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.

231 articles · Page 1 of 24

Filter by tag ▾

  1. Joining the Agentic AI Foundation as an ambassador

    I've been accepted into the Agentic AI Foundation's ambassador programme. Here's what the foundation is, why it matters that this work is happening in the open, and what I've actually signed up to do.

    AI Agentic AI MCP Open Source Community

  2. Sparse vs Dense Retrieval: Why Your Search Doesn't Understand Synonyms

    If your retriever misses a relevant document because the user phrased their question differently than the document's author wrote the content, the LLM generates an answer with incomplete context. It doesn't hallucinate because it's confused, it hallucinates because it never saw the right information.

    AI RAG

  3. AgentTool vs sub-agent delegation

    Two ways to give an agent help: a tool it calls and gets an answer back from, or a sub-agent it hands the whole turn to. Same data-agent, opposite control flow. When to reach for each, shown with a real NL2SQL-to-chart pipeline in Google ADK.

    AI Agentic AI Gemini ADK

  4. What is Loop Engineering

    Everyone is quoting "design loops that prompt your agents" and few can say what a loop actually is. Here's the plain version, plus the part the hype skips: the loop is the easy bit. What's hard is that it makes your understanding optional, and nothing in it tells you when you've stopped understanding what ships.

    AI Agentic AI Agents Loop Engineering Automation

  5. 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.

    AI Agents Gemini TypeScript Docker

  6. 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.

    AI Agentic AI Agents Harness Engineering

  7. 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.

    AI Agent Experience AX AXI Agents CLI

  8. 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.

    AI Agents Memory Architecture

  9. 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.

    AI Agent Experience AX AXI Agents Product Strategy

  10. 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.

    C2PA Content Credentials SynthID Provenance AI