The Agentic AI Engineering series takes you from a blank Python file to production-grade, multi-agent AI systems, without ever skipping the part that actually matters. Across three volumes, you build three real, working projects, Scout, a hand-built autonomous agent that teaches you exactly how reasoning, memory, and tool use work before any framework hides it from you; Atlas, the same agent rebuilt with the professional LangChain, MCP, and LangGraph toolchain and deployed as a real web service; and Nexus, a fully unified system of coordinating agents that retrieves real documents, cites its sources, and genuinely remembers what it learns across sessions. There's no slideware here and no hand-waving ,every chapter ends with working code you actually ran yourself, every concept is built from first principles before any library is allowed to automate it, and every book closes with two capstone projects so you finish having built something real, not just read about it. Whether you're writing your first agent or architecting your tenth production system, this is the series that shows you what's actually happening underneath , and lets you build it yourself, one honest line of code at a time.
