<?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/f8926ea7540e49eba4edde53c9beae39&quot; frameborder=&quot;0&quot; width=&quot;1662&quot; height=&quot;1246&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1246</height><width>1662</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1246</thumbnail_height><thumbnail_width>1662</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f8926ea7540e49eba4edde53c9beae39-362b76b374b36aea.gif</thumbnail_url><duration>913.523</duration><title>Practical Airtable AI with Agents and Omni 🤖</title><description>In this Loom, I share three practical AI use cases in Airtable. First, I show how we treat inbound sales leads as unstructured emails, then use field agents to create contacts, pull LinkedIn research, generate summaries, ask clarifying questions, score priority, and draft a response we can send. Second, I show how field agents can analyze Slack, email, and meeting minutes to summarize key insights and reduce admin. Third, I built a trend dashboard with Omni for emerging social media trends. No action was requested from you.</description></oembed>