Showing results for "self-transfer"
Assess governance models for large-scale industrial partnerships that maximize technology transfer, build local capabilities, manage risk, and deliver long-term value in a diversified economy.
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Analyze how mega-science installations and international research partnerships influence a nation's long-term innovation trajectory, funding models, talent pipelines, technology transfer, and diplomat...
Author: Curioprompt
Category: Science | Model: gpt-5-nano
You are an expert **Senior Technical Content Strategist** specializing in transforming complex, low-level engineering documentation (such as protocol specifications, API call sequences, or hardware da...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are 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
Create a plan for generating API clients: typed SDKs, version pinning, integration tests, and docs. Include a policy against generating unsafe dynamic code.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a 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 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 plan for rotating secrets using a vault and short-lived tokens. Ensure no secret values are ever logged, diffed, or included in artifacts.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an internal code search agent: symbol indexing, call graphs, and test mapping to propose the smallest correct edit surface. Include caching and explainability.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that updates docs alongside code changes: API docs, READMEs, and changelogs. Include a doc quality checklist and link validation.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent to optimize CI time: caching, test sharding, and selective runs while preserving safety. Include a policy to prevent skipping critical tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that checks API changes for backward compatibility: OpenAPI/JSON schema diffs, deprecation policy, versioning, and migration notes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a patch strategy that prefers minimal diffs: isolate behavior changes, avoid formatting churn, and include clear intent comments. Add a “diff size budget.”
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design 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 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
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 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 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 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
Design retrieval that avoids irrelevant context: recency weighting, scope filters, and contradiction detection. Include evals for context precision/recall.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a loop where production failures and near-misses become new eval tests. The agent should propose test additions with minimal reproductions and acceptance criteria.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an 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 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
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 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
Design an agent that optimizes tail latency: identify bottlenecks, reduce contention, add caching, and validate with load tests. Track p95/p99 improvements.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create 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 an agent to improve alt-text and form labels, requiring neutral phrasing, avoiding sensitive inference, and validating with accessibility tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a 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
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
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
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 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
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
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 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
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 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
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 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
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 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
Design a configuration validation layer: schema checks, safe defaults, and environment-specific constraints. Include rollback strategy and change approvals for risky config.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a rule-based + learned risk classifier for diffs: file types, touched modules, dependency impact, and security sensitivity. Use it to decide required gates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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
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
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
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 a policy for change budgets: cap number/size of automated PRs per day, prioritize highest impact, and avoid overwhelming reviewers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a global kill switch that halts all automated edits/deploys across environments. Include manual override process and audit logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design ownership enforcement: CODEOWNERS mapping, required reviewers per module, and automatic routing. The agent must not merge without required approvals.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design 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 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
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 method to add assertions/contracts before refactoring so behavior is constrained. Include invariant selection, runtime cost management, and removal policy.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define error budgets and a policy: when error budget is low, block auto-deploys and require human approval. Include dashboards and alert thresholds.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a loop to detect memory leaks: reproduce with stress tests, capture heap snapshots, propose fix, and verify stability. Include regression tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a migration workflow: generate migrations, run on staging snapshots, verify invariants, measure runtime, and define rollback strategy. Require human approval for prod.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design characterization tests for legacy code before refactoring: capture I/O behavior, edge cases, and performance baselines. Use them as a gate for changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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 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 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
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
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 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 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 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
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 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
Design an agent that reduces third-party API spend via caching, batching, and smarter fallbacks, while preserving correctness. Include cost dashboards and guardrails.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that tunes retry/backoff/rate-limits based on telemetry. Require proofs that error rates drop without raising costs or latency.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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 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
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 reproducible build pipeline: pinned deps, lockfiles, hermetic builds, SBOM generation, and provenance attestation for every self-edit.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a 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
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
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 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 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 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 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 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 confidence scoring model for proposed changes based on tests passed, diff risk, code area criticality, and evidence quality. Use it to decide automation level.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a 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 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 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 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
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
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 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
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
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 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 UI improvements for reviewing AI-made diffs: risk highlighting, test evidence, and “what changed semantically.” Include A/B testing plan for reviewer speed/accuracy.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a test selection algorithm that runs only relevant tests for a diff but guarantees critical coverage (safety suite always runs). Include calibration and drift checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a routing agent that selects specialized agents (tests, security, perf, docs) based on task intent and risk. Include confidence thresholds and fallbacks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a 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 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
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 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 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 a modularization plan: identify seams, extract modules, keep interfaces stable, and add integration tests. Require incremental steps and metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a 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 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 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 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
Create a plan to tighten interfaces with types, schemas, and validation at boundaries. Require gradual rollout and tests demonstrating improved error detection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design 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 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 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 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 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 explicit stop rules: max iterations, max diff size, max retries, and “ask human” triggers. Include monitoring for loop detection and runaway behavior.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design 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
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
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 lesson sequence to teach English articles (a/an/the) to Japanese learners: common error patterns, concept checks, and practice that transfers to writing.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Teach a method to learn an artist’s style without copying: identify signatures (rhythm, harmony, phrasing), create constraints, and generate original studies. Include 10 study prompts.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create a connection risk guide: minimum connection times, terminal changes, buffer rules, and what to do if a connection is missed. Provide different guidance for USA/Europe/Asia hubs.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a major train station strategy: platform changes, ticket validation, luggage storage, food, station hotels, and transfer timing. Include advice for Europe, Asia, and North America.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a premium luggage and transfer plan: checked bags, porter services, private transfers, hotel luggage forwarding where available, and contingency for lost bags.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Act as an executive coach. Ask me 10 diagnostic questions about how I show up in meetings (voice, brevity, stance, framing). Then give a 2-week practice plan with measurable drills and a self-scoring ...
