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practicalsystem

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Created
2 months ago

About

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.

Recent Submissions

  1. 1. ▲ Show HN: SideTap – an LLM drives a real iPhone from Windows, no Mac or jailbreak (github.com)
  2. 2. ▲ Fable Decides, Opus and Sonnet Do the Work: How I Route Claude Code Subagents (practicalsystems.io)
  3. 3. ▲ Show HN: Claude Code hits its 5-hour limit, Codex picks up in the same terminal (github.com)
  4. 4. ▲ The Guard I Installed Was Enabled, Running, and Doing Nothing (practicalsystems.io)
  5. 5. ▲ Published Subagent Costs Range from 15,000 to 436,000 Tokens. Measure Your Own (practicalsystems.io)
  6. 6. ▲ Show HN: CostClaw, a local audit of your Claude Code logs (costclaw.io)
  7. 7. ▲ Markdown Is All You Need (practicalsystems.io)
  8. 8. ▲ I Hardened a Personal AI Agent That Reads My Email, Files, and Desktop (practicalsystems.io)
  9. 9. ▲ LLM Guided Evolution for Circle Packing: Breaking 10 Packomania Records for $28 (arxiv.org)
  10. 10. ▲ Show HN: DashClaw – policy and approval layer for unattended coding agents (github.com)

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