Searchable workflow library
Find copy-ready prompts for Codex, ChatGPT, Claude, Gemini, and practical AI workflows. Filter by outcome, category, tool, difficulty, or keyword.
Use Codex to inspect a pull request, trace affected behavior, identify evidence-backed defects and regressions, assess security and operational risks, and produce a testable merge recommendation without overstating what was executed or verified.
Evaluate an AI vendor using evidence-qualified scoring, data-flow analysis, security and privacy controls, commercial risk, decision gates, and a safeguarded pilot plan.
Compare business AI opportunities with an evidence-linked scoring model covering value, feasibility, data readiness, delivery burden, risk, oversight, and time to value.
Build an implementation-ready blog content brief with search-intent analysis, claim-to-source mapping, answer-first copy, content gaps, internal links, schema checks, and explicit evidence limits.
Create an evidence-grounded plan for complex repository changes, with architecture inspection, phased implementation, migration and release controls, verification gates, rollback paths, and optional authorized execution.
Use ChatGPT to draft an evidence-traceable governance playbook for a business AI agent, including risk classification, least-privilege permissions, approval gates, human override, monitoring, incident response, and a conditional deployment-readiness decision.
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.