Early access · not live for customers yet

See which AI work makes you money.

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.

Illustration How a goal and an agent's level could look. Not a live product screenshot.

What it does

Let your agents run. Keep score. Earn the freedom.

01 · Counted

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.

02 · Earned

Freedom your agents earn

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.

03 · Safe

Your yes, within limits you set

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

Freedom, earned one step at a time.

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.

  1. 1
    You and a second checkWhere money, legal, public statements and anything sent to customers start.
  2. 2
    You checkWhere every other kind of work starts.
  3. 3
    AI checksAn AI reviewer checks each one, and you see a sample.
  4. 4
    On its ownIt runs without asking, and every run stays on the record.
Money, legal and anything your customers see

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

A yes where you already are.

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.

  • A tapfor everyday work. Slack already says who tapped.
  • Initials and a reasonfor customer messages and public statements.
  • Face ID as wellfor money and legal, and only there.
IllustrationSlack approvals are being built now; this is how one could look.

How it works

A way of deciding, built in.

Goal

What you want, counted from real data.

Problem

The customer problem behind it.

Bet

What you’ll try, and by when.

Did it move?

Exoloop asks on the bet’s date.

A record that can’t be quietly rewritten

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.

What Exoloop won’t do

  • Hold your content. Your data stays in your tools; Exoloop keeps facts, links and signatures.
  • Act where only you should: creating accounts, paying, proving who you are, accepting terms.
  • Let money, legal or anything your customers see go past the limits you set.

Built today, coming next

We’d rather show you the line than blur it.

Built and tested

  • Goals counted from a company’s own data, with every number able to explain itself
  • The trust ladder: levels earned from the record, back a step after a serious problem
  • Approval rules: proof by risk, no one signs their own work, unanswered questions wait
  • A history that can’t be quietly rewritten, kept in order on Postgres
  • Goal, problem and bet, with “did it move?” asked on each bet’s date

Tested end to end against stand-ins for outside tools. Not yet connected to live ones.

Early access

Get to revenue, with proof.

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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