video1.0<iframe src="https://www.loom.com/embed/f9af6d23b93b41ed99f1a12ce4d88e8e" frameborder="0" width="1808" height="1356" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>13561808Loomhttps://www.loom.com13561808https://cdn.loom.com/sessions/thumbnails/f9af6d23b93b41ed99f1a12ce4d88e8e-0e5baf359b8e2c57.gif316.595I’m sharing VibeFinder 2.0, an enchanting workflow I built by extending my Module 3 MagicRenderer Simulation. It loads 30 songs across 14 genres and first shows simple scoring for 3 user profiles getting their top 5 tracks, like HappyPotFan and ChillRuffyFan. Then a new agent turns plain English requests into playlists with an energy arc, for example workouts that start short and build up, and therapy style transitions that go high to low. I ran automated evaluators across 10 scenarios, with 10 independence passed and 96 percent average confluence. No direct viewer action was requested.