{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1a914014972546af994d3654fb3a6254\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/1a914014972546af994d3654fb3a6254-672e61435de19694.gif","duration":156.923,"title":"ToneVision AI End to End Music Insights 🎵","description":"In this Loom, I walk you through two quick end to end examples of how ToneVision AI understands music and gives explainable recommendations. I start in the main app, then show what happened behind the scenes. Next I highlight the vector search layer that powers similarity. I also share the overall takeaway, how the system works in practice and what drives the recommendations. No action was explicitly requested from viewers."}