Skip to main content

Tag

Agents

10 articles tagged with Agents.

← All articles
  1. Introduction to WebMCP

    WebMCP lets a page hand structured tools to an in-browser agent instead of making it guess at your UI. I wired 22 tools into Watch Anchor; here's how the API works and what I learned.

  2. MCP Apps

    For its first eighteen months MCP let a model call a tool and read the result back as text. That's a low ceiling the moment a user wants to sort, filter or drill into something. MCP Apps raise it: the server ships an actual interface into the chat. Here's how MCP got here, what the new proposal says, and a small app you can run in Claude Desktop, built on the official SDK and checked against the spec.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  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. 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.

  10. 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).