Yes

... and the, um, making sure obviously that that passes the sniff test is really important.

Now something that AI is super good at doing that we all know is doing scale, doing a bunch of things that, you know, like 10, 100X-ing our people, and doing things much larger and faster, um, than our teams could do.

Now the outputs, do they pass the sniff test? That's a good question.

So, um, one of our implementations is, um, working with a large retailer on, um, analyzing their customer journey.

Um, in the old school days, that would be like, you know, one person with a tiger team, maybe two or three people, pulling a bunch of data, a bunch of customer transcripts, um, running through those, um, sampling maybe a, you know, 1,000 out of, you know, 100,000 in a day, and, um, generating what they think is a hy- the answer to their hypothesis.

What's great now is that AI can go and grab all of those customer journeys when we set up these, um, implementations, and go grab all of those customer, customer journeys, ask qualitative questions of it.

Can you kick us off?