<?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/e148c583e8c64dd8884f8da31bff09d1&quot; frameborder=&quot;0&quot; width=&quot;1620&quot; height=&quot;1215&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1215</height><width>1620</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1215</thumbnail_height><thumbnail_width>1620</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e148c583e8c64dd8884f8da31bff09d1-e9c4b1b0cfde44ee.gif</thumbnail_url><duration>80.492</duration><title>PegahZargarian-ClaudeCorpFellow</title><description>This Loom explains how Cloud helped Pegas Argaryen approach a complex accessibility browser extension project during an AI engineering co-op. Pegas shares that while Cloud initially felt fascinating, building real AI projects made it feel like a thinking partner that clarified options, tech stack decisions, and how to break a messy problem into smaller steps. They say Cloud never replaced their own thinking, but helped them organize their work and gain confidence as a learner and builder. Pegas also expresses pride in creating meaningful projects that help people with disability and accessibility needs, and thanks CodePad and Entropy for the opportunity to students.</description></oembed>