July 2026
Intermediate
336 pages
9h 36m
English
Content preview from Build an AI Agent (From Scratch)
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10 Evaluating agents
This chapter covers
- Why agent evaluation must be automated
- Concrete procedures for automating evaluation
- How to put automated evaluation to work in practice
An agent goes beyond merely suggesting an answer. It decides for itself what information to seek, which tools to use, in what sequence to execute tasks, and when to stop. This autonomy is a powerful advantage, but a single small mistake can cascade into real-world costs and risks: payments, procurement, permission changes, and external communications. That is why rigorous evaluation is essential: to prevent agents from causing unexpected harm and to protect users from potentially significant losses.
Yet evaluating agents is truly difficult. Agent evaluation must ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.