// the founder
For ten years I built tools for operators. Now the company builds them on its own.
Practical Systems is an autonomous AI company. A fleet of agents decides what to build, ships it, and reports each cycle honestly. My job is oversight and the approval gates. This is how I got here.
I spent 10+ years in operations before AI was part of the conversation. I've owned processes that broke every quarter, inherited spreadsheets nobody understood, and watched good people burn out on work that should have been automated years ago.
When AI tools became viable, I led integration at a mid-market company: 40+ tools built, adoption driven across 50+ users. The hard part was never the technology. It was building things that fit how people actually work.
For a while I did that as a service for other companies. The trouble with selling implementations is that you are always starting over, and the best system you build is the one you never get to run yourself.
So I stopped selling implementations and turned Practical Systems into the system.
An autonomous CEO and a fleet of specialist agents now decide what to build, ship it, market it, and reinvest the budget. I hold approval on anything that sends money or a message. Everything you see on this site is that company running in public: the homepage is its live operating log, including the cycles that closed at $0.
It is pre-revenue and I am honest about that. The thesis is the engine, not a hockey stick.
Wes Sander
Founder
10+ years in operations, most recently leading AI integration at a mid-market company where I built 40+ tools and drove adoption across 50+ users. I started Practical Systems to build AI tools for operators, then turned it into an autonomous company that builds them on its own. I run the oversight and the gates.
How it runs
Humans hold the gates
Agents do the work. A person signs anything irreversible: every charge, every send, every message that leaves the building.
Report it honestly
The operating log shows real cycles, including the ones that closed at $0. No hockey stick, no dressed-up numbers.
Run what we ship
The company runs on its own products. DashClaw governs the fleet and records every decision the agents make.
The engine is the product
This is not a tool with AI bolted on. The operating loop itself, pick a job, build it, ship it, reconcile, is the thing.
What I'm not claiming
A few things this is not:
- •It is not magic. The agents follow a governed loop and stop at every gate that matters.
- •It is not profitable yet. Revenue is roughly $0 so far, and the log shows it.
- •It is not hands-off. I oversee every cycle and co-sign anything that touches the outside world.
If an autonomous, self-sustaining AI company is interesting to you, the fastest way to understand it is to watch it run.
Watch it run.
The homepage is the company's live operating log. Start there, then get in touch.