All Articles
Gemini in Google Workspace 2026: New Features in Docs, Sheets, Slides & Drive
A deep dive into Google's March 2026 Gemini Workspace update — covering Help me create, Ask Gemini in Drive, Match writing style, and AI-powered Sheets. Includes code samples for developers.
Gemini 1M Token Long Context Strategies — Production Patterns for Large Document Processing
Master Gemini 2.5 Pro's 1M token context window for production workloads. Covers context caching, chunking strategies, RAG comparison, cost optimization, and real-world codebase + PDF corpus analysis.
Vertex AI Gemini Production Guide— Enterprise-Scale Deployment Implementation
Deploy Gemini at enterprise scale on Vertex AI. Covers service account auth, provisioned throughput, prompt filtering, Cloud Run integration, monitoring, and cost management for production workloads.
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.
Fine-Tuning Gemini: Building Specialized Models for Domain-Specific Applications
Complete guide to fine-tuning Gemini models. Learn dataset preparation, training strategies, evaluation metrics, and production deployment for custom AI.
Reading Gemini API Logs by What Survived — Field Notes on Logging & Datasets
Use the Gemini API logging and datasets tool from a results-first angle — not token counts or latency, but whether each output actually survived to publication. Includes tying log review to spend caps and API key hygiene.
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.
Wiring Gemini CLI into Your Shell and CI — Headless Runs and Session Resume
Move past interactive use of Gemini CLI: headless runs, JSON output, session resume, approval modes, and MCP. Includes the five ways headless runs break and a measured pro/flash comparison.
Gemini 2.5 Pro vs 2.5 Flash — Model Selection Guide by Use Case
Compare Gemini 2.5 Pro and Flash models. Explore performance, speed, cost, context windows, and practical use cases.
Gemini API Quickstart — Getting Started with Python and TypeScript
Get started with the Gemini API in Python or TypeScript — from API key setup and SDK installation to streaming, safety settings, and practical error handling.
Gemini External Tool Integration — Grounding and Function Calling in Practice
How to connect Gemini to external services and your own data, covering both the in-app integrations and the API tools parameter: Google Search grounding, the full Function Calling round-trip, and the latency and cost trade-offs to plan for.
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.