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AI agents are no longer simple prompt-and-response wrappers around language models. Production-grade agents plan, use tools, collaborate with other agents, remember past interactions, recover from failures and handle human oversight. None of this can be expressed cleanly as a linear pipeline. This book teaches you to model agent systems as computational graphs, directed structures of nodes and edges that encode state, control flow, parallelism and recovery. Through detailed explanations, complete code examples and real-world architectures, you will learn to design, implement, debug, scale and secure graph-based AI agents using modern frameworks like LangGraph. By the end, you will have the knowledge to build agent systems that are reliable under failure, observable in production and capable of the complex behaviors that define next-generation AI applications.

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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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