How does agentic play a role in this technology?

I don't think it's even the next big thing.

I think it's the whole thing.

I think it's like So think of this, this is my personal view.

LLMs are a foundational technology, right? So they're foundational in that you can build things on top of them, right? Agents are specific instances of LLMs tuned with context.

MCP servers are context-based API gateways.

Basically think of it that way.

And that is the ethical considerations that companies should pay attention to as you're you know, as you're the leader of a company, you've got to consider what ethical considerations and then what skills should people have? Should they be adding to their repertoire as we head into 2026 as it relates to AI?

And I wonder, what's your take on when is it smart to start thinking about investing in your revenue infrastructure?

Yeah, that's a really, really good question.

So first of all, there's two major paths that people will go down and the answer is different depending on which path you're on.

So if you were a PLG or bring your own software type modality, then effectively you have to invest in your revenue infrastructure right away, like instantaneously, because In fact, the PLG is revenue infrastructure.

And really the standard for doing that is Stripe.

You could use new to do it, but most people aren't on Salesforce.

They don't have the complex data models.

But yeah, when do you think is the right point and time in the life of your company to do that? And, you know, how to do it also without confusing the customers so you're not that scared?