How I Built a Contamination-Free API to Test AI Doc Formats
Testing how AI reads documentation requires controlling for training data. I built two custom APIs that have never existed on the public internet to isolate what actually matters.
Read MoreThe Problem Nobody's Measuring
Your company tracks API latency, uptime, and error rates. But nobody's tracking what it costs AI tools to read your API documentation.
Read MoreBuilding a WebMCP Kanban Board: Browser-Native AI Integration With Zero Backend
A complete implementation of a kanban board with 8 AI-callable tools, connected to Claude through Chrome DevTools MCP. No backend. No database. No API server.
Read MoreHow Much Do Your Docs Cost to Read?
Did you know audience has to pay to read your docs? They do if your audience is AI. I built a tool to estimate that cost.
Read MoreClaude Context Analysis: What 500 CLAUDE.md Files Reveal About How Developers Use Claude
I built a tool that scrapes CLAUDE.md files from GitHub and runs topic modeling to surface patterns in how developers configure Claude Code.
Read MoreOh My Clawd: Building a Comedy Series About AI Gone Wrong
What happens when you give an AI assistant a little too much autonomy? A comedy series exploring helpful chaos.
Read MoreMaking data conversational: Building MCP Servers as API bridges
How I built an MCP server as a thin bridge on top of our REST API to serve both developers and end users from a single backend.
Read MoreHelp panel component for AWS Amplify framework
Extending an open-source framework for user assistance.
Read MoreContent review for data as a service (DaaS) design
Improving content design, usability, and accessibility for data as a service (DaaS) UX.
Read MoreMy Pokémon Model Context Protocol Server
Creating an MCP server for the Pokémon trading card game.
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