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.
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.
Defending Gemini API Apps from Prompt Injection: A Multi-Layer Production Architecture
A four-layer prompt injection defense for Gemini apps: sanitized input, hardened prompts, structured output, and a moderator LLM — with runnable Python.
When Gemini Computer Use Acts on a Stale Screen and Fails Quietly — Field Notes on Guarding the Loop
A Computer Use agent will click based on a screenshot taken moments ago, miss the real target, and throw no error. These are field notes on measuring those silent misclicks and stopping them with an observe-act-verify loop.
Harden the Layer Before Gemini Sees User Media — A Validation Pipeline You Can Actually Run
Piping user-uploaded images and video straight into Gemini walks you into MIME spoofing, EXIF leaks, decompression bombs, and video that isn't ready yet. Here's the validation layer—magic-byte sniffing, Files API state polling, and cleanup—built up in working code.
When Gemini Gems Ignore Your Instructions or Refuse to Save
Gemini Gems ignoring your custom instructions, failing to save, or resetting mid-conversation? This guide covers all 7 common issues with specific causes and fixes, plus a practical template for building Gems that actually work.
Mastering Gemini 2.5 Thinking Budget — Pro Techniques to Balance Cost and Accuracy
Controlling Gemini 2.5's Thinking Budget in production: task-based settings, a dynamic budget allocation system, and monitoring strategies that cut API costs by up to 70%.
Multimodal RAG with Gemini API — Cross-Format Search over Images, PDFs, and Video
Build a production-grade multimodal RAG pipeline with Gemini 2.5 Pro: unified vector search across text, images, PDFs, and video with cost optimization and scaling patterns.
Long-Term Memory and Session Persistence with Gemini API — Design Patterns for Production Chatbots
Master the design patterns for long-term memory management, session persistence, and token budget control essential for building production-grade chatbots with Gemini API.
Gemini API Multimodal Techniques in Practice — Mastering Image, Video, Audio, and PDF Processing
Advanced implementation guide for integrating all 4 modalities (image, video, audio, PDF) with Gemini API. Learn streaming pipelines and Function Calling integration for production-ready multimodal AI systems.
Gemini API Production Security Guide — API Key Management, Prompt Injection Defense, and Audit Logging
Securing the Gemini API in production: API key rotation, input/output sanitization, prompt injection defense, audit logging, and rate limiting, with production-ready code.
Building an AI Code Quality Pipeline with Gemini API and GitHub Actions — Automated PR Reviews, Security Scanning, and Documentation Generation
Learn how to build a production-grade AI code quality pipeline using Gemini API and GitHub Actions that automates PR reviews, security vulnerability scanning, and documentation generation.