AI operations agents for a Shopify brand
Hardening five AI agents that run day-to-day e-commerce operations
Shopify / TypeScript
The brief
The problem
The brand already had AI agents doing real operational work across its store. They worked often enough to be useful, which is also what made them risky. An agent that is right most of the time still needs a clear boundary, a way to notice when it is wrong, and a person who can see what it did.
Our approach
We are hardening the agents the way we harden our own. Each agent's job and limits are made explicit. Actions that matter go through checks before they reach the store. Failures surface instead of passing silently, and every run leaves a record the team can review. The work is scoped agent by agent, so the store keeps operating throughout.
Features
What it does
- 01
Per-agent scope and limits
- 02
Pre-action checks
- 03
Visible failures
- 04
Reviewable run history
Results
What happened
Five operations agents in scope, hardened one at a time while the store keeps running
Explicit boundaries for what each agent may do
Checks in front of consequential store actions
Every run reviewable by the brand's team
Engagement in progress; the client and outcomes stay confidential
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