📍 Austin, TX | 🤖 Building agent infrastructure | 🏁 Doctrine + Rally | 🚀 YC S13 founder @ Poker Skill + Cratejoy
I build the boring but necessary layer that makes agents usable in real work: typed instructions, visible state, recoverability, and operator control. The goal is simple: make agent workflows feel like software instead of prompt soup.
- 📜 Doctrine — typed DSL and compiler for reusable AI agent instructions and workflows that compile to
AGENTS.md - 🏁 Rally — filesystem-first harness for repo-local multi-agent coding workflows
- 🧪 codex-autoresearcher — worker/judge harness for optimizing anything you can measure
- 🧰 aimgr — operator tooling for AI accounts, browsers, and local agent rails
- 🌐 mcp-url-fetch — MCP server for fetching URLs from Claude, Cline, and other clients
- 🔔 codex-notifier — audible notifications for Codex CLI on macOS
- 🧠 langdspy — earlier public line of work on declarative prompting and optimization
- Doctrine is the authoring and compiler layer.
- Rally is the runtime and harness layer.
- Together they aim to make AI workflows typed, inspectable, and recoverable.
- Founder / CEO: Poker Skill, Cratejoy
- YC S13
- Previously: MarketZero (acquired by Zynga)
- Older ML / open-source lineage: pyvotune, Theano, DeepLearningTutorials
- If you want the authoring and compiler layer, start with Doctrine.
- If you want the runtime and harness layer, start with Rally.
- If you want the earlier public line into this work, start with langdspy.