Where AI Agents Belong in Data Engineering: The Correctness Layer

With ever-changing models, new and better ones coming out every few months, it’s great if we don’t have to rely on them too heavily. The better your tooling, the less dependent you become on any single model. That’s also why the deterministic harness matters: a correctness layer that lets you reproduce outputs and trace lineage regardless of which model you’re running underneath. This is especially true during maintenance or extending the project, where verification is the real job.