<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/94eb15a8eb6e4ec2811b74e82545bfe0&quot; frameborder=&quot;0&quot; width=&quot;1314&quot; height=&quot;985&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>985</height><width>1314</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>985</thumbnail_height><thumbnail_width>1314</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/94eb15a8eb6e4ec2811b74e82545bfe0-00001.gif</thumbnail_url><duration>371.864312301</duration><title>Introduction to Tidepool</title><description>Hey, my name is Mitch, and I&apos;m a PM here at Aquarium. In this video, I&apos;ll be introducing you to Tidepool, a tool we&apos;ve built to help product teams understand user interactions with AI and ML models. I&apos;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.</description></oembed>