{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/118a7a61dff3465393f0a91181cd3bb4\" frameborder=\"0\" width=\"1516\" height=\"1137\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1137,"width":1516,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1137,"thumbnail_width":1516,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/118a7a61dff3465393f0a91181cd3bb4-00001.gif","duration":352.8666666666671,"title":"Understanding Conversations: AI at Work Challenge Submission [🎥]","description":"Hey folks, Bill French here. In this three-minute video, I'll be discussing our latest submission to the AI at Work challenge, focusing on understanding conversations. We all participate in forums and communities, trying to make sense of various topics and contribute our thoughts. Our solution takes any discourse URL and provides valuable insights. I'll demonstrate how it works using a recent post and show you the data it generates. This tool can save you time, identify key questions, suggest workarounds, and even provide consensus and related product features. Watch the video to learn more!"}