AAFL - Agent Augmented Framework for Learning

AAFL (Agent-Augmented Framework for Learning) is an instructional systems design framework for the agent era — where AI agents author first drafts and humans serve as Human-in-the-Loop (HITL) judgment-holders, anchored in workplace performance as the organizing outcome.The framework keeps ADDIE's five-phase spine and adds:Eight HITL decision gates (four pedagogical, four production) where human judgment is irreducibleThree cross-cutting layers — Governance, Evaluation-as-Spec, OrchestrationThe T