You’ll begin by learning what agentic AI is, why augmented LLMs and tool use matter, and what makes these systems difficult in practice. From there, it moves step-by-step from the simplest useful unit—a single agent—to increasingly capable systems such as multi-agent crews, MCP-exposed agents, multimodal crews, complex flows, chatbot interfaces, extensible systems, and human-in-the-loop workflows.
We think Max Gfeller's perspective is a real highlight: He approaches the subject like a builder, emphasizing architecture, workflow design, and practical integration rather than hype. Unlike the fragmented picture you get from focused tutorials or short videos, you’ll finish this book with a coherent end-to-end mental model, a clear understanding of the benefits and tradeoffs, the ability to connect new concepts to your existing knowledge, and a lasting reference you can use as you move from experimentation to production! [Read more]
