Commit to an AI PRD that contains its own eval logic
Commit to drafting the next AI PRD with explicit decision framing, guardrails, and pilot evaluation criteria.
Revise the AI PRD you are currently carrying so it names the user decision, trusted inputs, unacceptable miss, non-goals, and pilot metric before the next cross-functional review. Use this for a real AI PM situation such as a retrieval assistant kickoff, a summarization workflow review, or a launch-readiness PRD update where the team will challenge scope and evaluation. Situation: I am editing the PRD for ____________________. Decision statement: The user is deciding whether to ____________________ in the moment ____________________. Trusted inputs: The system may rely on ____________________. Unacceptable miss: The product must not ____________________. Pilot metric: We will know this…
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