Two models, one property
Models and agents are only as smart as the grounded truth they all read from.
Two AI Models. Same property. Confidently disagreeing about who owns it. Both have credible-sounding answers. Neither is technically wrong.
They just read different sources.
I was just reading a McKinsey article from April and their framing of the "Agentic Mesh" stuck with me:
"The agentic mesh prevents that fragmentation by acting as a coordination fabric, enforcing business rules and maintaining a shared source of truth... Without such a mesh, incremental modernization risks devolving into chaos."
Models and Agents need to be grounded in context. You have to start with the shared truth they'll all read from.
Resolve your entities (ours are properties and owners), what counts as the same property, owner, transaction, etc before you resolve your workflows, because an agent that doesn't know what's the same thing fails in ways evals won't catch.
And put real engineering into the unglamorous layer: canonical IDs, lineage, reconciliation. That's the layer that makes the impressive stuff actually work.
Models and the Agents that run on them are only as smart as the grounded truth beneath them.
First posted on LinkedIn.