Production AI Agents
Build, Deploy, and Monetize Autonomous Systems
Kindle eBook | 70% royalty to author | Also available in paperback
Most AI agent tutorials stop at "hello world." This book starts where they end. Covers architecture, memory, MCP, multi-agent systems, deployment, security, and the business models that actually make money.
What's Inside
Why This Book
Production-Tested
Written by an engineer who has built and operated production agent systems. Not theory. Real patterns that work.
Real Code
Complete examples in Python and TypeScript. A full MCP server template. A hands-on tutorial building a research agent from scratch.
Current (2026)
Covers Claude Opus 4.6, GPT-5.4, Gemini 3.1, MCP standard, Google ADK, Vercel AI SDK, and the latest frameworks.
The Determinism Ladder
Our original framework for making agents reliable. Push critical behaviors up the ladder: Hook > Rule > Skill > Prompt.
Business Models
The $4.2B agent economy is real. 5 business models, pricing strategies, and distribution channels for agent builders.
Security First
Prompt injection defense, tool security, the blast radius framework. Don't ship an agent without reading this chapter.
Free Articles from the Book
- Why 2026 Is the Year of Production AI Agents
- The 4 Components Every AI Agent Needs
- How to Give Your AI Agent a Memory That Actually Works
- MCP: The Universal Standard for AI Agent Tools
- The Determinism Ladder: Why Your AI Agent Keeps Failing
- Choosing the Right AI Agent Framework in 2026
- Build a Production AI Research Agent in 30 Minutes
- The $4.2 Billion Agent Economy: Business Models That Work
- AI Agent Security: The Threat Model Nobody Talks About
Each article covers one chapter in condensed form. For the full guide with complete code, get the book.