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.
Multimodal RAG with Gemini API — Cross-Format Search over Images, PDFs, and Video
Build a production-grade multimodal RAG pipeline with Gemini 2.5 Pro: unified vector search across text, images, PDFs, and video with cost optimization and scaling patterns.
Building Production Semantic Search with Gemini Embeddings API — Design, Implementation, and Operations
A comprehensive guide to building production-grade semantic search with Gemini Embeddings API. Covers vector DB selection, reranking, recommendation engines, and cost optimization with practical code.
Long-Term Memory and Session Persistence with Gemini API — Design Patterns for Production Chatbots
Master the design patterns for long-term memory management, session persistence, and token budget control essential for building production-grade chatbots with Gemini API.
Gemini 3.1 Flash High-Speed Inference API: Implementation Techniques for Streaming, Function Calling & Batch Processing
Master the technical architecture of Gemini 3.1 Flash and understand how fast inference works. Learn optimal implementation patterns for streaming, function calling, and batch processing with code examples. Make data-driven model selection decisions by comparing Flash with Pro models.
Gemini 3.1 Pro × Cloud Run: Building Production Serverless AI APIs
Deploy Gemini 3.1 Pro on Cloud Run with SSE streaming, auto-scaling, cold start optimization, and production monitoring — the definitive guide to building serverless AI APIs.
Building with the Gemini API in Go — Text Generation, Image Analysis, Streaming, and Production Design
Implement the Gemini API in Go with the official Google Gen AI SDK — text generation, image analysis, and streaming, plus the production concerns quickstarts skip: goroutine throttling, timeout design, and model selection, all with complete code.
Gemini API Production Security Guide — API Key Management, Prompt Injection Defense, and Audit Logging
Securing the Gemini API in production: API key rotation, input/output sanitization, prompt injection defense, audit logging, and rate limiting, with production-ready code.
Gemini API AI Gateway Design Patterns — Building a Unified Proxy for Rate Limiting, Failover, and Cost Tracking
An advanced guide to designing and implementing an AI gateway (proxy server) for production Gemini API deployments. Learn how to unify rate limiting, automatic failover, token cost tracking, and multi-model routing in a single architecture layer.
Building a Prompt Evaluation & Optimization Pipeline with Gemini API — Automated Quality Scoring with LLM-as-Judge
Learn how to build a prompt evaluation pipeline using Gemini API. Covers the LLM-as-Judge pattern, A/B testing prompts, automated quality scoring, and cost-quality optimization for production systems.
Running a Gemini + LINE Bot in Production — Reply Token Expiry, Duplicate Replies, and Cold-Start Latency
The first walls you hit putting Gemini behind a LINE Bot are the 30-second reply-token expiry, duplicate replies from webhook redelivery, and Cloud Run cold starts. This guide solves them with loading animations, push-message fallback, idempotency, and Firestore-backed history — with working code and measured numbers.