◉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 API/2026-06-14Intermediate

Generate With Flash, Escalate to Deep Think Only When Unsure: A Two-Stage Pipeline

With Deep Think opening up on the API, the move is not to route every request through the heavy model but to have Deep Think verify only when Flash's output looks shaky. Here is the cost reasoning and working code.

◈ Gemini API/2026-04-12Intermediate

Building Voice Apps with Gemini 2.5 Flash TTS: From Low-Latency Synthesis to Production Optimization

How to build voice apps with Gemini 2.5 Flash TTS. Covers low-latency speech synthesis, expressiveness control, streaming playback, and cost optimization with implementation code.

◈ Gemini API/2026-03-27Advanced

Gemini 3.1 Flash High-Speed Inference API: Implementation Techniques for Streaming, Function Calling & Batch Processing

Master the technical architecture of Gemini 3.1 Flash and understand how fast inference works. Learn optimal implementation patterns for streaming, function calling, and batch processing with code examples. Make data-driven model selection decisions by comparing Flash with Pro models.

◉ Gemini Basics/2026-03-14Beginner

Choosing a Gemini Model Without Second-Guessing — A Cost, Speed, and Quality Framework

How to pick between Gemini 2.5 Pro / Flash / Flash Lite / Gemini 3 Pro / Flash across cost, speed, and quality. Includes correct google-genai SDK code and the decision rules I use when running automation in production.