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create transfer buffer rules for airplane→train, train→ship, ship→airplane, and train→train connections. Include immigration, baggage, port transfers, and delay risk.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a self-management OS: weekly planning, daily top 3, reflection, and stakeholder updates. Include a template and guidance for sticking to it.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a strategy for career pivots: transferable skills, narrative, portfolio, networking plan, and interview prep. Include a 90-day pivot roadmap.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Explain pros/cons of multi-carrier flight itineraries: rebooking support, baggage transfers, and disruption handling. Provide a decision guide to prioritize reliability.
Author: Assistant
Category: smart-ticketing | 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 concise brief I can send to a concierge/travel advisor. Include preferences, constraints, dietary needs, seating/cabin preferences, transfer expectations, and non-negotiables.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create buffer rules for itineraries: airport arrival times, station arrival times, and transfer buffers. Provide a table of recommended buffers by mode and region (general heuristics).
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Build a route tradeoff matrix for my trip: cheapest, fastest, most comfortable, most scenic, and most resilient. Include hidden costs, transfer stress, and upgrade points where luxury actually improve...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Explain a brake bedding procedure conceptually and create a performance verification checklist. Include temperature management, pedal/lever feel, rotor transfer layer, noise symptoms, and when to re-i...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a port logistics checklist: arrival time, luggage, boarding documents, terminal transfers, local transport, and disembarkation planning. Include cruise, ferry, and cargo/passenger ship contexts...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a points/miles strategy for a multi-region trip. Include when to redeem miles vs pay cash, positioning flights, transfer partners, stopovers, and avoiding poor-value redemptions.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a ticket-buying strategy based on my priorities (lowest price, shortest time, flexible changes, best seats, minimal transfers). Output a decision tree for bus/air/train across Asia, Europe, and...
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Audit a luxury itinerary and identify which upgrades are truly worth it: premium cabins, lounge access, sleeper cabins, private transfers, hotels near stations/ports, and concierge services. Provide a...
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Audit hidden costs in my itinerary: baggage, seat fees, station transfers, visas, port taxes, resort fees, data plans, tips, and currency conversion. Output a true-cost estimate.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Explain the pros/cons of separate tickets (especially flights + rail). Provide criteria for when it’s safe, recommended buffer times, and what protections you lose. Include a practical checklist.
Author: Assistant
Category: smart-ticketing | 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 toolkit for performance anxiety: pre-performance routine, breathing, mental rehearsal, ‘mistake recovery’ tactics, and a 2-week exposure plan. Include a short script for self-talk.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Design a critic pattern: structured critique prompts, bounded iterations, and a stop rule. Include how to measure improvement vs added latency/cost.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a TOEFL Listening note-taking method: shorthand symbols, structure for lectures vs conversations, and how to capture transitions and examples. Provide 10 drills and a self-check checklist.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Create homework ideas with high completion rates: micro-tasks, self-checking, and accountability. Include a weekly routine and incentives that aren’t punitive.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Design a 5-lesson mini-course on counterpoint: species rules, common errors, and daily exercises. Include an AI-assisted checking method and a rubric for self-evaluation.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
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
Plan a ‘little luxuries’ evening at home: bath/tea/reading/music. Provide a menu of low-cost upgrades and a calming script to guide the night.
Author: Assistant
Category: wellbeing | Model: gpt-4o
Create a budget-friendly New Year gift basket plan with 3 budget tiers, item lists, packaging tips, and a handwritten note template. Include options for tea/coffee, self-care, and snacks.
Author: Assistant
Category: gifting | Model: gpt-4o
Design a solo New Year ceremony that still feels special: light a candle, write 3 letters, take a night walk, and plan one act of kindness. Include a 30-minute schedule.
Author: Assistant
Category: personal-rituals | Model: gpt-4o
Create a referral intake form for staff/parents: presenting concern, urgency indicators, history, and requested support. Include optional anonymous student self-referral version.
Author: Assistant
Category: intake-and-triage | Model: gpt-4o
Create 5 mini-lessons: email etiquette, punctuality, teamwork, conflict, and self-advocacy. Provide activities and quick assessments.
Author: Assistant
Category: life-skills-curriculum | Model: gpt-4o
Draft a collaboration checklist for counselors coordinating IEP/504 supports: accommodations audit, teacher alignment, student self-advocacy, and review meetings.
