Searchable AI prompt library
Structured instructions for completing individual tasks with an AI tool. Filter by outcome, category, tool, difficulty or keyword.
Open a Prompt to copy its instructions, run supported Prompts privately in Workplace, or prepare a task for Codex where available. Copying text does not run the Prompt.
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.
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.
Design an implementation-ready multi-agent workflow with explicit agent responsibilities, routing logic, shared-state rules, evidence-backed review gates, authority boundaries, failure recovery, and acceptance tests.
Assess whether an analysis can support a causal claim by examining identification assumptions, design-specific threats, diagnostics, and alternative explanations.
Design a lightweight, evidence-based personal knowledge system for capturing, organizing, retrieving, reviewing, and safely migrating notes and references.
Extract traceable claims, methods, sample details, results, limitations, and short supporting quotes from research sources into a verification-ready evidence table.
Analyze a learner’s response against the intended knowledge and reasoning, distinguish supported misconceptions from alternative explanations, and select a targeted teaching move and diagnostic follow-up.