AI app for product development · no coding needed
Personal Jewellery Stylist
A taste profile that sharpens with every monthly delivery and a network of small workshops that can fulfil one-off commissions.
Made for: Women in their 30s and 40s who buy jewellery monthly
What it does for you
The problem
Subscription jewellery services ignore individual taste and force mass-produced pieces.
What it gives you
One jewellery piece monthly, taste profile, design briefs, wear report
What you give it
Photos of existing jewelleryPinterest boardsvoice noteswear feedback
How it works, step by step
- Extract taste signals from photos and voice notes
- Build and update a taste map
- Match profile to workshop inventory
- Generate design briefs for commissions
- Track wear and return signals
- Manage shipping and quality checks
What you see on screen
- Taste profile
- monthly match
- piece detail
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Personal Jewellery Stylist with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Personal Jewellery Stylist with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare21 KB
- prompt-vps.mdThe same build on your own server (Docker)20 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data193 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For women in their 30s and 40s who buy jewellery monthly, turn photos of existing collections, Pinterest boards and voice notes into one commissioned or curated piece shipped monthly. Address the recurring problem: subscription jewellery services ignore individual taste and force mass-produced pieces. The value hypothesis is a precise, personal match that reduces returns and increases wear; the pilot must establish whether that benefit is real.
Share initial signals, receive taste profile, review monthly match, approve or return piece, send feedback, receive next month's piece, and track wear history. Start with photos, Pinterest boards and voice notes and finish with one shipped piece and a refined taste profile.
How the AI works
Use vision models to read jewellery style from photos and voice-to-text to convert voice notes into structured briefs. Match profiles to workshop inventory using structured attributes. A human stylist reviews each match and a quality checker verifies the piece before shipping.
Safeguards
Limit data collection to explicit user consent. Do not share personal style data with third parties. Ensure all pieces meet quality standards before shipping.
What to build first
Start with 20 women in one city, one workshop network, taste profile module and monthly match module. Manual review of each match by a stylist.
What it can connect to
Pinterest API, Instagram API, workshop inventory systems, shipping carriers, payment gateway.
The screens in detail
Use a card-based dashboard for profile signals, a large central panel for the monthly match, and a right-hand panel for piece details, materials and occasion. Let users approve or return with one tap. Display wear history and preference evolution. Provide a chat interface for voice notes and feedback. In this product, the first view is taste profile, followed by monthly match and piece detail.
