All Articles
Designing a Production Prompt Management System for Gemini API — Versioning, A/B Testing, and Canary Rollouts
A complete implementation guide for solving the prompt versioning, attribution, and safety challenges in production Gemini API deployments — using FastAPI, PostgreSQL, Redis, A/B testing, and canary rollouts.
Building an AI Document Assistant with Gemini 2.5 Pro — Analyze PDFs, Images & Text to Auto-Generate Markdown Reports
Learn how to use Gemini 2.5 Pro's File API and multimodal capabilities to batch-analyze PDFs, images, and text files, automatically generating structured Markdown reports. Includes complete, runnable Python code.
Gemini 2.5 Pro vs 2.0 Flash — Picking a Default Model for Solo Development
A hands-on comparison of Gemini 2.5 Pro and 2.0 Flash from a solo developer's view: where accuracy actually diverged on structured extraction, latency and per-request cost, and the Flash-by-default, Pro-where-it-matters routing I settled on.
Veo API Not Working? Common Errors and How to Fix Them
Troubleshoot common Veo API errors including polling implementation mistakes, safety filter rejections, quota exceeded, and video file download failures. With working Python code examples.
Gemini API Embeddings vs Vector Databases: Pinecone, Qdrant, pgvector, and Cloud Spanner Compared for Production
Benchmark Pinecone, Qdrant, pgvector, and Cloud Spanner Vector using Gemini text-embedding-004 with real latency, cost, and code. The definitive production selection guide.
Getting Started with Veo 3.1 Lite API: Cost-Effective Video Generation
Learn how to implement cost-effective AI video generation with Google's Veo 3.1 Lite API. This guide covers text-to-video and image-to-video implementation with practical code examples, cost optimization techniques, and production-ready error handling patterns.
Wallpaper Classification on the Gemini API — Migrating Off the Legacy SDK, and Tuning Resolution, Confidence, and Cost
Implementation notes from automating wallpaper classification with the Gemini API: migrating to @google/genai, resizing to a 1024px long edge, receiving results via responseSchema, confidence thresholds, retrying only on 429/5xx, and tracking real cost with usageMetadata.
Gemini API Multimodal Input Optimization — Production Techniques to Cut Token Costs for Images, PDFs, Video, and Audio
Cut your Gemini API multimodal token costs by up to 70% in production. Practical optimization techniques for images, PDFs, video, and audio with working Python code examples.
Building Voice Apps with Gemini 2.5 Flash TTS: From Low-Latency Synthesis to Production Optimization
How to build voice apps with Gemini 2.5 Flash TTS. Covers low-latency speech synthesis, expressiveness control, streaming playback, and cost optimization with implementation code.
Mastering Gemini API Streaming Responses — Chunk Processing, Error Recovery, and UX Optimization
A production-grade guide to implementing Gemini API streaming responses. Covers chunk parsing internals, automatic recovery from disconnections, and rendering strategies that create a polished user experience.
Gemini API Production Performance Tuning — A Triple Optimization Strategy for Latency, Throughput, and Cost
Learn how to simultaneously optimize latency, throughput, and cost in production Gemini API deployments. Covers Flex/Priority inference, Context Caching, intelligent model routing, and async batch processing with working code and benchmark results.
Fixing Gemini API 'Model Not Found' Errors: A Complete 2026 Guide
Getting a 'model not found' or INVALID_ARGUMENT error in the Gemini API? This guide explains every cause and fix, including correct model names for 2026 and how to use generativelanguage.googleapis.com properly.