How to Build an AI Agent: Step-by-Step with Python

This article explains that true AI agents require three architectural components working together: a reasoning loop that plans and revises actions, tool access to interact with real-world data and systems, and explicit state management to track execution progress. The piece distinguishes agents from simple chatbots by emphasizing that a real agent is not just an LLM call, then demonstrates these concepts through a minimal Python implementation showing how agents gather information iteratively before producing final answers.