All Articles
Build a Personal AI Secretary with Gemini API — Task Automation, Email Summaries & Schedule Optimization for Solopreneurs
A complete guide to building a production-grade AI secretary system for freelancers and solopreneurs using Gemini API. Covers Function Calling implementation for task automation, email summarization, and schedule optimization, all the way through Cloud Run deployment.
Building Enterprise Automation Workflows with Gemini Computer Use — Designing and Implementing Browser-Based AI Agents
A practical, production-focused guide to browser automation with Gemini 2.5 Computer Use. Covers API architecture, Playwright integration, enterprise use cases (expense processing, data collection, UI testing), safety design patterns, and production deployment strategies.
Deep Dive into Gemini's Speech-to-Speech Translation — Technology Architecture and Developer Applications
Comprehensive technical exploration of Gemini 2.5's speech-to-speech translation. Learn the end-to-end architecture, Native Audio API implementation, low-latency techniques, and production deployment 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.
Applying TurboQuant to RAG and Vector Search — New Uses for KV Cache Compression
Google's TurboQuant compression technology extends beyond LLM inference to RAG pipeline vector databases. Learn how embedding vector compression can improve memory efficiency, search speed, and scalability for large-scale RAG systems.
TurboQuant Technical Deep Dive: PolarQuant and QJL Algorithms Explained
Explore the mathematics behind TurboQuant's PolarQuant and QJL algorithms at the formula level. Compare with GPTQ, AWQ, and SqueezeLLM. Understand implementation details and TurboQuant's transformative potential for Gemini.
Driving a Browser with Gemini 3 Pro's Computer Use Tool: Implementation and Safety
Master Google's Computer Use Tool in Gemini 3 Pro. Learn browser automation, API integration, production patterns, and safety best practices for building AI agents.
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.
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 Cloud Functions deployment, cost control through model routing, and cold-start tuning from an indie developer's perspective.