A thermostat that simply logs the temperature has feedback in the loosest sense, but it is not yet intelligent in any interesting way, because logging does not change what the system does next. Feedback becomes intelligence specifically at the point correction actually alters the subsequent move — the thermostat adjusting its own trigger threshold based on how well the previous adjustment performed, rather than repeating the identical response indefinitely regardless of outcome. This distinction, easy to state, is regularly ignored in systems that mistake data collection itself for adaptive capacity. RepairFeedback names the specific loop where correction functions as genuine repair rather than mere adjustment: a system that not only changes its next move but changes it in a way that measurably fixes whatever the previous move got wrong, closing the loop between error and correction rather than leaving them as separate, unconnected events.
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