◉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 Basics/2026-07-09Beginner

Gemini Prompt Engineering Guide — System Instructions, Few-shot & Chain-of-Thought

Get stable output from Gemini through prompt design, using three techniques: System Instructions, Few-shot, and Chain-of-Thought. Includes a real pitfall I hit while auto-classifying images for a wallpaper app.

⬡ Gemini Advanced/2026-05-04Advanced

Gemini 3.x Prompt Engineering Complete Masterclass — System Instructions, Few-shot, CoT, ReAct & Self-Evaluation Loops with Working Code

A deep-dive masterclass on prompt engineering optimized for Gemini 3.x models. Learn System Instructions design, Few-shot selection strategies, CoT + Thinking Budget integration, ReAct patterns, and Critic-Refiner loops — all with production-ready Python code and before/after comparisons.

◈ Gemini API/2026-04-29Advanced

Dynamic Few-Shot for Gemini API — A Self-Improving Prompt That Picks Examples by Vector Search

Hand-picked, hard-coded few-shot examples stop scaling once your inputs drift. This guide builds a Gemini Embeddings + vector search pipeline that selects the best 3-5 examples per request and grows them from production feedback, with copy-paste code.