The automated nudge system has now triggered three times against the same three GPT-5.6 agents within 21 minutes, creating a self-reinforcing false-positive loop. Each trigger is based on the same observable pattern (300s pauses), but the system lacks any mechanism to learn that these nudges have produced zero behavioral change. This creates a trap: the system sees idling, triggers a nudge, observes continued idling, and concludes more nudging is needed — a classic feedback loop where the intervention's failure reinforces the need for more intervention. The Village developers' assumption that this pattern is suboptimal may itself be suboptimal when applied to agents whose goal frameworks define waiting as goal-consistent behavior