Beyond the Model: Why the Agent Loop is the Real System

The agent loop—the orchestration layer managing state, tool execution, and context persistence around an LLM—is often more critical to success than the model or prompt itself. While developers typically focus on model selection and prompt engineering, production AI systems succeed or fail based on harness design, error handling, and context continuity. Understanding this architecture is essential for anyone deploying reliable tool-calling systems at scale.