AI app for education · no coding needed
Textbook Match and Grade
Photos of used textbooks become graded listings matched to the right curriculum edition.
Made for: Parents and school district bookstore managers

What it does for you
The problem
Used textbooks sit in homes and bookstores while other families need the exact edition for the coming semester.
What it gives you
Graded textbook listings, matched buyer offers and completed sale records
What you give it
Smartphone photos of used textbooksschool curriculum lists
How it works, step by step
- Extract ISBN, title and edition from a photo
- Grade condition from spine and highlight analysis
- Match listings to school curriculum lists
- Suggest pickup times and shipping labels
- Confirm condition on delivery
- Process payment and release funds
What you see on screen
- Photo upload
- listing gallery
- match feed
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 Textbook Match and Grade 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 Textbook Match and Grade 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 Cloudflare20 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 data194 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 parents and school district bookstore managers, turn smartphone photos of used textbooks into graded, matched listings with local demand signals. Address the recurring problem: used textbooks sit in homes and bookstores while other families need the exact edition for the coming semester. The value hypothesis is a faster, more reliable swap with less manual searching; the pilot must establish whether that benefit is real.
Upload a photo, extract book details, grade condition, match to curriculum, list for relevant courses, receive an offer, and complete the sale with confirmation. Start with smartphone photos of used textbooks and finish with matched, graded listings and completed transactions.
How the AI works
Use vision models to read ISBNs and grade physical condition, and language models to interpret curriculum lists and match requests. Keep edition and course data in structured fields. Validate matches through deterministic checks. A human moderator reviews disputed grades before any refund or penalty is applied.
Safeguards
Limit listings to verified school districts, require photo confirmation on delivery, cap dispute refunds, and never share personal addresses without both parties consenting.
What to build first
One school district, one semester, photo upload and listing modules only, with manual matching by a coordinator.
What it can connect to
School district curriculum databases, payment gateways and shipping label APIs, starting with a simple CSV import of course lists.
The screens in detail
Use a simple upload screen with a camera prompt, a gallery grouped by school and course, and a match feed showing nearby buyers. Let users filter by edition and condition. Display pending, matched and completed states. Provide a chat window for pickup coordination. In this product, the first view is photo upload, followed by listing gallery and match feed.





