<?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/6cdc4eb0bbe244b8a09c7321b31eccaa&quot; frameborder=&quot;0&quot; width=&quot;1662&quot; height=&quot;1246&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1246</height><width>1662</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1246</thumbnail_height><thumbnail_width>1662</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6cdc4eb0bbe244b8a09c7321b31eccaa-4f16f5711b0c6efc.gif</thumbnail_url><duration>115.307</duration><title>Generative Web View with Personalized Scraping</title><description>This Loom explains how the team built a personalized generative web view using Copilot Kit and AGUI for the hackathon. It describes a scraper that uses GNA’s reader API to fetch raw page content and a separate GNA API call to obtain a screenshot. The screenshot is analyzed by a GMA model to extract website attributes like colors, fonts, and spacing, which are stored and used to generate flexible UI components. The app also includes user preferences for browsing options such as tone of voice, density, and visual aspects, along with a theme editor tied to the captured image.</description></oembed>