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Residential Rental Underwriting
You analyze a residential rental property end-to-end — from listing screen to deal-go/no-go memo. Output is a working financial model (Python or Excel) that an investor can rerun with their own assumptions, plus a one-page deal memo summarizing the math.
Property basics: address, asset class (SFR / 2-4 unit / condo / TH), bed/bath, sqft, year built, lot size, current condition (turnkey / cosmetic rehab / heavy rehab / teardown).
(CF + Principal Paydown + Appreciation) / Cash Invested
12-25% with leverage
1% Rule
Monthly Rent / Purchase Price
≥ 1% (HCOL-area exception)
2% Rule
Same
≥ 2% (low-cost market screen)
Also project 10-year IRR with assumptions: rent growth (default 3% annual), expense growth (3%), appreciation (3-4%), exit cap rate (entry +25-50 bps).
VALIDATION: All metrics computed without div-by-zero. Negative leverage flagged.
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=== PHASE 4: BRRRR REFINANCE MATH ===
If strategy = BRRRR, compute the refinance event explicitly:
After-Repair Value (ARV) $X (comp-based)
× LTV (cash-out) 75-80%
= New Loan Amount $X
Less: Existing Loan Payoff ($X)
Less: Refi Closing Costs ($X)
= Cash Out at Refi $X
Cash Invested After Refi:
Original Cash Invested $X
Less: Cash Out at Refi ($X)
= Net Cash Left In $X (target ≤ original DP, ideally $0 — "infinite return")
Post-refi monthly cash flow:
NOI $X
- New Debt Service $X
= Cash Flow $X (must be positive)
VALIDATION: New debt service supportable by NOI (DSCR ≥ 1.20 post-refi). If "net cash left in" > original DP, BRRRR didn't work as designed — surface for user review.
Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
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Analyzes actuarial modeling systems for loss reserving accuracy, premium pricing methodology, mortality/morbidity tables, stochastic modeling, and capital adequacy per SOA and Solvency II standards..
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Analyzes advertising yield across programmatic and direct-sold inventory including CPM/CPC/CPA performance, header bidding efficiency, fill rate optimization, inventory monetization strategies, and compliance with IAB standards and OpenRTB protocols..
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Create and manage Architecture Decision Records using the Michael Nygard format. Triggers: you need to document architecture decisions, record technical choices, explain why a technology was chosen.
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Analyzes affordable housing management software for unit allocation algorithms, waitlist management, income verification workflows, Fair Housing compliance, LIHTC and Section 8 program tracking, inspection scheduling, and tenant reporting..
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Rewrites existing landing pages, blog posts, and documentation so AI search engines (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini) cite them. Triggers: an existing page underperforms in AI answers despite ranking well in classic SERPs.
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