@omarsar0: Learn to build evals, folks. Highly recommended reading on using decision models for evals. From our internal evals, Sy…

X AI KOLs Timeline News

Summary

Omar Santos recommends resources on using decision models (like System One model Jev) for LLM-as-a-judge evaluations, building on Hamel Husain's blog post about choosing and tuning decision models for evals.

Learn to build evals, folks. Highly recommended reading on using decision models for evals. From our internal evals, System One models like Jev are a great fit for LLM Judges. If you want to go beyond Hamel's great write-up, I've also put together a few resources on applying decision models to LLM judges. (bookmark it) 1) Jev-as-a-Judge for Agent Evaluations - https://academy.dair.ai/dashboard/resources/jev-as-a-judge… 2) Jev-as-a-Judge: Evaluating Agents with a Decision Model - https://academy.dair.ai/labs/jev-as-a-judge-for-agent-evals… Bonus paper I would recommend, with a few other ideas that combine System One and System Two models: Jev-as-a-Judge paper - https://arxiv.org/abs/2609.26550
Original Article
View Cached Full Text

Cached at: 10/21/26, 04:35 PM

Learn to build evals, folks.

Highly recommended reading on using decision models for evals.

From our internal evals, System One models like Jev are a great fit for LLM Judges.

If you want to go beyond Hamel’s great write-up, I’ve also put together a few resources on applying decision models to LLM judges.

(bookmark it)

  1. Jev-as-a-Judge for Agent Evaluations - https://academy.dair.ai/dashboard/resources/jev-as-a-judge…

  2. Jev-as-a-Judge: Evaluating Agents with a Decision Model - https://academy.dair.ai/labs/jev-as-a-judge-for-agent-evals…

Bonus paper I would recommend, with a few other ideas that combine System One and System Two models: Jev-as-a-Judge paper - https://arxiv.org/abs/2609.26550

Hamel Husain (@HamelHusain): New blog post 🎉: How To Use Decision Models For Evals

In this post, we show you how to choose a decision model for your task, tune its threshold (don’t assume the 0.5 default is good!), and interpret its scores.

Lots of cool interactive charts here.

Similar Articles

@omarsar0: https://x.com/omarsar0/status/2107472222398886011

X AI KOLs Timeline

Omar Santos presents a guide on using Jev, TypeSafe AI's decision model, as an LLM judge for agent evaluations, showing how reading full trajectories (tool calls, results, errors) rather than just final replies increases reliability and consistency for production-grade evaluation and monitoring systems.

Decision models like Jev don't beat LLM-as-a-judge or traditional classifiers

Hacker News Top

A Red Hat Developer article benchmarks TypeSafe AI's Jev "System One" decision models against LLM-as-a-judge guardrails and traditional zero-shot text classifiers, concluding that decision models don't clearly outperform the established alternatives despite their schema-safe, low-latency, zero-shot benefits.