<?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/01ade1a8fb1d4624917f303589cc8cd3&quot; frameborder=&quot;0&quot; width=&quot;1894&quot; height=&quot;1420&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1420</height><width>1894</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1420</thumbnail_height><thumbnail_width>1894</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/01ade1a8fb1d4624917f303589cc8cd3-ff3314ccaf5f84a3.gif</thumbnail_url><duration>136.98</duration><title>Understanding the Differences Between Claygent and GPT Integration</title><description>In this video, I demonstrate the distinctions between using Claygent and our GPT integration for specific tasks like web scraping. While GPT is limited to historical data and cannot act on websites, Claygent functions as an AI agent capable of browsing websites and conducting research at scale. I showcase a workflow where GPT and Claygent are tasked to find out if a company offers a free pricing tier, highlighting their contrasting capabilities.</description></oembed>