{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6edd4804c099469c909f011524c28b4c\" frameborder=\"0\" width=\"1440\" height=\"1080\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1080,"width":1440,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1080,"thumbnail_width":1440,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/6edd4804c099469c909f011524c28b4c-cd060e216f55b378.gif","duration":239.083,"title":"AI Maintenance Request Classifier","description":"This Loom shows a workflow to help property managers respond to maintenance requests faster by automating the first triage step. It demonstrates a tenant form submission describing an emergency flooding issue, after which the system reads the description, determines the issue type and urgency, creates a summary, and generates a request ID. At the same time, every request is saved to a Google Sheets maintenance tracker with category, urgency, summary, and request ID. The workflow also alerts the property manager immediately via Gmail with a red notification for urgent action, reducing manual sorting and enabling faster responses."}