AI agents are showing up everywhere—and most of them are being built by trial and error. This guide distills the experience of a growing community of agent builders into 20+ composable, reusable patterns for building AI agents that are reliable, efficient, controllable, and easy to reason about. In this uniquely-valuable book, author and NVIDIA Research scientist Peter Belcak gives you a durable engineering vocabulary and design intuition that outlasts any new model release. [Read more]

5 chapters of this MEAP are available now, with more to follow soon!

Deliver the architecture, updating, adapting, and rebuilding your existing systems so that autonomous AI agents can operate safely, responsibly, and at production scale. This book introduces authors Anjali Jain and Philip O'Shaughnessy’s Agentic Enterprise Framework: a domain-agnostic toolkit of patterns, playbooks, and reference models that you can apply to make almost any architecture ready for autonomous agents. [Read more]

4 chapters of this new MEAP are available now, with more to follow soon!