I built a mobile perfume guide that turns scent notes into personal suggestions
I wanted a calmer way to explore fragrance than scrolling a shop catalogue. I used ChatGPT to shape prompts and Codex to build Scentory, a mobile perfume discovery demo with a collection, scent profile, and local note-based suggestions. The finished app keeps its data local and uses fictional catalogue names and prices.
What made it work
- I used ChatGPT to develop prompts and Codex to vibe code.
- When the implementation did not match the illustrations ChatGPT created, I refined the prompts and tried again until the result matched my direction.
The screens
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Yours goes up next to @emmaof’s as a vibe off, and @emmaof is told. Credit for the idea stays with them.
How it was madeThe prompt, tools, what’s left to make it real.
What’s left to make it real
The next step would be to add a small backend, such as a real perfume library and real-time updates to prices, perfumes, and other details.
- Made with
- ChatGPT, Codex, React, Vite, plain CSS
- How
- I used ChatGPT to develop the prompts and Codex to build the React and Vite app with plain CSS. I refined the prompts through several visual iterations, while localStorage keeps the demo collection and profile in the browser.
- The prompt
- Build a mobile-first perfume discovery app with a local catalogue, scent profile, collection, and transparent recommendation logic. Preserve a romantic, elegant visual style using soft pink, lavender, cream, and subtle gold accents; do not add a backend.In ChatGPT, Codex, React, Vite, plain CSSModel GPT-6 (Codex)
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