◉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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Data Analysis

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Gemini API5Python3Streamlit2Automation2BI1Authentication1Production1visualization1structured output1Google Analytics 41GA41Business Intelligence1
⟐ Gemini Dev/2026-05-24Advanced

Running Streamlit + Gemini as a Production BI Dashboard — Auth, Cost, Caching, Rate Limits, Observability

A design memo for promoting a Streamlit + Gemini data analysis app into a real multi-user internal BI dashboard — authentication, cost optimization, result caching, per-user rate limits, and observability, all from production experience.

⟐ Gemini Dev/2026-05-03Advanced

Build a CSV Insight App with Gemini API and Streamlit — A Production-Ready Dashboard with Auto-Insights and Visualization

A production-grade implementation guide for a Streamlit + Gemini API data analysis app. Upload a CSV, get auto-insights and visualizations in seconds. Covers schema inference, structured output, and real-world rate-limit handling.

◧ Workspace/2026-04-06Advanced

Gemini API × Google Analytics 4: AI-Powered Business Intelligence — Anomaly Detection, Forecasting & Automated Reporting

Learn how to connect Gemini API with the GA4 Data API to build a production-ready BI pipeline featuring natural-language queries, anomaly detection, automated weekly reports, and Slack alerts.

⟐ Gemini Dev/2026-03-21Intermediate

NemoClaw × Gemini — Enterprise AI Agents for Data-Driven Revenue Automation

A practical guide to revenue automation with NVIDIA NemoClaw and Gemini API. Leverage Gemini's search grounding, multimodal processing, and million-token context with NemoClaw's agent orchestration to build data analysis SaaS, content pipelines, and Google Workspace automation.

◈ Gemini API/2026-03-14Advanced

Gemini Code Execution API: to AI-Generated Code Execution

Master the Gemini Code Execution API. Execute Python code generated by AI in a secure sandbox, perform complex calculations, and automate data analysis tasks.