Complete AI Training

AI app for healthcare · no coding needed

Clinic information assistant

Clinic-specific administrative answers with immediate clinical handoff.

Made for: Practice managers at independent dental clinics

What Clinic information assistant looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Staff repeatedly answer routine service and policy questions.

What it gives you

Approved administrative answers and handoffs

What you give it

Clinic-approved service informationadministrative policies

How it works, step by step

  1. Answer opening-hour questions
  2. Explain booking steps
  3. Retrieve fees with dates
  4. Route clinical questions
  5. Support approved languages
  6. Track knowledge gaps

What you see on screen

  • Patient chat
  • source library
  • staff handoff

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 Clinic information assistant 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 Clinic information assistant 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 Cloudflare23 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 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

For practice managers at independent dental clinics, turn clinic-approved service information and administrative policies into approved administrative answers and handoffs. Address the recurring problem: staff repeatedly answer routine service and policy questions. The pilot measures correct answers and staff interruptions against the buyer's current method, before the larger build.

Add an approved collection, assign source owners and access rules, test representative questions, let users ask questions, retrieve supporting passages, answer or request clarification, and hand off unresolved cases with their context. Start with clinic-approved service information and administrative policies and finish with approved administrative answers and handoffs.

How the AI works

Retrieve permitted passages and generate answers constrained to those sources. Use structured rules for transactional facts. Detect missing context and refuse to invent unsupported details. Store reviewer corrections for evaluation and controlled knowledge updates.

Safeguards

Begin with administrative scope or clinician-reviewed material. Minimize sensitive patient data, restrict access and obtain required organizational review before connecting clinical systems. 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 practice managers at independent dental clinics and one recurring use case. Build the first two modules: answer opening-hour questions; explain booking steps. Provide operator assistance for the third module: retrieve fees with dates. Deliver approved administrative answers and handoffs 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

Clinic-approved content and administrative exports. Clinical integrations require separate assessment. Approved knowledge repositories, websites, service desks and staff messaging systems. Validate access inheritance and use read-only ingestion for the initial deployment. These are candidate integration categories, not verified supported connectors.

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. In this product, the first view is patient chat, followed by source library and staff handoff.