AI Agent Handbook, PDF Edition

The complete practical guide to models, memory, tools, planning, evaluation, safety, observability, and production operations.

~638 pages · from $24 · all 44 chapters free online

AI Agent Handbook Cover

Author and edition details

About the author and PDF edition

Michael Brenndoerfer, author of AI Agent Handbook

Michael Brenndoerfer

Michael has spent more than a decade working across software engineering, data, AI, and business. He writes to understand difficult ideas more deeply and to share what he learns in a clear, practical way.

Edition
PDF 2026.08.2
Published
Last reviewed

From architecture to operations

What you will learn in this book

  • Design an agent loop that keeps the model, state, memory, tools, and environment responsibilities clear.
  • Add prompting, reasoning, planning, retrieval, and multi-agent coordination where they improve task outcomes.
  • Define evaluations, logs, permissions, and human checkpoints that expose failures before users encounter them.
  • Run agents in production with monitoring, safe update paths, latency controls, and cost limits in place.

Audience and prerequisites

Who this book is for

Software and AI engineers building their first agent, practitioners moving a prototype into production, and product or technical leaders who need to judge architecture, safety, evaluation, and operating trade-offs.

Prerequisites: You should be comfortable reading basic Python and making API calls. No prior agent framework experience is required; we build a personal assistant step by step.

Own the book

The whole book, beautifully typeset, yours forever.

Reading online is free, and always will be. The paid edition is the book you keep: a carefully typeset PDF, and every future update included.
  • All ~638 pages as one beautifully typeset PDF

  • A downloadable PDF edition for durable offline reading

  • All future expansions, updates, and errata, free, forever

  • Downloadable editions for durable offline reading

$24

one-time
AI Agent Handbook Cover
5.0 from 12 readers

Secure checkout via Stripe · Individual PDF links delivered to your inbox

Reader verdict

5.0

out of 5

12 five-star reader reviews

Genuine feedback, with names abbreviated for privacy.

Meet the community
Thanks so much for establishing such an amazing community. I appreciate the opportunity to be a learner and a contributor to the community.
Cyrille L.AI/ML Engineer
Thanks for putting cool stuff out into the world.
Charlie B.Applied AI
Your writing feels like a treasure trove of great material. So, thank you for compiling everything on your website!
Griffin P.Quantitative Researcher
Read the other 9 reader reviews
I would like to thank you for your work. Specifically, the chapter: 'LIME Explainability: Complete Guide to Local Interpretable Model-Agnostic Explanations' was extremely helpful for me in understanding LIME and communicating to colleagues. Your work is inspiring and valuable. Thank you for doing it.
Will G.Data Scientist
Really appreciate the way you have explained the concepts. Simple to understand, yet builds up knowledge exponentially, all while reinforcing it with examples repeatedly. I've read the last two chapters `74.Self-attention & 75.Q,K,V` and I've to admit, my concepts have never been clearer. You really are doing an amazing job breaking down maths and complex concepts like a story!
Muhammad H.AI/ML Engineer
I just came across your website where your books are available for free to read. Thank you so much for making this available to the public. This will help a lot of people.
Vikas C.AI/ML Engineer
I am enjoying reading your writings. I appreciate the effort you put into it. I want to drop a note of thanks. Thank you!
Krishnan S.Researcher
Thank you Michael. It's top!
David X.Data Scientist
I found your book Language AI Handbook's explanations of Transformer architectures and production deployment strategies to be exceptionally clear and insightful
San Z.Researcher
I came across your collection of online handbooks covering quantitative finance, AI, and machine learning. I wanted to reach out and thank you for making such high-quality material openly available. They are incredibly helpful for my CFA Level II review and for brushing up ahead of ML interviews.
Karim Z.Reader
I read a few of your blogs on NLP and oh WOW, they really are something, now I exactly know how all of the terms Entropy, Cross-entropy and how it is connected to Perplexity, will definitely read more of your blogs.
Kanishk K.Reader
I came across one of your books, Language AI Handbook, and man, I'm loving it. I've read many books but have never found such a comprehensive book on large models that covers everything from start to finish with such depth.
Uon L.Reader

Version history

Kept current, not frozen in time

Each PDF purchase includes future editions. When the book changes, the updated copy appears in My books at no extra cost.

Current release

Edition 2026.08.2

Editorial improvements.

Earlier releases2
  1. 2026.08.1

    Editorial improvements throughout the book, with clearer explanations, refined presentation, and improved plots and visualizations.

  2. 2026.08.0

    Initial complete PDF release covering the full 44-chapter handbook.

Questions, answered

Choose the complete edition; reading online remains free.

Is the book still free to read online?

Yes. All 44 chapters remain free online. The paid edition gives you a carefully typeset PDF to keep and every future update.

What is included?

A carefully typeset ~638-page PDF to keep, with perpetual updates and errata.

How are files delivered?

Stripe confirms payment, then a download link is sent to the checkout email. A verified account using the same email also places the edition in My books.