Modeling AI Agent Loops as State Machines for Clarity

This article explains how to model an LLM agent's think-act-observe cycle as a finite state machine (FSM) or hierarchical state machine (HSM). It argues that understanding these concepts prevents overcomplicated implementations often produced by vibe coding. The piece provides a practical framework for building explicit, controllable, and scalable agent loops.