A stylist that learns your closet, not the internet's.
Aadornly starts with sensible defaults, then bends toward the outfits you save, the outfits you wear, and the ones you keep skipping. Preferences live at the closet level, not a trend feed.
Real signals, not personality quizzes
Aadornly never asks you to pick between six mood boards. It reads three concrete signals over time: what you save, what you mark as worn, and what you keep skipping. That is enough to know the closet.
- A saved outfit is a strong preference vote for its colour, silhouette, and formality pattern
- A worn outfit is a stronger vote, because it survived the mirror check
- A skipped outfit is a diagnostic - the model asks itself what made it wrong
Taste at the pattern level
The preferences that get stored are patterns, not specific outfits: warm neutrals over cool, tailored over slouchy, silk accents rare rather than constant. This means the stylist stays right even after a wardrobe overhaul.
Reset any time
A season change, a job change, or a life change deserves a taste reset. Aadornly lets you clear the preference model with one action and start fresh, keeping the closet intact.
Say what you never want to see - "no cropped trousers", "no bright pinks" - and the stylist honours the rule permanently.
Separate preference profiles for summer, monsoon, and winter, so a wool suggestion does not surface in July.
A weekly review shows the two or three preference signals learned, and lets you accept, adjust, or dismiss each one.
Preferences influence only your suggestions. They are never used across accounts or shared with brand partners.