Manual looks capture personal taste
Users know their own favorites, fit preferences, and social context. Manual look building preserves that taste instead of forcing every decision through automation.
AI recommendations reduce blank-page friction
Recommendation systems are most helpful when a user does not want to start from scratch. Weather, time, occasion, and wear history can turn a closet into immediate options.
The loop matters more than the mode
When manual looks, AI suggestions, favorites, dislikes, and wear history feed each other, the product becomes smarter without removing user control.