How It Works
The Style Graph is Glimmer's core intelligence layer. It's a network of your style preferences that grows and sharpens every time you capture a snapshot.
The pipeline
When you capture a snapshot, Glimmer's AI runs a multi-step analysis:
| Step | What happens |
|---|---|
| Screenshot analysis | AI examines the captured image and page URL |
| Product detection | Identifies products, brand, and shop from the page |
| Prototype extraction | Breaks each product into canonical style signals called prototypes |
| Graph connection | Links prototypes that appear together, strengthening co-occurrence edges |
What's a prototype?
A prototype is a normalized style signal. Instead of storing "Anine Bing Camel Linen Blazer," Glimmer decomposes it into reusable traits:
| Dimension | Example |
|---|---|
| Role | outerwear |
| Category | blazer |
| Silhouette | relaxed |
| Color | camel |
| Material | linen |
This normalization means a camel blazer from Anine Bing and one from Sandro reinforce the same style signals in your graph.
Co-occurrence: the graph's edges
When two prototypes appear together repeatedly — say "earth tones" and "relaxed silhouettes" — Glimmer records that co-occurrence. The more you capture items with both traits, the stronger that edge becomes.
These connections power recommendations. If your graph shows a strong link between "minimalist" and "neutral tones," Glimmer knows to surface products that match both.
The 10-snapshot threshold
Glimmer needs at least 10 snapshots to generate meaningful style insights. Before that, the graph is too sparse for reliable patterns. The drawer shows your progress toward this threshold.
After 10 snapshots, you unlock:
- Style Brief generation
- Accurate affinity scoring
- Personalized search results
The more you capture, the more precise everything gets.
Your graph is personal
Every member has their own Style Graph. Your snapshots, prototypes, and co-occurrence data are scoped to your account and never shared with other users.