What problem does it solve? Teams discussing enterprise AI governance lack a shared, authoritative reference for the CARE framework's concepts, making conversations about trust boundaries, accountability, and human-AI collaboration inconsistent and ungrounded. ## Core Features & Use Cases - Framework Reference: Distills the CARE (Collaborative Autonomous Reflective Enterprise) thesis, including the Dual Plane Model, Mirror Thesis, and Human-on-the-Loop governance pattern. - Competency & Principle Catalog: Documents six human competency categories and eight CARE principles for designing AI governance policies. - Framework Mapping: Explains how CARE relates to EATP (trust chain protocol), COC (AI code generation), and the Kailash reference implementation. - Use Case: When drafting an AI governance policy, load this reference to ground decisions about which decisions stay human (Trust Plane) versus which tasks AI executes (Execution Plane). ## Quick Start Explain the CARE Dual Plane Model and how it applies to delegating AI tasks in our organization.