Screenshot of the AI-assisted mobile app build and publish workspace interactive demo
Screenshot of the interactive demo, on sample data

AI-assisted mobile app build and publish workspace

Reduce tool sprawl and manual release work while keeping the code and the store accounts in the buyer's name.

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For
Small product teams and agencies building mobile apps for their own business or their clients
Solves
Mobile app delivery is split across coding assistants, design tools, backend setup and two store pipelines, so small teams rent several subscriptions and still manage DevOps by hand.
Delivers
Reviewed, full-code app builds with automated backend services and one cross-platform publishing workflow
Built in
about 6 weeks of creation time, MVP in 7 days
Investment
$12,000 for the MVP, $41,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce tool sprawl and manual release work while keeping the code and the store accounts in the buyer's name.

  1. Import designs from Figma or screenshots.
  2. Convert sketches and drawings into app code.
  3. Generate features and fix bugs with AI assistance.
  4. Edit layout in a visual-first interface.
  5. Attach written functionality descriptions to guide generation.
  6. Automate backend services for authentication, payments and content.
  7. Run an in-browser Android emulator for quick testing.
  8. Produce complete, production-ready full-code output.
  9. Provision built-in infrastructure without separate DevOps work.
  10. Track token-based credits per build and update.
  11. Export code to HTML, SwiftUI, Kotlin Jetpack Compose, Next.js and Flutter.
  12. Compare the reviewed result with the recorded baseline and value assumptions.
  13. Capture corrections and named-owner approval before store submission.
  14. Publish to iOS and Android stores from one workflow.
  15. Export a versioned reviewed build record with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Imported designs
  • Screenshots
  • Sketches
  • Functionality descriptions
  • Store account details
  • Credit allowances

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

What the customer gets
  • Reviewed
  • Full-code app builds with automated backend services
  • One cross-platform publishing workflow
02

How it works

The workflow

  1. In
    Start with

    Imported designs, screenshots, sketches, functionality descriptions, store account details and credit allowances

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect imported designs

  4. 3

    Screenshots

  5. 4

    Sketches

  6. 5

    Functionality descriptions and store account details

  7. 6

    Then follow this sequence: 1

  8. Out
    Finish with

    Reviewed, full-code app builds with automated backend services and one cross-platform publishing workflow

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate code and backend configurations 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 target framework pair and one store account set per pilot; final code review, security checks and store compliance remain with the buyer's developers. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Project intake and design import, Build workspace with visual editor and code view, Preview and emulation, Release and store submission. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for functionality descriptions, credits and build logs. Let users compare generated code against the imported design side by side. Display draft, in review and released states. Provide a client preview link with comments anchored to the relevant screen. Make the task-specific outcome reviewed, full-code app builds with automated backend services and one cross-platform publishing workflow visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, credit balances, build history, store credentials 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 such as store submission.

Integrations and data access

Design files, screenshots, sketches and written functionality descriptions. Cloud build and storage, source control, backend service providers and app store submission endpoints. Start with file exchange and validate store 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: import designs from Figma or screenshots; convert sketches and drawings into app code; generate features and fix bugs with AI assistance; edit layout in a visual-first interface. 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 small product teams and agencies building mobile apps for their own business or their clients use it to solve "mobile app delivery is split across coding assistants, design tools, backend setup and two store pipelines, so small teams rent several subscriptions and still manage DevOps by hand"?
  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 builds per developer week and store submissions completed without manual rework.
  4. Measure, then decide. Track accepted builds per developer week and store submissions completed without manual rework; 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 target framework pair and one store account set; final code review, security checks and store compliance remain with the buyer's developers. Implement one approved input format, a bounded representative case set and the first four task modules: import designs from Figma or screenshots; convert sketches and drawings into app code; generate features and fix bugs with AI assistance; edit layout in a visual-first interface. Support the remaining modules with operator review: automate backend services; run the in-browser emulator; export to target frameworks; publish to both stores. 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 store or backend integration. Expand supported frameworks and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed, full-code app builds with automated backend services and one cross-platform publishing workflow. Retain the explicit scope boundary: One target framework pair and one store account set per pilot; final code review, security checks and store compliance remain with the buyer's developers.

What the build depends on. Asset upload and preview, asynchronous build jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist code and security QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One target framework pair and one store account set per pilot; final code review, security checks and store compliance remain with the buyer's 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: import designs from Figma or screenshots; convert sketches and drawings into app code; generate features and fix bugs with AI assistance; edit layout in a visual-first interface. Manual review in the loop.

    $12,000 · 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.

    $12,000 · about 8 days of creation time

  3. Phase 3

    Full product

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

    $17,000 · about 3 weeks of creation time

Indicative total, MVP to full product$41,000about 6 weeks of creation time · start with the MVP from $12,000

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

Small product teams and agencies building mobile apps for their own business or their clients run it inside the business: imported designs, screenshots, sketches, functionality descriptions, store account details and credit allowances in, reviewed, full-code app builds with automated backend services and one cross-platform publishing workflow 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#278691
  • accent#c98554
  • surface#e4eff1
  • ink#22201e
Headings
Playfair Display
Text
Source Sans 3
Voice
Technical, direct, no hype
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 2,000-8,000 fixed pilot for one defined app package. Offer a monthly build allowance after repeat demand. Quote complex native integrations or specialist compliance separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed, full-code app build with automated backend services and one cross-platform publishing workflow. 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 tool sprawl and manual release work while keeping the code and the store accounts in the buyer's name. Demonstrate a concrete reviewed, full-code app build with automated backend services and one cross-platform publishing workflow using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Small product teams and agencies building mobile apps professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample app build with automated backend services and one cross-platform publishing workflow from a small authorized input set, with a transparent calculation of accepted builds per developer week and store submissions completed without manual rework and no promised savings.

The first 30 days

  1. Week 1: interview five small product teams and agencies building mobile apps and inspect a recent example of mobile app delivery split across coding assistants, design tools, backend setup and two store pipelines.
  2. Week 2: prepare a consented or synthetic demonstration of the task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure accepted builds per developer week and store submissions completed without manual rework, 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 builds per developer week and store submissions completed without manual rework. 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 builds per developer week and store submissions completed without manual rework; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs a reviewed, full-code app build with automated backend services and one cross-platform publishing workflow. 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 app patterns, backend configurations and review examples, together with reliable delivery for a narrow mobile niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for small product teams and agencies building mobile apps. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Rork, Tile and Glowby Genius by Glowbom, plus separate design tools, backend services and manual store pipelines. Compare this product with the buyer's present method on accepted builds per developer week and store submissions completed without manual rework. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, emulator and build compute, 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 reviewed, full-code app builds with automated backend services and one cross-platform publishing workflow. Track cost per accepted build, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve code ownership, source attribution, license accuracy and store account permissions. The buyer's developers approve substantive code changes and release scope. One target framework pair and one store account set per pilot; final code review, security checks and store compliance remain with the buyer's 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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