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NATIVE macOS FOR SOFTWARE AND AI TEAMS

macOS App Development

I bring your existing product or AI prototype to the Mac. The work covers native interaction, local files and audio, model integration where needed, and signed distribution with licensing and updates.

Scope your feature
BUILT FORSoftware teams with a product that needs a native Mac workflowTeams turning a web app, script, model, or workflow into desktop softwareProducts that need native system access, local files, audio, shortcuts, or AIExisting desktop apps that need a rebuild, new features, or release help

WHAT IS INCLUDED

From integration
through release.

01

Desktop product design

Window structure, navigation, keyboard workflows, settings, onboarding, and the first release scope.

02

Desktop architecture

Swift and AppKit for Mac-specific depth, Electron for mature web teams, or Tauri for a smaller cross-platform shell.

03

System integration

Audio capture, keyboard shortcuts, clipboard, menu bar, file access, accessibility, background services, and installers.

04

Local and cloud AI

Speech, language, audio, media, and agent workflows using local runtimes or provider APIs.

05

Licensing and payments

Direct-sale licensing, activation, secure local credentials, purchases, refunds, and entitlement state.

06

Updates and distribution

Sparkle feeds, signed archives, notarization, Gatekeeper verification, appcasts, and production release workflows.

HOW THE ENGAGEMENT WORKS

Desktop software that can survive distribution.

A Mac product is more than a window around a web app or model. The engagement covers the desktop interaction model, system permissions, local runtime, licensing, signing, updates, and the release path users will actually experience.

01

Choose the right desktop boundary

Compare native Swift/AppKit, Electron, Tauri, or a hybrid based on system access, performance, existing code, target platforms, and the distribution model.

02

Make the workflow feel native

Design windows, menus, shortcuts, files, settings, background work, and recovery states around how people use a Mac—not around the implementation stack.

03

Package the product

Prepare signed builds, notarization, licensing, update feeds, migration paths, and a repeatable release checklist for direct distribution or the Mac App Store.

STARTING POINTUseful first input: a web workflow, script, model demo, existing desktop build, or the system integration the product must own.

TECHNOLOGY

Selected for the app.

SwiftSwiftUIAppKitElectronTauriReactTypeScriptSparkle
RELATED PRODUCT WORKMurmurLoopMakerEchoTextMeetingMind

RELATED WORK AND NOTES

Apps and engineering
decisions.

INDEPENDENT PRODUCT · macOS

Murmur

A private voice studio for Mac.

INDEPENDENT PRODUCT · macOS

LoopMaker

AI music generated on your Mac.

INDEPENDENT PRODUCT · macOS

EchoText

Speak. It types. Anywhere.

INDEPENDENT PRODUCT · macOS

MeetingMind

Meetings remembered privately.

ENGINEERING NOTE · 8 min

From model demo to native macOS AI app

A Mac product needs model lifecycle management, memory guards, permissions, updates, licensing, and failure recovery.

ENGINEERING NOTE · 8 min

On-device AI for iOS and macOS: what should run locally?

Use privacy, latency, cost, resilience, model lifecycle, and hardware limits to choose a local, cloud, or hybrid architecture.

COMMON QUESTIONS

Scope and delivery.

Do you build native Mac apps or Electron apps?+

Both. Swift and AppKit fit products that need deep Mac integration, low overhead, or local model performance. Electron fits teams with a mature web codebase and broader desktop plans. Tauri is another option when bundle size and system access matter.

Can you turn our AI prototype into a Mac app?+

Yes. Bring the working prototype, target hardware, and sample inputs. I scope the native experience, model lifecycle, permissions, licensing, and distribution needed to make it usable on a customer’s Mac.

Do you support direct distribution?+

Yes. I can prepare Developer ID signing, notarization, Sparkle updates, licensing, and download delivery. Mac App Store work is scoped separately because its sandbox and policy constraints differ.

Can the AI run entirely on-device?+

When the model and target hardware make that practical. I assess memory, latency, model size, quality, and fallback needs before choosing local, cloud, or hybrid inference.

DISCUSS THE PROJECT

Bring your product.
Define the next feature.

I’ll review the starting point and tell you whether the work fits the studio.

Scope your feature