Delegate to the OS AI or Own It: Drawing the iOS 27 Feature Boundary
WWDC 2026 put AI into the OS core. Which app features should you hand to the OS AI, and which should you own? A boundary you will not regret, for indie developers.
Apple Foundation Models Are Now Free for Most Indie Apps — Three Questions That Decide What I Build
Apple Foundation Models are now free for developers under 2M first-time downloads. Three questions I used to decide which AI features belong in my wallpaper apps.
Building a SwiftUI Multimodal AI App with Antigravity and Gemma 4 — Camera, Photo Library, and Text Input in One Complete Guide
A complete implementation guide for building a multimodal AI app in SwiftUI using Antigravity and Gemma 4. Covers Core ML integration, camera and photo library handling, error management, and App Store privacy compliance.
Google AI Edge Eloquent: Running Google's AI Models Natively on iOS
Google AI Edge Eloquent is Google's framework for running Gemma and other Google models locally on iOS and Apple Silicon. Here's how it works, how it differs from Core ML, and how to implement it with Antigravity.
Gemma 4 × Android × Antigravity: Building On-Device AI Apps
Gemma 4 brings serious on-device AI inference to Android via Qualcomm and MediaTek NPUs. This guide shows how to integrate Gemma 4 through Android AICore into your Android app using Antigravity as your development environment.
Android Bench 2026: AI Model Benchmark Comparison and What Developers Need to Know
A practical guide to using Android Bench to compare AI models on Android devices in 2026. Covers key benchmark metrics, cloud vs. on-device tradeoffs, and how to choose the right AI model for your app.