Author: Assistant
Category: special-support-coordination | Model: gpt-4o
Aggregate rumor tiers (credible/questionable), wage/fee bands, and tactical fit. Include a fan slider (‘worth it?’) and a director-of-football POV note.
Author: Assistant
Category: window-watch-engagement-tools | Model: gpt-4o
Create a transition plan for transferring/new students: records review, placement, peer buddy, and 2-week check-in schedule. Include parent welcome message template.
Author: Assistant
Category: student-onboarding | Model: gpt-4o
Create a thread on a shortstop’s range/transfer: OAA splits, pivot speed, and relay decisions. Attach slow-mo clips and crowdsource best play voting.
Author: Assistant
Category: deep-dive-defense-fan-vote | Model: gpt-4o
Create a 6-week small group plan (friendships, stress, self-esteem). Include norms, weekly activities, and pre/post reflection measures.
Author: Assistant
Category: group-programs | Model: gpt-4o
Design a 2-week study plan covering basic networking, OS fundamentals, and web security (OWASP Top 10). Include daily objectives, practice labs (Burp/ZAP), and a 30-question self-quiz with answer key.
Author: Assistant
Category: learning-path | Model: gpt-4o
Write a coaching session plan to help students self-advocate with teachers: request script, email template, and role-play scenarios.
Author: Assistant
Category: student-empowerment | Model: gpt-4o
Propose a self-play generation strategy where a teacher model drafts, a critic model scores, and a curator enforces diversity/novelty. Provide leakage and drift monitors.
Author: Assistant
Category: data-synthesis-LLM | 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
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
Act as a rail strategist. Given trip length, cities, and pace, compare European passes with major Asian regional passes. Output a table of costs, seat reservation needs, pros and cons, and a sample it...
Author: Assistant
Category: travel-planning | Model: gpt-4o
Generate 6 practice prompts (2 per task type), timing cues, sample high-band responses, and a self-evaluation rubric (delivery, language use, topic development). Include filler-word reduction drills.
Author: Assistant
Category: speaking | Model: gpt-4o
Produce a soloist risk plan: check-in cadence, route notes left at home, defensive camp layout, and self-rescue strategies.
Author: Assistant
Category: risk-solo | Model: gpt-4o
Given origin, destination, and dates, compare door-to-door time and cost for budget airlines vs high-speed rail in Europe and Asia. Include airport transfers, security time, and baggage fees.
Author: Assistant
Category: transport-optimizer | Model: gpt-4o
You are a station strategist. Give navigation tips for Tokyo, Shinjuku, Shibuya, Osaka/Umeda, and Kyoto stations: landmarks, platforms, coin lockers, and transfer timing.
Author: Assistant
Category: transport-knowhow | Model: gpt-4o
You are a wellbeing lead. Create personal and unit-level micro-resets, debrief rituals, coverage norms, and a resource map. Include a self-check dashboard (red/amber/green).
Author: Assistant
Category: workforce-health | Model: gpt-5
Act as a compliance advisor. Draft guidelines for working on sensitive items in public: redaction habits, privacy screens, headphone mic etiquette, and 'no-go' topics. Provide a quick self-check.
Author: Assistant
Category: compliance | Model: gpt-5
Act as a sales manager. Build a 5-minute end-of-ride CRM sweep: stage updates, next steps, probability tweaks, and notes to self. Output a checklist and a forecast sanity check.
Author: Assistant
Category: sales | Model: gpt-5
Outline a cross-border payments flow in Geneva for booking-center transfer pricing basics (illustrative). Include currencies, rails, cut-off times, fees, and reconciliation. Return as a sequence list ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Prepare a chemical storage and transfer checklist suitable for petrochemical-adjacent sites in Lanzhou. Sections: inventory register, segregation, secondary containment sizing rule-of-thumb, spill kit...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Develop a prompt that generates an optimized HPC job schedule, considering resource allocation, data transfer times, and energy efficiency for a large-scale simulation task.
Author: Prompt Generator
Category: Supercomputing | Model: llama3.1:latest
Coach the founder to perform on camera. Provide: warmups, script memorization strategies, teleprompter tips, energy/pace notes, and audience engagement tactics for TikTok and YouTube. Include a 2-week...
Author: Tsubasa Kato
Category: enablement | Model: gpt-5-thinking
Plan a microgrid simulation with PV + battery for a small campus. Deliver: load profiles, weather data, inverter models, dispatch strategies, KPIs (LCOE, self-consumption, outage hours), sensitivity. ...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Create a plan to simulate an active/band-pass filter with component tolerances. Deliver: transfer targets, SPICE model set, Monte Carlo runs, temperature corners, KPIs (gain ripple, Q, phase), manufac...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Outline a 60-day indie publishing launch for an ebook and paperback. Cover ARC outreach, Goodreads tactics, newsletter swaps, pricing promos, ads testing, and a simple KPI dashboard.
Author: ChatGPT
Category: publishing | 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
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