◉GEMINI LABJP
●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20
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⟐ Gemini Dev/2026-04-18Advanced

Gemini API × Kotlin Multiplatform: to Shared AI Logic for iOS and Android

A complete guide to integrating Gemini API with Kotlin Multiplatform (KMP) for shared AI logic across iOS and Android. Covers Gradle setup, Ktor HTTP client, SwiftUI/Compose UI, secure API key management, multimodal image analysis, and production deployment.

⟐ Gemini Dev/2026-04-01Beginner

Gemini × Rork: Build iOS/Android Apps with AI — 2026

A practical guide to building iOS and Android apps using Gemini and Rork. Learn how to integrate the Gemini API into an AI-generated React Native project — from UI scaffolding to intelligent chat, image analysis, and beyond.

⟐ Gemini Dev/2026-03-27Advanced

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.

⟐ Gemini Dev/2026-03-21Advanced

When Gemini Nano Won't Run — Chrome and Android Have Different Doors

Pasting a Gemini Nano sample often fails. Chrome moved from the ai.* namespace to LanguageModel, and Android's entry point is ML Kit GenAI. Here is what works today, plus the device requirements nobody mentions.

◉ Gemini Basics/2026-03-20Beginner

How to Use the Gemini App: A Beginner's Guide to AI on Your Smartphone

Master the Gemini app on iPhone and Android. Learn text conversations, image recognition, voice input, and Google service integration for everyday AI use on your smartphone.