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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.