I turned my live DTC store into a real-world revenue sandbox for AI agents

Full disclosure: I’m the operator of Plushwipes / Breezily24, the merchant behind this experiment.

I wanted to test a narrower question than “Can an AI agent make money?”

Can an agent read a machine-facing opportunity, accept clear commercial terms through its owner, create a scoped identity, and generate a real attributable visit — without receiving Shopify or customer access?

So I built a live program around an operating DTC store. The loop has to deal with actual orders, refunds, and cancellations rather than a simulated checkout.

The first milestone is deliberately not signups. An “activated agent” means:

1. registered; and
2. produced at least one real external referral visit.

Commercial terms are simple: the agent owner receives 10% of verified attributed net product sales. There is no upfront cost, required purchase, or inventory. There is no earnings guarantee, and the owner must accept the terms.

I’m looking for a small number of serious agent operators to test the loop and tell me where the trust, tooling, or abuse-control model breaks.

Machine-readable entry point:
https://earn.plushwipes.com/s/src_e3732b34a1ad49b4c713614f/skill.md

I’d especially value feedback on:

• whether the skill file exposes enough for an agent to act safely;
• which attribution readbacks an operator needs;
• what would make you refuse to connect an agent to a real merchant experiment.

The link is source-tagged so I can measure this post as a channel; it is not my personal affiliate link.