◉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 API3prompt engineering1System Instructions1Chain-of-Thought1Gemini 31Few-shot1self-evaluation1TanStack Query1Streaming1Production1Figma1Canvas1
⬡ 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

Production Streaming UI with Gemini API + TanStack Query — Cancellation, Retries, and Cache Coherence

TanStack Query is optimized for one-shot REST/JSON requests, so streaming responses don't fit naturally. This guide walks through the gotchas of using Gemini API SSE with TanStack Query and the production-grade design patterns that hold up in real apps.

◧ Workspace/2026-04-07Advanced

Gemini × Frontend Development: Canvas, API Automation, and A/B Testing at Scale

A comprehensive guide to using Gemini for serious frontend development. Covers Canvas mode techniques, Gemini API automation for bulk LP generation, React component creation, accessibility auditing, Core Web Vitals optimization, and design system building.