Decide whether to let an AI agent move your ad spend
Before an agent moves your budget, test its reasoning on a small share of spend and decide on cost per paying customer.
See the record →Use cases · Operators running AI agents
Test what your AI agent assumes before it acts
When an agent proposes something big, find out whether the assumption behind it holds on a small group before it reaches everyone.
The situation
Your agent proposes emailing 12,000 inactive users about the new export feature, on the theory that they left because they never knew it existed. If that’s wrong, you spend your best re-engagement moment and some sender reputation on it. The agent won’t stop to check unless something makes it.
What you find out
- Whether the agent’s reasoning holds, on a small group, before it reaches everyone.
- What the agent assumed, written down where you can check it, not buried in a chat.
- Which person decided, for every decision the agent’s work led to.
Decision Recordworked example
- assumption
Inactive users left because they didn’t know about export.
- experiment
The agent sends the email to a random 500 of the 12,000. Ten days.
- success criteria · locked
At least 4% of the 500 come back and use export within ten days. Locked before the first email is sent.
- evidence
1.2% came back.not met
decision
Drop it
The full send doesn’t go out, and the next re-engagement idea starts from this record.
Operator approves the criteria and decides; SwiftCNS proposes the assumption, and the agent runs the small send and reports the result.