The Experiment: Fashion is subjective. Or is it? I digitized my wardrobe (took photos of every shirt, pant, and shoe I own—152 items) and fed the database to ChatGPT. Every morning for 7 days, I asked it: "What should I wear today? Here is the weather and my schedule."
> DAY 1: "BUSINESS CASUAL"
Reality: It looked... good? It was basically the Steve Jobs look but with lighter pants. I felt smart.
> DAY 2: THE RAINY DAY ERROR
Reality: FAILURE. White linen pants in the rain? Suede boots in mud? The AI understands "Cozy" visually (white implies soft/clouds) but ignored the utility (mud stains).
> DAY 3: THE "BOLD" CHOICE
Reality: It tried to mix "Formal" (attractive) with "Casual" (summer) and "Bold" (prints). I looked like a Zoom call malfunction where the person stands up and reveals they aren't wearing pants. I refused to leave the house.
> DAY 4: THE COLOR THEORY SUCCESS
Reality: This was actually amazing. I would never have paired Yellow and Navy myself, but they are complementary colors. The AI knows color theory better than I do. I got 3 compliments.
> THE CLOSET DIGITIZATION PROBLEM
The hardest part of this wasn't wearing the clothes; it was inventory management.
I had to tell the AI: "Item #42 is in the laundry."
If I forgot, it would suggest dirty clothes. It made me realize that the "Smart Closet" from the movie Clueless requires a full-time data entry clerk (me).
> CONCLUSION
AI is a surprisingly good stylist if you give it constraints.
- Ask for "Color Theory": It wins.
- Ask for "Vibes": It crashes.
- Ask for "Weather Utility": It fails (it doesn't know Suede hates water).
I will keep using it for color combinations, but I will never let it pick my shoes on a rainy day again.