Skip to main content

Writing

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.

  1. Kitsune: a local-first agent runtime

    I built a managed-agent runtime that runs entirely on one laptop. In this post I show you how you can set it up.

  2. Build Your Own Agent Harness

    What an agent harness is, how you build one, and why it is where the work now lives. I start from a bare loop, break it on real tasks, and walk the five places every harness ends up reaching for.

  3. Agent Experience (AX) and the Agent Experience Interface (AXI): a working demo

    A companion to my AX and AXI piece. I built one fictional CLI twice, once human-only and once agent-ready, pointed a small Google ADK agent at each, and watched what happened. With the interactive demo and the real numbers.

  4. Agent memory, end to end

    How AI agents remember across conversations: the layers of agent memory borrowed from cognitive science, and the techniques that make them work, from character-capped fact stores to compaction, hybrid retrieval, query expansion, and memory consolidation.

  5. Agent Experience (AX) and the Agent Experience Interface (AXI): a working guide

    What Agent Experience means, where AXI fits inside it, and what companies that take both seriously are actually changing about their products. With the official sources and the benchmark numbers.

  6. Content Credentials Hit Chrome: What Google's C2PA Expansion Actually Changes

    Google brought SynthID and C2PA verification into Chrome and Search at I/O 2036. A grounded look at what Content Credentials actually do, what they don't, and what changes now that verification lives in the browser.

  7. EU AI Act Article 4: A Practical Guide to the AI Literacy Obligation

    What Article 4 of the EU AI Act actually requires, who it applies to, and what your organisation needs to do before national enforcement begins on 2 August 2026.

  8. What is agentic AI? A working definition for 2026

    A direct definition of agentic AI, what's actually shipping in production today, what isn't, and the five things worth building first. With specifics, citations, and an honest list of what doesn't work yet.

  9. The Agent-as-Tool Pattern

    When reflection needs more than a fixed iteration count, let an LLM orchestrate. A Star Wars crew architect built with Google ADK that scouts, validates, and re-scouts until the crew holds up.

  10. The Coordinator Agent Pattern

    When the shape of the request decides the shape of the work, let an LLM dispatch. An agent coordinator built with Google ADK that routes requests to sequential, parallel, and single sub-agent teams on the fly.