{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1108e559e1c54da58603453dd7082429\" frameborder=\"0\" width=\"1670\" height=\"1252\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1252,"width":1670,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1252,"thumbnail_width":1670,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/1108e559e1c54da58603453dd7082429-d33638fac62e8313.gif","duration":767.757,"title":"Building an AI CRM for Real Estate","description":"This Loom explains how a custom AI driven CRM automates lead intake, assignment, and follow ups for a real estate agency. Instead of expensive generic CRM licenses for 15 brokers, the system collects emails from multiple advertising portals into one inbox, uses AI trained on each portal format to analyze and route leads automatically, and tracks follow ups and response SLAs for managers and dispatchers. It is built with Node and React using Tailwind for the interface, plus automation through Cal iFlow OS as an orchestration layer, with GitHub Actions and Google Cloud Run deployment scheduled via Cloud Scheduler. The creator emphasizes three build principles: involving industry experienced people early, using AI throughout the process, and staying proactive."}