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How Cameron Cox is Redefining Golf Operations with AI at Glen Abbey

In a recent episode of The AceCall.ai Podcast, we had the pleasure of sitting down with Cameron Cox, Head Golf Professional at the iconic Glen Abbey Golf Club, to explore how AI is no longer just a buzzword—but a practical tool transforming day-to-day golf operations.

Cameron isn’t your typical tech innovator. He’s a PGA of Canada Class ‘A’ Professional with a deep passion for leadership, service excellence, and elevating member experiences.

But what sets him apart is how he’s embraced AI—not as a future concept, but as a present-day game changer for his club, his team, and his members.

During the interview, Cameron shared how his curiosity led him to start experimenting with ChatGPT before most golf professionals even knew what it was.

What began as simple tasks like drafting emails has evolved into custom-built AI-driven systems that are saving hours of manual work, reducing human error, and enhancing member satisfaction.

Among his impressive innovations:

• A Pace-of-Play Tracker that uses AI and Google Apps Script to monitor real-time course flow, predict bottlenecks, and empower marshals with data-driven insights.

• A Live Pari-Mutuel Competition and Leaderboard App for member-guest events, eliminating tedious manual tracking and bringing a modern, interactive experience to tournaments.

• AI-Generated Event Branding—turning standard tournament materials into professional, customized visuals in minutes.

• Voice-to-Text Lesson Summaries, allowing Cameron to instantly send personalized follow-ups to students after every session.

What’s truly inspiring is that Cameron built all this without a background in coding or design. His secret? A commitment to curiosity, a willingness to fail forward, and a mindset focused on continuous learning.

But Cameron’s impact doesn’t stop at Glen Abbey. As a Board Member of the PGA of Ontario, he’s actively advocating for more golf professionals to adopt AI, share best practices, and future-proof their careers. He emphasizes that AI isn’t about replacing people—it’s about enhancing performance, freeing up time, and delivering better experiences for members and staff alike.

For golf pros and club managers wondering where to start, Cameron’s advice is simple: “Ask more questions. Feed AI more information than you think it needs. Be curious—and don’t quit when it gets hard.”

This conversation is a must-listen for anyone in the golf industry who’s serious about innovation but doesn’t know how to take the first step.

👉 Listen to the full episode to hear how Cameron is leading by example and proving that AI is accessible to anyone willing to engage with it.

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And if you're ready to start your AI journey, claim your FREE Golf Club AI Amplifier™ guide by calling +1 (866) 838-8581.

Join the conversation. Innovate your club. Win with AI.

PODCAST EPISODE TRANSCRIPT

Clay (00:03)

Welcome to The AceCall.ai Podcast where we help golf club managers win with AI. Managing a golf club today is harder than ever. So we created simple AI solutions and a podcast to make it easier for you. I'm Clayton Elliott.

Brad (00:19)

and I'm Brad Milligan. Together we bring a mix of entrepreneurial innovation and decades of golf club management experience to help you optimize your club, increase profitability and elevate the golfer experience. So let's dive in.

Clay (00:32)

Okay, cool. All right, Brad. I'm, I have to say, I'm very pumped about today's guest because you we've been talking, you and I, Brad, have been talking for a while about, you know, doing more episodes specifically.

tailored to AI for golf pros and the pro shops and all the operations going on there. And last week, you know, this guy sitting right here with us, he literally came into our awareness as we had this episode already titled up and scheduled to record like this week, this, you and I were going to do this, just the two of us. And we were going to call it the benefits of becoming the AI savvy golf pro and trainer. was, it was literally literally already queued up in our episode and

You know, it was just going to be you and me exploring what could be done with AI for golf pros and trainers, but without any real world success stories of specifically what is being done by actual head pros and golf pros and trainers in, you know, existing.

active pro shops and clubs. And then we met Cameron Cox, who is literally the real deal here. So, you know, not just because, know, the club you represent or because of your impressive career history so far, but because of how he's actually using AI, not in theory and not just in like experimenting, but in like live,

He's walking the talk and so he's transforming right now how his club's golf operations run and it's very, very cool and very impressive, very exciting.

