An LLM loop drives AI agents by allowing models to reason and act iteratively. LangChain distinguishes these autonomous systems from static workflows to help developers build more reliable production software. This guide clarifies the technical boundary between agentic behavior and predefined sequences. Practitioners can now better structure their logic for complex, multi-step task automation.