◉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 Advanced/2026-05-20Intermediate

Two Months With Gemini 2.5 Pro's 1M Context: What It's Actually Good (and Bad) At

An honest two-month review of using Gemini 2.5 Pro's 1M-token long context window on real work — organizing 12 years of indie-developer notes, cross-checking large MDX archives, and learning where short prompts still beat long ones.

⬡ Gemini Advanced/2026-04-27Advanced

Designing a Daily Reading Practice With Gemini as Your Reading Partner

How to use Gemini at a closer distance than 'researcher' — as a daily reading assistant. The operating model I have settled into for cross-domain reading as a solo developer and artist.

⬡ Gemini Advanced/2026-04-06Advanced

Gemini 2.5 Pro Business Masterclass: Thinking, Long Context, and Multimodal for Advanced Users

An advanced guide to unlocking Gemini 2.5 Pro's full business potential — Thinking mode for complex decisions, 1M-token context for large document analysis, multimodal for data interpretation, and API automation design. Includes production-ready prompt frameworks.

◈ Gemini API/2026-03-14Advanced

Gemini 1M Token Long Context Strategies — Production Patterns for Large Document Processing

Master Gemini 2.5 Pro's 1M token context window for production workloads. Covers context caching, chunking strategies, RAG comparison, cost optimization, and real-world codebase + PDF corpus analysis.