AI regulation has moved beyond broad frameworks into the specific mechanics of how models are built and deployed. This tracker maps the policy landscape by development lifecycle stage, from compute thresholds and training data rules at the pre-training stage to transparency obligations and agent-specific requirements at deployment. Understanding which rules apply at which point in the stack is now a practical compliance question, not just a policy one.