Screenshot of the Sketch and text to app code workbench interactive demo
Screenshot of the interactive demo, on sample data

Sketch and text to app code workbench

Reduce manual coding effort while keeping generated code reviewable and owned.

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For
Product teams and agencies turning sketches or plain-language descriptions into working app code without manual coding
Solves
Sketch and text inputs are scattered across several rented tools, so generated code, design decisions and platform exports are hard to trace and own.
Delivers
Reviewer-approved working app code linked to build evidence
Built in
about 6 weeks of creation time, MVP in 7 days
Investment
$12,500 for the MVP, $42,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce manual coding effort while keeping generated code reviewable and owned.

  1. Convert hand-drawn sketches into working code.
  2. Convert plain text and images into functioning applications.
  3. Generate code from visual or text inputs with AI assistance.
  4. Export generated code for iOS, Android and web.
  5. Generate code compatible with React, Next.js, React Native and Flutter.
  6. Provide a visual design interface for sketching and integrating design elements without writing code.
  7. Offer pre-built templates to accelerate design and development.
  8. Iterate and customize generated code through text prompts.
  9. Preview and edit generated code in real time.
  10. Support mobile-first design and iteration on a phone.
  11. Sync projects between mobile and desktop.
  12. Prepare publish-ready output for app stores.
  13. Connect to APIs and data sources to expand functionality.
  14. Tailor apps with customizable design options.
  15. Compare the reviewed result with the recorded baseline and value assumptions.
  16. Capture corrections and named-owner approval before consequential use.
  17. Export a versioned reviewer-approved working app code linked to build evidence with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Sketches
  • Plain-language descriptions
  • Images
  • Framework targets
  • Platform requirements

AI drafts, people review. Technical delivery workspace with managed implementation.

What the customer gets
  • Reviewer-approved working app code linked to build evidence
02

How it works

The workflow

  1. In
    Start with

    Sketches, plain-language descriptions, images, framework targets and platform requirements

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect sketches

  4. 3

    Plain-language descriptions

  5. 4

    Images

  6. 5

    Framework targets and platform requirements

  7. 6

    Then follow this sequence: 1

  8. Out
    Finish with

    Reviewer-approved working app code linked to build evidence

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 one platform export set; final code review, security checks and release decisions remain with qualified developers. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Input brief and sketches, Editable code and preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas with code and live preview side by side, and a right-hand panel for references, framework targets 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 code block. Make the task-specific outcome reviewer-approved working app code linked to build evidence 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

Buyer-owned repositories, design files, API specifications and permitted data sources. Cloud code storage, design-file import/export and app store 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.

03

How we build it

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: convert hand-drawn sketches into working code; convert plain text and images into functioning applications. 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 turning sketches or plain-language descriptions into working app code without manual coding use it to solve "sketch and text inputs are scattered across several rented tools, so generated code, design decisions and platform exports are hard to trace and own"?
  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 build-ready code per developer hour and corrections after code review.
  4. Measure, then decide. Track accepted build-ready code per developer hour and corrections 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 one platform export set; final code review, security checks and release decisions remain with qualified developers. Implement one approved input format, a bounded representative case set and the first two task modules: convert hand-drawn sketches into working code; convert plain text and images into functioning applications. Support the remaining modules with operator review: generate code from visual or text inputs with AI assistance; export generated code for iOS, Android and web; generate code compatible with React, Next.js, React Native and Flutter. 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 working app code linked to build evidence. Retain the explicit scope boundary: One fixed framework target and one platform export set; final code review, security checks and release decisions remain with qualified developers.

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 development QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed framework target and one platform export set; final code review, security checks and release decisions remain with qualified developers.

04

Investment

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

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: convert hand-drawn sketches into working code; convert plain text and images into functioning applications. Manual review in the loop.

    $12,500 · about 7 days of creation time

  2. Phase 2

    Paid pilot

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

    $12,500 · about 8 days of creation time

  3. Phase 3

    Full product

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

    $17,500 · about 3 weeks of creation time

Indicative total, MVP to full product$42,500about 6 weeks of creation time · start with the MVP from $12,500

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.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$60–$120$90–$180
Full productabout 50 customers$110–$210$530–$1,050$640–$1,260
05

Run it or resell it

Internally

For your own team

Product teams and agencies turning sketches or plain-language descriptions into working app code without manual coding run it inside the business: sketches, plain-language descriptions, images, framework targets and platform requirements in, reviewer-approved working app code linked to build evidence out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

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

  • primary#277691
  • accent#c97b54
  • surface#e4eef1
  • ink#22201e
Headings
DM Serif Display
Text
DM Sans
Voice
Technical, direct, no hype
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 platform work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved working app code linked to build evidence. 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 manual coding effort while keeping generated code reviewable and owned. Demonstrate a concrete reviewer-approved working app code linked to build evidence using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Product teams and agencies turning sketches or plain-language descriptions into working app code without manual coding 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 working app code linked to build evidence from a small authorized input set, with a transparent calculation of accepted build-ready code per developer hour and corrections after code review and no promised savings.

The first 30 days

  1. Week 1: interview five product teams and agencies turning sketches or plain-language descriptions into working app code without manual coding and inspect a recent example of sketch and text inputs scattered across several rented tools, so generated code, design decisions and platform exports are hard to trace and own.
  2. Week 2: prepare a consented or synthetic demonstration of the stated task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure accepted build-ready code per developer hour and corrections 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 build-ready code per developer hour and corrections 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 build-ready code per developer hour and corrections 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 working app code linked to build evidence. 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 templates, 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 turning sketches or plain-language descriptions into working app code without manual coding. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Glowbom, Sketch2App, Webdraw, AppForceStudio and Create. Compare this product with the buyer's present method on accepted build-ready code per developer hour and corrections 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 working app code linked to build evidence. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve code ownership, source attribution, license accuracy and usage permissions. Developers approve substantive changes and release scope. One fixed framework target and one platform export set; final code review, security checks and release decisions remain with qualified developers. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 7 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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