AI Product Canvas Skill

Define AI products with the same rigour as any product decision — but with additional layers for data, model, evaluation, and responsible AI. This canvas prevents the most common AI product failure: building a technically impressive feature that doesn't solve a real problem.

AI Product Anti-Patterns to Check First

Before building, flag if any of these apply:

• ❌ "We should add AI to [existing feature]" — with no user problem defined
• ❌ Accuracy target undefined before build begins
• ❌ No plan for what happens when the model is wrong
• ❌ User-facing AI output with no human review or fallback
• ❌ Training data not audited for bias or quality
• ❌ No evaluation metric — "we'll know it when we see it"

AI Product Canvas Output Format

AI Product Canvas — [Feature Name] — [Date]