AI app for it and development · no coding needed
Visual interface design to code workbench
Reduce handoff rework while keeping the approved interface as the source of truth.
Made for: Product teams and agencies building web interfaces
What it does for you
The problem
Design and code live in separate tools, so interface work is retyped, drifts from the approved layout and stalls between design and release.
What it gives you
Reviewed, exportable interface code linked to the approved layout
What you give it
Licensed design filescomponent librariesbrand rulesframework constraints
Build your own version of CheapUI, v0.dev and more
One app with what these 3 AI tools do, yours to keep and change: CheapUI, v0.dev, Tailwind Studio.
Everything these tools do, in one app
- Drag-and-drop layout Lets users assemble interface layouts visually by dragging and dropping elements.Found in CheapUI, Tailwind Studio
- Pre-built components Provides ready-made UI components and templates to speed up design.Found in CheapUI, Tailwind Studio
- Code export Exports clean, production-ready code for use in projects.Found in Tailwind Studio
- AI code generation Generates React code directly from text prompts using AI.Found in v0.dev
- Interface variations Offers multiple AI-generated interface options to choose from.Found in v0.dev
- Framework integration Ensures generated code is compatible with popular libraries like Shadcn UI and Tailwind CSS.Found in v0.dev
- Component customization Allows users to further customize generated components to match project requirements.Found in v0.dev, Tailwind Studio
- Responsive design Supports designing for multiple screen sizes.Found in Tailwind Studio
- File format compatibility Supports common design file formats for easy import and export.Found in CheapUI
- Team collaboration Enables multiple users to work on projects simultaneously.Found in CheapUI
- Basic prototyping Simulates user interactions to test designs.Found in CheapUI
- Continuous improvement Leverages datasets and user prompts to refine the system over time.Found in v0.dev
How it works, step by step
- Assemble interface layouts by drag and drop
- Offer pre-built components and templates
- Generate React code from text prompts
- Produce multiple interface variations to compare
- Keep output compatible with Shadcn UI and Tailwind CSS
- Customize generated components to project requirements
- Design for multiple screen sizes
- Import and export common design file formats
- Let several users work on one project at once
- Simulate interactions to test designs
- Refine suggestions from approved datasets and prompts
- Export clean, production-ready code
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed, exportable interface code linked to the approved layout 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 Visual interface design to code 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 Visual interface design to code 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 links3 KB
- questions.mdQuestions to answer before you build3 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 data192 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 handoff rework while keeping the approved interface as the source of truth. For product teams and agencies building web interfaces, convert licensed design files, component libraries, brand rules and framework constraints into reviewed, exportable interface code linked to the approved layout. The benefit is a testable hypothesis, measured through accepted screens per design hour and corrections after code export; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed design files, component libraries, brand rules and framework constraints, then follow this sequence: 1. Assemble interface layouts by drag and drop. 2. Offer pre-built components and templates. 3. Generate React code from text prompts. 4. Produce multiple interface variations to compare. 5. Keep output compatible with Shadcn UI and Tailwind CSS. 6. Customize generated components to project requirements. 7. Design for multiple screen sizes. 8. Import and export common design file formats. 9. Let several users work on one project at once. 10. Simulate interactions to test designs. 11. Refine suggestions from approved datasets and prompts. 12. Export clean, production-ready code. Resolve uncertain cases with qualified reviewers, approve reviewed, exportable interface code linked to the approved layout, and measure accepted screens per design hour and corrections after code export 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 component library and framework version; final accessibility and production checks remain with the engineering owner. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve brand rules, source attribution, component licensing and usage permissions. Engineering owners approve substantive changes and release scope. One fixed component library and framework version; final accessibility and production checks remain with the engineering owner. 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 component library and framework version; final accessibility and production checks remain with the engineering owner. Implement one approved input format, a bounded representative case set and the first two task modules: assemble interface layouts by drag and drop; offer pre-built components and templates. Support the third module with operator review: generate React code from text 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 design files, component libraries and repositories. Cloud asset storage, design-file import/export and code repository destinations. 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 component library, Editable production preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for components, constraints and comments. Let users compare variations side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant screen. Make the task-specific outcome reviewed, exportable interface code linked to the approved layout visible beside its evidence, review state and value baseline.