Brad (02:01)

Yeah, 100 % Clay. The timing was perfect. So let's introduce our guests and get into the conversation. Today we're joined by Cameron Cox, the head professional at the iconic Glen Abbey Golf Club, a name that really needs no introduction in Canadian golf. Cameron is a PGA of Canada Class A professional and he's a standout leader, known not just for his pedigree, clubs like Hamilton, Ovenbird, Whistle Bear, and of course, Glen Abbey.

but for how he's approaching innovation with a mindset that's rare in the industry. Well, a of pros are still thinking about using AI, Cam is already building with it. We're talking custom coded pace of play trackers, live betting and leaderboard apps for member guest events, voice to text tools to send post lesson emails instantly, AI generated event branding and logos.

rental club inventory systems, the list goes on and on. And the craziest part, he built all this himself using tools like ChatGPT, GROK, and Google Apps Script. Nothing that any other Golf Pro couldn't start using tomorrow. And that's what's so inspiring about him. Cameron isn't an app developer by trade, he's just a Golf Pro who had the foresight to track the trend and saw what was possible with this tech and decided to figure it out.

His wins are proof that you don't need to be a coder to start building better systems at your club. You just need curiosity, a little courage, and a bias for action. He's also an advocate. He's not just building these tools and hoarding them for himself and his club. He's actively trying to raise the bar for all Ontario golf pros, pushing his peers to get on board and start experimenting with AI for the good of their teams, their members, and the game itself. Cameron also serves on the board of directors for the PGA of Ontario.

and he's consistently ranked in the top 25 of the professional recognition program. We've been looking forward to this one. So without further ado, Cam, welcome to the show, man.

Cam (03:53)

Awesome. Well, thank you for that great introduction, Brad and Clay. Thank you as well. Looking forward to this. This is going to be fantastic. It was great to talk to you both last week and super excited to continue the conversation.

Clay (04:05)

Yeah, right on man. And like I said, we're just going to ask a few questions and just let you rip man, because I know in our conversation, I had to record it because I was like, I can't even keep right notes keeping up.

with what you got going on. but you know, before we dig into the details here of what you built and how you did it and why you did it and all that stuff, I'd love to rewind a little bit. And you've said before that your interest in AI, started before it was, you know, quote unquote, cool. Before a chat GPT was even a household name. What sparked your curiosity way back then? What was like the aha moment where you realized like this wasn't just a gimmick. wasn't just a tech fad. It was something that you could use

now and get your own hands that could really help you with your job and now and in the future.

Cam (04:51)

Yeah, I think that I think I probably started using Chachi BT about two years ago and back then there was a lot of negative connotations or lot of uncertainties that were coming about the software itself and

I a lot of people talking about it in very positive ways and then other people that were still had a lot of concern. I addressed in a way that I was a little bit weary of what was going on, but I knew there would be massive potential down the road for something like this. I'm always looking to see what is new in the industry, what trends to keep up with. And I really saw a big potential. When I started using called Chachi Petit,

all we were really using it for was the normal creating emails and anything else that might be going through that. as we'll talk through a little bit later here, it's really opened up a lot more to that. And throughout trial and error throughout the whole time, I've really learned the different ways to use it. And I'm still learning every day on how to get better at it. something that when it came out or when it came to mainstream,

A lot of people were uncertain about it, a lot of people didn't know about it, but I wanted to kind of cautiously move through it and start to learn it because I knew that eventually down the road it would be very important and it was only matter of time.

Clay (06:20)

Yeah, me too. I had just started tinkering with about two years ago. was back in 2023 when I was first using it. And for what I was using it for at the time, you know, it can do whatever you want it to do, really, whatever you're using it for. And you start tinkering and figuring it out. But I approached it pretty apprehensively as well. I was like, I don't know. Like I knew it would go somewhere. I knew right away.

When I saw what it did, I was like, this is going to change, change the world. Like it's not going to, it's, it's, it's not going anywhere. This, what it's already doing right now. And so I started using it back then and still I'm unlocking new ways every day to use it. So it's really cool.

Cam (07:01)

Yeah, exactly. mean, that's to me, even just looking at six month increments to see the differences is incredible. And it's moving a lot faster than I expected it to in how much more it can offer. But yeah, it's incredible to see where it was and to

It was really important to me to see that there's big opportunity here. And instead of looking at it something that's creating it lazy for a golf pro or something that is considered cheating or something, my big thing is making sure that I've got a commitment to my membership, to my staff, to myself, to make sure that I can put out the best product possible. And using tools like this and learning how to use them properly has made it so much more efficient to our team.

