Books

Master language models through mathematics, illustrations, and code―and build your own from scratch!

It's never been easier to build an AI agent — and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems with the depth to predict failure before it happens, engineer graceful degradation over catastrophic failure, and take absolute architectural ownership. Get the paperback from amazon.

Pull a model onto a machine you own, shape it with a Modelfile, fine-tune your own adapter, and build a chat app that calls tools and talks to an MCP server, all running on your own hardware. By the end, you'll know exactly where owning your AI beats renting it, and where it doesn't.

#1 Best Seller in Management Science (Amazon International, France, Germany, Netherlands, Poland, Sweden – Feb 2026) and in other categories. Available worldwide on Amazon (Hardcover, Paperback, Kindle) and across all major digital platforms, including Leanpub, Apple Books, and Google Play. Learn how to drive your organizational performance with people and AI to 10X and beyond — in impact and relevance.

Learn how large language models work by building one from scratch. This hands-on guide walks you from first principles to a working Transformer you understand inside out.

You've set up your agent and taught it your name. With this book you teach it your patterns, your triggers, and the version of yourself you're working towards. 24 chapters. All prompts, no code.

STOP building fragile AI wrappers. START designing resilient AI systems. Lots of companies are trying to make their small AI experiments into big products, but they don't have a good plan. Engineers need a practical guide to build these new AI systems the right way - so they can handle scale, be reliable, and won't cost too much. This book is that guide. It explains how to design systems that use AI models. This book breaks down the architecture of real AI applications, like an AI-powered code editor or a smart learning app. It gives you a deep, practical look at the real-world challenges and solutions for building these systems. It discusses system design concepts for systems that use LLMs.

One book rarely changes your life. A system of books can.Learn how to build a portfolio of small nonfiction titles that create leverage, audience growth, and long-term income.

When AI rewrites the rules of value, one man discovers the 23 ancient laws of survival that no machine can replace.

Discover how to transition into project management with "Transitioning to Project Management: Unlocking Your Potential with Transferable Skills and Practical Strategies." Learn to leverage everyday experiences for career success, navigate key dilemmas, and master stakeholder management.

You don't have to be a programmer to learn from this book. This book asks nothing of you but your willingness to tell Claude what and how you think. I've written this for the professional who's been thinking, maybe quietly, that their real value wasn't in the busywork. You can automate anything that's between you and them.

AIエージェントの構築が、これほど容易だった時代はない。そして、実際に機能するものを作ることが、これほど難しい時代もない。本書は言語モデルの基礎から本番対応マルチエージェントシステムまで、失敗が起こる前に予測し、壊滅的な障害ではなく優雅な劣化を設計し、完全なアーキテクチャの所有権を確立するための深さをもって、あなたを導く。ペーパーバック版はamazonにて好評発売中。

Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.

Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.

AI is already your co-pilot. The question is whether you know how to fly with it. Flight Deck Medicine applies the proven safety frameworks of aviation — verification, trust calibration, situational awareness, confident override — to the daily realities of AI-augmented clinical practice. Through real case studies, integrated workbook exercises, and a structured five-phase curriculum, Dr. Rubin Pillay gives clinicians the cognitive tools to work safely, effectively, and defensibly alongside clinical AI. From reading a confidence score to executing an IDAR override to auditing an algorithm for racial bias, this is the definitive practical guide to being the pilot in command of modern medicine.