Searchable workflow library
Find copy-ready prompts for Codex, ChatGPT, Claude, Gemini, and practical AI workflows. Filter by outcome, category, tool, difficulty, or keyword.
Create a build-ready n8n AI workflow blueprint covering node configuration, data contracts, approval gates, failure recovery, audit evidence, testing, rollout, and acceptance status without claiming execution.
Generate a repository-specific AGENTS.md for Codex with scoped editing permissions, evidence-based commands, approval gates, security controls, verification requirements, and honest completion reporting.
Evaluate a website’s readiness for AI-generated answers, AI Overviews, answer engines, and citation-based discovery using traceable evidence, scored controls, competitor comparisons, and an approval-ready improvement plan.
Use Codex to scope, design, implement, and verify the smallest useful version of an app while preserving repository conventions, controlling consequential actions, and separating proposed work from evidence-backed results.
Build an execution-ready marketing campaign plan with evidence-backed messaging, audience segments, channel decisions, human approval gates, measurement definitions, a capacity-aware calendar, and clear AI boundaries.
Use ChatGPT to produce a prioritized, evidence-traceable SEO refresh brief for an existing article, covering intent alignment, content gaps, metadata, links, citations, schema eligibility, verification, and post-refresh measurement without claiming unperformed changes.
Map a manual business process, evaluate AI and deterministic automation opportunities, define human controls, and produce an evidence-linked implementation and validation plan.
Analyze unmanaged workplace AI use with explicit evidence, uncertainty, severity scoring, data-exposure analysis, acceptable-use controls, and a phased governance roadmap.
Design an implementation-ready RAG architecture with governed retrieval, citations, tool boundaries, safety controls, evaluation tests, rollout gates, and evidence-based acceptance criteria.
Design a reusable, risk-aware evaluation harness for an AI prompt, with traceable requirements, realistic test cases, weighted scoring, execution records, release gates, and evidence-based improvement priorities.
Audits AI-generated content against supplied evidence, acceptance criteria, and authorized checks, producing a claim-level verification register, risk controls, and a human release recommendation without overstating what ChatGPT inspected or executed.
Expert ChatGPT prompt for evidence-constrained security analysis of autonomous AI workflows, including permissions, trust boundaries, prompt injection, data exposure, approval controls, observability, containment, rollback, and residual risk.