A monitoring rule needs a threshold, an observation window and an action someone can carry out. You will separate an input-shift alert from a mature-label performance alert, inspect operational rollback conditions and assemble a handoff that shows missing outcomes. Automatic retraining after every shift can repeat a data defect or absorb an unfinished label window. An alert should first identify the breached condition and its support. Operational failures such as errors and slow responses can require action before predictive labels arrive. These tasks use declared fictional limits to make the decision checkable; they don't claim those limits are universal production standards.