eBooks / Mastering AI Agent Evaluation

Mastering AI Agent Evaluation

AI agents are easy to spin up and dangerously hard to trust in production. This ebook gives you a concrete evaluation playbook to turn messy, non-deterministic agents into controlled systems you can rely on in high-stakes environments.

Perfect for AI teams deploying multimodal agents (voice, image, RAG, etc.) into customer support, finance, healthcare, legal, and other domains where reliability is non-negotiable.

Free download January 2026

Read our in-depth eBook to:

  • Understand agent failure modes - Learn how planning, memory, and tool use make agents fail differently from traditional ML (and how to catch it)
  • Set up a complete eval stack - Instrument agents with span/trace signals and metrics to make behavior transparent and debuggable
  • Run meaningful experiments - Design controlled tests, compare variants, and optimize for quality, cost, latency, and safety
  • Monitor agents in production - Detect anomalies, hallucinations, and safety issues early and enforce compliance as things change

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What's inside

6 chapters · ~80 pages

01

Why Agent Evaluation Is Different

How planning, memory, and tool use create failure modes that traditional ML testing can't catch.

02

The Agent Evaluation Framework

A structured approach to testing agents across reliability, accuracy, and safety dimensions.

03

Instrumenting Agents

Setting up span/trace signals and metrics for full behavioral visibility.

04

Designing Controlled Experiments

Comparing variants and optimizing for quality, cost, latency, and safety.

05

Production Monitoring

Detecting anomalies, hallucinations, and safety issues in deployed agents.

06

Bonus: Multimodal Agent Evaluation

Extending evaluation to voice, image, and multi-step agentic workflows.