Prompt

Outcome: Use or evaluate Prompt to make AI behavior measurable and tied to evidence. User context: A writing prompt states the reader, goal, source facts, tone, limits, and output format. AI method or concept: Prompt. Why it fits: Give clear goals, evidence, boundaries, and rules for what counts as success. Do not use it when: Never use vague describing words, hide requirements, or give instructions that conflict. AI requirements: Define the input and source evidence. Set model and tool permissions. Use versioned evaluation data and measures. Define failure, decline-to-answer, privacy, speed, and cost limits. Operational safeguards: Keep a clear trace and hide sensitive log data. Show users a safe fallback. Mark steps that need human review. Define how to roll back the model or prompt. Acceptance criteria: Record baseline and target measures on a versioned evaluation set. Test edge cases and hostile inputs. Verify fallback, monitoring, permissions, and rollback. Evidence and limits (evidence boundary): No single official standard controls the whole term. Its meaning may change across teams, platforms, or frameworks. Unknowns to confirm: Target task, model and version, evaluation owner, source data, risk limit, tool permissions, and production fallback.