AI app for marketing · no coding needed
Community expert answer sponsorship studio
Fund useful expert content with transparent editorial boundaries.
Made for: Professional communities and niche publishers

What it does for you
The problem
Helpful expert content is difficult to fund without harming trust.
What it gives you
Editor-approved disclosed sponsorship package
What you give it
Expert-approved answersdisclosed sponsor rules
How it works, step by step
- Match relevant funding topics
- Separate sponsor claims from advice
- Package reviewed sponsored editions
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned editor-approved disclosed sponsorship package 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 Community expert answer sponsorship studio 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 Community expert answer sponsorship studio 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 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 data202 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
Fund useful expert content with transparent editorial boundaries
Confirm the buyer's problem and scope, collect expert-approved answers and disclosed sponsor rules, then follow this sequence: 1. Match relevant funding topics. 2. Separate sponsor claims from advice. 3. Package reviewed sponsored editions. Resolve uncertain cases with qualified reviewers, approve editor-approved disclosed sponsorship package, and measure sponsorship contribution minus expert editorial and distribution 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. No disguised advertising or invented expert endorsements. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Verify product claims and permissions. Distinguish observed campaign results from causal explanations and keep customer data collection authorized. No disguised advertising or invented expert endorsements. 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: No disguised advertising or invented expert endorsements. Implement one approved input format, a bounded representative case set and the first two task modules: match relevant funding topics; separate sponsor claims from advice. Support the third module with operator review: package reviewed sponsored editions. 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
Approved brand material, campaign exports and authorized customer research. Document storage, word processor export, content management systems and approved publishing channels. Pilot with uploads and downloadable drafts before adding write integrations. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Source brief, Editable evidence-linked draft, Approval and publication preview. Use a project list and editorial calendar beside a document editor. Keep original material and supporting passages in a collapsible side panel. Show outline, draft, review and approved stages. Provide tracked edits, comments, version comparisons and an export preview that reflects the final delivery format. Make the task-specific outcome editor-approved disclosed sponsorship package visible beside its evidence, review state and value baseline.





