Home Vision

Model a property before you commit

Renovation, addition, rental, construction, and flip scenarios — with every assumption on the same screen as the number it produced, and every gap named rather than papered over.

Free, immediate, and no contact details until after you have seen the result.

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Scenario types, from a kitchen refresh to land and new construction

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Figures presented as a single fake-precise number — everything is a range

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Contact details required to see your result

What it actually does

It runs finance arithmetic on numbers you supply, and it is honest about the numbers you did not.

Ranges, never a point

Every scenario runs three times — one unfavourable set of assumptions, one middle, one favourable — and each end of the band is a coherent story rather than the worst corner of every input at once. If a range cannot honestly be produced, the figure is not shown.

Your inputs and our placeholders, kept apart

The result lists what you entered, what the model assumed on your behalf, and which figures each one drove. Any assumption we supplied is marked modelled assumption — not market data, because that is what it is.

A list of what nobody checked

Zoning, permitting, flood zone, insurance availability, rent support, and the absence of comparable sales are named on every result, with the authority that can settle each one. A gap stated plainly is more useful than a plausible number nobody can trace.

Eight scenarios it will model

Each asks for different numbers and produces different figures.

Renovate an existing home

Whole-home work on a property you own or are buying.

Tells you: What the project costs all in, and how much of that spend the model expects to show up in value.

Add square footage

New conditioned space attached to an existing structure.

Tells you: Cost per added square foot, total project cost, and the modelled value of the space.

Kitchen or interior upgrade

A refresh inside the existing footprint.

Tells you: Budget plus contingency, carrying cost, and the modelled value change.

Land plus new construction

Buying a lot and building on it.

Tells you: Delivered cost including land, soft costs, and carry, against a modelled completed value.

Long-term rental

A twelve-month lease on a single property.

Tells you: Monthly cash flow, the rent needed to break even, and debt service coverage.

Short-term rental

Nightly letting. Check first whether it is permitted where you are.

Tells you: Booking income after unbooked nights, operating cost, and the income needed to break even.

Fix and flip

Buy, renovate, and resell.

Tells you: The resale price needed to break even — the one figure here that depends on costs rather than on a value nobody has established.

Buy and hold

Rent it, keep it, and look at where it lands after a number of years.

Tells you: Cash flow now, plus modelled equity at the end of the hold from paydown and value change.

What a concept image is, and is not

Three of those scenarios, drawn as a before and an after. Every altered image says so on the image. None of these is Vision output — Vision computes figures and produces no imagery at all — and none of them depicts a real project, a real client, or a real address.

Renovation

A cosmetic refresh on an older bungalow. What a scenario like this actually turns on is the cost you enter and the resale assumption you choose, not how the picture looks.

A dated single-storey Florida bungalow with a covered porch and tropical planting

Starting point — shown unaltered

The same bungalow illustrated with fresh paint, tidier planting and brighter trim

Concept visualization — a generated illustration of one possible outcome. Not a photograph of completed work, a design, or a prediction of result.

Addition

A modest wing beside an existing house. Whether it may be built at all is a setback, zoning, and permitting question, and the model answers none of them — it lists them as unverified instead.

A two-storey Florida house with an attached garage on a suburban lot

Starting point — shown unaltered

The same house illustrated with a single-storey wing added to one side

Concept visualization — a generated illustration of one possible outcome. Not a design, not an approval, and not evidence that anything may be built.

Land and new construction

A house placed on open ground. Access, utility capacity, wetland delineation, and permitted use decide whether that placement is even possible, and a picture cannot settle any of them.

Open Florida pasture with scattered oaks and a two-track sand drive

Starting point — shown unaltered

The same land illustrated with a single-storey house set back at the end of the drive

Concept visualization — a generated illustration of one possible outcome. Placement, access, permitted use, and flood zone are not established here.

What it will never do

These are not caveats added at the end. They are the reason the tool is built the way it is.

  • It will not tell you a property is a good deal or a bad one, and it will not recommend that you buy, build, renovate, or sell anything.
  • It will not produce an appraisal, a valuation, a broker price opinion, a construction bid, a zoning or permitting opinion, or an offer of credit.
  • It will not invent a comparable sale, a construction cost per square foot, a market rent, or an after-repair value and present it as data. Where a real source would be needed, it uses a labelled placeholder you can change and lists it as unverified.
  • It will not assert that a use is permitted, that a permit will issue, or that a property is outside a flood zone. Those come from the city, the county, and FEMA.
  • It will not ask for a contact detail to show you a result, and it will not put your address, price, budget, rent, or income into an analytics event.

How the arithmetic works

The part that matters most is the part that is deliberately boring.

Every figure comes from tested, versioned functions in a package that has no network access, no clock, and no randomness — the same input produces the same output, forever. Money is held as integer cents and rates as basis points, so nothing drifts through rounding. The whole model runs in your browser in milliseconds and costs nothing to run, which is exactly why there is no reason to charge you an email address for it.

A language model performs none of it. AI in Vision is reserved for written narrative and imagery around figures that were already computed, and it is switched off until it is configured — because a model that guesses at a number and a model that describes one are different things, and only the second is safe.

Scenario engine: available nowAI narrative and imagery: Not available yet
A single-storey Florida bungalow with a covered porch, framed as a cover image
If you want the write-up, ask for it after the result. The scenario runs and displays without a contact detail; a written summary is something you request afterwards, once you have already seen the figures. The cover image above is generic photography chosen for this page — it is not a property anybody modelled, not a client’s home, and not a report about a real address.

See your numbers first

Run the scenario, read the assumptions, look at what nobody has verified. Then decide whether it is worth a conversation.