Winning approaches to evaluation and incident prevention. In a previous blog post , we explored how AI Assistant in Adobe Experience Platform is monitored and improved via an end-to-end evaluation framework, including how we track, categorize, and learn from errors in real-world usage. This sequel expands on those ideas to address the challenges that arise when AI Assistant encounters much larger, more varied user traffic, as detailed in our research paper, Evaluation and Incident Prevention in an Enterprise AI Assistant .