Deal analysis, rent comps, underwriting models, and STR revenue projections. 5 use cases. RSS
PLOT Daily's Jake Heller and Quinn Edwards ran six CRE workflows through Claude Cowork in just over 20 minutes, including mapping an offering memorandum into their underwriting model, abstracting a 50-page lease against an estoppel, and producing a quarterly investor report PDF, then saved lease abstraction and deal screening as reusable skills.
Solo GP Jeremy Apfel, with about $500 million of industrial, office, and multifamily assets, built the underwriting platform Reversion Technologies largely himself with Claude, feeding the model graduate-level real estate material plus years of historical model inputs and outputs to build a deterministic cash flow engine over several thousand hours.
PLOT Daily built a scheduled Claude routine that checks the inbox, CRM, and call notes every Monday at 7 a.m., with a 12-month lookback on the first run, extracts every rent comp mention, and logs each comp to a spreadsheet, running the recurring job on the cheaper Sonnet model.
Ben Michel of Ridgeview Property Group spent half a day teaching Claude Cowork his underwriting spreadsheet cell by cell, saved the session as a Skill, and now gets a model populated in about 5 minutes instead of paying a freelancer $100 per property and waiting 3-4 days.
Adventures in CRE built an AI Skill for its Short-Term Rental Acquisition Model that teaches Claude, ChatGPT, or Gemini every input cell; the Skill asks whether the user is an STR buyer, an LP, or a lender and leads with the matching metrics, such as minimum DSCR for lenders because seasonal revenue can hide weak months.
Five new real estate AI use cases, with tools and prompts, in your inbox. Confirm by email; unsubscribe in one click.