I built an AI gateway for mobile devs — swap models, change providers, and see all your AI traffic without shipping an update

I'm the builder behind MAIG (Mobile AI Gateway). I have been building some mobile apps and wanted to integrate them with AI providers. I kept hitting the same set of walls every time I tried to add LLM features to an iOS app and eventually built the thing I needed.

The problems I kept running into:

1. Can't change models without a release. If gpt-4o is hardcoded in your app, switching to a newer model or trying Claude means an App Store update, review queue, and waiting for users to upgrade. That's brutal for a feature that should be a config change.

2. Key rotation breaks existing users. If your provider key lives on the device and you need to rotate it — security incident, leak, new key policy — every user on an old build stops working until they update. You can't safely invalidate it without breaking clients.

3. Changing providers is a rebuild. Switching from OpenAI to Anthropic (or adding either as a fallback) means touching the integration in every client build, not just updating server config.

4. Zero visibility. Once the request leaves the app, you have no idea what happened. Latency, errors, which model responded, how many tokens — all invisible unless you build logging yourself.

What MAIG does:

It's a hosted AI gateway with a native Swift SDK (via Swift Package Manager) and a Kotlin SDK. Your app calls a named route — something like "chat" — and the gateway decides which provider and model to use, handles fallback if something's down, logs every request, and manages credentials server-side. The app just calls the route.

You can change the model, swap providers, or add a fallback in the dashboard — no app update required.

let client = MAIGClient(projectKey: "your-project-key")

for await chunk in try await client.streamChat(route: "chat", messages: messages) {

responseText += chunk

}

**Free tier**: 1,000 requests/month, 1 project, full dashboard and logs. No credit card required.

Still early — would genuinely appreciate feedback from iOS devs on the SDK design or anything that feels off. Happy to answer questions.

[maig.dev](https://maig.dev)