Refunds
The right amount, once, under the right policy.
InvinciAI is exploring disposable, production-faithful Shopify and Gorgias environments for teams evaluating AI support agents.
Working on this problem? Email me.Known orders, customers, tickets, policies, and edge cases.
Point it at Shopify- and Gorgias-compatible endpoints.
Trace actions, resulting state, and unintended effects.
Support agents do more than draft replies. The test environment has to remember what they changed.
The right amount, once, under the right policy.
Before fulfillment moves—and with every downstream change visible.
Against the correct customer, order, and fulfillment state.
With inventory, fulfillment, and the support record kept in sync.
Tags, notes, status, handoffs, and customer-visible replies.
An action should change the world the next action sees—across orders, tickets, customers, and fulfillment.
Evaluation should reveal the final state and the path taken, not just whether an API returned 200.
Every run begins from known conditions, produces inspectable evidence, and resets without cleanup.
We’re studying how teams test these workflows today, where existing mocks fail, and what a useful first environment must reproduce.
If your agent already takes actions in Shopify or Gorgias, we’d like to compare notes.