Clay (07:54)

Cool. Well, you mentioned, so Evolve, you just started with experimenting with email responses and that led into building the whole internal systems. Let's talk some of the tools. Let's talk about, this is where it really gets exciting. Let's start with your pace of play tracker. us through how it works, how you built it, how it's being used day to day now.

Brad (07:55)

Awesome.

Cam (08:12)

Yeah, absolutely.

Absolutely, so I think to go from where we started to where it goes, it's important to kind go over how that happened. so I really got a credit that Doug Foley, who's been a speaker with us with the PGA of Ontario multiple times. And that was kind of an aha moment for me was, okay, we've got this large language system that I can put stuff in and it'll get back to me.

I can copy an email and paste it in and it says something. But when I started meeting with Doug and starting to see the things that he was capable of doing, I saw these programs, whether it was ChatGPT or GROK, as vessels to give it information and data, to collect it and to actually produce whether it's a solution or new ideas or whatever it might be.

So I think that that's where it starts is, for instance, this pace of play tracker, I started going through with with chat GBT and kind of going through some of the issues that I have at work and some of the things that we might not have systems for are still on pen and paper. And and through that, I was able to come up with a couple of ideas that really kind of helped us get to where we are now with with actually implementing.

different apps or something like that. So when it comes to that we've got this pace of play tracker and

Couple things that we wanted to really highlight within it was making sure that we understood what pace of play was. At the forefront of everything, it's super important that we know on a day-to-day basis what pace is. know, people can come here and say that pace is slow, pace is fast, or it might not be. But we really needed the data to do that. So this started as just a simple exercise to make sure that we understood what was going on at the golf course and that we could track it on a day-to-day basis.

an opportunity to communicate with this program to see what else we could bring to that. you know, we've looked at adding a rental set tracker on it. We've looked at projecting where carts should be at a certain moment. We have completely kind of evolved it all based off of communication that we've dealt with in creating it.

Brad (10:51)

It's awesome. Yeah, I'd like to keep touching on that there. I'd like to know what kind of feedback are you getting from your marshals and your starters and your staff overall, you know, with that pace of play tracker and have they embraced it? And then what's the operational impact been?

Cam (11:02)

Yeah.

Yeah, so this summer we're rolling out this season, so we're just about to open the season, but over the winter this was a big project that we were working on and they played a big part in that as well. So I've made sure that with any iterations that we've been going through that we involve key personnel in our team, including our starters and marshals to make sure that we understand the process. And every time I meet with them, I get feedback that I wasn't thinking of and

Brad (11:13)

Gotcha.

Cam (11:35)

just making the programs that much better. So they've been very on board with understanding the goal and what we're trying to accomplish with it and playing a role in actually developing what the solutions look like, the formulas and everything else that goes within that. So I would say that everyone's excited about it. We're still working out the kinks on execution, but definitely not much apprehension.

apprehension there.

Brad (12:06)

That's awesome.

Yeah, it's super key to get your staff buy in with any type of tech I find. When you're introducing anything, I know, again, I mentioned Golf Genius a lot on here. We need to kind of partner with them or something. But when Golf Genius first came out, it's such an overwhelming beast when you sit down and the amount of modules I had to watch and pay attention to. And once you start getting your feet wet with it.

And a lot of staff were apprehensive about it. They're like, we've already used, we used to use an old tournament, you know, whatever tournament software, tournament expert, whatever you're using before. But then, you know, once you get into it and you start realizing how fantastic it is and all of the benefits that are in there, you know, you have to just get over that hump with your staff. So that's amazing that they're buying into these things that you're doing. And that says a lot about your leadership.

Clay (12:59)

Yeah. And so yeah, let's keep rolling. We have a lot of questions I want to get through here and I want to honor your time this morning. For those listening, we're recording this at 8 a.m. Eastern Standard Time. So chems a good sport. He's getting this done before before his team comes in. It's quite awesome. And I want to hear a little more about, know, there's your your member betting and your leaderboard app, which is very brilliant considering the recurring manual workload. Can you tell us a little bit about that?

Again, how did that idea come about? You know, what did you build it with and why was that? And if you, as you're telling us about these, these things you've built, which one was the first one, which one was the next one? Like in what order did you kind of work on these? If you can recall as you're kind of ripping through them, I don't think I put them in chronological of development order.

