<?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/6eb56830685d4e00897ff949a93e48b2&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/6eb56830685d4e00897ff949a93e48b2-a6310060e0b8c519.gif</thumbnail_url><duration>75.06</duration><title>Introduction to Warm Introductions in Clay Book 📚</title><description>Hi everyone, I&apos;m Alex, a GTM engineer at Clay, and I&apos;m thrilled to introduce you to the Clay book on warm introductions for target accounts based on mutual investors. In this video, I guide you through cloning the Clay table, adjusting the formula, confirming the output, and saving settings to identify common investors using an AI agent named Claygent. Follow along to streamline your warm introduction process efficiently.</description></oembed>