All Articles
Dynamic Few-Shot for Gemini API — A Self-Improving Prompt That Picks Examples by Vector Search
Hand-picked, hard-coded few-shot examples stop scaling once your inputs drift. This guide builds a Gemini Embeddings + vector search pipeline that selects the best 3-5 examples per request and grows them from production feedback, with copy-paste code.
Gemini API Best Temperature for Translation Tasks — Optimal Values by Use Case
Choosing the right temperature for Gemini API translation tasks is harder than the docs let on. This guide gives you tested values, side-by-side outputs, and production patterns by use case.
Track Gemini API Costs in Production with usageMetadata — A Per-Request Logging Pattern That Reconciles With Your Bill
A practical pattern for capturing Gemini API's usageMetadata on every request so you can attribute spend by endpoint, user, and model — and reconcile against the Google Cloud bill at the end of the month. Covers cached and thoughts tokens, JSONL logging, and a daily budget alert.
Beyond Embeddings: Production Reranking with Vertex AI Ranking and Gemini-as-Judge
When pure embedding search nails the top-3 but buries the right answer at rank 4, you need a reranker. This guide walks through a production-grade two-stage architecture using Vertex AI Ranking API and Gemini-as-judge — with cost, latency, and evaluation patterns that hold up under load.
Gemini API Won't Connect Through Corporate Proxy or SSL Verification — A Troubleshooting Walkthrough
Your Gemini API script worked on your personal laptop, but the corporate Windows machine just hangs. Isolate proxy, SSL, and certificate issues layer by layer with working Python and Node.js examples.
Gemini API: GEMINI_API_KEY vs GOOGLE_API_KEY — Which One Should You Actually Use?
A practical, SDK-by-SDK guide to the GEMINI_API_KEY vs GOOGLE_API_KEY confusion. Covers precedence rules, the Vertex AI auto-switch, and four real-world traps with diagnostic snippets you can paste into a running app.
Teaching Gemini Your Own Writing Voice: Prompt Design for Solo Creators, and How to Avoid Overfit
Letting AI write for me always produced text that sounded like 'someone else.' Here's how I taught Gemini to keep my voice across articles, plus how I avoid the surprising overfit problem when you feed it too many samples.
GEMINI.md Examples by Project Type — Templates for Next.js, Python, CLI Tools, and Mobile Apps
Your GEMINI.md file directly shapes how smart Gemini CLI feels in your project. Here are battle-tested templates for Next.js, Python, CLI tools, and mobile apps — plus the patterns that make them effective.
Production-Grade Spatial Understanding with Gemini 2.5 Pro: Bounding Boxes and Segmentation Done Right
A production-focused guide to wiring Gemini 2.5 Pro's bounding-box and segmentation outputs into mobile and web apps — covering coordinate normalization, mask decoding, hallucination detection, and automatic fallback to YOLO.
Build a $500/Month Side Income with Google Workspace × Gemini Automation — 3 Ready-to-Sell Templates
Turn Google Workspace automation into a recurring side income by selling Gemini-powered services to small businesses. Includes 3 deployable templates and a pricing blueprint.
Building Local Agents with Gemma 4's Function Calling
Learn how to implement private, on-premises AI agents using Gemma 4's dedicated Function Calling tokens without relying on cloud APIs.
Google's Stitch DESIGN.md Format Goes Open Source — A New Way to Share Design Systems with AI
Google Labs just open-sourced Stitch's DESIGN.md format—a machine-readable specification for design systems. Learn how to use it and why it matters for AI-powered design tools.