Cam (13:46)

No, that's a great question and you actually nailed it here. So the paramutual betting app that we created was the first one that I actually started messing around with code in. And this is where, again, if I had to bring it back to the Golf Pro or whoever it might be that was dealing or that's trying to navigate AI, I knew that we've got an amazing member guest experience here. I know that we do a lot of really good things, but I'm always looking to see how we can improve.

Clay (13:55)

Cool.

Cam (14:15)

So I would say usually about probably I try to do two days a week where you know I might go to a coffee shop for an hour and and I just do a brainstorming session with with chat jbt or grok or whatever other program it might be And I just start asking questions. I start telling what I'm going through what happens in our programs Brad I think that you said this very well is in our in our last conversation where you know you could give

one little prompt to one of these programs. And it's just like dealing with a staff member. You might tell them one thing and they're not gonna learn anything from it. They're not gonna do anything from it. But the more you can feed it, the more that you can nourish it and show, okay, this is what I'm trying to do and create a full wide array of data towards it. It completely understands what you're trying to accomplish. And that's one of the things that happened here with our member guest is we were going through and saying, okay, this is where we're...

having a lot of success. Here's a lot of our programs that might not be on our Golf Genius software, they might be still pen and paper and the list goes on. And I was asking it, what do you think you can do with this data now? What can you help us with? And one of the things that I mentioned was a paramutual live betting app, which was perfect. So for those of you that don't know what that is, right now we run our paramutual based off of

pen and paper on a sheet and whoever the groups are choosing to win the actual event, we just put a tick on the board, we've got their sheet of who they were thinking was going to win and then I put it into an Excel sheet and throughout the whole day I'm tracking it trying to figure it out. And this was a little daunting of a task at the start because all this code started popping up on the screen and I had

zero idea what any of it was. I have never in my life looked at a single line of code. I couldn't tell you. I'm starting to learn it a little bit more, but couldn't tell you what it meant. But started to realize that there was real opportunity to implement this code that's already been created for me. And started using a Google Apps Script, which is Google's, I guess it has a coding area where you can

Implemented into sheets and forms and anything else that that might be So for instance in there what we did is we created a back-end sheet that That we were able to implement or import all our data from golf genius with the names of the teams where they stood We were also able to change the or put their first and second round scores in after day one so that people could see where they were but we were also able to

Export a web app that now members can can go on select their name say what they're looking to place and the dollar amounts And now we've got an automatic real-time Update of who's been selecting what groups what what the payouts are for each group? Something that you know, I didn't just go in and and say hey

make me this program. It was a byproduct of just feeding, here's what I'm going through, this is what we're trying to do. What do you think that ChatGBT can do for me here? And again, a lot of trial and error. It's not like it was three clicks and we were done with. It was continual testing, reformatting, making sure that formulas are correct. But again, that's something I would never have been able to do before.

It might have taken a couple hours to actually accomplish, but in the end of the day, not only does it save time from our team that works through it all day, and again, we're always weary of any human error that might go into it, but it also improves the user experience and for our membership. So again, that's something that we're going to be implementing this season, but have had great feedback from our committee and everyone else on a solution like that.

Clay (18:38)

That's very cool. And I imagine that's, uh, how excited you must've been how you said that was your first actual build of something that came from a brainstorming session that you would have regularly with chat GPT, just feeding it information and that whole bit from, so from the point you started using chat GPT first time, laid hands on it to the point where it was producing that pair of mutual code and script that you were putting in, how long of a kind of a ramp up before you had something in your hand, you're like,

This is an asset. is an actual tool I can use in my club. How long? How many months?

Cam (19:14)

So, yeah, I think that when I started, really, again, I wasn't using.

dealing or diving a little bit deeper in with Doug that I really saw that. So I would say it even took me probably a year to really realize that I could ask chat GPT questions. One of the biggest takeaways from the first time that I talked to him was, you know, asking qualifying questions or telling chat GPT to ask qualifying questions to help get a better understanding. And even now I feel like I think that I generate a prompt that is good enough that

chat GPT will understand everything that I'm talking about. But then I'll follow it up with ask me five or 10 questions. And I realized, there's so much more I could have done to make this better. So again, once I once I had that, it, I would say it was a couple months after that. And then, you know, I'm still learning every single day on on the coding side and and actually bringing these processes to to a platform. But there's so many different ways that that

that this program can be used. yeah, taking it all in one step at a time through trial and error and just continual learning.

