<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/e1c5d9abebf84125afdc14c8589915b3&quot; frameborder=&quot;0&quot; width=&quot;1110&quot; height=&quot;832&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>832</height><width>1110</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>832</thumbnail_height><thumbnail_width>1110</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e1c5d9abebf84125afdc14c8589915b3-d1f2f17599518df4.gif</thumbnail_url><duration>300.122</duration><title>Applied AI System Project: Music Recommender Simulation</title><description>CodePath AI110 Project 4 walkthrough. This project extends my Module 3 Music Recommender Simulation into an applied AI system with local RAG retrieval, guardrails, confidence scoring, logging, and an automated evaluation harness.</description></oembed>