Ryan Hanley

two years, two and a half years ish.

And it's gone so far from what, you know, GP two or GP three was to, you know, 5.4.

And then, you know, obviously there's a ton of other models, but just thinking about open AI's progress, you know, what you could ask and expect to get back from those early models.

I mean, that's remedial stuff that you wouldn't even think about today.

And it's all, it's this tiny little 24 month window that we've been working in.

Um,

If you're a lot of leaders, a lot of, we'll call them regional and main street businesses listen to our show, ton of leaders, ton of entrepreneurs, but it tends to be outside, say, the Fortune 500, Fortune 1000 group that kind of come to this show.

And I know the question that they're asking themselves right now is, Nicholas, what's

What should it be working on and what shouldn't it be working on?

Because I'm positive what you just said scared the crap out of them because efficiency and the productivity of each task is so incredibly important to smaller organizations.

Not that it's not to large organizations as well, but you can really feel that pain if you have even one employee working on tasks that aren't moving the needle.

In working with AI as much as I have and thinking about my own clients that I work with and having similar conversations,

one of the things that's kind of hit me in the face is how, how many of our KPIs, how many of our workflows have been determined based on the restrictions of the system we use, not based on them actually being what's best for our business.

It's like, well, we can only track time to hire Nicholas.

I have no ability to understand the longterm, you know, return on, you know, this, you know, spending an extra four months bringing in an employee and adding these extra layers.

And so they,

because they didn't have the ability to either handle the amount of data or the systems couldn't do that, et cetera, you get these best practices and these KPIs that aren't necessarily, as you said, best for the business, but it's what they can do.

And to me, it feels like with AI and the ability to build these agents, build your own LLMs, to mine data out of databases or multiple databases and pull them together, we can start to actually think through

How would you grow the business in a perfect world with no restrictions and actually have that be a reality?

And those are really different conversations in some cases.