App Store
Version 2.50.29 · 2026-09-09
We've been fine-tuning the app with UI improvements and bug fixes!
Too little checked to say Store information only. We haven’t analysed this app or read its reviews yet.
Not yet tested.
The store currently lists version 2.50.29, updated 2026-09-09.








Store screenshots supplied by the developer.
Your AI outfit maker.
Your closet — now you can talk to it.
Pronti is an AI outfit maker and closet organizer that helps you get dressed faster using the clothes you already own. With PAI, your closet-aware AI stylist, you can chat about outfits, plan what to wear, and get real fashion advice — grounded in your actual wardrobe.
It’s like having a stylist in your pocket… or Cher’s iconic closet, upgraded with AI.
An AI stylist that uses your actual wardrobe
PAI isn’t a generic fashion chatbot. It understands your closet items, saved outfits, and style history, so when you ask what to wear, the advice actually makes sense.
You can ask PAI things like:
What can I wear today with my black blazer?
Style my white sneakers for dinner.
Help me pack outfits for a weekend trip.
This is AI you can talk to about outfits — powered by your own wardrobe.…
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
No review analysis published for this app.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
No package has been scanned for this app, so nothing is published about what it ships. That is an absence of evidence, not a finding.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
Not yet tested. No analysis has been run for this app, so there is no version or date to report.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
We've been fine-tuning the app with UI improvements and bug fixes!
outfit-makerWhat the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
From the store listing. Billing terms are read from each purchase’s name — the stores don’t publish them — so treat them as a strong hint, not a disclosure.
These are really on sale; we just can’t tell from the name whether they recur.
Not yet tested. No analysis has been published for this app, so there is no method to describe for it yet. A missing label is not a clean bill of health: it means nothing has been read, not that nothing is wrong.
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