Production-Ready AI Agents

Architecting Intelligence: Join the early-reader list
STOP BUILDING DEMOS. START BUILDING SYSTEMS.
The "Hello World" chatbot is easy. Production is hard. Real-world projects fail due to hallucinations, latency, and unscalable costs.
This book bridges the gap between a fragile prototype and a mission-critical system. It is a hands-on architectural guide to building a complete, autonomous "Codebase Analyst" agent.
The Three Pillars
You will learn how to architect for:
- Observability (The Glass Box): How to implement end-to-end tracing with LangSmith to debug complex agent reasoning.
- Reliability (Structured Output): How to validate structured output with Pydantic before downstream code uses it.
- Scalability (Serverless): How to containerize with Docker and deploy to Google Cloud Run for auto-scaling infrastructure.
The Companion Lab
The Codebase Analyst from the book is also a free, open-source lab: ten lessons, with a completed-code tag for every lesson. Build it alongside the chapters. Start the Foundations lab →
About the Author
I wrote this book because I was tired of seeing brilliant engineers fail at the "last mile".
As the founder of ActiveWizards, I’ve spent 10 years fixing the exact problems this book addresses: hallucinations in production, unmaintainable spaghetti code, and opaque agent reasoning. This is not just a book; it is the codified engineering standard I use with my advisory clients every day.
Need help implementing this architecture? Explore my Advisory Services →