Mm.

And the thing of that first pro-pro-promise, it wasn't just about the land of Israel.

That's the thing.

It wasn't, the main thing is not just about the Holy Land.

Though the Holy Land is important, it always was important about a people, and his own special people on the earth.

Now, mind you, that is not just, uh, exclusive to anyone.

I'm trying to say something.

Does it mean everything in Hadith?

Go ahead, Brandon.

Save me.

Save me.

All right, everything that I'm just saying, bro, this is just for edification of truth.

So what you're saying is a half-truth, because it's not a white man's book, and it's not only for Israel.

And even through the time, I want to start off right in the verse.

Let's get to Christ, because we don't got too much time to play.

And Brandon, I'd like you, if you have any response built in, I'd like you to add that into your closing

The whole concept around, hey, is AI going to replace salespeople? I don't believe that.

I believe it's replacing some roles, but I do believe that sales leaders and salespeople with AI will replace those without.

So the time to adopt is now.

The time to experiment is now.

The time to jump in and collaborate with people inside of your go-to-market motion with sales, marketing, rev ops, client success, and partnerships, the time is now.

We assess.

And for the audience, if we had to do RevOps for dummies, what is RevOps all about?

Well, what's interesting is like as a CRO, as a former CRO and having been in a fractional 23 times and then, you know, if you think about like RevOps, I, as a leader, as a growth leader, I see them as my number two, like hands down.

You know, you've got a big team, you've got a lot of people, but this one role, depending on the size of the company, is the role that should give you strategic direction based on the data.

You know, the data that you have, whether it's in Salesforce or you have it in BI, you have it in other sources.

Because if you think about all the AI that we're working on with today, all the AI, it starts with structural data.

If it has bad data, you're going to get bad outputs.

But if you get the right data in the right format and the right structure, and then you can do analytics on it, your rev ops person should be able to look at that data and say you know here's what i'm seeing and this is what i'm seeing projected out in three months if we don't make these three changes let's talk about it growth leader it looks like close rate is low it looks like conversions from the top of the funnel they've been trending down over the last three months if this trend happens over the next three months we're not going to hit our target it's getting real insights from the data you have using this RevOps person.

And then from there we could look at who's, who's gonna, you know, who you're going to hire first.

This is the mouse.

All right.

This is the reason I'm explaining why it's false.

And this is coming from a black person.

We have similar understandings.

Let's break down the understanding, right? I want to take it all the way back after Christ resurrected.

When Christ rose again, you got to understand that the gospel was spread all through Africa, all through certain places before.

The white man gave you Jesus to keep you oppressed.

But, but what's the difference there between maybe Black figures and Black people?

Yeah.

Yeah.

That's, like, one of the things that the book is constantly turning over, right? And, and, and I think it has a lot to do with, like, when Black life has become so abstracted and has been so detangled from any kind of social reality or any kind of, like, personal lived human experience, and it instead becomes this set of social extrapolations, where you're talking about Black people as though they were objects.

That engenders, like, a kind of, like, like, a Black figure, not, like, a Black person.

And to me, it has to do with the social reality and the interpersonal reality there.

I was trying to think through, like, like, my own feelings about race grifting, because there-

[laughs]