{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b6c52df30ce3419fb661e9b59c820896\" frameborder=\"0\" width=\"1350\" height=\"1012\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1012,"width":1350,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1012,"thumbnail_width":1350,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b6c52df30ce3419fb661e9b59c820896-de07350e98f10a16.gif","duration":255.762,"title":"Building Consistent AI-Powered Conversations in Healthcare 🤖","description":"In this video, I discuss a phase of my project focused on building AI-powered conversations that are testable, repeatable, and production-ready. I specifically address the challenge of ensuring consistent AI behavior, particularly in sensitive areas like healthcare training. I demonstrate how I defined a patient scenario, created structured test cases, and ran evaluations to assess AI responses. The results showed that 8 out of 10 test cases passed, with a scoring system to flag any responses needing human review. I encourage viewers to consider the importance of rigorous testing in AI implementations."}