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Agentic AI Engineering: Systems That Reason and Act Autonomously – Designing, Building, and Prompting LLM-Based Agents for Real-World Deployment
Build the AI agents that companies are betting their future onFrom the AI Engineering series,
with 10,000+ copies sold
Agentic AI has quickly become the new class of intelligent software. Every company wants agents, but very few teams can build ones that hold up outside a notebook.
And the problems are always the agents that loop endlessly, tools that fail silently, multi-agent setups nobody can debug, and no reliable way to tell whether a change made things better or worse.
So engineers keep
• How do I design an agent that reasons reliably across many steps?
• How do I write system prompts and tools the model actually uses correctly?
• How do I test and safely deploy something non-deterministic?
Agentic AI Engineering answers these questions with proven systems and working code.
AI engineer Hyun Erwin takes you through 43 modules across seven chapters, from the fundamentals of autonomy to agents running in production. Along the way, you build two complete
A single-agent personal assistant that reads your files, searches the web, and drafts documentsA multi-agent coding system built on an Orchestrator → Worker → Verifier architecture, with parallel subtasks and human approval for risky commands
Here's a preview of what you’ll
• What separates true agentic AI from automation
• The reasoning loop and core components behind every agent
• How to design system prompts and tools that make agents reliable instead of unpredictable
• How to architect multi-agent systems that divide work and verify each other’s output
• Evaluation and testing methods that show whether your agent is improving or quietly breaking
• Deployment practices that keep agents running reliably in real-world workflows
• And much more!
What’s
• Full Python code for every build
• Ready-to-use prompts and a free Vibe-Coding Agents prompt pack
• Clear visualizations, full bibliography and index
Who this book is
Developers, software engineers, and AI enthusiasts with basic coding knowledge. The material is presented at an intermediate level.
Scroll up, click “Buy Now,” grab a coffee, and start building your first agent today.
Agentic AI has quickly become the new class of intelligent software. Every company wants agents, but very few teams can build ones that hold up outside a notebook.
And the problems are always the agents that loop endlessly, tools that fail silently, multi-agent setups nobody can debug, and no reliable way to tell whether a change made things better or worse.
So engineers keep
• How do I design an agent that reasons reliably across many steps?
• How do I write system prompts and tools the model actually uses correctly?
• How do I test and safely deploy something non-deterministic?
Agentic AI Engineering answers these questions with proven systems and working code.
AI engineer Hyun Erwin takes you through 43 modules across seven chapters, from the fundamentals of autonomy to agents running in production. Along the way, you build two complete
A single-agent personal assistant that reads your files, searches the web, and drafts documentsA multi-agent coding system built on an Orchestrator → Worker → Verifier architecture, with parallel subtasks and human approval for risky commands
Here's a preview of what you’ll
• What separates true agentic AI from automation
• The reasoning loop and core components behind every agent
• How to design system prompts and tools that make agents reliable instead of unpredictable
• How to architect multi-agent systems that divide work and verify each other’s output
• Evaluation and testing methods that show whether your agent is improving or quietly breaking
• Deployment practices that keep agents running reliably in real-world workflows
• And much more!
What’s
• Full Python code for every build
• Ready-to-use prompts and a free Vibe-Coding Agents prompt pack
• Clear visualizations, full bibliography and index
Who this book is
Developers, software engineers, and AI enthusiasts with basic coding knowledge. The material is presented at an intermediate level.
Scroll up, click “Buy Now,” grab a coffee, and start building your first agent today.
335 pages, Kindle Edition
Published March 15, 2026
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Displaying 1 - 1 of 1 review
May 15, 2026
Maybe it was the Kindle edition but the content could have used another round of editing as there were missing words or weird syntax throughout. While some of the analysis and conclusion were common sense, the author gave a good overview of agentic AI including how to build it, how to integrate it within organizations and set boundaries, and the implications for work and society.
Displaying 1 - 1 of 1 review