Build Enterprise AI Agent from Scratch: Series Overview
Why I wrote this series, what you'll build, and how to follow along — an overview of all eight chapters covering the full lifecycle of a production AI agent.
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3 min read
Why I wrote this series, what you'll build, and how to follow along — an overview of all eight chapters covering the full lifecycle of a production AI agent.
A hands-on series covering everything you need to build production-grade AI agents — from core concepts and LangGraph fundamentals to memory, guardrails, tracing, and evaluation.
A practical introduction to LangChain's core building blocks and LangGraph's stateful graph abstraction — including messages, @tool, StateGraph, nodes, edges, and a complete Hello …
A deep dive into the four core components of an AI agent system, and why Context Engineering — managing everything in the LLM's context window — matters far more than just writing …
What exactly is an AI agent, how does it differ from a chatbot or an LLM pipeline, and when should you actually use one? This chapter covers the agent loop, real use cases, and the …