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Notes on AI, agents, web technologies, and building with LLMs

Technical articles on AI integration, agents, agent harnesses, MCP, web technologies, and emerging tools. Working notes from a Google Developer Expert with 25+ years of building and teaching.

225 articles · Page 2 of 23

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  1. The Sequential Agent Pattern

    Chaining multiple specialised agents into a pipeline where each one builds on the last. Illustrated with a TypeScript CLI that fetches a quote, researches its author, and writes an inspiration card.

    AI Agentic AI Gemini ADK

  2. The Parallel Agent Pattern

    When agents do not depend on each other, run them at the same time. Illustrated with a TypeScript translation pipeline built with Google ADK that translates a phrase into three languages simultaneously, then aggregates the results with Gemini.

    AI Agentic AI Gemini ADK

  3. The Single Agent Pattern

    A look at the simplest agentic AI pattern: one model, one tool, zero orchestration. Illustrated with a tiny TypeScript agent built with the Google Agent Development Kit (ADK) that uses Gemini and Google Maps to review any place by name.

    AI Agentic AI Gemini ADK

  4. Watch the Past Move: Animating Historic Photos with Gemini and Veo

    What if you could take a dusty old black-and-white photograph and watch it come to life? In this post, I walk through a Node.js pipeline that colorises historic photos with Gemini and then animates them into video using Veo 3.1.

    AI Gemini Veo

  5. Building a Historical Time Machine with Gemini and Google Maps

    Have you ever wondered what your favourite landmark looked like a hundred years ago? In this post, I walk you through a Node.js application that generates historically accurate photographs of any real-world location at any point in time, and even checks its own work for anachronisms.

    AI Gemini

  6. Why How You Split Your Documents Matters More Than You Think

    Before you reach for a more powerful embedding model or a larger context window, look at what you're actually feeding into a RAG pipeline. Sometimes the highest-leverage improvement isn't a better model but rather it's a better split.

    AI RAG

  7. Filesystem as Context: Building an AI Detective with bash-tool

    Instead of stuffing documents into prompts, give your AI agent a filesystem and let it retrieve its own context. Here's how, using a murder mystery detective as the demo.

    AI Agents Vercel AI SDK

  8. Building AI Agents with Google ADK: A Practical Guide

    Learn how to build multi-agent systems with vector search, tool orchestration, and semantic understanding using Google's Agent Development Kit (JS/TS version).

    AI Google ADK Agents

  9. MCP Workshop Answers for DevFest Taipei 2025

    These are the answers to the questions asked via Slido during my workshop on MCP at DevFest Taipei 2025.

    MCP DevFest Taipei

  10. Detecting Hallucinations in Language Models with Natural Language Inference

    A practical look at why hallucinations occur in modern language models, why current evaluation methods make them persist, and how to detect them using Natural Language Inference in JavaScript.

    AI LLM NLP Transformers.js JavaScript