Clay (20:29)

Yeah. And like I said, I have five or 10 follow up questions just to this one point, but let's keep it rolling. I have some other things I want to get through and I don't want to go three hours with our call today, but it's very cool. And so from there, just the last point, from there.

until now you've like a win upon win. you're, like you're building things faster. You're getting things quicker. It's, it's becoming more intuitive. And even now you're still humble enough to say there's so much, I don't know. There's so much more I can learn. Like, but you still feel way more competent and how to get a quicker result and how to get the result you're looking for by working with it and going back and forth and refining your prompts and the way you get your first prompt to your second prompt to your best prompt. you feel that you're

you're jogging, not crawling anymore with it, have a good, you know, handle of it or not even yet.

Cam (21:18)

I even look back at things that I produced two weeks ago that I thought were the greatest thing in the world and could not be done any better. And to see even just over a two week span, alone six months, a year, whatever it might be.

It is insane to see, you know, with just a little bit more tweaking, a little bit more learning, what's really, what you're able to accomplish. And so, yeah, I know that there's, there will never be a time where we're not learning. And yeah, it's amazing to see that growth.

Clay (21:56)

Yeah, cool.

Brad (21:58)

That's awesome, I just want to touch kind of back on that app though, just really quickly before we move on, because I know I ran a of mutual skins, all that stuff, and the amount of time that it took to eventually get to your results, what kind of time, just getting that into your hands, what kind of time did that save compared to doing it all manually in the old days?

Cam (22:21)

It would be... it would...

I would assume it would save at least, well, you're gonna have two hours of time in collecting the data. You're probably gonna have another hour of inputting the data. And then you're probably another good 40 minutes just trying to make sure that the data that you created was correct. And again, the time's a big one. That's really important. But the big thing for me was kind of eliminating error, making sure that we know exactly

Everything's time stamped. We know exactly when people submitted their requests. We know where everyone stood, what the payouts were, et cetera. And again, we made the user experience better. those were the two byproducts that are important. But yeah, we're safe. We are cutting hours off of every process that we're doing here.

Brad (23:20)

That's amazing. Yeah. And that's really what AI, like when we were doing all these calls, AI is saving a tremendous amount of time for people, right? It's, it's, it's, they're basically buying back their time and they're, they're able to take a lot of the tech that they already have in place and then just improve it with, with more tech, funnily enough. So, yeah, finding extremely fascinating having these conversations, how it's freeing up people's time.

Cam (23:46)

Yeah, I think freeing up time is, you know, how I look at it is now that I have more time to, you know, communicate with these platforms and really take the time to figure out how we can get better, improvements, or even where we're winning and keep working on that. So, yeah, it's really freed up the ability to be creative and not working on tedious tasks.

and just streamlining everything. So it's been super helpful.

Clay (24:21)

Yeah, it is. It's the time people it's, it's hard to truly comprehend how much time it will get you back. And so, but you mentioned creative. Let's, let's touch on creative side a little more. the creative side of a golf pros work, event branding logos, promo materials, you know, whatever else needs to be created. is, it taps into the creative. you've started using AI for visual work too, right? Can you tell us just a little more about that and how you're doing that?

Cam (24:47)

Yeah, think, you know, we know that tournaments are a special event that goes on at a club and to make it personable and personalized is again, really part of the experience that we're bringing to our events. So now I've got file folders for every single event that I do and I've got a caption of what the event entails, who's part of it and the goal of the event itself.

And what we do as well is now we create some branding around it. So we use, whether it's Dally or even just ChatGPT itself to create a logo for the event. Make sure we can put something on the scorecards that says this is your event, this is what's going on. If we wanted to do, for instance, a merchandise for an event, some personal branded stuff there, we've really changed from something that just says in text in Times New Roman, you know.

It's something that's actually got substance now and something that shows care and shows that we're taking our events to an elevated level. And again, I think it's one of those things that probably takes me 20 minutes to just get something put together. again, it just takes it up one more step from what it already is. And I'm not a creative person. I'm not somebody that can sit there on Canva or Photoshop and...

Clay (26:11)

Yep.

