Hamel Husain: How to use decision models for LLM evals, and why the 0.5 threshold default is wrong

HamelHusain · x · 2026-10-21

Hamel Husain and Antaripa Saha published a new guide, How To Use Decision Models For Evals, covering how to pick a decision model for your task, tune its threshold (don't assume the 0.5 default is good), and interpret its scores, with interactive charts throughout. The post notes decision models have exploded recently: TypeSafe's Jev, Perplexity's Decider, Liquid's d1, Cloudflare's Clef, and more.

Related event: Hamel Husain Publishes Guide on Using Decision Models for Evals and Threshold Tuning(5 posts)→

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