What does typed schema generation change about building for AI agents?

Most AI "memory" treats a remembered fact as a sentence to re-embed and hope to retrieve. We treat it as a typed, time-bounded node in the same knowledge graph the agent reasons over. So "keep ROAS above 3" isn't text the model re-reads, it's a fact the graph continuously joins against live numbers, pre-evaluated.

Our reasoning engine runs in memory, so it can't hold everything. Here's how we keep it continuously aware of terabytes of data — by pushing aggregation down to where the data lives, and letting the warehouse recompute exactly one connected account's slice at a time.