AI app for education · no coding needed
Lab preparation rehearsal portal
Practice procedural reasoning before supervised physical labs.
Made for: College laboratory instructors

What it does for you
The problem
Students arrive without understanding equipment setup procedures.
What it gives you
Instructor-reviewed readiness report
What you give it
Approved lab manualsequipment photos
How it works, step by step
- Build setup scenarios
- Ask sequencing questions
- Explain approved precautions
- Capture student reasoning
- Flag misconceptions
- Export readiness notes
What you see on screen
- Lab scenario
- Setup rehearsal
- Instructor review
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 Lab preparation rehearsal portal 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 Lab preparation rehearsal portal 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 Cloudflare23 KB
- prompt-vps.mdThe same build on your own server (Docker)23 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data197 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 college laboratory instructors, turn approved lab manuals and equipment photos into instructor-reviewed readiness report. Address this specific problem: students arrive without understanding equipment setup procedures. The aim: practice procedural reasoning before supervised physical labs. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.
The buyer creates a project, supplies approved lab manuals and equipment photos, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final instructor-reviewed readiness report before use. Retain source links and a version history for the next cycle.
How the AI works
Generate scenarios only from instructor-approved procedures. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.
Safeguards
Use educator-reviewed content and answer keys. Apply appropriate access and consent for learner records and distinguish completion from demonstrated learning. One experiment; no unsupervised hazardous instructions. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.
What to build first
Costed pilot: One experiment; no unsupervised hazardous instructions. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: build setup scenarios; ask sequencing questions. Support the third task through an assisted review queue: explain approved precautions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of instructor-reviewed readiness report. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.
What it can connect to
Learning resources, course portals and educator review processes. Learning portals, calendar scheduling and authorized session exports. Make recording, sharing and retention controls explicit in the product. Begin with uploads and exports of approved lab manuals and equipment photos. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
The screens in detail
Use a scenario catalog with clear goals and difficulty settings. The main session area supports text, optional voice and visible context. Follow it with a replay or decision map, annotated feedback and a next-practice plan. Facilitators can author scenarios and review participant-selected sessions. Open with lab scenario; move into setup rehearsal for the detailed task; finish in instructor review for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.





