AI Feature PRD Skill

AI features break the normal PRD because the system is probabilistic: it will be wrong sometimes, and the product must be designed around that, not in denial of it. This skill extends a standard PRD with the AI-specific sections that decide whether the feature is trustworthy — the UX of uncertainty, the eval bar, guardrails, and what happens when the model is wrong.

Required Inputs

Ask for these only if they aren't already provided:

• The user problem and why an AI/probabilistic approach fits it (vs. deterministic rules).
• What "good" looks like to the user, and the cost of a wrong answer (low-stakes vs. high-stakes).
• Inputs available — context/data the model can use; privacy constraints.
• Trust level needed — can the user verify the output, or must it be near-perfect?

Reads from / Writes to the Brain