A closed loop that designs the rules once, executes without waiting, watches its own results, and corrects itself — with a human at the edge, not in the middle.
We don't ask you to trust a machine's judgment. We ask you to design the rules once — grounded in real data, bounded by real limits — and let execution move at the speed the rule deserves.
The human doesn't disappear. The human moves to where judgment actually matters: setting the goal, drawing the line, and auditing whether the rules still hold.
Autonomy without an independent audit is just self-interest wearing a transparency costume. We say this because it is the strongest objection to our own model, and the one we intend to be held to — not a claim we are making today, but a commitment we are building toward, in the open, before we ever ask a small supplier or a customer to run through this system.
What this means in practice: a changelog of the platform's own decision logic — pricing, matching, and fulfillment rules — reviewable the way a codebase's commit history is reviewable, with an independent review cadence disclosed publicly rather than asserted privately.
In development — progress will be published here as it shipsCan grounded, autonomous systems finish what Adam Smith started 250 years ago? We argue the optimist case, then argue against it — and land on what technology can and cannot fix.
Read the essayRemoving a human's finger from the button doesn't remove self-interest from the system — it relocates it to whoever writes the rule. Here's how we intend to keep that visible.
Read the essay