MartinLoop is the control plane for autonomous AI coding agents.
Today, it wraps Claude, Codex, OpenCode, and other agents with spend limits, proof checks, safety rules, rollback, and run receipts.
The bigger build turns that into a full agent control plane: dashboards, HeadlessOS-style execution, team oversight, cost visibility, and a trusted record of what every agent did, why it kept going, and why it stopped.
Unbounded AI agents are expensive. Fix that. Run it. Prove it. Stop it
One pattern we keep seeing: teams set a max budget or max iterations, but the expensive part usually starts earlier, when the agent keeps retrying without new evidence.
A better stop rule seems to be: before another retry, the agent should show what changed, what verifier passed, and what would make the next attempt stop.
