The AI to Learn 2.0 framework targets "proxy failure," where polished AI outputs mask a user's actual lack of understanding. This research proposes a deliverable-oriented rubric to distinguish between the final artifact and the human's underlying capability. It provides a five-part packaging system for educators to certify genuine learning in AI-assisted environments.