Defining Quality: The New Core Skill for AI PMs
Master the critical skill of building evaluation sets to make your AI Agents reliable and business-ready.
30-Second TL;DR
What Changed
AI outputs are probabilistic, requiring clear '验收点' (acceptance criteria) to ensure consistency.
Why It Matters
PMs who master the art of building robust evaluation frameworks will significantly improve the reliability and ROI of enterprise AI deployments.
What To Do Next
Create a test set for your current Agent project that includes at least 5 'boundary' and 5 'red-line' scenarios.
Key Points
- •AI outputs are probabilistic, requiring clear '验收点' (acceptance criteria) to ensure consistency.
- •A high-quality test set is the direct mapping of a PM's depth of business understanding.
- •PMs must translate vague business intuition into quantifiable rules for Agent processing.
- •Testing sets should cover typical, boundary, red-line, and historical bad-case scenarios.
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