Complete AI Training

AI app for government · no coding needed

Government reusable service component exchange

Reduce duplicate public software development.

Made for: Public digital transformation offices

What Government reusable service component exchange looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Agencies rebuild similar workflow components independently.

What it gives you

Technical-owner-approved reuse shortlist

What you give it

Openly licensed or agency-approved componentsrequirements

How it works, step by step

  1. Match functional requirements
  2. Compare adoption dependencies
  3. Prepare reuse implementation briefs
  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 technical-owner-approved reuse shortlist 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 Government reusable service component exchange 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 Government reusable service component exchange 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 build2 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 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

Reduce duplicate public software development

Confirm the buyer's problem and scope, collect openly licensed or agency-approved components and requirements, then follow this sequence: 1. Match functional requirements. 2. Compare adoption dependencies. 3. Prepare reuse implementation briefs. Resolve uncertain cases with qualified reviewers, approve technical-owner-approved reuse shortlist, and measure avoided rebuild cost minus adaptation security and maintenance 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. One component class; licensing and security reviewed before deployment. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve official source versions, accessibility and audit records. Confirm agency-specific procurement, records and data handling requirements during discovery. One component class; licensing and security reviewed before deployment. 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: One component class; licensing and security reviewed before deployment. Implement one approved input format, a bounded representative case set and the first two task modules: match functional requirements; compare adoption dependencies. Support the third module with operator review: prepare reuse implementation briefs. 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

Official publications, agency document stores and approved service workflows. Permitted opportunity feeds, customer profiles, calendars and CRM exports. Keep initial outreach or applications as user-reviewed drafts. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Verified offer or need profiles, Explainable match comparison, Mutual approval and handoff. Open with a filterable opportunity feed and clear fit explanations. Each profile shows source evidence, eligibility conditions and missing information. Keep saved, rejected and needs-review states. Include a deadline or next-action view without hiding the basis of recommendations. Make the task-specific outcome technical-owner-approved reuse shortlist visible beside its evidence, review state and value baseline.