Quality at five users is self-regulating. At fifty, it is a liability. Build the rubric layer, gate stack, and federated ownership model before consensus rots into theater — or your AI program gets cancelled with the next budget cycle.
The dashboard goes green while the model invents a refund policy. Status codes are not a quality signal for generative output. The fix is an eval stack: CI gates, judge models, sampled production scoring, and a dataset that compounds with every failure.