Hamel Husain's new guide: choosing decision models for evals and tuning thresholds
HamelHusain · x · 2026-10-21
AI engineering consultant Hamel Husain, co-authoring with Antaripa Saha, published a new blog post: "How To Use Decision Models For Evals."
- It surveys the recent explosion of decision models: TypeSafe's Jev, Perplexity's Decider, Liquid's d1, Cloudflare's Clef, and OpenAI's offering.
- Three practical core points: how to pick a decision model for your task; how to tune its threshold — the authors stress don't assume the 0.5 default is good; and how to interpret its scores.
- The post includes lots of interactive charts. A quoted comment frames it as an extension of skills data scientists and ML engineers already have.
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