The situation
Variable model outputs made conventional pass-or-fail testing insufficient. The product needed checks for meaning, format, integration behavior, and retained context.
What we did
Combined automated output checks, NLP analysis, manual bias review, and integration tests. Tested response storage and context retention alongside third-party model health.
What changed
Established a repeatable approach to finding output and integration defects, with feedback that informed model settings and product quality.