An LLM loop drives the core logic of AI agents. LangChain distinguishes these autonomous systems from rigid workflows by emphasizing dynamic decision-making over fixed sequences. This conceptual guide helps developers move from simple prompts to production-ready agents. Practitioners can now better structure their logic to reduce hallucinations in autonomous tool use.