Cam (26:17)

figure something out. We've branched that out into our retail operations and some of the products that we're creating there or some of the communication that we get out to our golfers as well. So again, I don't come from any of these backgrounds. Not an expert in them by any means, but I've got the tools now that I need and everyone else has the tools they need as well in order to start at least experimenting with them and learning with it.

Clay (26:46)

100%. I say like off quite often any manager who is, has anybody below them, could be a mid level manager, any little manager. you have anybody below you, you're delegating something to someone usually, or overseeing a job being done that was delegated to you and other people are part of your team and you're kind of the manager, but still in the team, if that makes sense. But the point being is

quite often in management, you have to know what the outcome is that you want. You have to be able to do the first 10 % of just kind of outlining what it is you want. Then you delegate the other 80 % and then you kind of just check up and edit and do final finalizing on the last 10%. So most management jobs, you only need to actually be able to do quote unquote, do 10 to 20 % of the work.

which is delegating and then just checking it, making sure quality is there that you want. Most of it's delegated. And previously you had to delegate that to a person. Now you can just delegate it to the machine. The machine does 80 to 90%, 95 % gets you what you want. You're just putting eyes on it to look at it. just, yeah, that's what we want. And then you know the outcome you wanted and you know when it's good enough. And so most people can get the same results is what I'm saying is that you don't have to be

Knowing the engineering, like you said, it wrote code. You can't write code. can't, you're not a creative person. You just, but you know what you want on the other end. And then you can kind of look at it and it's, it's yeah, it's really, there should be no, fears of not being able to use this. I know people have ethical or moral or some resistance. It's just, it's new, it's foreign, but the fear of like, I won't be able to get it to do what I want and I'll feel stupid. That should not be anyone's fear at this stage of the game because,

for all the reasons we've said so far and more to come.

Cam (28:34)

Yeah, it's honestly, lack of data you're giving it. again, even so, so for a simple email, even, you know, a lot of people see, he, they just created that with chat, GBT, they did it in 10 seconds. And not, not at all. I think that where we get to the point of the communication that we're creating now, it's not just a simple copy and paste. Like this is what I'm trying to do. Here we go. It usually takes me longer than it would take to write an email to.

give all the information that I'm looking to get out of the content. And it just enhances my communication so much better. Again, I think that you can see very quickly the normal formula of okay, copy paste, here you go. Everything looks pretty much the same that's being implemented. But the more information you give it, the more questions you make it ask you.

you can really start to get the proper communication that you're trying to get. And where we've taken, you know, for instance, emails is or communication to golfers is I give all the information I'm looking for and we can create a table now of, this is what I want to send out on this day. This is going to be the next piece of communication that comes out on this day and so on and so on. And again, it's got everything it needs. It's not lacking.

details at all.

Brad (30:03)

Yeah. Yeah. And that's, that's, you know, that's, that's one of the best things about it is that it's enhancing, right? We're always talking about that. It's enhancing all of your, your staff, yourself. you know, it's, it's, yeah, it might take up, might take up a little more time at the beginning, but then you have, you know, if you're saving all these prompts in some database somewhere and you have all these prompts for the future, you just, you're just copying and pasting a lot of the time and then changing a couple of things here and there to customize it for the various events.

or, you know, outreaches or whatever you're doing. And then the same thing with your, with your tournaments, because I remember sitting, you know, I'd run a woman, woman's member guest and they always love to have themes. So it'd be like a circus theme or something like that. Right. So you could use, you know, chat GPT to craft up all your emails to make sure they're all circus themed. And then you could actually, you know, create this circus theme around everything that's published for the event, as well as your scoreboards.

you know, your scorecards, anything that was gonna be printed, you could actually use that. Whereas in the past, I had to go in and, you know, find all of these images on Google, import them, and then crop them all. Like Cam was saying, like I'm not like an inherently creative person in terms of like artistic or anything like that, but I know what looks good. And just cutting that whole process out with these platforms has been amazing. So let's...

You know, cause a lot of pros think that that design has to be outsourcer expensive. It's not true at all. You're, you know, Kim, you're proving that AI can make in-house creativity way more accessible. So let's, let's shift here. Let's talk leadership for a second. You're not just doing this for yourself. As we mentioned, you've been getting your assistants up to speed with AI as well. How are you coaching them through it? What's worked with them to help adopt an experiment with this tech?

