The model handles…
- Pulling and weighting comparable sales.
- Reading condition cues from your photos.
- Estimating a repair budget and a hold cost.
- Scoring how complete and trustworthy the file is.
- Returning a range fast — median 11 minutes.
Model-drafted · human-closed · cash buyer
Sell My House To AI is exactly what the name says — and honest about what it isn't. You send facts and photos; our valuation model, Band Engine v4, returns a cash range in minutes. But no robot sends your money. A licensed human closer reviews every band, owns the single number that wires, and signs their name to it. This is automation with an accountable person at the end, not a chatbot pretending to buy your house.

The pipeline
Five stages. The model does the fast, boring parts; the human does the part with your money on it.
Reading the band
Above our 50 floor, so this file gets a band. Below 50, we ask for more instead of quoting.
Complete files land near ±6%; thin files widen fast.
More photos and honest condition notes push the marker right — a tighter band and a faster human sign-off.
Teal is human overrides (~18%). Violet is bands the closer nudged inside the range without a full override. The rest ship as the model drafted them.
| Stage | Value |
|---|---|
| Model midpoint | $221,000 |
| Band width | ±6% |
| Human decision | held |
| Wired number | $221,000 |
The part that isn't AI
A model is great at comps and terrible at surprises. The closer exists for the 18% of files where the map isn't the territory.
What the system gives you
Median 11 minutes to your first band on a complete file. No scheduling a callback to hear a range.
Below 50 confidence we won't quote. A number we don't believe is worse than no number at all.
The figure that wires carries a human closer's ID. Accountability, not an anonymous algorithm.
We document what Band Engine v4 uses, where it's weak, and how often humans override it. No black box.
More photos and honest condition notes shrink your band toward ±6% and speed the human sign-off.
Once the closer commits inside the band, that's the number. The model doesn't get a second, quieter vote later.
How the model is doing
A model that says "78 confidence" should be right about 78% of the time. Here's how ours has trended.
The band engine has crept toward its stated confidence as we've fed it more closed files in each market.
Median 11 minutes on a complete file.
Bands the model drafted. Darker = busier week.
Life of one complete file
A real timeline for a well-documented Phoenix file — the fast part is the model, the accountable part is the human.
Structured facts and 14 interior/exterior photos submitted. Completeness score clears the bar.
Band Engine v4 gathers and weights recent comparable sales within the submarket.
Photos scored for repair cues; a repair budget and hold cost are estimated.
Range and confidence delivered to you — the 11-minute median in action.
A named closer checks the comps and confirms the number, logging a hold or an override.
Title clears and the closer's committed figure funds. No quiet retrade in between.
Where the model is trained enough to trust
The model is only as good as its local data. We turn on new markets when calibration clears our bar — not before.
| Metro | Model status | Median confidence | Override rate |
|---|---|---|---|
| Phoenix, AZ | Mature | 81 | 14% |
| Charlotte, NC | Mature | 79 | 16% |
| San Antonio, TX | Mature | 77 | 18% |
| Cleveland, OH | Seasoning | 71 | 24% |
| Jacksonville, FL | Seasoning | 69 | 27% |
Notice "seasoning" markets have higher override rates — the humans carry more of the load until the model catches up. We show you that instead of hiding it.
Anonymized recent files
Block-level addresses only. Actuals rounded to the nearest thousand.
| File | Area | Conf. | Draft band | Human | Wired |
|---|---|---|---|---|---|
| SMH-0912 | 2900-block N 27th Ave, Phoenix | 81 | $214k–$228k | Held | $221k |
| SMH-0937 | 600-block Tuckaseegee Rd, Charlotte | 74 | $188k–$204k | Cut (bad comp) | $191k |
| SMH-0958 | 1300-block Bandera Rd, San Antonio | 63 | $162k–$182k | Raised (extra beds) | $179k |
| SMH-0981 | 4700-block Pearl Rd, Cleveland | 58 | $96k–$112k | Held after call | $103k |
| SMH-1004 | 800-block Cassat Ave, Jacksonville | 47 | — | No quote (<50) | — |
| SMH-1019 | 3300-block E Bell Rd, Phoenix | 85 | $268k–$284k | Held | $276k |
In sellers' words
"I sent photos on my lunch break and had a real range before I finished my sandwich. What I didn't expect was a call from an actual person explaining why they nudged it up for the extra bedroom."
— Priya S., Phoenix"They told me my file was only 47 confidence and refused to throw out a number. Every other 'instant offer' site just guessed. I trusted the one that said 'not yet.'"
— Derek M., JacksonvilleWhat it costs you
Automation lowers our cost, not your proceeds. Here's the whole fee picture.
There is no fee for using the model, and no premium for talking to the human. Both are just how we buy houses.
Straight answers
No, and we won't pretend otherwise. A model drafts the range; a licensed human closer reviews it, owns the final number, and signs off on the wire. The AI makes us fast — the person makes us accountable.
A Zestimate guesses retail value. Our band is a cash offer range, built from comps, your photos, and an estimated repair budget — then reviewed by a human. It also comes with a confidence score, and if that score is under 50, we don't send a number at all.
On a complete file, the draft band is usually within about 6% of its midpoint. Thin files — few photos, sparse comps — produce wider bands, and we tell you exactly why yours is wide before the human tightens it.
If the model's confidence is below 50, a number would be a guess dressed up as an offer. We'd rather ask for a few more interior photos or a quick call and come back with a band we can actually stand behind.
Yes. Every override is logged with a plain-language reason attached to your file — a bad comp, a hidden repair, an extra bedroom the photos revealed. Ask and we'll walk you through it.
Seller intake
Answer the structured questions and drop your photos. The model drafts a range; a human closer takes it from there.