@HamelHusain: New session with @sh_reya on How to Automate Evals with AI (correctly) The most important part of the eval workflow is …
Summary
Hamel Husain and Shreya present a new session on correctly automating AI evaluations, covering common mistakes, iterative error analysis, and building a failure mode taxonomy. The session includes a live demo of a review interface and emphasizes the importance of finding unknown unknowns.
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Cached at: 07/06/26, 10:22 PM
New session with @sh_reya on How to Automate Evals with AI (correctly)
The most important part of the eval workflow is finding issues. Shreya does a live demo of how to steer the AI iteratively to find unknown unknowns
Chapter summaries:
00:00:00 Introduction 00:00:55 Why vendors want to automate evals for you 00:01:45 Why no tool can fully automate evals 00:06:00 Mistake #1: Asking AI to just “find the issues” in your data 00:08:11 What good AI-assisted error analysis actually looks like 00:11:12 Live demo: building a review interface from scratch 00:15:10 Annotating traces and building a failure mode taxonomy 00:19:31 Mistake #2: Only reviewing your data once 00:22:53 Mistake #3: Treating all apps with the same accuracy bar 00:25:10 General-purpose agents vs. dedicated eval tools 00:25:48 Summary: three rules for automating evals correctly
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