video1.0<iframe src="https://www.loom.com/embed/f81ea4217b4b483abdec466a5ec0ead6" frameborder="0" width="1662" height="1246" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12461662Loomhttps://www.loom.com12461662https://cdn.loom.com/sessions/thumbnails/f81ea4217b4b483abdec466a5ec0ead6-d48a00606098aa7c.gif268.998This Loom demonstrates Twin’s real estate onboarding with Aria, an AI employee focused on finding cash buyers for a realtor. It shows Aria running a task for Austin, Texas, using deeds 30 and purchases to count 2, then consolidating 266 cell records and enriching them via connected Twin databases including Atom and BatchData with DoNotContact compliance checks. Aria scrapes relevant sites such as Zillow and Homes.com, filters results based on agreed feedback, and produces a cachebio report highlighting the top three active buyers across sources. The Loom ends with Aria scheduled to run every morning at 8 a.m. and deliver the Austin cash buyer email to the viewer’s inbox.