Hamel Husain on decision models for evals: don't trust the 0.5 threshold default
HamelHusain · x · 2026-10-21
Hamel Husain and Antaripa Saha published a long-form post on using decision models (TypeSafe's Jev, Perplexity's Decider, Liquid's d1, Cloudflare's Clef) for evals, with interactive charts. Key points:
- Don't assume the 0.5 default threshold is good — tune it to your task and learn to interpret the scores.
- Practitioner Ganesh Iyer shares real-world feedback: in a family AI assistant product he runs Jev at a 0.8 threshold, choosing recall over precision because a false alarm costs a minute of latency while a missed mistake costs a parent's trust.
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