The user enters one property acquisition, and the system models seven exit strategies (flip, long-term hold, Airbnb/STR, seller finance, BRRRR, BRRRR repeat, and wholesale fallback), each returning net profit, cash flow, cash required, ROI, capital recovery, risk, and a deal score. A winner engine ranks strategies against the investor's chosen goal and explains why the top strategy wins, producing a primary/backup/emergency exit stack and a 0-100 Deal DNA Score. A sensitivity simulator stress-tests assumptions live, a risk heat map grades category risks, and users can export an investor-grade report. AI explanations are grounded strictly in stored assumptions and calculated outputs.