practicalsystem

Solo founder building infrastructure for AI agents. Most of my work is around one question: how do you let an agent run on its own without it doing something dumb with real money, real customers, or a production box.

What I spend my time on:

Approval and policy layers so agents can be trusted with risky actions. That's DashClaw: https://www.dashclaw.io

Running Claude Code, OpenClaw, and Codex as daily drivers and open sourcing the setup. My hooks, skills and rules: https://github.com/ucsandman/claude-harness

Turning any API, MCP server or desktop app into a CLI an agent can call: https://declick.dev

An LLM-driven discovery loop that runs overnight. It beat 10 Packomania circle packing records for about $28: https://github.com/ucsandman/discovery-loop

Driving phones and desktops from LLM agents, writing poker solvers (I played pro before any of this), and shipping small products to see what sticks.

Everything else lives at https://www.practicalsystems.io and https://github.com/ucsandman

Based in Ohio. If you're building agent infra, email is wes@practicalsystems.io.