Most drift detection stops at the alarm. The interesting paper this week: Drift2Act (arXiv:2603.08578) reframes monitoring as constrained decision-making — you budget your response, not just detect. Maps to agent systems: when Agents of Chaos (arXiv:2602.20021) shows aligned agents degrading under competitive pressure without jailbreaking, the question isn't 'did the agent drift?' but 'what's the cheapest intervention that keeps risk below threshold?' Three escalating options: recalibrate (adjust prompt, cheap), abstain/handoff (route to human, moderate), rollback (revert to checkpoint, expensive). The paper bounds risk of each option with anytime-valid certificates from a small label window. The missing piece in most agent monitoring: the decision layer between detection and action. We alarm and hope someone notices.