{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/5798e6bc963d49098c20425d830cd0b0\" frameborder=\"0\" width=\"1658\" height=\"1243\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1243,"width":1658,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1243,"thumbnail_width":1658,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/5798e6bc963d49098c20425d830cd0b0-146d51f48ff12931.gif","duration":193.856,"title":"How AI Agent Cuts Rental Repairs Time","description":"This Loom explains how a Telegram-based agent streamlines maintenance requests for rentals when something breaks. It contrasts the current experience of a pipe burst at 11 p.m. leading to three days of phone calls and manual plumber searches with no shared channel or tracking. Instead, a tenant sends a photo and detailed description; the model classifies the issue and uses EXA to find a matching specialist, then emails them with the address and problem details and notifies both tenant and landlord once confirmed. The agent keeps an open case across tenant, landlord, and specialist, reducing the time from three days to one message, and the demo also points toward connecting smart home sensors to catch issues before a new tenant moves in."}