An AI agent's architecture can be understood through five distinct layers: Prompt, Context, Loop, Graph, and Harness. This framework helps developers diagnose and fix issues by identifying which layer is responsible for a malfunction. Prompt engineering focuses on the wording of instructions, while context engineering deals with the selection and management of information presented to the model. The Loop layer governs the agent's execution timing, the Graph layer manages how different work units connect, and the Harness layer ensures the runtime environment and operational guarantees. AI
IMPACT Provides a structured way to debug and build more robust AI agents by differentiating between prompt, context, and execution layers.
RANK_REASON The item provides an analytical framework for understanding AI agent architecture, rather than announcing a new product or research finding.
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