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Building an AI-Powered Report Generation Pipeline with Gemini × Google Sheets Apps Script
Learn how to call Gemini API from Google Apps Script to build a production-grade pipeline that automatically analyzes spreadsheet data, generates reports, and delivers them on schedule.
Gemini API Production Security Guide — API Key Management, Prompt Injection Defense, and Audit Logging
A comprehensive guide to securing your Gemini API in production. Covers 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.
Gemini App Actions: How Pixel's New Agentic AI Automates Shopping, Transportation, and Smart Home Control
March 2026 Pixel Drop introduces Gemini App Actions—an agentic AI that executes tasks across third-party apps (shopping, booking, smart home). Learn how it works, integrate your app, and capitalize on the 750M Gemini user ecosystem.
NotebookLM & Gemini Integration Guide — Understand Papers, PDFs, and Videos Instantly with AI
Master NotebookLM and Gemini integration to rapidly analyze papers, PDFs, and YouTube videos. Learn practical techniques including podcast generation for advanced document understanding.
Building an Integrated AI Agent Development Environment with Gemini CLI and AGENTS.md—Multi-AI Tool Configuration
Master Gemini CLI and AGENTS.md (adopted by 60,000+ repos) to build an integrated development environment. Configure multiple AI tools (Gemini CLI, Claude Code, Codex) to work together seamlessly.
Gemini API × BigQuery: AI-Powered Data Analysis — From Natural Language Queries to Actionable Insights
Learn how to combine Gemini API with BigQuery for natural language data analysis. Covers SQL auto-generation, result summarization, and production-ready patterns with practical Python code examples.
Google Gemini Reaches 750 Million Monthly Users: Growth Drivers, Market Impact, and Opportunities for Developers
Google Gemini surpassed 750 million monthly active users in Q4 2025. Explore the growth factors, business implications, and practical strategies for developers to capitalize on this momentum.
Gemini API Function Calling Practical Guide — Complete External Tool Integration
Master Gemini API's Function Calling feature to integrate external tools and APIs. Step-by-step Python examples covering weather APIs, database queries, and multi-tool orchestration.
Apple × Gemini Distillation Explained — The Dawn of On-Device AI
Apple is distilling Google's Gemini models into smaller on-device AI models for iPhone and Mac. Learn how knowledge distillation works, its impact on Siri, and the future of edge AI.
Gemini API AI Gateway Design Patterns — Building a Unified Proxy for Rate Limiting, Failover, and Cost Tracking
An advanced guide to designing and implementing an AI gateway (proxy server) for production Gemini API deployments. Learn how to unify rate limiting, automatic failover, token cost tracking, and multi-model routing in a single architecture layer.
Gemini × Gmail Productivity Guide — Draft, Summarize, and Organize Emails with AI
Learn how to use Gemini AI in Gmail to draft emails, summarize long threads, and organize your inbox. A practical guide to Help me write, summarization, and the Q&A side panel.