work / f-try · Prototype
F-Try
Photograph your wardrobe once, get outfits with reasons.
Week of Claude Maxing
Play with it
A pure-frontend replica with mock data: nothing is saved, nothing leaves the page. The real app is richer; this is the feel of it.
loading the demo…
The problem
A full wardrobe and the daily feeling of nothing to wear.
What it does
AI reads each garment from one photo, then composes outfits from colour theory, the Korean rule of three and 12-season personal colour analysis.
The thinking
Target user
People with a full wardrobe and daily outfit paralysis, who want a stylist’s logic without a stylist’s bill.
Pain points
- Deciding what to wear costs willpower every morning
- Clothes get forgotten because no one can see their whole wardrobe at once
- Style advice online is generic, not about your actual clothes
Gap in the market
Photograph each garment once and get outfits composed from real colour science against your own wardrobe, with biometric data treated as sensitive from day one.
AI + tooling
- Claude vision (garment reading)
- Claude Code (build)
- Supabase (RLS)
Frameworks
- 12-season personal colour analysis
- Colour theory pairing + the Korean rule of three
- Choice architecture: three good outfits beat an infinite wardrobe scroll
- Privacy by design under the Australian Privacy Act (biometric data is sensitive)
Success metrics
- TBD: prototype stage, outfit acceptance rate once piloted
Biometric privacy is a design input, not an afterthought.