Cam (31:55)

Yeah, I think that's where I'm really excited about where we're taking things now is getting to teach my team as well how to use this and really see that, okay, you've got the tools here that you need as well, not just myself. And where it really starts is when people start to ask me questions. When my team comes to me with some questions, instead of just giving answers, I try to show, okay, here.

Let's open ChatGPT. Let's see where we can take this. If we have a meeting together, I'll have them take the information from the meeting and start to input it into the system and make sure that we're starting to learn a little bit more and realize that you have all the keys in front of you, have the solutions in front of you. You just have to poke and prod and give a little bit more information to get what you're looking for.

And really what it's doing is taking it from, I'm go to camp for all the answers here or to get an answer for this and try to change the thinking to, okay, what am I trying to accomplish? What do I have to give to get the information that I'm looking for? And how do I present it in a way that the team can see it, that if I need to see something that I can see it. And really just learning how to stimulate your brain.

into learning it now.

Clay (33:26)

Yeah, and I would say...

the right way to do it. That's a very, it's a very good point. It's the right way to stimulate your brain into learning it this way, because prior to these tools coming out, some people, like you said, some people would come to you and ask you every question. They would not learn it themselves. Other people they have, we have in our phones in our pockets for a long time, YouTube, Google search engines. These are not new things. And I've been learning on these things for 20 plus years. I just have a question. I go to YouTube. go to Google, ask it, but

You might not get a good result. might not get what you want in the results. You have to sift through all this stuff. It's again, incredible tools. It's changed the whole world. It's changed my life. But people, if they need the information specific right away in seconds or moments, they don't want to dig through a search engine results or watch 10 YouTube videos. They don't know if they're good or not. They have to trust to the content authority, all this stuff, this tool, it appeals to people's, I want to say inherent laziness, but I would say inherent

Thriftiness with time. We don't want to be so wasting and losing time. And if I know you have it, I'll be tempted. I'll be honest. If I was your assistant and you're my, you're my boss and I know you have an answer in your head that I just need and I don't have it and I could ask you and you could tell me in 30 seconds, what might take me five minutes to research on my own or 10 minutes to reach us on my own. I'm going to be tempted to ask you.

over and over and over again, but that's a waste of your time because I can go research it myself. Now with these tools, you can just ask it a question, say, give me the shortest answer possible to this question. It'll give you the answer. Then you're like, okay, now I know. I didn't know what paramutuals were. I had no idea. I asked, what are paramutuals? Explain it to me. It gave me a whole breakdown of paramutuals. I'm like, I know paramutuals now. And so now I came to this, I didn't want to come to this conversation with both you guys knowing what paramutuals were, because both you guys knew what it was. I had no, never heard the term in my life.

went to it, asked it, it gave me a whole breakdown and I'm like, I could actually have a conversation with these guys about Pyramutuals and not be completely ignorant on the topic.

Cam (35:25)

Absolutely, and you know, think two good examples right away is this piece of play tracker. I had my one assistant take all the information and you know, we had talked to a couple different people about it and I had him create a document on what we were looking for and had him tweak it and ask questions and try to figure out how to get this exactly what we're looking for instead of just a quick, I want a piece of play tracker, here you go. And another one was,

was one of my pros that was dealing with a difficult conversation with a member and came to me asking, okay, what do I say? And, you know, going through all of this to figure out, okay, how do we properly communicate with this? And not just a simple, here you go, respond with this, but find some information, collect what you're trying to accomplish, and find a way to properly say it. Bring it to me and we'll see what we need to

do with it but really find a way that you know you've got a problem. Start to try to create prompts and ideas that will help craft something down the way that you're looking to take it. Again, it will be generic at the start. It will probably make somewhat sense at the beginning but the more data that you feed it and the more time that you spend on getting crystal clear and making sure that...

that the responses are understanding what you're looking for, completely will change what's coming.

