Jesse Zhang

It can fully replace.

And I think that goes into the conversation of

I think it's a little bit overblown of like, oh, AI is replacing jobs and so on.

Even the BPOs we talked to, they're not really that concerned because what typically happens anyways is that there's already very high turnover in these BPOs.

People are just hopping around and doing all sorts of different things, kind of just naturally let it decrease.

And then they just go on to do sort of the next level of tasks that they can't do yet, right?

And so maybe that's like data labeling or something.

That's generally what we're seeing from the BPOs.

But yeah, anyways, I think the spectrum is pretty real.

And so then the question is, like, what is the next thing that happens?

Yeah, I would say the biggest learning we had is that oftentimes a long pole in the tent.

And again, if you can solve this well, it just makes things go a lot easier, is aligning on what does good look like.

And you would think that in our space, it's pretty easy because it's like, OK, maybe you have a bunch of questions and answers and that's what good looks like.

But unfortunately, it's a lot more nuanced than that.

What good looks like could be in the sense of like tone and brand guidelines or how conversational you are.

And even for the actual answers, like we work with a lot of enterprises where obviously their scope is broad.

And so one of the things you need to set up beforehand is what's good look like.

So we have in our product essentially like a testing or simulation suite of like, hey, we're going to build out 10,000 tests.

And each one is going to be constantly running like five times.

And then you can get a sense of how well things are performing.