Mobile apps your team is too busy to build.
iOS + Android apps built faster, cheaper, and with better polish — because AI does the boilerplate while we focus on the parts that need judgment.
Mobile dev was always slow because every screen was hand-coded. With AI, the boilerplate writes itself — we focus on architecture, performance, and the 20% of UX that actually matters. Apps ship in weeks, not quarters, with the polish you'd expect from a senior native team.
How it runs
The agent sits between your signals and your actions.
arthat / mobile-build- 01
Spec & screens
User stories, screen inventory, integrations. We ship a lightweight spec so the shape of the project is clear before code.
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Notion - 02
Design in Figma
Every screen designed, native patterns honoured per platform. You approve before engineering starts.
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Figma - 03
Build with AI
React Native + TypeScript. AI does boilerplate (forms, lists, navigation); we handle architecture, performance, native modules.
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GitHub
Supabase - 04
AI features
In-app chat, image gen, search, copilots — same infrastructure we use across our agent work.
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OpenAI
Claude - 05
Submit & monitor
App Store + Play Store submission, screenshots, listing copy. Crash reporting + analytics from day one.
Stack:
Stripe
How we work
Four phases. Nothing hidden.
User stories, data model, screen inventory, integrations. We ship a spec before we ship code.
Figma-first. Every screen designed and approved. Native patterns honoured per platform.
React Native + TypeScript. Weekly TestFlight / internal-track builds. AI handles boilerplate; we handle architecture.
Store submission, launch monitoring, crash triage. Optional retainer for feature work + maintenance.
What we automate
Here’s what usually lives inside an engagement.
- iOS + Android from a single React Native codebase
- Auth, payments, push notifications, deep links — wired up correctly
- Native modules where performance matters (camera, BLE, AR)
- AI features inside the app — chat, search, copilots, image gen
- App Store + Play Store submission, screenshots, listing copy
- Crash reporting, analytics, and a feedback loop on day one
Typical outcomes
What this changes
Median timeline, scoped upfront
One codebase, both platforms
TestFlight / internal-track builds
Of code is yours, including app store credentials
Audience
Who this is for
Founders with a web product going mobile
Your customers are asking for an app and your engineering team is heads-down on the web product.
Service brands needing a customer app
Booking, ordering, loyalty — your customers want to do it from their phone, not your website.
Internal-tool teams
Your field team uses a clipboard. Or paper. Or a forgotten Filemaker app from 2014.
Tool stack
Built on the tools you already use
We build on the tools your team already uses — no rip-and-replace.
GitHubFigmaSupabaseStripe
LinearNotionOpenAIAnthropicComparison
How we're different
Proof
Work we've shipped
FAQ
Questions we get a lot
Stop running marketing the slow way.
Book a 30-minute discovery call. We’ll walk through what you’re trying to grow, what the AI playbook would look like for it, and what the engagement would cost — honestly.