I build the layer between AI capability and production reality.
I work where most projects fail: turning promising AI demos into reliable, auditable systems people can trust.
- Agent architecture and orchestration (OpenClaw, Codex-first workflows)
- Automation reliability (observability, rollback discipline, failure recovery)
- AI-ready delivery assets (machine-readable profiles, MCP endpoints, structured evidence)
- Product + operations alignment for real-world deployment
- Shipping practical AgentSkills on ClawHub
- Hardening evaluation and change-safety workflows
- Designing systems that optimize for signal over hype
If you're building serious agentic products, I’m open to conversations about shipping quality, not just prototypes.
