AI app for government · no coding needed
Public service boundary explainer
Explain who handles a service request.
Made for: Local-government contact teams

What it does for you
The problem
Residents confuse responsibilities of neighboring agencies.
What it gives you
Staff-reviewed referral guidance
What you give it
Approved service responsibility documents
How it works, step by step
- Map stated boundaries
- Link official contacts
- Flag unclear cases
- Link proposed outputs to original source records
- Capture reviewer corrections and approval
- Export a versioned staff-reviewed referral guidance
What you see on screen
- Brief and sources
- Public service boundary explainer
- Review and delivery
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 Public service boundary explainer 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 Public service boundary explainer 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 build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 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 local-government contact teams, turn approved service responsibility documents into staff-reviewed referral guidance. Address this specific problem: residents confuse responsibilities of neighboring agencies. The aim: explain who handles a service request. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.
The buyer creates a project, supplies approved service responsibility documents, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final staff-reviewed referral guidance before use. Retain source links and a version history for the next cycle.
How the AI works
AI assists these bounded tasks: map stated boundaries; link official contacts; flag unclear cases. Use only approved service responsibility documents and preserve uncertainty in staff-reviewed referral guidance. 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
Preserve official source versions, accessibility and audit records. Confirm agency-specific procurement, records and data handling requirements during discovery. One organization, one defined input format and one representative pilot batch using approved service responsibility documents. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. 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 organization, one defined input format and one representative pilot batch using approved service responsibility documents. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: map stated boundaries; link official contacts. Support the third task through an assisted review queue: flag unclear cases. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of staff-reviewed referral guidance. 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
Official publications, agency document stores and approved service workflows. Approved knowledge repositories, websites, service desks and staff messaging systems. Validate access inheritance and use read-only ingestion for the initial deployment. Begin with uploads and exports of approved service responsibility documents. 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
Give end users a simple search or conversation surface with short answers and expandable citations. Administrators get source status, unanswered questions and handoff queues. Show the source date beside relevant answers. Keep conversation context available to the staff member receiving an escalation. Open with brief and sources; move into public service boundary explainer for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.





