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