<?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/536c5c12a2ee4f97b2c51ed8e4a74678&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/536c5c12a2ee4f97b2c51ed8e4a74678-00001.gif</thumbnail_url><duration>199.239</duration><title>A Case Study on the Vision App 📹</title><description>Hey there! In this video, I&apos;m Morgan Martin from Cogent AI, and I&apos;ll be giving an overview of an app I built called Vision. This app serves as a great case study for practicing product-oriented skills. I&apos;ll be sharing my experience using a cool tool called Plasmic, which exports code components directly into your app. Throughout the video, I&apos;ll showcase the features of Vision, including prompt generation and image styling. Although some features are still in progress, I wanted to demonstrate my grasp of product skills and show how everything comes together. You can access both the front and back ends of the application in the GitHub repo.</description></oembed>