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●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/2026-04-09Intermediate

Gemini 2.5 Pro Latest API: The Complete Developer Guide for Advanced Usage

Everything developers need to master the gemini-2.5-pro-latest API — from model selection and streaming to Function Calling, multimodal inputs, and cost optimization.

◈ Gemini API/2026-04-03Intermediate

to Gemini API Function Calling: Tool Integration and Practical Usage

A practical deep dive into using Gemini API's Function Calling to give AI real tools and external API access. From design patterns to production implementation, covered systematically.

⬡ Gemini Advanced/2026-03-31Advanced

Build a Personal AI Secretary with Gemini API — Task Automation, Email Summaries & Schedule Optimization for Solopreneurs

A complete guide to building a production-grade AI secretary system for freelancers and solopreneurs using Gemini API. Covers Function Calling implementation for task automation, email summarization, and schedule optimization, all the way through Cloud Run deployment.

⬡ Gemini Advanced/2026-03-25Advanced

Automated Monetization Infrastructure with Gemini API — 6 Revenue Engines Powered by Multimodal AI and Function Calling

A comprehensive guide to 6 automated revenue engines built on Gemini API's multimodal processing, Function Calling, and context caching. Covers SaaS, API services, content pipelines, data analysis, Workspace integration, and education platforms.

◉ Gemini Basics/2026-03-20Intermediate

Gemini Practical Techniques [Part 1] — API Basics, Prompt Design & Multimodal Fundamentals

Curated practical techniques from Gemini Lab premium articles. Part 1 covers API basics, Function Calling, structured output, and multimodal input patterns.

⬡ Gemini Advanced/2026-03-14Advanced

Gemini 2.5 Pro Production Agent Systems — Tool Calling, State Management & Orchestration

Build production-quality AI agent systems with Gemini 2.5 Pro. Covers parallel tool calling, agent state management, multi-step reasoning loops, error recovery, human-in-the-loop design, and real-world implementation patterns.

⟐ Gemini Dev/2026-03-11Intermediate

Gemini External Tool Integration — Grounding and Function Calling in Practice

How to connect Gemini to external services and your own data, covering both the in-app integrations and the API tools parameter: Google Search grounding, the full Function Calling round-trip, and the latency and cost trade-offs to plan for.