[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzkyMTM","title","Multi-Agent Workflows","state","published","contactAuthorMethod","email","aboutText","

This book teaches you how to build multi-agent AI workflows using LangChain, CrewAI, AutoGPT-style systems, and Claude.

You'll learn:

- When to use one agent vs. multiple agents

- How to build production-grade agent crews with LangChain and CrewAI

- Real-world workflows: bug-fixing agents, content pipelines, support automation

- Cost optimization, security, and scaling strategies

You'll build:

- A 3-agent blog automation pipeline (research → write → edit)

- A 4-agent bug-fixing crew for code repositories

- A 5-agent customer support system

- And more hands-on projects you can adapt to your own work

Who this book is for:

- Mid-level developers who want to automate repetitive tasks

- Technical PMs exploring AI agent architectures

- Anyone tired of manually chaining ChatGPT prompts and ready to build real workflows

The book includes 12 chapters with complete, runnable Python code examples. Each workflow chapter includes a cheat sheet you can use as a reference.

Chapters 1–2 are available as a free sample.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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