What is closed-loop monitoring?

Closed-loop monitoring is a concept in personal epistemology: Monitoring completes the feedback loop — observation enables adjustment enables improvement.

Example: You built a morning routine agent six months ago. It worked well for the first two months — you tracked reliability, effectiveness, and time-to-fire. Then you stopped monitoring. Three months later, you notice the routine has degraded: you skip the hardest step most days, the sequence has drifted, and two components no longer serve their original purpose. The agent still runs, but it runs open-loop — executing without observation, persisting without evaluation. When you reinstate monitoring, the data reveals exactly where the drift occurred and what needs adjusting. In two weeks the agent is performing better than it ever did, not because you redesigned it, but because you closed the loop again. Monitoring did not just detect the problem. It was the mechanism by which improvement became possible.

This concept is part of Phase 28 (Agent Monitoring) in the How to Think curriculum, which builds the epistemic infrastructure for agent monitoring.