Mobile + AI
Your users carry an iPhone with a language model built in, and many wear an Apple Watch. Your app can work from Siri, the Lock Screen, the Action button and the wrist, and it can think on the device without sending data anywhere. We build that into the app you have, or build the whole app from zero.
What Apple gives every app now
Packages
Where AI belongs in your app and how to ship it. Which features run on the device, which need Apple's Private Cloud Compute or a bigger model, and which App Intents go first.
Your five to ten most repeated actions become App Intents. One definition reaches Siri, Shortcuts, Spotlight, widgets, Control Center and the Action button.
Write, sort, summarise or plan inside your app, offline and with no cost per request. The prompt is generated from the same types that read the answer, with tests that keep them in step.
The part of your app people need on the move: the next step, a quick answer, a confirmation. Double Tap, complications and the Smart Stack.
The one task people need at a door, a counter or an event opens from a QR code, an NFC tag or a link, with nothing to install. Built from your app, with a path to the full download.
An MCP connector so Claude, ChatGPT and coding assistants can read and act in your product. Sign-in, rate limits, and changes that wait for a person to approve them.
An iPhone and Apple Watch app with AI inside, taken all the way to the App Store. Built the way Routine Run was built, with tests from the first day.
Prices are per project, in US dollars, half up front and half on delivery. Bigger or unusual scope gets its own fixed quote after the plan.
Proof
Check it yourself
What building it taught us
Questions
Both. Most projects add AI, Siri or a Watch app to an app that already has users. We read your code first and say in the plan what we would change and what we would leave alone.
We build in Swift and SwiftUI. App Intents, the Watch and Apple's models are native APIs, so in a cross-platform app we add them as a native module. We'll tell you on the first call if that's the right path for your app.
The on-device model runs on the phone. Private Cloud Compute is Apple's server path with published privacy guarantees. If a task needs a third-party model, the plan says so and you decide.
Apple Intelligence needs a recent iPhone. We design a fallback so people on older phones get a working screen, never a broken one.
Not today. The process design and the AI behind it carry over to Android; the Apple layer is native to Apple.
You do, from the first commit, in your repository and your Apple developer account.
Built first in Routine Run