{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/dc330a59c16b4e668422a9a193f9a11a\" frameborder=\"0\" width=\"1320\" height=\"990\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":990,"width":1320,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":990,"thumbnail_width":1320,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/dc330a59c16b4e668422a9a193f9a11a-d9a58cc816631ffb.gif","duration":327.531,"title":"SoundMatch Agentic AI Music Recommender Demo","description":"Hi, I am Sean Clemens. I built SoundMatch, an agentic music recommender that includes retrieval, self critique, confidence scoring, and automated testing, plus a UI that shows all five steps in real time. With default settings, Sunrise City ranked highest at 1.0 confidence, high, and I show the exact genre and mood reasons for each pick. When I changed mode to mood first, confidence rose to 94 percent. I then tested guardrails where an out of range energy of 1.5 was blocked, and my test harness ran 8 out of 8 tests passed. No action was requested from viewers."}