Red-team and score student-housing underwriting deals
A poster uses Claude on a student-housing acquisition platform, with an agent that red-teams underwriting assumptions, scores deals on five dimensions, and gives a credit recommendation. ·
Done withClaude
- What they did
- A commenter described a multi-agent pipeline inside Claude Projects for a student-housing acquisition platform. Deals move through separate agents for pre-screening, financial spreading from the OM, T-12, and rent roll, underwriting, and then a CCO agent that holds the credit policy, red-teams assumptions, scores five weighted dimensions, and can override with written justification; each deal stays in its own conversation, outputs are handed off in structured packages, and a human gate remains before anything goes to IC.
- How it went
- They said the CCO agent was the key change because it applied the same credit policy every time, and final reports auto-uploaded to Google Drive for partners. The reported result was cutting deal-receipt-to-scored-IC-memo time to under an hour on most submissions, but it was still not fully automated.
- Worth knowing
- The main catch was that they intentionally kept a human approval step before any deal went to investment committee.
Try it yourself with Claude
Act as an investment committee skeptic on this student-housing deal. I'll paste the underwriting assumptions: [rents, occupancy, expenses, cap rate, financing, enrollment data]. Red-team each assumption, score the deal 1-10 on [five dimensions, e.g. market, location, sponsor, financials, risk], and give a final credit recommendation of approve, revise, or decline with reasons.
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
Source: Reddit · Mar 11, 2026
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