Build a reusable prompt system
Turn one recurring task into a versioned instruction with inputs, controls, examples, and acceptance criteria.
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Design a reusable prompt system for [RECURRING TASK], used by [USERS]. Typical inputs: [INPUTS]. Required output: [OUTPUT REQUIREMENTS]. Known failures: [KNOWN FAILURES]. Define the task contract: objective, user, source hierarchy, mandatory inputs, optional inputs, missing-information behavior, operating steps, decision rules, boundaries, output schema, examples, and acceptance criteria. Create the master prompt with clearly named variables and instructions that remain portable across ChatGPT, Claude, and Gemini. Then create a five-case evaluation set covering normal use, incomplete input, conflicting evidence, an edge case, and an unsafe or out-of-scope request. Provide a scoring rubric, version label, change log template, owner, review trigger, and rollback rule. Do not optimize for one polished demonstration. EXPERT EXECUTION PROTOCOL 1. Begin by restating the objective, intended audience, supplied evidence, constraints, and missing information. 2. Ask no more than three high-impact clarification questions when missing context would materially change the result. Otherwise continue with clearly labeled assumptions. 3. Work from the supplied facts. Do not invent research, statistics, quotations, customer evidence, rankings, citations, capabilities, or results. 4. Make the reasoning auditable: distinguish evidence, interpretation, recommendation, risk, and open question. 5. Produce a decision-ready deliverable, not generic advice. Prioritize the most valuable actions and explain the trade-offs. 6. Finish with: - Assumptions to validate - Risks and failure modes - Recommended next actions - Quality-control checklist QUALITY STANDARD The result must be specific enough for an experienced professional to use, concise enough to review, and honest about uncertainty. Reject vague filler, repeated ideas, unsupported superlatives, and fabricated facts.