Building AI-Powered iOS and Android Apps with the Gemini API — Image Recognition, Voice Analysis, Chat, and Monetization
Architecture patterns, cost optimization, and monetization for adding image recognition, voice analysis, and AI chat to iOS/Android apps with the Gemini API — updated with Gemma 4 routing and the mandatory API key restriction change.
Integrating Gemini 3.2 Pro Function Calling into iOS/Android Apps: Production Design Patterns
A practical guide to integrating Gemini 3.2 Pro Function Calling into iOS and Android apps. Includes working SwiftUI, Kotlin, and Python code, plus production patterns proven in a real indie wallpaper app — cost, latency, staged rollout, and regression testing.
Gemini API × Android Jetpack Compose Complete Integration Guide — Production Design Patterns for Kotlin Native AI Apps
Build native Android AI apps with Kotlin and Jetpack Compose. Covers Google AI SDK, MVVM, multimodal chat UI, Room DB, WorkManager, and production security.
Gemini × Android Studio: AI-Powered App Development — Code Assist & Agent Mode
A practical look at Gemini in Android Studio, backed by measurements from indie development. Learn how to choose between Code Assist completion, Agent Mode MVVM scaffolding, test generation, and debugging.
Building AI-Powered Android Apps with Gemini API and Kotlin
Integrate Gemini API into a Kotlin Android app with the Firebase AI Logic SDK — from setup through production realities: measured first-token latency, model tiering, on-device fallback, and cost estimation, with notes from real indie-app use.