{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/94eb15a8eb6e4ec2811b74e82545bfe0\" frameborder=\"0\" width=\"1314\" height=\"985\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":985,"width":1314,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":985,"thumbnail_width":1314,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/94eb15a8eb6e4ec2811b74e82545bfe0-00001.gif","duration":371.864312301,"title":"Introduction to Tidepool","description":"Hey, my name is Mitch, and I'm a PM here at Aquarium. In this video, I'll be introducing you to Tidepool, a tool we've built to help product teams understand user interactions with AI and ML models. I'll walk you through a basic use case in Tidepool, where we analyze chat conversations between users and a model. By adding categories and attributes to the data set, we can gain valuable insights and make better decisions to improve our products."}