did you – like what got you – why did you decide to go cook? Like was it just because you found the ad?

No. Yeah.

Well, I always did and it was sort of one of those things where it was always a sideline for me.

So it was always sort of – I always cooked.

I mean my mom is a really good cook but – you know, had that sort of repertoire of six things.

And if I ever offered to be like, Hey, I'd love to cook.

She'd be like, yeah, yeah, go for it.

how they're treated and how

Steve Lewis told me that his research changed what he knew about his own background.

The family had always told me that he was French, born in France, and was a white person.

And that's what we all believed.

But I managed to find his will.

And in his will, it showed that he would spend his whole life in this small village in Grenada.

His will was interesting because he left his carpentry tools to his sons and left a lot of land to his sons as well.

And that was a bit of a strange combination.

That was compensation for the enslaved people, their property that they had to give up.

So, so technically, what does an organization need to do to prepare to be able to use all of that and put it into an agentic AI platform?

Yeah.

In the report that we've, we've written, we, we talk about two scenarios.

Not quite as explicitly as that, but there are two scenarios, right? There's, there's the, there's the ongoing.

There's the ongoing stuff, big projects that are in chain.

They're, they're already on in delivery.

And then there's the new projects that haven't started yet.

Can you talk a little bit about these four futures and what some of the best and worst cases might be?