{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/f8926ea7540e49eba4edde53c9beae39\" frameborder=\"0\" width=\"1662\" height=\"1246\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1246,"width":1662,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1246,"thumbnail_width":1662,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/f8926ea7540e49eba4edde53c9beae39-362b76b374b36aea.gif","duration":913.523,"title":"Practical Airtable AI with Agents and Omni 🤖","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."}