Your mental model for AI testing: evals, LLM judges, and test layering @ChromeDevs
Your mental model for AI testing: evals, LLM judges, and test layering  @ChromeDevs
Uploaded April 2026 | Updated September 2026, 2 weeks ago
How is testing an AI app different from standard web development? In this video, we break down the mental model for AI testing, covering rule-based evals, using LLMs as a judge, and the three distinct goals of AI testing: regression, optimization, and model selection. Once you've got the basics down, dive into the full article to learn how to layer your tests and build an automated testing pipeline, then share what you've learned and how you'll be using evals in your project!

Subscribe to Chrome for Developers → https://goo.gle/ChromeDevs

#ChromeForDevelopers #Chrome

Speaker: Maud Nalpas
Products Mentioned: Chrome, AI for the web,
Your mental model for AI testing: evals, LLM judges, and test layeringWhat is FedCM and how does it improve online privacy?Emulate device capabilities with Chrome DevTools for agentsBuilding a VR Assistant and llms.txt widgetWhack-a-Mole in your browser - Is it possible!?The Butterfly Effect: Dev EditionDesign your AI evalsExplain like I’m 5: WebMCP editionHow biometrics relate to passkeysWhat it actually takes to prep for a #GoogleIO session!How AI agents fix Lighthouse errors in Chrome DevToolsPixel Pirate #DevToolTips
Chrome for Developers |

Your mental model for AI testing: evals, LLM judges, and test layering

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER