Is this just an outfit randomizer?

No — the composer uses an LLM stylist judge to score combinations, not just visual similarity. The judge applies real fashion-pairing rules (don't pair a polo with another polo, layer a heavier overlayer when it's cold, prefer occasion-appropriate footwear). Random looks would feel random; these feel like a stylist's pick.

What about formal occasions?

Tap Event in the occasion chip and the composer biases toward your dressier pieces. For high-stakes events where the stakes are too high to trust an AI fully (weddings, work pitches), use the composer as a starting point and adjust manually — that's what override exists for.

Does it learn from what I actually wear?

Yes. Tap 'Wore it' on a day's outfit and that pick gets logged. Skip the tap and the composer assumes the pick wasn't worn. Over weeks the composer's picks get sharper at matching what you actually pull out of the closet, not what the algorithm thinks you should.

Can I plan outfits ahead of time?

Today, no — Outfit of the Day is automatic per-day. Named/saved outfits (e.g. 'Sunday Brunch') are on the roadmap.

Is this a paid feature?

Yes — Outfit of the Day is Pro ($12/month). The free tier covers try-on; the closet, OOTD, and goes-with grid are all Pro features.

Styl10

Outfit of the Day

A look picked from your closet.

Outfit of the Day is the morning shortcut: one composed look from the pieces you actually own, ready before you open the app. Layered like a person dresses, weather-aware, never the same combination twice this week.

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How the pick works

Composed overnight.

The composer runs while you sleep against your closet. It scores combinations — top + bottom + an overlayer when both live in your wardrobe — against occasion, weather, and what you've worn recently. By morning the day's outfit is ready: three pieces with portraits of you wearing each.

Three pieces, not a feed: One look per day, not a scroll of suggestions. Decision fatigue is the actual problem; the composer commits to a pick instead of handing you a buffet.
Weather-aware: Local forecast feeds into the layering decision. A 50°F morning gets a different overlayer than a 75°F morning. Rain in the forecast shifts the footwear tier.
Occasion-aware: Tap Work / Weekend / Date / Event / Travel / Home and the composer re-runs with that context. The default is whatever you tapped last.
Recency tracking: Same shirt twice in a week is fine. Same outfit two days running isn't. The composer remembers the last seven days and varies the rotation accordingly.

Why this beats a manual pick

The math is unforgiving.

A 30-piece closet has roughly 1,500 valid three-piece outfits. You can hold maybe a dozen of those in your head. The composer can score all of them in milliseconds, against weather, occasion, and recency. The morning decision moves from "which pieces talk to each other" — a hard combinatorial question — to "yes or re-roll" — a binary one.

When the pick misses

Three escape hatches.

Stylists miss too — software ones aren't exempt. The interface treats a missed pick as a normal event, not a failure.

Not feeling it: One tap re-rolls the day's pick with fresh randomization. The composer learns from skips and adjusts the next score pass.
Swap a single slot: Tap the top OR the bottom OR the overlayer specifically. The composer keeps the rest of the look and re-picks just that piece.
Override the slot type: Closet item misclassified as outerwear when it's a top? Override the slot from its detail page. The fix carries forward into every future pick.

Real renders, real people

The same engine. Their wardrobe.

Every tile below is an actual Styl10 user wearing actual clothes from actual retailers. No stock photography. No model bait-and-switch.

From Nordstrom
rag & bone Skeleton Navy Cotton Piqué Blazer
From Vuori
Daily Legging
From Gap
Classic Polo Sweater

Questions people ask

Before you try it.

Is this just an outfit randomizer?: No — the composer uses an LLM stylist judge to score combinations, not just visual similarity. The judge applies real fashion-pairing rules (don't pair a polo with another polo, layer a heavier overlayer when it's cold, prefer occasion-appropriate footwear). Random looks would feel random; these feel like a stylist's pick.
What about formal occasions?: Tap Event in the occasion chip and the composer biases toward your dressier pieces. For high-stakes events where the stakes are too high to trust an AI fully (weddings, work pitches), use the composer as a starting point and adjust manually — that's what override exists for.
Does it learn from what I actually wear?: Yes. Tap 'Wore it' on a day's outfit and that pick gets logged. Skip the tap and the composer assumes the pick wasn't worn. Over weeks the composer's picks get sharper at matching what you actually pull out of the closet, not what the algorithm thinks you should.
Can I plan outfits ahead of time?: Today, no — Outfit of the Day is automatic per-day. Named/saved outfits (e.g. 'Sunday Brunch') are on the roadmap.
Is this a paid feature?: Yes — Outfit of the Day is Pro ($12/month). The free tier covers try-on; the closet, OOTD, and goes-with grid are all Pro features.

Two photos. One minute.

See yourself in it first.

Three free try-ons to start. Upload your face and body photos once. Paste any retailer URL. Decide with your eyes, not your imagination.

Start Pro · $12/mo →

We never train on your photos. Delete anytime.

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