Building Agentic AI

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Volume I · For software people new to AI

Understanding Agentic AI Systems

From GenAI to Agentic AI, Explained Simply (A Beginner's Guide)

For software people new to AI. Assumes you can read code, no AI background required.

Pre-book · Free for the first 50 readers

About the book

Understanding Agentic AI Systems

From GenAI to Agentic AI, Explained Simply (A Beginner's Guide)

A plain-language introduction to agentic AI for software people who are new to AI. It teaches one idea per chapter, in clear language with a real example, building a single project (an internal IT helpdesk assistant) from a plain chatbot into a real, fenced, tested agent. By the end the reader has an accurate working mental model of the whole field, not a memorized snapshot of current tools.

What you will learn

7 things you walk away with

  1. How AI evolved through four eras, and how agentic AI differs from generative AI.

  2. What a language model actually is, next-word prediction, and why it both works and hallucinates.

  3. The three building blocks: prompting, RAG, and structured output and tool calling.

  4. What makes something an agent: the think, act, observe loop.

  5. Memory, MCP, agentic coding, and when multi-agent systems help versus just cost more.

  6. How to make agents safe (guardrails, human-in-the-loop) and how to evaluate them.

  7. A hands-on capstone: building a tiny working agent yourself.

Table of contents

4 parts · 14 chapters

Part One: How We Got Here
  1. 01 From AI to Agentic AI
  2. 02 What a Language Model Actually Is
  3. 03 GenAI vs Agentic AI: The Core Difference
Part Two: The Building Blocks
  1. 04 Prompting: Talking to the Model Well
  2. 05 RAG: Giving the Model Knowledge It Never Learned
  3. 06 Structured Output and Tool Calling
Part Three: The Leap to Agentic
  1. 07 What Makes Something an Agent
  2. 08 Tools, Memory, and Staying on Track
  3. 09 Agentic Coding: The Agent That Writes Software
  4. 10 Multi-Agent Systems, and an Honest Caveat
Part Four: Making It Real
  1. 11 When Agents Go Wrong
  2. 12 How Do You Know It Is Working
  3. 13 Capstone: Build a Tiny Agent Yourself
  4. 14 Closing: Where to Go Next

After Volume I

Designing Enterprise Agentic AI Systems

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Volume II · Practice

The natural prerequisite if the foundations need shoring up.

An Architect's Field Guide for Engineers

Read about Volume II

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