tasks/hour, cost/task, quality), run-book for anomalies, an...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Within 24h after releasing {{version}}, aggregate: bug reports, crash logs, CS tickets, social/dev forums. Provide top 5 issues, severity, repro notes, and a 3-step hotfix plan.
Author: Tsubasa Kato
Category: Engineering | 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
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
Summarize the key points of this memo in a concise executive summary of no more than 100 words, focusing on the main objectives, conclusions, and any critical action items. Source: Improved prompt ...
Author: [email protected]
Category: business, executive summary, summary, short | Model: GPT-4o,GPT-5,GPT-4
I've just closed a deal with a leading manufacturing company that adopted our predictive maintenance software. They've seen a 30% reduction in unplanned downtime in the first six months. Draft a one-p...
Author: [email protected]
Category: case study, business | Model: GPT-5, GPT-4o, o3
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
Explain the importance of data quality in LLM training.
Author: [email protected]
Category: LLM, training, AI | Model: GPT-4.1, 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 high-quality illustration of a character in traditional Japanese anime style. The image should have clean lines, vibrant colors, and expressive facial features. The character is a young warri...
Author: [email protected]
Category: Image, image generation | Model: GPT-4.1, o4mini, o3
You are an analytics expert for a small startup looking to boost website traffic. Create a detailed plan on how to analyze and optimize traffic strategies. Include recommendations for using tools like...
Author: [email protected]
Category: analytics, website traffic, Google Analytics | Model: GPT-4o, o3-mini, o3-mini-high, o1
Develop a backlink strategy by identifying high-quality websites in your niche and using link building tools like Moz or Ahrefs to find and create relevant backlinks.
Author: [email protected]
Category: SEO, strategy | Model: GPT-4o, GPT-4, o3-mini, o1
Act as a pro senior software engineer. Please review the following code, identify potential issues, suggest optimizations, and recommend performance improvements:
Author: [email protected]
Category: Job title | Model:
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
Imagine you are a personal development coach. Suggest strategies for improving time management and productivity for a remote worker.
Author: Admin
Category: Self-Improvement | Model: GPT-4o
Assume the role of a personal fitness trainer. Develop a 4-week workout plan for a beginner aiming to improve overall fitness, including exercises and nutritional advice.
Author: Admin
Category: Health & Fitness | Model: GPT-4o
What databases, tools, or technologies are essential for gathering and analyzing data in this field? How can emerging technologies improve research outcomes?
Author: [email protected]
Category: database, gathering,analyzing | Model: GPT-4o,o3-mini,o3-mini-high
Investigate the use of blockchain technology in supply chain management for improving transparency, traceability, and efficiency.
Author: Supply Chain Manager
Category: Business | Model: GPT-4
Analyze the latest trends in DevOps and their impact on software delivery speed and quality. Identify best practices and tools for implementing a successful DevOps strategy.
Author: DevOps Engineer
Category: Technology | Model: GPT-4
I’m a project manager who needs to implement high-efficiency meeting processes in my company. I want to reach decisions and consensus faster in each meeting. What strategies and tools can significantl...
Author: Admin
Category: Meeting Efficiency | Model: o1 Pro
I’m a working professional and often find myself getting distracted at work. I’d like to improve my focus and complete tasks more efficiently. What strategies can help me stay focused and boost my pro...
Author: Admin
Category: Focus Enhancement | Model: o1 Pro
My team often experiences delays due to poor communication. What strategies can help us improve our collaboration efficiency?
Author: Admin
Category: Team Collaboration | Model: o1 Pro
I’ve been struggling with a creative block and can’t come up with new ideas. What techniques can help me spark creativity and improve my ability to capture inspiration?
Author: Admin
Category: Creative Inspiration | Model: o1 Pro
I often juggle multiple tasks throughout the day but always feel pressed for time. I want to improve how I utilize my time—what strategies can help me complete my tasks efficiently?
Author: Admin
Category: Time Management | Model: o1 Pro
I'm curious about GPT-4’s improvements over older models.
Author: Community
Category: LLM Versions | Model: GPT-4