Your real estate agent runs the docs through AI, then shares the result with you in a single click. You ask questions, approve, or reject — all in one place.
Built for real estate agents and the owners they work with.
What you get
From application to decision in under an hour.
Application, ID, income, credit, references — whatever you have. PDFs and photos both work.
A 0–100 risk score, 4-category breakdown, and plain-English summary — every claim cited back to a specific document.
Owner reads the evaluation, asks questions in a per-tenant thread, and approves or rejects. The decision is always the human's.
See it
The agent runs the workflow; the owner reads the result and decides. Both sides share the same thread.
Alex Morgan
Status: ready
Documents
Alex Morgan
Status: shared
AI Summary
Strong financial profile: stated income covers rent 3.0×, credit history is clean, and the prior-landlord reference describes consistent on-time rent payments over a 3-year tenancy. ID matches application.
Thread
Income looks strong — was the employer verified?
Pay stub is from Northwind Software, matches LinkedIn. I’ll request a verbal confirmation today.
The evaluation
Two passes through Claude: one to extract the basics from the uploaded documents, one to score the candidate against the property and produce a justified recommendation. The model is instructed to skip protected-class attributes and to cite a source document for every claim.
Concerns
● Stated income is self-reported (no W-2 provided) — application.pdf
Verified facts
Same tenant, two roles, one shared thread.
Documents
For Real Estate Agents
You source the candidate, the platform handles the rest.
Income covers rent 3.0×, clean credit, references confirm 3-year tenancy.
For Property Owners
Read the AI summary, ask questions, approve or reject.
Join the private alpha — for agents and the owners they work with.
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