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The Claude suite of LLM-powered tools and agents from Anthropic has radiacally–and permanently–changed the way technical professionals design and create software. This book teaches you how to seamlessly step into your new role as AI agent manager, turning Claude’s tools and models into a full DevOps team and ensuring you stay in full control of the process. [Read more]

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

Close the gap between what you mean and what your agents actually build. In this practical, tool-agnostic playbook, author Hari Krishnan shows you how to make your intent clear through structured specifications and then make those specs the primary control surface for your projects, rather than the code itself. [Read more]

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

When ChatGPT proved that Reinforcement Learning from Human Feedback (RLHF) could make AI production-ready, the technique transformed the field overnight. Post-training expert Nathan Lambert offers an insider's guide to building AI that is safer, smarter, and aligned with human values. Drawing on his real-world experience building models like Olmo, Lambert shares hard-won insights on preventing over-optimization, crafting model character, and performing rigorous model evaluation. [Read more]

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]

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

Traditional algorithm textbooks rely on encyclopedic depth, mathematical rigor, and pseudocode. This book takes a human approach, placing you in a reading group where three individuals discuss, question, and reason through key computer science algorithms. Each chapter builds intuition through relatable analogies and discussion before applying the algorithm to practical systems like routing, scheduling, string search, caching, and optimization. [Read more]

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