<?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/30452e34324d42c4b97ffab11790dacb&quot; frameborder=&quot;0&quot; width=&quot;1730&quot; height=&quot;1297&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1297</height><width>1730</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1297</thumbnail_height><thumbnail_width>1730</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/30452e34324d42c4b97ffab11790dacb-fafe35d73fd12b25.gif</thumbnail_url><duration>540.973</duration><title>Using Gamma with AI Agents at StackOne</title><description>In this demo, I showcase how we&apos;re leveraging Gama in conjunction with AI agents to enhance our speed and efficiency at Stack1. I walk through a scenario where I create a tailored Gamma deck using information from call recordings, Google Drive, and Slack, all while ensuring no sensitive data is exposed. I demonstrate retrieving a meeting summary and our core value proposition to populate the deck. I encourage you to check out Gama&apos;s capabilities and consider how it can streamline your processes. Please let me know if you have any questions or need further clarification on using these tools.</description></oembed>