All Articles
Building Enterprise-Grade Gemini AI Platforms — From Multimodal Integration to Production Operations
Complete guide to building enterprise-scale AI platforms with Gemini API. Covers multimodal input processing, intelligent caching, error handling, scaling strategies, security, and production monitoring with code examples.
Gemini Model Tuning API Guide — Building Custom Models
Learn to build domain-specific custom models using Gemini's model tuning capabilities for specialized AI applications.
Gemini 2.5 Pro Production Agent Systems — Tool Calling, State Management & Orchestration
Build production-quality AI agent systems with Gemini 2.5 Pro. Covers parallel tool calling, agent state management, multi-step reasoning loops, error recovery, human-in-the-loop design, and real-world implementation patterns.
Building Multimodal RAG Systems with Gemini: Processing Images, Video, and Text Together
Master multimodal retrieval-augmented generation with Gemini. Learn to process images, video frames, and text in unified RAG pipelines with production patterns.
Putting Gemini's TTS to Real Work — Voices, Pacing, and What It Costs to Run
Field notes on adding Gemini's text-to-speech to a solo-developer app: calling it with the google-genai SDK, the raw-PCM-to-WAV gotcha, choosing voices and pacing, and how the costs actually add up.
Grounding with Google Search — Improve Gemini's Accuracy with Search
Learn how to use Gemini API's Grounding with Google Search to generate accurate, up-to-date responses. Covers Dynamic Retrieval, source citations, and cost management.