Product · Review & QA
Automatic QA on every image, at any volume.
Turn it on, and the AI reviewer checks each result against your model, your prompt, and every garment in the look. Pass, or retry with the reason attached — no hand-reviewing required.
result #58976
10 of 10 passedCropped jacket
Denim jeans
Approved into your library.
The question set
Every image answers the same questions.
The AI reviewer compares each output to the inputs it was generated from. With multiple garments in a look, each one is reviewed on its own.
The model
Is this the same model?
Face, hair, and features are compared to the avatar reference.
The prompt
Is this the shot that was asked for?
Pose, framing, and scene are compared to the final prompt.
Each garment
Is the product true to its reference?
Every garment in the look is checked against its own reference image.
The loop
Rejected work retries itself.
A failed check comes back with a reason. The retry carries it into the next attempt, and the approved take replaces the rejected one. This is the same look from the review above, retried and approved.
Rejected
ApprovedHow you run it
One reviewer, four ways in.
Toggle QA on any run, or run it on anything after the fact. Studio, the agent, the API, and the MCP all reach the same reviewer.
Enterprise
Your reviewers' checklist, automated.
On enterprise plans, we tune the question set to your catalog and your standards. The checks your team runs by eye today become questions every image has to answer, at any volume.
- Logo crisp, unwarped, correctly placed
- Neckline sits exactly as the flat
- No jewelry unless the brief specifies it
- Hosiery and footwear follow the styling guide
Example checks. Yours are written with our team from your existing review standards.
Review & QA FAQ
How automated review behaves inside Uwear production workflows.
An AI reviewer compares each output to its inputs: the model is checked for avatar consistency, the shot is checked against the final prompt, and every garment in the look is checked against its own reference for fit, colors, length, and details. Every answer comes back with a written reason.
Turn it on at the generation level so every result is reviewed as it lands, run it on demand from Studio, or queue it through the API and MCP. Agents can queue QA and read verdicts as part of their own workflows.
No. A separate AI reviewer assesses whether the inputs match the output, so it scales with your volume and never gets tired. Your team still reviews in Studio on top of it; QA just makes sure the obvious failures never reach them.
The verdict is stored with the failing check and its reason. Retry the image with that reason attached, and the approved take replaces the rejected one. You can also allow automatic QA-triggered retries per run.
Yes, on enterprise plans. We tune the AI reviewer’s question set to your catalog and standards, so the checks your team runs by eye today become questions every image has to answer.
Put a reviewer on every run.
Bring one catalog workflow. We'll wire QA into it, with your questions.
Existing customer? Log in to Studio
Pairs with Art Direction · Asset Library · MCP
