AI app for education · no coding needed
Learning resource organizer
Curriculum-aware discovery with visible ownership and reuse permissions.
Made for: Curriculum leads at training organizations
What it does for you
The problem
Useful materials are scattered and difficult to reuse.
What it gives you
Curated searchable learning resource library
What you give it
Licensed teaching resourcescurriculum metadata
How it works, step by step
- Tag learning objectives
- Detect duplicates
- Record licenses
- Suggest related resources
- Flag stale materials
- Manage educator collections
What you see on screen
- Resource search
- curriculum filters
- ownership panel
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 Learning resource organizer 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 Learning resource organizer 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 Cloudflare22 KB
- prompt-vps.mdThe same build on your own server (Docker)22 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data195 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 curriculum leads at training organizations, turn licensed teaching resources and curriculum metadata into curated searchable learning resource library. Address the recurring problem: useful materials are scattered and difficult to reuse. The pilot measures search success and resource reuse against the buyer's current method, before the larger build.
Import a limited collection, define canonical fields, suggest tags or mappings, review uncertain records, publish approved items, search and reuse them, and request periodic owner updates. Start with licensed teaching resources and curriculum metadata and finish with curated searchable learning resource library.
How the AI works
Suggest classifications, semantic tags, duplicate candidates and field mappings. Preserve original values. Use explicit validation for identifiers and units. Human stewards approve ambiguous merges and factual changes.
Safeguards
Use educator-reviewed content and answer keys. Apply appropriate access and consent for learner records and distinguish completion from demonstrated learning. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
What to build first
Begin with curriculum leads at training organizations and one recurring use case. Build the first two modules: tag learning objectives; detect duplicates. Provide operator assistance for the third module: record licenses. Deliver curated searchable learning resource library through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
What it can connect to
Learning resources, course portals and educator review processes. Source systems, catalog exports and cloud file storage. Start with reversible CSV or file imports and validate identifiers before any direct writes. These are candidate integration categories, not verified supported connectors.
The screens in detail
Use a searchable table or visual gallery with filters for the domain’s important attributes. Open each item into a detail drawer containing source records, ownership and history. Put proposed merges and field changes in a separate review queue. Provide a preview before any bulk export. In this product, the first view is resource search, followed by curriculum filters and ownership panel.
