An agent-native data model is a way of structuring data specifically for AI agents to use efficiently. It emphasizes relationships, context, and attributes that agents need to make autonomous decisions.

Why it matters: Structuring data in an agent-native way ensures agents have the right information at the right time, improving accuracy and reducing errors.