📍 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.