Showing results for "docs-freshness"
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
Draft constraints so research/crawling never performs intrusive activity; only access allowed APIs and public docs. Include a compliance checklist and enforcement.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a 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
Create a procurement-ready packaging plan: security docs, SLAs, pricing, and implementation steps. Include a checklist for selling to enterprise and government.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
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 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 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 sanitization so retrieved web/docs cannot inject instructions. Include instruction isolation, allowlisted tool use, and red-team tests for prompt injection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a 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 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 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 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
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
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 an agent that validates docs examples by executing them in a sandbox, checks links, and ensures version correctness. Propose fixes with evidence.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that updates 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
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 traceability: map docs claims to tests that verify them. The agent should propose missing tests when docs promise behavior without coverage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a 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 detects stale docs by comparing code/API schemas vs docs, then opens issues or PRs. Include a freshness score and SLA.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create 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
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 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
Design a URL frontier with ranking signals: relevance to query, freshness, link context, domain trust, and duplication risk. Include pseudocode-level description and metrics.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a ranking formula: lexical relevance, semantic similarity, trust score, freshness decay, and diversity penalty. Include how to tune weights and validate offline/online.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design incremental crawling: store ETags/Last-Modified, compute diffs, and update indexes incrementally. Include pitfalls and how to handle missing headers.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design caching: query result caches, page caches, and embedding caches. Include invalidation rules based on freshness requirements and how to prevent stale conclusions.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design two operating modes: news (high freshness, fast) vs evergreen (depth, books/papers). Include different source scoring, caching, and output formats.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a 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
Plan how to use sitemaps and RSS/Atom feeds to discover content efficiently. Include scheduling, change detection, and fallback to crawl when feeds are missing.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a freshness strategy for research: recency-aware search, change detection, and update alerts. Include how to present “as of” dates and avoid outdated claims.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Teach me how to locate primary sources behind headlines: official docs, datasets, transcripts, filings, standards, and direct statements. Provide a checklist and example queries.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a monthly 30-minute maintenance routine: rotate supplies, test lights, update contacts, refresh maps, and review plans. Provide a printable checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Teach me how to judge cybersecurity advice: vendor docs vs blogs, CVE references, reproducibility, and community consensus. Provide a validation checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Show me how to verify policy or regulatory claims by finding official text, amendments, effective dates, and authoritative summaries. Include a workflow and checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a system to generate help center articles: structure, tone, troubleshooting steps, screenshots plan, and a feedback loop. Output 10 example article drafts from a feature list.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Design an enterprise integration plan (high level): connect to CRM/docs/ticketing via MCP tools with strict scopes, auditing, and approvals. Include a rollout plan and risk controls.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Explain how to balance recency and reliability. Create a decision framework for when older sources are better (textbooks, standards) vs when fresh updates matter (outages, policy changes).
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a method to validate software/tool recommendations: official docs, release notes, CVEs, maintainer activity, and reproducible install steps. Include a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create an adoption plan for an AI-native development platform: target workflows (PRs, tests, docs), guardrails, secure-by-default templates, and developer enablement. Include a ‘tiny teams’ productivi...
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Write a 60-second mini-doc (generic, respectful): farm→processing→roasting→cup. Provide scene prompts and a voiceover with no brand claims.
Author: Assistant
Category: mini-doc | Model: gpt-4o
Create a 60-second day-in-the-life montage: morning temple, matcha, streets, sunset, night lanterns. Include respectful cultural framing, shot list, and prompts.
Author: Assistant
Category: travel-content | Model: gpt-4o
Draft a lightweight governance doc: roles, approvals, data retention, and publishing ethics for student teams.
Author: Assistant
Category: project-governance-student-labs | 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
Draft a handoff playbook from Suginami labs to contract manufacturers. Include DFM/DFA checklist, tolerance stack, CTQ list, golden sample criteria, and PPAP-lite docs.
Author: Assistant
Category: new-product-introduction | Model: gpt-4o
Architect a retrieval stack with hybrid search, temporal decay, dedup, and passage-level citation anchors. Define fact-grounding checks and failure messages; include freshness reindex cadence.
Author: Assistant
Category: retrieval-grounding-LLM | Model: gpt-4o
ChatGPT converts PR changes into docs; Cursor updates MDX/diagrams; Antigravity verifies links/examples and deploys docs site previews. Include contribution guidelines.
Author: Assistant
Category: documentation-ops | 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
Design a time-decay model that boosts fresh, authoritative sources. Include publisher priors, sitemap/news bias, and re-crawl triggers. Output evaluation with time-split test sets.
Author: Assistant
Category: ranking-freshness | Model: gpt-4o
ChatGPT converts commits/PRs into user-facing notes, Cursor wires scripts into release pipelines, Antigravity tags versions and posts notes to docs/Slack. Include deprecation warnings template.
