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Agentic AI Engineering: Systems That Reason and Act Autonomously – Designing, Building, and Prompting LLM-Based Agents for Real-World Deployment
As large language models continue to reshape software development and business operations, a new class of intelligent systems has agentic AI. These systems reason across multiple steps, interact with tools, maintain memory, and pursue goals over time, requiring a new engineering discipline. Written for active practitioners, author Hyun Erwin presents a comprehensive resource starting at the very fundamentals of autonomy and progressing to designing and building agents that can be deployed in real environments.
Across 45 modules organized into eight major chapters, the book begins with the conceptual foundations of agentic AI. Readers learn how autonomous systems differ from traditional automation and how reasoning loops operate. The discussion then progresses to how core components such as tools and control logic combine to form functioning agents. From there, the book advances into the practical engineering of agents, including system topology and the construction of full agent frameworks from scratch.
A section of this book focuses on prompt engineering for agents, explaining how prompts shape identity and behavior inside autonomous systems. Readers learn how prompts operate as internal control surfaces that influence planning, execution, and self-evaluation across extended reasoning loops.
Table of Chapter I – FoundationsChapter II – Pre-Built AgentsChapter III – Building Agents from ScratchChapter IV – Prompt Engineering for AgentsChapter V – Safety, Governance, and RiskChapter VI – Deployment and OperationsChapter VII – Real-World Use CasesChapter VIII – The Future of Agentic AI
Whether you are learning the foundations of agentic AI or building autonomous systems in professional environments, this book provides a structured and practical guide to designing AI agents that operate reliably across real-world workflows.
Scroll up and click Buy Now to start reading.
Across 45 modules organized into eight major chapters, the book begins with the conceptual foundations of agentic AI. Readers learn how autonomous systems differ from traditional automation and how reasoning loops operate. The discussion then progresses to how core components such as tools and control logic combine to form functioning agents. From there, the book advances into the practical engineering of agents, including system topology and the construction of full agent frameworks from scratch.
A section of this book focuses on prompt engineering for agents, explaining how prompts shape identity and behavior inside autonomous systems. Readers learn how prompts operate as internal control surfaces that influence planning, execution, and self-evaluation across extended reasoning loops.
Table of Chapter I – FoundationsChapter II – Pre-Built AgentsChapter III – Building Agents from ScratchChapter IV – Prompt Engineering for AgentsChapter V – Safety, Governance, and RiskChapter VI – Deployment and OperationsChapter VII – Real-World Use CasesChapter VIII – The Future of Agentic AI
Whether you are learning the foundations of agentic AI or building autonomous systems in professional environments, this book provides a structured and practical guide to designing AI agents that operate reliably across real-world workflows.
Scroll up and click Buy Now to start reading.
393 pages, Kindle Edition
Published March 15, 2026
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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 of 1 review