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.
How to Build an Automated Data Collection Tool by Combining Gemini API Structured Output with Web Scraping
Learn how to combine Gemini API Structured Output with Python web scraping to automatically collect and format data from competitor sites, news feeds, and e-commerce pages — no brittle CSS selectors required.
Gemini API Files API Errors: Complete Troubleshooting Guide 2026
Struggling with Gemini API Files API errors? This guide covers the most common issues—PROCESSING state loops, MIME type mismatches, file size limits, and NOT_FOUND errors—with working Python code examples and practical solutions.
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.
Building a Real-Time Voice AI Agent with Gemini Live API and AudioWorklet: Complete Production Guide
Learn how to build a browser-based real-time voice AI agent using Gemini Live API and Web Audio API. This guide covers sample rate conversion, VAD, automatic reconnection, Ephemeral Token authentication, and production deployment.
Complete Google Gemini Python SDK Migration Guide: Migrating from google-generativeai to google-genai and Unlocking Gemini 2.5 Pro's Full Potential
A complete guide to migrating from google-generativeai to google-genai. Covers API changes, step-by-step migration, Gemini 2.5 Pro's latest features, and how to fix common migration errors in production.
Gemini API System Instructions and Prompt Design — Practical Techniques to Dramatically Improve Output Quality
Practical techniques for designing system instructions and prompts that produce stable, high-quality output from the Gemini API. Includes working code examples for format control, few-shot learning, temperature tuning, and error handling.
Gemini 2.5 Pro vs Previous Versions — Performance Comparison and Implementation Guide
Deep dive into Gemini 2.5 Pro vs 2.0 Flash: performance metrics, response latency, cost efficiency, and when to migrate with production code examples.
Gemma 4 Audio Input and OCR: The Hidden Capabilities Only E2B and E4B Have
Gemma 4's E2B and E4B models are the only variants with native audio input, OCR, and multilingual handwriting recognition. Here's how to implement offline multimodal apps using these capabilities, with practical code examples.
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.
Fixing Gemini API Errors: 5 Common Problems Developers Hit and How to Solve Them
Gemini API throwing 400 INVALID_ARGUMENT, 429 RESOURCE_EXHAUSTED, or model not found errors? This guide covers the 5 most common issues with exact error messages and step-by-step fixes, including migrating to gemini-2.5-pro-latest.
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.