Selected work.

Products I built at the intersection of quality engineering and applied AI.

atlassian-cli
Jira & Confluence, agent-friendly.

atlassian-cli

A deterministic command-line interface for Jira and Confluence, designed for AI agents first, humans second. The 'CLI > MCP' philosophy from Episode 04 in shipped form: faster, cheaper, and more debuggable than wrapping every endpoint in an MCP server.

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figma-cli
Figma, designed for agents.

figma-cli

A command-line interface for Figma files, components, and design tokens, built on the same agent-first philosophy as atlassian-cli. Read frames, export images, list components, extract tokens, all from JSON-shaped commands an agent can chain.

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Web MCP
Every web page is becoming a function call.

Web MCP

Web MCP is the protocol layer that turns any web page into something an agent can call as cleanly as a local function. Featured in Episode 03 of The Agentic Engineer, including the QA-flavoured deep-dive on A2A, UCP, and what it means when the open web becomes agent-readable by default.

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OpenClaw
Give your agent hands.

OpenClaw

An open-source framework for giving AI agents the ability to act, not just talk. The runtime featured in Episode 02 of The Agentic Engineer. Built around a brain–hands–loop architecture you can extend to any tool.

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Sathi
My personal AI agent.

Sathi

Sathi is the agent I built for myself. It triages my email, books my visas, drafts my replies, manages my calendar, runs my house. The most honest test of agentic engineering: would you trust it with your own life?

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VidSnatch
An agent for YouTube.

VidSnatch

Give your AI assistant hands on YouTube. Download 4K, extract audio, grab timestamped transcripts, trim segments, all through a CLI built for agents and an MCP server that plugs into Claude Code, Cursor, and Copilot. Powers my own video research pipeline.

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