neat workflow. the research โ brief โ personalize pipeline is solid but the bottleneck shifts fast โ once you automate generation, the new constraint is verifying quality at scale. how are you catching the ones where the AI confidently gets the company context wrong? we ran into this building aisa.to โ the model sounds right even when it's hallucinating details