Dressed We've all been there. Full wardrobe, zero outfits. Not because the clothes aren't there butDressed We've all been there. Full wardrobe, zero outfits. Not because the clothes aren't there but
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Dressed
We've all been there. Full wardrobe, zero outfits. Not because the clothes aren't there but because our brains just won't make the combinations.
Dressed fixes that. Upload your clothes, pick any piece you want to wear, and the AI builds a complete outfit around it using what's already in your wardrobe in seconds. It shows the look on a 360° mannequin so you can see it before you commit. Refresh for a new combo, save your favourites, share with friends. Your personal stylist, built from clothes you already own.
How I Used Stitch
I wrote my entire design vision as a structured document; color palette, typography, all 12 screens, animations, and uploaded it directly into Stitch along with my logo SVG. Then I dropped one detailed prompt and watched Stitch stream the full app live onto the canvas. Screens that would've taken days were done in minutes.
Where it really helped was iteration. I used Stitch's in-place AI edits to refine individual elements. Click, describe the fix, done. No rebuilding anything. For motion I leaned into Stitch's native HTML canvas animations.
Stitch collapsed the gap between idea and prototype completely. I came in with a concept and no team. I'm leaving with something I'm genuinely proud of. View the stitch file here. https://stitch.withgoogle.com/preview/15381560057545558746?node-id=4b237b15311f4741bdd6e8583cbcba88
Full app walkthrough in the attached Loom video. https://www.loom.com/share/6c15ca18809c425ba0b961b9edfebab5
Rishi's avatar
Wahiza's avatar
Thank you!😊
Molly's avatar
Wow, Wahiza, "full wardrobe, zero outfits" is such a universally relatable problem space! Building an AI personal stylist that generates outfits from clothes users already own is a brilliant concept, and showcasing the final looks on a 360° mannequin is fantastic UX.
Fantastic...

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