AI app for product development · no coding needed
Live interface change review workbench
Reduce hand-coded interface work while keeping every change reviewable and reversible.
Made for: Product teams and designers who need to change a live app's user interface without hand-coding every edit
What it does for you
The problem
Interface changes require hand-coding, mockups drift from the real product, and reviewers cannot test changes safely before they ship.
What it gives you
Reviewer-approved interface changes linked to pull requests
What you give it
Running appcomponent librarydesign tokenslive data access
Build your own version of Modeinspect, Remix and more
One app with what these 3 AI tools do, yours to keep and change: Modeinspect, Remix, Lovable Visual Edits.
Everything these tools do, in one app
- Edit real app UI Users change the actual product interface rather than a static mockup.Found in Modeinspect, Remix, Lovable Visual Edits
- Visual element editing Users adjust elements directly in the interface with an edit control.Found in Modeinspect, Lovable Visual Edits
- Instant style updates Text, colors, sizes, and component styling update immediately without writing code prompts.Found in Lovable Visual Edits
- AI-assisted editing The tool helps make broader or prompted changes alongside manual controls.Found in Modeinspect, Remix
- Reuse existing components The tool pulls in and reuses components already defined in the codebase.Found in Modeinspect
- Design token support Changes respect the design tokens set up in the codebase.Found in Modeinspect
- Live data in canvas Users work with real live data rather than placeholder content.Found in Modeinspect
- Custom CSS classes Users can apply custom Tailwind CSS classes for advanced styling.Found in Lovable Visual Edits
- Sandboxed variants Changes run in isolated copies of the app so production data is not touched.Found in Remix
- Live preview links Each change gets a preview link so reviewers can test it before merging.Found in Remix
- Merge variants Users can drag one variant into another to combine ideas.Found in Remix
- Pull request generation The tool creates a pull request in GitHub when a change is ready to ship.Found in Modeinspect, Remix
- Prompt history Every prompt is recorded so reviewers can see the build history.Found in Remix
- Policy checks Changes are checked against design system, security, and compliance rules before going anywhere.Found in Remix
- Branch-based workflow Changes happen on a separate branch that syncs with the main branch and merges through normal review.Found in Modeinspect
- Direct publishing Teams can choose to publish changes live directly instead of routing them through review.Found in Modeinspect
- Configurable backend target Each sandbox can point at dev, staging, or production backends and be repointed without changing project defaults.Found in Remix
- Terminal and environment access Each sandbox runs on its own VM with full terminal access and editable environment variables.Found in Remix
How it works, step by step
- Edit the real running app interface instead of a static mockup
- Adjust elements directly in the interface with an edit control
- Update text, colors, sizes and component styling instantly without writing code prompts
- Assist broader or prompted changes with AI alongside manual controls
- Reuse components already defined in the codebase
- Respect the design tokens set up in the codebase
- Work with real live data rather than placeholder content
- Apply custom Tailwind CSS classes for advanced styling
- Run changes in isolated sandboxed copies so production data is not touched
- Generate a preview link for each change so reviewers can test it before merging
- Drag one variant into another to combine ideas
- Create a pull request in GitHub when a change is ready to ship
- Record every prompt so reviewers can see the build history
- Check changes against design system, security and compliance rules before going anywhere
- Keep changes on a separate branch that syncs with the main branch and merges through normal review
- Allow teams to publish changes live directly instead of routing them through review
- Point each sandbox at dev, staging or production backends and repoint it without changing project defaults
- Run each sandbox on its own VM with full terminal access and editable environment variables
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 Live interface change review workbench 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 Live interface change review workbench 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 links4 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 criteria11 KB
- demo/index.htmlThe working demo on sample data200 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 hand-coded interface work while keeping every change reviewable and reversible. For product teams and designers who need to change a live app's user interface without hand-coding every edit, convert the running app, its component library, design tokens and live data into reviewer-approved interface changes linked to pull requests. The benefit is a testable hypothesis, measured through accepted interface changes per design hour and reverted changes after release; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect the running app, its component library, design tokens and live data access, then follow this sequence: 1. Edit the real running app interface instead of a static mockup. 2. Adjust elements directly in the interface with an edit control. 3. Update text, colors, sizes and component styling instantly without writing code prompts. 4. Assist broader or prompted changes with AI alongside manual controls. 5. Reuse components already defined in the codebase. 6. Respect the design tokens set up in the codebase. 7. Work with real live data rather than placeholder content. 8. Apply custom Tailwind CSS classes for advanced styling. 9. Run changes in isolated sandboxed copies so production data is not touched. 10. Generate a preview link for each change so reviewers can test it before merging. 11. Drag one variant into another to combine ideas. 12. Create a pull request in GitHub when a change is ready to ship. 13. Record every prompt so reviewers can see the build history. 14. Check changes against design system, security and compliance rules before going anywhere. 15. Keep changes on a separate branch that syncs with the main branch and merges through normal review. 16. Allow teams to publish changes live directly instead of routing them through review. 17. Point each sandbox at dev, staging or production backends and repoint it without changing project defaults. 18. Run each sandbox on its own VM with full terminal access and editable environment variables. Resolve uncertain cases with qualified reviewers, approve reviewer-approved interface changes linked to pull requests, and measure accepted interface changes per design hour and reverted changes after release 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 fixed framework version and licensed component set; final accessibility and security checks remain with the engineering team. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, accessibility requirements and usage permissions. Engineering teams approve substantive changes and publication scope. One fixed framework version and licensed component set; final accessibility and security checks remain with the engineering team. 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 fixed framework version and licensed component set; final accessibility and security checks remain with the engineering team. Implement one approved input format, a bounded representative case set and the first two task modules: edit the real running app interface instead of a static mockup; adjust elements directly in the interface with an edit control. Support the third module with operator review: update text, colors, sizes and component styling instantly without writing code prompts. 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
Customer-owned repositories, design token files and live data sources. Cloud sandbox hosting, GitHub pull requests and preview link delivery. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Project and environment setup, Editable live preview, Review and merge. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for components, tokens, prompts and comments. Let users compare variants side by side. Display draft, changes requested and approved states. Provide a preview link with comments anchored to the relevant element. Make the task-specific outcome reviewer-approved interface changes linked to pull requests visible beside its evidence, review state and value baseline.
