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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 cheaplyOMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflowsAGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactionsMEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuouslyTHROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and regionDEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaplyOMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflowsAGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactionsMEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuouslyTHROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and regionDEPRECATE — 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 Dev/2026-04-05Advanced

Building Production AI Data Pipelines with Gemini API and Apache Airflow: A

Learn how to combine Apache Airflow with the Gemini API to build production-grade AI data pipelines. Covers DAG design, error handling, cost optimization, and monitoring with complete Python code examples.

Gemini API/2026-04-05Advanced

Building Real-Time AI Event Streaming Pipelines with Gemini API and Apache Kafka: Production

A comprehensive guide to designing and implementing production-grade real-time AI pipelines using Apache Kafka and Gemini API. Covers Consumer Group design, backpressure control, circuit breakers, and cost optimization.

Gemini API/2026-04-04Advanced

Automating App Store Reviews with Gemini API and App Store Connect API: Implementation Notes from Running 50M-Download Apps

Implementation notes for combining Gemini API and App Store Connect API to handle review sentiment analysis, reply drafting, competitor monitoring, and weekly ASO reports in Python. Includes lessons learned from running indie apps with over 50 million cumulative downloads.

Gemini API/2026-04-03Advanced

Building Event-Driven Async AI Pipelines with Gemini API — Pub/Sub, Webhooks, and Queue Integration for Production

A deep dive into designing event-driven asynchronous AI pipelines using Gemini API with Google Cloud Pub/Sub, webhooks, and Redis queues. Includes the design pitfalls and live cost/throughput numbers from running this stack across the four Dolice Labs sites and several iOS/Android apps.

Gemini API/2026-04-03Intermediate

Building a Production RAG System with Gemini Embedding API and Pinecone

A step-by-step guide to building a production-ready RAG system using Gemini Embedding API and Pinecone. Covers index design, query optimization, chunking strategies, and cost management with practical Python code.

Gemini API/2026-04-02Beginner

Automate AI Workflows with Gemini API and n8n

Learn how to connect Gemini API with n8n to automate AI-powered workflows. From basic HTTP Request nodes to advanced AI Agent setups — with practical code examples throughout.

Gemini API/2026-04-01Advanced

Growing a Customer Support Chatbot with Gemini API: An Implementation Notebook

An implementation notebook for building a production-ready customer support chatbot with Gemini API, covering three-layer system prompts, Function Calling for FAQ lookup, escalation design, and seven pitfalls not covered in the official documentation, drawn from indie developer experience.

Gemini API/2026-04-01Advanced

Mastering Gemini 2.5 Pro System Instructions — Production-Grade AI Assistant Design Patterns

A deep-dive practical guide to mastering Gemini 2.5 Pro system instructions. Learn persona design, output control, safety guardrails, A/B testing, and version management with full code examples for production environments.

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 API/2026-03-30Advanced

Gemini API Observability in Production — Logging, Monitoring, and Cost Tracking Patterns

Learn how to build a robust observability stack for production Gemini API deployments. Covers structured logging, token usage tracking, latency monitoring, and cost optimization dashboards with full implementation code.

Gemini API/2026-03-30Beginner

Text Classification and Sentiment Analysis with Gemini API and Python — A

Learn how to build text classification and sentiment analysis pipelines using the Gemini API and Python. Leverage Structured Output for reliable labeling of customer reviews, support tickets, and social media posts.

Gemini API/2026-03-30Intermediate

How to Build an Audio Transcription and Summarization App with Gemini API and Python

Learn how to build an audio transcription and auto-summarization app using Gemini API's multimodal capabilities and Python, with step-by-step code examples.