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Style

Style gives your assistant a grounded view of your wardrobe.

With Fluent connected, the assistant can work from what you own, how things fit, what you like, and where the real gaps are before recommending an outfit or a purchase.

What Style Knows

  • closet items, categories, colors, sizes, and status
  • fit and visual descriptors
  • product photos, fit photos, and detail photos
  • style preferences and calibration notes
  • wardrobe gaps, redundancies, and useful bridge pieces

What You Can Ask

For purchase decisions:

"Should I buy this jacket, given what I already own?"

Other useful asks:

  • "What do I have in outerwear?"
  • "Add this new shirt I just bought."
  • "How does this compare to what I already own?"
  • "What are the weak spots in my wardrobe?"
  • "What should I buy next?"

Purchase Analysis

Purchase analysis works best when you provide item details and an image. A product page URL alone is often not enough for a strong visual comparison.

Fluent can help your assistant compare the candidate against your closet and style profile. The result should help you decide whether to buy, wait, or skip. It should not imply checkout or autonomous purchase completion.

Closet And Wardrobe Work

Fluent can help the assistant:

  • list or inspect closet items
  • add new items
  • archive items without losing history
  • identify evidence gaps
  • reason about overlap, coverage, and missing pieces
  • prioritize what would improve the wardrobe most

First-Time Setup

Style setup can start with a small calibration pass:

  • a few anchor items
  • your current closet shape
  • the first signals that matter for purchase analysis
  • any obvious fit or preference boundaries

You can improve the profile over time instead of completing a perfect closet import on day one.

Developer Reference

For exact Style tools and resources, use:

The current structured purchase analysis surface is backed by style_render_purchase_analysis.

Fluent is in early access and open source