AI app for customer support · no coding needed
Service resolution package marketplace
Monetize specialist expertise while improving difficult-case completion.
Made for: Independent specialist support agencies
What it does for you
The problem
Generalist providers cannot resolve niche cases economically.
What it gives you
Customer-authorized specialist resolution referral
What you give it
Anonymized case requirementsspecialist-declared services
How it works, step by step
- Match expertise to bounded cases
- Compare approved service packages
- Track accepted handoffs
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned customer-authorized specialist resolution referral 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 Service resolution package marketplace 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 Service resolution package marketplace 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 Cloudflare30 KB
- prompt-vps.mdThe same build on your own server (Docker)30 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria17 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
Monetize specialist expertise while improving difficult-case completion
Confirm the buyer's problem and scope, collect anonymized case requirements and specialist-declared services, then follow this sequence: 1. Match expertise to bounded cases. 2. Compare approved service packages. 3. Track accepted handoffs. Resolve uncertain cases with qualified reviewers, approve customer-authorized specialist resolution referral, and measure resolved-case contribution margin minus handoff and quality 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 technical niche; explicit consent before sharing case data. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Keep customer account access scoped. Escalate missing evidence and consequential exceptions to staff. Review quality alongside any speed measure. One technical niche; explicit consent before sharing case data. 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 technical niche; explicit consent before sharing case data. Implement one approved input format, a bounded representative case set and the first two task modules: match expertise to bounded cases; compare approved service packages. Support the third module with operator review: track accepted handoffs. 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
Support inboxes, help centers, order records and customer feedback systems. 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 customer-authorized specialist resolution referral visible beside its evidence, review state and value baseline.
