For Robert Brown · MSRE · SD + Vegas

Robert — calibrated UW models for vacation rental + coastal multifamily.

Built specifically for the operator who answered "financial modeling, excel, email reply" when asked where AI is still clunky.

You're already 3-4 hours a day deep in AI tooling. The reason it's saving time on email but breaking on financial modeling isn't your prompts — it's that generic AI can't see what makes one comp actually comparable to your subject when you're underwriting an oceanfront vacation rental in Solana Beach with seasonal occupancy that swings 40% between July and February.

Where the gap lives

The three sub-problems hiding inside "financial modeling"

From your reply: "financial modeling, excel, email reply." Modeling is the deepest one. It usually decomposes into three:

1. Sourcing the right comps

Generic AI defaults to MLS averages, which means it's pulling 3BR/2BA Solana Beach comps that include long-term rentals, owner-occupied, and zone-mismatched properties. For VR underwriting, those are noise. The real comps are: similar sleep count, similar oceanfront/walkability tier, similar seasonal positioning, similar HOA structure, similar STR-permitted status.

Fix: a sourcing layer that pre-filters against your VR-specific criteria before the AI ever sees the comp pool.

2. Adjusting for seasonality + your actual portfolio

SD oceanfront and Vegas don't share a seasonal curve. SD coastal hits peak July/August/Labor Day with shoulder April + October; Vegas hits January + summer-long convention cycles. Generic AI averages them. Worse: it doesn't know YOUR portfolio's actual historical performance, so it can't calibrate to "what does THIS submarket typically deliver vs theoretical."

Fix: a calibration layer that loads your last 12-24 months of actuals and corrects the model's baseline assumptions per market + property type.

3. Packaging the output for partners / lenders / buyers

Even if the model is right, the output is a wall of Excel. Partners want a defensible 1-pager. Lenders want a stress-tested DSCR view. Buyers want the upside narrative. Generic AI hands you the numbers without the framing.

Fix: a presentation layer that takes the same model output and renders three different views (partner / lender / buyer) on demand.

Generic AI vs calibrated

The difference, side by side

❌ Generic AI

Pulls comps from MLS averages
Averages SD + Vegas seasonality
Doesn't know your portfolio history
Flat output, partner/lender/buyer get same numbers
You spend hours rebuilding in Excel
Off by 15-30% on revenue projections for VR

✓ Calibrated UW model

VR-specific comp filters (sleeps, oceanfront tier, STR-permitted)
Per-market seasonal curves (SD coastal vs Vegas)
Loaded with YOUR actual rent/occupancy history
Three output views: partner / lender / buyer
Excel + clean PDF in same run
Within ~5% on calibrated submarkets

How this would actually ship

What you'd get, what it costs, what it takes

Single deal model: $300, same-day turn

Send me one deal you're actively underwriting. I'll build a one-off calibrated model with the three sub-fixes above. You see exactly what a built-for-Robert tool looks like vs whatever you're using today. Yours to keep + iterate on.

Reusable template tied to your portfolio: $1,500, 5-day turn

Same approach but parameterized — you paste any new deal in, model recalibrates against YOUR comp library + YOUR historical performance. 1 deal/week becomes 1 deal/hour. No retainer; you own the artifact.

Full operator-grade UW system: $5,000-12,000, 2-3 week turn

Comp sourcing layer + seasonal calibration + 3-view packaging + portfolio dashboard + handoff docs for any analyst on your team. The "stop touching Excel" version. Still no retainer.

Pricing & terms

Same-day to 3-week turn · No retainer · You own the artifact

One-off deal model$300

Reusable portfolio template$1,500

Full operator UW system$5,000-12,000

Discovery call requiredno

Monthly retainerno

Calibrated to YOUR datayes

One text. One deal. Same-day model.

Send me a property you're underwriting. I'll build the $300 calibrated version + show you exactly what the gap costs you on generic AI.

💬 Text PJ a Deal 858-461-8054 · MSRE-aware operator vocabulary, no agency layer

P.S. — also relevant for the cross-market angle: most operators specialize in one geography. SD + Vegas is the rare combo. Calibrated UW models that handle BOTH markets have legitimate scarcity value beyond just your own portfolio. Worth a longer conversation if/when you want.