Seamgate

Governing what retail catalogs tell AI shopping agents

AI agents are starting to read retail catalogs and make recommendations from them. What they find — or fail to find — is decided by product data most merchandising teams have never had a reason to scrutinise.

I work on the layer that sits before that: how a brand decides which products are ready to be exposed to an agent, who signs off on it, and what evidence exists afterwards.

That means building as well as writing. The tooling is a catalog readiness engine that scores product data deterministically, refuses to certify a source it cannot fully assess, and produces findings a merchandising team can act on rather than a score they have to trust.

This is Governed Intelligence Architecture — a framework, a course, and a working component.

Writing