Hamel Husain: Labels Should Teach Your Agent What to Surface Next
hugobowne · x · 2026-09-04
In Hugo Browne's thread distilling Hamel Husain's advice on AI evals (point 9), labels should teach the agent what to surface next: the system can find higher-value examples, so you annotate faster and learn more about failure modes. It reiterates point 8 — set evals aside, inspect 10 traces first, and the nasty failures you uncover will tell you what your evals should measure.
Related event: Hamel Husain: Don't Build AI Products If You Won't Inspect Your Own Data(12 posts)→
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