Author: Assistant
Category: release-ops | Model: gpt-4o
ChatGPT defines naming/expiry rules; Cursor adds audit logs and cleanup jobs; Antigravity reports stale flags each sprint and opens removal PRs. Provide a governance doc.
Author: Assistant
Category: product-governance | Model: gpt-4o
Create a pre-cert checklist for consumer electronics: FCC (US), NCC/BSMI (Taiwan), safety (UL-like), and basic EMC pre-scan plan. Include label/packaging marks and doc control.
Author: Assistant
Category: regulatory-prep | Model: gpt-4o
Create an API governance doc: versioning policy, deprecation cadence, compatibility contract, changelog format, and regional rollout toggles.
Author: Assistant
Category: architecture-governance | Model: gpt-4o
Define a structured handoff from Sales to CS: discovery doc, admin setup, kickoff agenda, health scores, and expansion play triggers by region.
Author: Assistant
Category: revenue-ops-CS | Model: gpt-4o
Create an influencer plan using YouTube/IG/TikTok in US and YouTube/IG/LINE communities/Dcard in Taiwan. Include selection rubric, briefing doc, UTM structure, and brand safety checklist.
Author: Assistant
Category: influencer-programs | Model: gpt-4o
Draft Li-ion safety and shipping guidance: design safeguards, UN 38.3/IATA basics, MSDS docs, and returns handling for US/TW.
Author: Assistant
Category: safety-compliance | Model: gpt-4o
Build a CLI that converts markdown to PDF/Reveal.js slides using pandoc. Supports theme selection, code highlighting, and toc. Flags: --pdf, --slides, --template, --watch.
Author: Assistant
Category: cli-tool | Model: gpt-4o
You are a document coach. Provide a method to review contracts and docs on mobile: heading map, comment codes, risk highlights, and 'approve/block' criteria. Deliver a one-page SOP.
Author: Assistant
Category: legal-ops | Model: gpt-5
Act as a career strategist. Create a weekly commuter journaling template: wins, metrics, lessons, and kudos. Produce a quarterly 'brag doc' auto-summary format.
Author: Assistant
Category: career | Model: gpt-5
Act as an executive assistant. Turn a 3-minute voice memo into action items, owner, due date, and a summary paragraph. Provide a parsing template and examples.
Author: Assistant
Category: operations | Model: gpt-5
Act as a producer. Build a guest booking pipeline: outreach templates, calendar links, prep docs, show run-of-show, release forms, and social asset bundle.
Author: Assistant
Category: creator | Model: gpt-4o
You are a rapid-response editor. Produce a library: top 25 FAQs with answer scaffolds, holding statements for common risks, approval owners, and freshness review cadence.
Author: Assistant
Category: PR | Model: gpt-4o
Act as a CTO/CEO preparing a seed round. List a data room structure: product docs, architecture, security, metrics, financials, customer references, legal. Include a 6-slide tech appendix and a KPI gl...
Author: tsubasa
Category: leadership | Model: gpt-4o
Write a 14-day onboarding plan with day-by-day touchpoints, docs to send, and health-score checks. Provide a churn risk signal list. Output as a table.
Author: Curioforce Corp. Corp.
Category: Small Business Automation | 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
Write a winter market guide for Japan around ekiben winter boxed sets. Include freshness cues, vendor small talk phrases, and simple prep at home. Provide a laminated pocket checklist.
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Write a winter market guide for India around sarson ka saag with makki roti. Include freshness cues, vendor small talk phrases, and simple prep at home. Provide a laminated pocket checklist.
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Propose fresh, viral content ideas for a supermarket chain to promote on X, TikTok, and YouTube. Include flash-sale stunts, food challenges, recipe hacks, sustainability campaigns, and influencer coll...
Author: AI Prompt Writer
Category: marketing | Model: gpt-5
Act as a SOHO systems coach (<25 staff, minimal IT). Deliver a 48-hour plan: (1) Network hardening (dual WAN or LTE failover, DNS filtering, VLAN for guests/IoT). (2) Backup triad (local NAS + cloud +...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Ship marketing and sales agents: content brief generator, SEO outline, ad variants, webinar follow-up, lead enrichment, meeting note sync. Define prompts, tool chain (CRM, MAP, docs), eval rubric (bra...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
For {{case_or_filing}}, list all filing/response deadlines within next 7d and any changes in past 24h. Include court orders, docket updates, required docs, owners. Provide a checklist.
Author: Tsubasa Kato
Category: Legal | Model: gpt-5
Plan a Retrieval-Augmented Generation (RAG) knowledge base to deflect support tickets. Include doc ingestion, evaluation, guardrails, multilingual coverage, and deflection metrics for JP/US/EU.
Author: ChatGPT
Category: business | Model: gpt-5