Accelerate note Monetization with Aqua Voice × Gemini:
Combine voice input and AI to streamline article creation and monetization on note. Master the complete workflow from Aqua Voice to Gemini Advanced.
Your First AI Partner with Google Gemini: A Beginner's Guide
Learn how to create and interact with your first AI companion using Google's Gemini. No coding required—just explore the amazing world of AI partnerships.
Choosing a Gemini Model Without Second-Guessing — A Cost, Speed, and Quality Framework
How to pick between Gemini 2.5 Pro / Flash / Flash Lite / Gemini 3 Pro / Flash across cost, speed, and quality. Includes correct google-genai SDK code and the decision rules I use when running automation in production.
Gemini × LangChain Integration — Build RAG, Chains & Agents
Complete guide to using Gemini with LangChain. Covers ChatGoogleGenerativeAI setup, prompt chains, RAG pipelines (ChromaDB + Gemini embeddings), and ReAct agent construction.
Vertex AI Agent Builder Getting Started — Build Gemini Agents with No Code
Build Gemini-powered AI agents with Vertex AI Agent Builder. Covers datastore integration, tool definitions, testing, and Cloud Run deployment.
Gemini 2.5 Pro Production Agent Systems — Tool Calling, State Management & Orchestration
Build production-quality AI agent systems with Gemini 2.5 Pro. Covers parallel tool calling, agent state management, multi-step reasoning loops, error recovery, human-in-the-loop design, and real-world implementation patterns.
Gemini Advanced Document Processing — PDF Analysis, Table Extraction & Automated Review
Advanced document processing with Gemini's multimodal capabilities. Covers full PDF analysis, table and chart extraction, multi-document comparison, automated contract and invoice review. Includes File API integration and context caching patterns.
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.
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.
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.