Design-to-code delivery workspace with managed implementation

For

Product teams and agencies building web apps from designs or prompts

Solves

UI code is generated in one tool, edited in another, and reviewed in a third, so teams rent several subscriptions and still hand-carry code between them.

Delivers

Reviewer-approved UI code changes linked to a running preview

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce handoffs between design and working code while keeping the team's own components and review rules.

1. Generate UI components and screens from prompts or design inputs.
2. Export clean production-ready code.
3. Edit elements visually by click, drag, resize and position.
4. Accept plain-language and voice commands for changes and critique.
5. Import and convert Figma designs into code components.
6. Support real-time multi-user editing.
7. Offer pre-built templates and component libraries.
8. Generate a consistent design system file.
9. Produce responsive layouts for multiple screen sizes.
10. Show code structure in a design-friendly layer panel.
11. Apply SEO and performance settings such as meta tags and sitemaps.
12. Track component versions and changes.
13. Allow in-browser code editing.
14. Inspect and modify components with one click.
15. Analyze live sites with screenshots and summaries.
16. Track tasks and update plans during development.
17. Support React, Vue, Svelte and plain HTML.
18. Keep the platform open-source for review and contribution.
19. Compare the reviewed result with the recorded baseline and value assumptions.
20. Capture corrections and named-owner approval before consequential use.
21. Export a versioned reviewer-approved UI code changes linked to a running preview with source references and unresolved questions.

Everything these tools do, in one app

• AI UI generation Generates user interface components or screens automatically from prompts or design inputs.Found in UXPin Merge AI, Stitch 2.0 by Google, PageAI and 2 more
• Production-ready code export Lets users download or export clean code that can be used directly in production.Found in UXPin Merge AI, Onlook for Web, PageAI and 2 more
• Visual editing interface Provides a visual canvas or editor to click, drag, resize, and position UI elements.Found in Onlook for Web, Layrr
• Natural language and voice input Allows users to create, critique, or modify designs using plain language or voice commands.Found in Stitch 2.0 by Google, Layrr
• Figma integration and conversion Works inside Figma or converts Figma designs into working code components.Found in Bolt x Figma, Vivid, Layrr
• Real-time collaboration Enables multiple team members to work together on designs or code simultaneously.Found in Autodesigner 2.0, Onlook for Web, Bolt x Figma and 1 more
• Pre-built templates and components Offers ready-made templates or component libraries to jumpstart common projects.Found in UXPin Merge AI, Autodesigner 2.0, UiHub
• Design system generation Automatically creates a design system with consistent styles and rules, often exported as a file.Found in Stitch 2.0 by Google
• Responsive layout support Helps create layouts that adapt to different screen sizes and devices.Found in Stitch 2.0 by Google, PageAI, UiHub
• Code structure visualization Shows the underlying code structure in a design-friendly layer panel.Found in Onlook for Web
• SEO and performance optimizations Includes built-in SEO features and performance enhancements like meta tags and sitemaps.Found in PageAI
• Version control Tracks changes and updates to components to keep designs up to date.Found in Bolt x Figma
• In-browser code editing Allows developers to modify code directly in the browser without leaving the tool.Found in Vivid, Layrr
• Smart inspect elements Provides a one-click way to understand and modify components in the code.Found in Vivid
• Web inspection tools Analyzes live websites, takes screenshots, and summarizes findings.Found in v0.app by Vercel
• Task and to-do management Tracks progress and updates plans dynamically during development.Found in v0.app by Vercel
• Framework-agnostic support Works with multiple frontend frameworks like React, Vue, Svelte, or plain HTML.Found in Layrr
• Open-source platform Provides open-source code for community contributions and transparency.Found in Onlook for Web, Layrr

What goes in, what comes out

The workflow

1. In
   Start with

   Licensed design files, prompts, component libraries and framework constraints

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect licensed design files

4. 3

   Prompts

5. 4

   Component libraries and framework constraints

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewer-approved UI code changes linked to a running preview

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the 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 target and licensed component set; final accessibility, security and production checks remain engineering. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Project and design intake, Editable code and preview workspace, Review and delivery. Use a thumbnail gallery for projects, a large central editing canvas with live preview, and a right-hand panel for prompts, components, constraints and comments. Let users compare generated versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant screen or component. Make the task-specific outcome reviewer-approved UI code changes linked to a running preview visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Customer-owned design files, repositories and component libraries. Cloud asset storage, design-file import/export and deployment destinations. Start with file exchange and validate destination specifications before promising direct deployment. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case; first modules: generate UI components and screens from prompts or design inputs; export clean production-ready code. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will product teams and agencies building web apps from designs or prompts use it to solve "UI code is generated in one tool, edited in another, and reviewed in a third, so teams rent several subscriptions and still hand-carry code between them"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted UI screens per delivery hour and rework after code review.
4. Measure, then decide. Track accepted UI screens per delivery hour and rework after code review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed framework target and licensed component set; final accessibility, security and production checks remain engineering. Implement one approved input format, a bounded representative case set and the first two task modules: generate UI components and screens from prompts or design inputs; export clean production-ready code. Support the third module with operator review: edit elements visually by click, drag, resize and position. 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.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved UI code changes linked to a running preview. Retain the explicit scope boundary: One fixed framework target and licensed component set; final accessibility, security and production checks remain engineering.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist engineering QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed framework target and licensed component set; final accessibility, security and production checks remain engineering.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined app package. Offer a monthly production allowance after repeat demand. Quote complex integrations or specialist frontend work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved UI code changes linked to a running preview. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce handoffs between design and working code while keeping the team's own components and review rules. Demonstrate a concrete reviewer-approved UI code changes linked to a running preview using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Product teams and agencies building web apps from designs or prompts professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved UI code changes linked to a running preview from a small authorized input set, with a transparent calculation of accepted UI screens per delivery hour and rework after code review and no promised savings.

The first 30 days

1. Week 1: interview five product teams and agencies building web apps from designs or prompts and inspect a recent example of UI code is generated in one tool, edited in another, and reviewed in a third, so teams rent several subscriptions and still hand-carry code between them.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted UI screens per delivery hour and rework after code review, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted UI screens per delivery hour and rework after code review. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted UI screens per delivery hour and rework after code review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved UI code changes linked to a running preview. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved components, framework constraints and review examples, together with reliable delivery for a narrow development niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for product teams and agencies building web apps from designs or prompts. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

UXPin Merge AI, Stitch 2.0 by Google, Autodesigner 2.0, Onlook for Web, PageAI, Bolt x Figma, Vivid, UiHub, v0.app by Vercel and Layrr, plus manual design-to-code handoff. Compare this product with the buyer's present method on accepted UI screens per delivery hour and rework after code review. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, code processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved UI code changes linked to a running preview. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve code ownership, source attribution, license accuracy and usage permissions. Engineering owners approve substantive changes and deployment scope. One fixed framework target and licensed component set; final accessibility, security and production checks remain engineering. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.