<?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/fab14f1e01c74a268d91422d968d9f07&quot; frameborder=&quot;0&quot; width=&quot;1670&quot; height=&quot;1252&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1252</height><width>1670</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1252</thumbnail_height><thumbnail_width>1670</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/fab14f1e01c74a268d91422d968d9f07-d33dd53676bf1ee8.gif</thumbnail_url><duration>106.673</duration><title>AI Agents - Automating Twitter Replies with AI 🤖</title><description>In this video, I explain a LinkedIn workflow that automates Twitter replies using AI. The process involves searching for specific terms on Twitter, analyzing sentiment, and storing data in Superbase. This is particularly useful for businesses or personalities who receive a lot of feedback on Twitter, allowing them to respond 24/7. I encourage you to think about how this could enhance your engagement strategy.</description></oembed>