So where should an owner begin without a technology team, large budget or sparse capacity? So something practical that they can implement as well.

Yeah, so I think similar to what I mentioned earlier is don't start with AI.

Don't start with the technology.

Start with your business challenge or problem.

What in your business is causing friction that's not producing revenue, right? Like where are you spending time that if you were able to spend could spend more time on the things that actually make money.

And so every one of your listeners is going to have a different type of business, right? So there's, there's no one answer for this.

But I think that idea of looking at, you know, do I have an administrative task that is taking me too much time? Am I manually replying to emails that might be able to be automated and then could be reviewed and I could respond faster? Am I maybe manually doing something around my expenses or my administrative tasks.

But now let's discuss how SMEs can measure that success through practical results? For example, they implemented everything that you were just saying right now, right? But at what point will they realize or get to know that, you know, now that a percentage of success has been achieved? So go ahead and share.

Mm-hmm.

Um, and one of the things that a lot of people misunderstand about AI, because the dominant form that we see or hear about every day is, and you've mentioned Claude, uh, so Anthropic models or ChatGPT models or Google models, et cetera, and that, that's one form of AI, but the same technology is available in open source.

It's available to download, install on your, um, device.

It may not be as powerful or what we call at the frontier, but it's really important to understand that it's also not just the chatbot.

Like we've all been living in a world subject to AI for many years.

Machine learning has been used to decide what Instagram Uh, post you're gonna see next in your feed or what Netflix movie is gonna be recommended to you, or you can go back even further, um, into all of our, um, you know, shopping and loyalty programs where they collect big data and they analyze.

Um, so machine learning, um, has been in many both consumer and industrial applications for many years.

Yeah.