◉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/2026-07-14Advanced

Before One Runaway Experiment Drains the Shared Budget: Using AI Studio Spend Caps as Isolation Walls

When you run several Gemini experiments under one billing account, a single runaway loop takes everything else down with it. Here is how I use AI Studio's per-project spend caps as isolation walls, plus a client-side soft ceiling and monthly reconciliation, with working code.

⟐ Gemini Dev/2026-07-02Intermediate

After the One-Click Deploy — Hardening an AI Studio Gemini App on Cloud Run for Real Production Use

AI Studio's one-click deploy to Cloud Run gives you a working URL in minutes — but not a production service. A practical checklist for API key storage, authentication, cost ceilings, and observability, with copy-paste gcloud commands.

⟐ Gemini Dev/2026-06-15Beginner

Building Web Apps with Gemini — Prompt Design and Pitfalls in Google AI Studio

How to structure your prompts when asking Gemini to build web apps in Google AI Studio — and the pitfalls I actually ran into as an indie developer.