Semi-Automated Evaluation

Semi-automated evaluation is a practical middle ground between the speed of automation and the judgment of human review. For example, an automated system might flag responses that score below a threshold, with a human then reviewing only those borderline cases. Or a model might generate structured scores, with a human checking a random sample to validate that the automated scores are trustworthy. This approach lets teams scale their evaluation without losing the signal that human judgment provides in ambiguous situations. For behavior architects, semi-automated evaluation is often the realistic answer to “how do we evaluate quality at scale” — full human review doesn’t scale, and full automation misses too much.