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Understand, build, and supervise LLM agent networks to transition from appealing prototypes to reliable production systems.

This book guides you through a major paradigm shift: the historical transition from mere computation to autonomous action. From 1980s expert systems to Transformer architectures, from semantic embeddings to multi-agent networks orchestrated under Kubernetes, every concept is rigorously dissected and put into practice using Python.

You will learn to step-by-step build your own Python agents: grammar-constrained JSON outputs, tool invocation, RAG, LoRA fine-tuning, graph-based orchestration, shared state, and human-in-the-loop patterns. Architectural trade-offs will become tangible: model routing, quantization, MCP, Kubernetes, monitoring, and workflow management. You will master key production requirements: evaluating agents on real business use cases, controlling costs, securing identities and permissions, preventing prompt injection, and logging every action.

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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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