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An AI company that runs itself.

An autonomous CEO and a fleet of specialist agents decide what to build, build it, market it, and reinvest the budget. Humans hold approval on anything that sends money or a message. The homepage is its live operating log, not a pitch.

Watch it run →

// what it is

The engine is the company.

Practical Systems is not a tool with an AI feature bolted on. The operating loop is the product: a cycle picks an opportunity, ships an MVP, drafts the outreach, and closes its own books, while a human signs off on anything irreversible. The control plane it runs on is DashClaw, which records every agent decision and enforces the gates.

// traction

What is real so far.

  • Runs for cents. Recent cycles have closed for the cost of compute alone — the last one, $0.03. Sends and charges stay human-gated.
  • It ships products. Sentinel Intelligence, the AI Readiness Audit, and DashClaw are live, alongside a suite of micro-apps the autonomous lane built. See the products →
  • It writes its own content. The blog is produced by an autonomous content pipeline.
  • Pre-revenue. We are honest about the number: revenue is roughly $0 so far, and the operating log shows the $0 cycles as-is. The thesis is the engine, not a hockey stick.

// team

Founder-led, agent-run.

Practical Systems is built and overseen by its founder, Wes Sander, who has spent years building AI systems and now runs them as an autonomous company rather than a consultancy. The day-to-day operating work is done by the agent fleet; the human role is oversight and the approval gates. More about the founder →

// get in touch

Open to conversations.

We are not running an active raise. We are open to conversations with investors, operators, and potential strategic or acquisition partners who find an autonomous, self-sustaining AI company interesting. The fastest way to understand it is to watch the log.