<?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/e9ab2d3dae4a45e582db5bc0211f8f23&quot; frameborder=&quot;0&quot; width=&quot;1890&quot; height=&quot;1417&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1417</height><width>1890</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1417</thumbnail_height><thumbnail_width>1890</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e9ab2d3dae4a45e582db5bc0211f8f23-581c63659e2acb5e.gif</thumbnail_url><duration>422.975</duration><title>Clay Uni - Claygent Web Scraping</title><description>In this video, I delve into the intricacies of Claygent, a powerful tool that combines web scraping and AI to provide tailored results. I explain how effective prompting is key to maximizing Claygent&apos;s capabilities, and I demonstrate how to access and utilize Claygent within the enrichment panel. Additionally, I discuss the importance of selecting the right AI model, such as Claygent Neon, for specific tasks. By showcasing practical examples and tips, I aim to empower viewers to leverage Claygent efficiently for data extraction and analysis.</description></oembed>