video1.0<iframe src="https://www.loom.com/embed/405c72b51c6e414a980ce3446637f6b4" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/405c72b51c6e414a980ce3446637f6b4-74fdca88c551136e.gif347.84Hi everyone, I’m Aditya Kasturi, and this Loom is my Applied AI Assistance final project, VibeFinder AI. It extends the Module 3 Music Recommender by adding a cloud powered agent that takes plain English, selects parameters, then uses a deterministic, explainable scoring engine. I also built a test harness that runs eight predefined cases automatically, and all eight pass, with 18 out of 18 namechecked. I show three modes, evaluation harness, batch simulation, and agent mode, including example prompts like calm studying, aggressive gym, and adding variety. No action is requested from viewers.