Goals counted from the source
Set “20 paying customers by March.” Exoloop counts it from your payment system, not a spreadsheet someone updates. Click any number to see the exact records behind it.
Early access · not live for customers yet
Your AI agents do real work. Exoloop counts your goals straight from your own tools, like your payment system, and lets each kind of work earn more freedom as its record proves out, within limits you set.
Outcomes, counted. Decisions, signed. Trust, earned.
What it does
Set “20 paying customers by March.” Exoloop counts it from your payment system, not a spreadsheet someone updates. Click any number to see the exact records behind it.
Every kind of agent work starts with a person checking it. When its record clears a cautious bar and you sign, it moves up a level. One serious mistake moves it back a step, automatically.
Anything important waits for a short question: what changes, what stays the same, and what happens if you don’t answer. Nothing. A yes you give often can become a standing approval, with limits.
The trust ladder
Each kind of work has its own level, and its own record. The more cleanly it runs, the less it needs you.
Moving up needs a track record that clears a cautious bar, and a person’s signature.
One serious problem moves the work back a level, automatically.
No one approves their own work, person or AI.
These never reach “On its own”. They run without asking only within a standing approval you sign: a cap per item and per day, an expiry you choose, and cancelled by the first serious problem.
The safety catch
When something matters, one short question reaches you in Slack. The proof it asks for grows with the risk, so a quick tap never becomes a reflex for the things that count.
How it works
What you want, counted from real data.
The customer problem behind it.
What you’ll try, and by when.
Exoloop asks on the bet’s date.
Every decision, approval and change is sealed to the one before it. From that one record you get what’s true now, how you got here, a “start here” brief for anyone joining, and decisions written into your own repository where your team and your agents can read them.
Built today, coming next
Tested end to end against stand-ins for outside tools. Not yet connected to live ones.
We’re running our own companies on it first, before we ask you to trust it.
Early access
Early access is opening to a small group of founders and teams of one to five who already run AI agents on real work. Tell us what you’re building.
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