All Articles
Build a Personalized Recommendation System with Gemini Embedding API — Real-Time Content Recommendations from User Behavior
Learn how to build a real-time personalized recommendation system using Gemini Embedding API. Covers system design, user profile modeling, cosine similarity ranking, caching, and production scaling — with complete Python code.
Running Gemini 2.5 Pro in Production: A Practical Implementation Guide
A production-focused guide to Gemini 2.5 Pro: streaming API, Context Caching for 75% cost reduction, Thinking budget control, multi-turn conversation management, and complete error handling patterns.
Gemini API Multi-Turn Chat Breaking: Chat History Management Pitfalls and Fixes
When building multi-turn conversations with the Gemini API, longer chats cause token overflow, slowdowns, and context loss. Learn how to use ChatSession correctly with practical code examples for managing chat history.
5 Common Gemini API Errors and How to Fix Each One
Hit an error using the Gemini API? This guide covers the five most common issues — invalid API keys, rate limits, wrong model names, context overflow, and blocked responses — with working code fixes for each.
Practical Techniques for Handling Japanese Text with the Gemini API
Learn practical techniques for getting high-quality Japanese text output from the Gemini API. Covers system instructions for style consistency, few-shot prompting for nuance, and long-text chunking — all with working Python code examples.
Gemini API Caching in Production — Operational Notes from an Indie Mobile Developer
Field notes on running Gemini API's Context Caching and Implicit Caching together inside indie mobile apps. Includes working Python code, six months of measured costs from AdMob-funded apps, and seven non-obvious operational pitfalls.
Common Gemini API Errors for First-Time Users — And How to Fix Them
Just grabbed your Gemini API key and hitting errors right away? This guide covers the most common pitfalls in your first hours with the API — from SDK setup and environment variables to response handling and rate limits.
Building an Automated Content Pipeline with Veo 3 & Lyria 3 Pro API — Mass-Producing Video + Music
Learn how to combine Veo 3 and Lyria 3 Pro APIs to automatically generate and merge video and music from text prompts. Covers setup, production-ready Python code, error handling, common pitfalls, and cost optimization strategies.
Combining Gemini API Function Calling and Search Grounding in a Real-Time Information Agent
A design pattern for using Function Calling and Google Search Grounding together in a single agent. Build practical information agents that combine real-time data retrieval with structured tool output.
Gemini 2.0 Flash Is Being Deprecated June 1 — How to Migrate to 2.5 Flash Now
Gemini 2.0 Flash will be deprecated on June 1, 2026. Here's exactly how to migrate to 2.5 Flash — code changes, key differences, and the common pitfalls to watch out for.
Stuck on Gemini 2.5 Flash API? 5 Common Errors and How to Fix Them
Practical troubleshooting for the 5 most common Gemini 2.5 Flash API issues: model name confusion, thinking_budget misconfiguration, 429 quota errors, structured output failures, and multi-turn context loss — with working code examples.
Gemini API + Python: Sentiment Analysis on App Reviews with Structured Output
A complete Python sample using Gemini API's Structured Output to classify App Store reviews into sentiment scores, categories, and priority levels as typed JSON. Uses Pydantic for type-safe results.