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 perform an evidence-based review of supplied CI/CD workflows, deployment scripts, migration behavior, configuration controls, observability, rollback readiness, and release verification plans without implying that production actions occurred.
Produce an evidence-aware webhook reliability design covering idempotency, retries, concurrency, partial failures, replay, reconciliation, monitoring, and safe operational handoff.
Review the past week, identify unfinished work, reset priorities, protect deep work, plan follow-ups, and create a realistic execution plan.
Evaluate sources for credibility, relevance, bias, evidence strength, limitations, conflicts, and synthesize findings into a clear research matrix.
Analyze a student work sample, distinguish supported observations from possible misconceptions, and design respectful reteaching, practice, feedback, and reassessment.
Audit supplied website evidence for entity clarity, topical coverage, claim support, internal linking, structured data, and citation readiness, then produce a prioritized 30-day plan without implying guaranteed AI search visibility.
Turn one founder insight and its supporting evidence into a review-ready week of distinct authority content, platform drafts, engagement prompts, repurposing assets, and a measurement plan.
Plan a career transition portfolio with proof-of-work projects, case studies, skills evidence, positioning, LinkedIn updates, and interview stories.
Analyze supplied offer evidence, separate observed objections from hypotheses, identify proof and positioning gaps, and produce truthful copy recommendations and test priorities.
Develop a prioritized, evidence-aware AI adoption roadmap with readiness scoring, pilot controls, governance, training, change management, measurable stage gates, and explicit decision ownership.
Use Codex to inspect available incident evidence and repository context, rank root-cause hypotheses, compare containment and recovery options, and produce authorization-aware hotfix, rollback, verification, and monitoring plans without overstating execution.
Design an evidence-grounded AI support triage blueprint with ticket classification, confidence thresholds, safe response drafting, escalation controls, human review, monitoring, and staged validation.