AI app for product development · no coding needed
TasteMatch Beer Curator
A taste profile that learns from every rating and photo, not just purchase history, to predict enjoyment before the box ships.
Made for: Craft beer enthusiasts at subscription box services
What it does for you
The problem
Subscription boxes send popular picks that ignore individual taste, leaving drinkers with bottles they will not finish.
What it gives you
Personalised beer selection and taste profile
What you give it
Personal taste notesbeer ratingslabel photos
How it works, step by step
- Capture taste preferences in free text
- Match beers to profile using sensory models
- Rate beers with text or photo
- Update profile after each rating
- Avoid repeat beers unless requested
- Generate a monthly box recommendation
What you see on screen
- Taste profile
- beer library
- box preview
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 TasteMatch Beer Curator 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 TasteMatch Beer Curator 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 Cloudflare18 KB
- prompt-vps.mdThe same build on your own server (Docker)18 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria9 KB
- demo/index.htmlThe working demo on sample data196 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 craft beer enthusiasts at subscription box services, turn personal taste notes, beer ratings and label images into a personalised beer selection and taste profile. Address the recurring problem: subscription boxes send popular picks that ignore individual taste, leaving drinkers with bottles they will not finish. The value hypothesis is a more satisfying, curated box with less waste; the pilot must establish whether that benefit is real.
Complete a taste quiz, review initial beer matches, receive a box, rate each beer, let the model update the profile, preview the next box, and confirm the order. Start with personal taste notes and beer ratings and finish with a personalised beer selection and taste profile.
How the AI works
Use language models to interpret taste descriptions and ratings, and vision models to read label images. Match beers to profiles using a fine-tuned recommendation model. A human curator checks the final box selection for quality and availability before dispatch.
Safeguards
Limit profile edits to the owner, require human approval for any box before dispatch, and do not recommend beers outside the user's stated dietary or alcohol limits.
What to build first
First cut: craft beer subscribers, one use case for monthly boxes, modules for taste quiz and box curation, manual review of every box by a human curator.
What it can connect to
Connect to brewery inventory systems, payment gateways, and shipping carriers, starting with a simple CSV feed.
The screens in detail
Use a profile dashboard for preferences, a searchable beer library with filters, and a box preview showing the four selected beers with predicted match scores. Let users rate each beer with words or a photo. Display a learning progress indicator. Provide a reorder button for favourites. In this product, the first view is taste profile, followed by beer library and box preview.
