Complete AI Training

AI app for writers · no coding needed

Book-to-workshop productization lab

Build a complementary education business from owned work.

Made for: Authors teaching professional skills

What Book-to-workshop productization lab looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Books contain expertise but lack teachable paid workshop structure.

What it gives you

Author-and-educator-reviewed workshop prototype

What you give it

Author-owned chaptersreviewed learning objectives

How it works, step by step

  1. Convert concepts into practice tasks
  2. Design facilitation materials
  3. Test participant application
  4. Compare the reviewed result with the recorded baseline and value assumptions
  5. Capture corrections and named-owner approval before consequential use
  6. Export a versioned author-and-educator-reviewed workshop prototype with source references and unresolved questions

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 Book-to-workshop productization lab 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.

Sign in Become a member

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 Book-to-workshop productization lab with you.

Have Nexibeo build it

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 build3 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
  • prompt-vps.mdThe same build on your own server (Docker)26 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
  • demo/index.htmlThe working demo on sample data198 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

Build a complementary education business from owned work

Confirm the buyer's problem and scope, collect author-owned chapters and reviewed learning objectives, then follow this sequence: 1. Convert concepts into practice tasks. 2. Design facilitation materials. 3. Test participant application. Resolve uncertain cases with qualified reviewers, approve author-and-educator-reviewed workshop prototype, and measure workshop contribution minus facilitation authoring and support costs against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Specialist review where needed; no individualized regulated advice. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve author voice, source attribution, quotation accuracy and usage permissions. Authors approve substantive changes and publication scope. Specialist review where needed; no individualized regulated advice. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: Specialist review where needed; no individualized regulated advice. Implement one approved input format, a bounded representative case set and the first two task modules: convert concepts into practice tasks; design facilitation materials. Support the third module with operator review: test participant application. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Author-owned manuscripts, authorized interviews and permitted research sources. Learning portals, employee or member directories and completion exports. Validate standards and identity requirements before promising native LMS compatibility. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Goals and source material, Interactive reviewed practice, Learner reflection and educator review. Provide a learner home with the next useful lesson, a practice activity and progress evidence. Give authors a source-linked course editor and assessment review queue. Supervisors see completed tasks and explicit sign-offs. Use short modules that work on mobile as well as desktop. Make the task-specific outcome author-and-educator-reviewed workshop prototype visible beside its evidence, review state and value baseline.