Jesse Zhang

I mean, you also have to be pragmatic on both sides, you know, start with a clear use case.

But I think that is where folks are building towards.

And so in the near term, I do think that's different teams, because the reality is that at these large companies, different teams have different budgets, and they make different decisions.

And so they might have different agents.

But long term, you either need to have a unified system that ties them together like a unified framework, or they could just be literally the same agent.

I think that's a good analogy.

It's like a front end.

It's like a UI.

But instead of visual UI, it's a conversational UI.

People already almost always already have brand guidelines because they need to show brand guidelines to their human agents to train them.

The nice part is that they already have all this training process for the humans, and you should ideally be able to apply it in the same way as the AI.

And so they'll have like, hey, you need to do this.

You need to always be confident.

Sometimes folks don't want the agent to apologize.

Sometimes people really want to be apologetic.

So people have different preferences and that needs to be taught to the AI in an efficient way.

That's also kind of a lower throughput way of communicating.

I mean, the other way that you can show the agent is just give a lot of examples.

So here's examples of what great look like from our top agents and just learn from that.

The reason why we're excited and we feel like the market is so massive is that, yeah, at the end of the day, what we are building towards is this concept of becomes like a new UI for the product.