daisy.
A stylist app I built for myself — to stop guessing in the morning, shop smarter, and feel good in the colors that actually love my face.
a hypothetical system, built for every season.
why I built this
I was feeling meh about my wardrobe. Nothing was wrong with my clothes — they just weren’t working on me, and I couldn’t say why. I didn’t know color analysis was a thing. I asked ChatGPT to look at a selfie and tell me what colors I could wear, fell down the rabbit hole, and landed on soft summer — muted, cool, low contrast. Once I knew that, the wrong-feeling pieces in my closet finally made sense. Going into 2026 I’d made a resolution: this was the year I was going to take control of my wardrobe and actually feel good in what I wear — not just dressed, but pretty. So Daisy isn’t only about making the morning easier. It’s about feeling nice in the mirror at the end of it. The app I wanted from day one: not a generic palette PDF, but a tool that knows my season, my face, and the clothes I actually reach for, and uses that to take the deciding out of getting dressed.
doing the homework
The research was me, in the mirror, with ChatGPT and Claude open in two tabs. Every color analysis quiz, every YouTube swatch test, every blog post on draping. The conclusion was always the same: the system works, but applying it day-to-day in front of your closet is the hard part. The questions I kept hitting weren’t what’s my season? — they were can I wear this top with this bottom?, does this eyeliner fight my coloring?, is this safe to buy?. Those are the questions Daisy tries to answer. I had Claude work out the safe color pairings inside soft summer for me, then built the guides — makeup, metals, sneakers, dresses — around the clothes I actually wear, not a generic soft-summer reader.
putting AI to work
Two AI surfaces shipped first. Olive, the in-app chat stylist — ask her anything outfit-shaped, and she answers from your palette, your guides, your closet. And a face-color analyzer: take a selfie, get back the eight or so colors that actually light up your face, not just your season’s stock palette. The analyzer was the harder one. Soft summer alone is ~127 colors across six families, but only a handful really do the work on my features. The prompt evolved through dozens of selfies — different light, with and without makeup — to land on something that picks colors confidently and quietly, and knows when to say this isn’t your color. Next surface: AI-assisted outfit building, where the model pulls from your closet instead of the catalog.
palette-swappable at the root
Today the tokens are soft summer; tomorrow they swap to deep winter, light spring, soft autumn — same ramp structure, different mood. Three voices in type: Lora bold for display, Lora regular for reading, Caveat for the little handwritten notes. The illustrations are hand-drawn doodles instead of stock photography on purpose — it keeps the app feeling like a friend, not a catalog. The spec card above is the whole system.
loading bloom & other soft tells
Motion is doing real work here: a daisy bloom rotates while AI is thinking, a soft sparkle confirms a saved look, an empty-state bow nods at you when your wishlist is bare. Nothing bouncy, nothing snappy — soft summer in motion form.
what’s on my phone today
Sideloaded right now: a home that pulls today’s styling tip, the weather, and a live color picker (eyedropper any photo to identify the color and check it against your palette); a full palette browser (six families, 127+ colors, every safe pairing); face colors tuned to me; style and makeup guides written for my body and my clothes; Olive the chat stylist; an outfit builder; a wishlist; and a journal. What’s next: AI baked deeper into outfit building (pull from your closet, not just the palette), and the universal version — open the app once, AI reads your face, the whole experience tailors to you. The dream is fewer meh mornings, smarter shopping, and a closet that loves you back.