All Articles
Why Apple Is Distilling Gemini into Its On-Device Models
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.
Automated Monetization Infrastructure with Gemini API — 6 Revenue Engines Powered by Multimodal AI and Function Calling
A comprehensive guide to 6 automated revenue engines built on Gemini API's multimodal processing, Function Calling, and context caching. Covers SaaS, API services, content pipelines, data analysis, Workspace integration, and education platforms.
Gemini 3 Deep Think in Production: Advanced Reasoning Patterns & Optimization
Master production deployment of Gemini 3's Deep Think feature. Learn parallel reasoning flows, research applications, multi-step chains, and cost optimization strategies for AI Ultra subscribers.
Gemini Workspace AI Expanded Access: Advanced Automation Guide 2026
Master Gemini Workspace's March 2026 AI Expanded Access add-on. Build multi-app automations with Gemini 3 Pro, Workspace Studio, and Apps Script for enterprise workflows.
Building Serverless AI Apps with Firebase Genkit and Gemini — An Implementation Notebook
A hands-on implementation notebook for building serverless AI apps with Firebase Genkit and Gemini. Flows, agents, and RAG on the current Genkit 1.x API, plus per-flow usage logging that turns spend into an itemized bill, the gaps between the Dev UI and production, and cold-start tuning.
Automate Your Daily Tasks with Gemini API — An Engineer's Guide to AI-Powered Workflows
Learn how to automate routine engineering tasks like PR descriptions, code reviews, meeting notes, and release notes using the Gemini API with practical Python examples.
Building a Prompt Evaluation & Optimization Pipeline with Gemini API — Automated Quality Scoring with LLM-as-Judge
Learn how to build a prompt evaluation pipeline using Gemini API. Covers the LLM-as-Judge pattern, A/B testing prompts, automated quality scoring, and cost-quality optimization for production systems.
Google AI Pro's Hidden Perks — How to Make the Most of 2TB Storage, NotebookLM Plus, and 1,000 AI Credits
Google AI Pro ($19.99/month) includes much more than Gemini Advanced. Discover the hidden perks — 2TB storage, NotebookLM Plus, 1,000 AI credits, and more — that make this plan an incredible value.
NotebookLM API × Gemini API — Automate Your Research Workflow with Python
Build an automated research pipeline by combining the NotebookLM Enterprise API and Gemini API in Python. Complete with working code examples for paper collection, summarization, podcast generation, and report creation.
Gemini API Context Caching— Cut Document Processing Costs by 90%
Learn how to use Gemini API's context caching to reduce repetitive document processing costs by up to 90%. Includes Python SDK implementation, caching strategies, and cost calculations.