How about it? I know, Scott, you said you're not going to have that same approach, and yet there's still AI in

there.

I look at our core system as the jungle gym that companies' AIs can play on in their supply chain.

And then we have some native deployments of ML algorithms in our – the way once you've got a knowledge graph of how your supply chain is configured behind a bomb, like the actual line items that get you – this thing, which is never a clean map to the bill of materials on a product.

Like that, the thing that goes out and tries to solve those dependencies for you when you cut an order or you have demand is not an LLM based system, but it is algorithmic.

We've got some ML workloads, especially in data onboarding and normalization because everybody's data is a different kind of mess and we can't have them going in there and like dragging around and coding in how all these columns match up.

We just try and figure that out for them.

You don't want to click anymore, right?