Cheyenne Dominguez Annapolis, MD 22H AGO

I built the M(AI)VENS Closet Lab, an AI-powered wardrobe stylist that helps women create more outfits using clothes they already own. I’m the founder of M(AI)VENS, a community helping women build confidence with AI. The idea was inspired by a friend who completed a 30-day challenge to restyle pieces from her closet instead of buying new clothes. I wondered whether AI could take the idea further by helping people rediscover what they already own, style overlooked pieces, pack for a trip, and pull outfits together more easily in everyday life. I have no coding experience, so I used ChatGPT and Lovable to build the app. Step-by-step: 1. I described the experience I wanted in ChatGPT: users would upload photos of their clothes, organize them in a visual wardrobe, select one or more pieces they wanted to wear, and ask an AI stylist to create complete outfits using their own clothing. I asked ChatGPT to turn the idea into a detailed build prompt for Lovable. 2. I pasted the ChatGPT prompt into Lovable. It created a mobile-friendly app with user accounts, photo uploads, clothing categories, descriptive tags, a visual closet gallery, and a “Style Me” feature. 3. I photographed 16 pieces from my personal wardrobe, including tops, pants, dresses, jackets, and shoes. I uploaded and categorized each item so I could test the app with a varied but manageable wardrobe. 4. I selected a pair of hot pink wide-leg pants and clicked “Style Me.” When the feature returned an error, I described exactly what happened in a new Lovable prompt and asked it to fix the problem. Testing also revealed that users needed to edit items after uploading them, so I prompted Lovable to add that capability. 5. I refined the AI’s approach to creating complete outfits. The first version treated selected clothes as the entire outfit, but I wanted each selection to serve as an anchor. I used ChatGPT to write a more precise prompt instructing Lovable to search the user’s full closet for complementary pieces. For example, if someone selects pants, the app recommends a top, shoes, and an optional jacket for each ensemble. Whenever possible, it returns three complete outfit suggestions, each with an outfit name, occasion, pieces used, and styling note. 6. I selected the hot pink pants again. This time, the app generated three complete looks using my uploaded clothing: a matching pink suit, a casual outfit with loafers, and a layered look with a white blouse, heels, and a denim jacket. 7. I tested and published the result. The working prototype took approximately five or six prompts across two days, mainly because I reached Lovable’s daily free-credit limit. Now I have a working tool that I find highly valuable and useful.