<?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/2fbd25a6df07412c983f6664ca0cee03&quot; frameborder=&quot;0&quot; width=&quot;2188&quot; height=&quot;1641&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1641</height><width>2188</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1641</thumbnail_height><thumbnail_width>2188</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/2fbd25a6df07412c983f6664ca0cee03-fb2b9bc4b330ccb0.gif</thumbnail_url><duration>144.145</duration><title>Advanced Dynamic Variables in AI Agents</title><description>In this video, I demonstrate a more advanced way to use dynamic variables in AI agents to enhance personalization in conversations. I show how the agent can adapt its behavior based on whether a customer has given permission for callbacks. You&apos;ll see two demos: one where permission is already granted and one where it isn&apos;t. I encourage you to think about how this can improve our customer interactions. Please let me know your thoughts on implementing this!</description></oembed>