All Articles
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.
Mastering Gemini Memory — Import, Manage, and Fine-Tune Your AI's Context
Learn how to use Gemini's memory (Saved Info) and the new memory import feature. Transfer context from ChatGPT or Claude, manage privacy with Temporary Chats, and personalize your AI experience.
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.
Prompt Engineering for Gemini 2.5 Pro: 5 Techniques to Maximize Coding Output Quality
Five prompt design techniques that dramatically improve Gemini 2.5 Pro's code generation quality, with before-and-after comparisons and empirical results.
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.
Building Agentic Systems with Gemma 4: Mastering Function Calling
A practical guide to implementing Function Calling with Gemma 4 for building reliable agentic systems. Learn how Gemma 4 differs from other open models, structured JSON output, and system prompt optimization with code examples.
Gemma 4 MoE vs Dense: Architecture Selection and Performance Optimization Guide
Deep dive into Gemma 4's 26B MoE vs 31B Dense: measured benchmarks, use-case selection criteria, quantization strategies, and deployment configurations from edge to cloud.
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.
Connecting Gemini Agents with Google's A2A Protocol: Design, Implementation, and Cloud Run Operations
Build cross-framework agent coordination with the Agent2Agent (A2A) protocol and Gemini API. Agent card design, measured comparison of three coordination patterns, and the operational details that matter on Cloud Run.