Control AI agents before they touch production.
Approval gates, activity logs, and human checkpoints for builders experimenting with AI coding agents and autonomous workflows.
The problem
AI agents can move fast, but unsupervised execution is risky. One wrong action in the wrong context can be hard to undo.
Builders need checkpoints, logs, and clear oversight before agents make meaningful changes to code, configs, or data.
The goal is not to slow agents down. It is to make them safe enough to actually trust.
How it works
Define what needs human approval
Set the conditions that require a human sign-off before the agent proceeds.
Review meaningful agent actions
See exactly what the agent wants to do before it happens, not after.
Keep a record of what changed and why
Maintain a clean log of agent activity for audit and debugging.
Request private alpha access
Tell us about your current setup. We review each request and follow up directly.
Questions
A Chain Bridge Labs experiment.