Clay (37:00)

Yeah. And, and, and like this, you're back to the search engine. You can ask you these questions. You can do these prompts and all this stuff. can teach you, you can learn from it. can give you exact. Again, take everything grain of salt, yada, yada, yada. Machines are wrong. They're wrong. Sometimes it'll even tell you sometimes I'm not accurate all the time. It's not accurate all the time. Now it's more accurate than it's ever been in the past when I've used it. but unlike a search engine, you can get the information you need. It can teach you and then you can say, okay,

What of this can you now do for me? I can't go to Google and say, Hey Google, okay, now you've taught me this stuff. Can you not build this thing for me? Google's going to go, here's an article about how to build the thing. don't know. No, no, no, no. You build it for me. You write the code for me. And it's like, I can't do that. I'm Google. I'm like, ah, okay, I'm going over here to chat to BT. Cause this thing can now do the thing I want to get done. Not just teach me how to do it, which again, takes take a job. You can, you can do six months worth of work. No joke. Six months worth of work in six hours of like,

Cam (37:32)

Thanks.

Thank

Yeah, cheers.

Thank you.

Clay (37:57)

dedicated,

sitting down, churning out the response of the content, plugging them into where you need to in a Google doc or a template or a, or an email campaign and putting the dates on all the emails. can write a whole seasons worth of emails in a day. You know what mean? And it's like one day someone could sit down and from nine to five be done a whole year's worth of communications, all seasons worth of communications or two people or three people doing it. One day's work done the whole, the whole

years where the comms are done. it's incredible. It's really incredible.

Cam (38:30)

Yeah, absolutely. And that's where it's taken us. And the one thing that I learn every single time is that even when I know what I'm trying to communicate, I learned something new and it shows me something new that I wasn't thinking about or, again, I don't know the capabilities and the of the pitfalls of

of where AI and coding and everything else can go. I really don't know what it can create. So when I ask those questions, it starts to, I start to see all this, these different options and solutions that were never on my forefront, the forefront of my brain. And I learned that every single time. And I think the biggest thing is always be curious and I don't walk into, you know, when you're dealing with something thinking, okay, I know the end result here. I just want to go get it. You can learn a lot throughout the whole process as well.

Clay (39:22)

Yep.

Cam (39:23)

have to be curious and you have to understand why you're using the platform in the first place.

Brad (39:32)

Yeah, definitely. I know sometimes even being able to test out new tech means means going through a few extra steps, right? And a lot of people, they're at the point with this tech where, you know, you could compare it to like going for a jog. It's like they don't want to even put on their shoes yet. They're not even ready to put their shoes on and lace them up and start running. Right. They just they want to keep the shoes in the closet and not put them on. But but you know how it is like with with with a jog for any of you joggers out there. It's you know, you put your shoes on.

getting over that first step, you're outside, you're running around and your heart starts to pump and eventually you start feeling really great and you're like, wow, I'm so glad I did this. And at the end of the jog, you're like, wow, I feel so much better now. I'm so glad that I went for that jog, right? So, with this tech, can't be done quickly or easily. So it's harder to experiment with when you're getting into it with new tech, but it provides massive benefits.

And you said you'd love to have an AceCall.ai receptionist put to work right away in your pro shop because you see all the ways it could help you and your staff and clientele. But what would you say to other golf pros out there who are excited to try new tools but feel a bit stuck, whether it's because of approval processes or existing legacy systems or because of just the way things have always been done historically, mentality?

Cam (40:51)

think that one of the big things is understanding that you got to take it step by step and baby steps and not just saying, okay, we're just going to completely revamp this altogether. It takes a lot of time to get things right. And I think that one of the other things that's important is understanding you'll probably fail. it's not the AI's fault for why it's failing.

I think about this, this T time tracker that we've, that we've been working on. It's been, it's been hours and hours and hours of a process. And it could have been very easy after the beginning to just say, you know what, that's it. We're not doing this. I keep getting these errors and we're, not going to do it, but you completely, you continue to learn and grow and give more data. And really, I could not imagine.

how many times we've gone in and done tweaks to make things better and to learn and to fix errors. And again, you learn so much as you go. So I think that the biggest thing is to learn that, you you might not fix all the problems all at once and you might not get the answer right away either, but you need to use it as a resource to say you've got everything in front of you to learn a system, troubleshoot, and kind of learn as you go.

And down the road, it's going to help you so much more. Like I think about even in the last three weeks, from Google scripts to coding to everything else that we've learned, it's like night and day. But it wouldn't have happened if we just kind of quit. And I think the tech in the golf shops or anything else has to be taken the same way. Do not quit. If you truly believe that your role is to create the best experience for your membership, your golfers,

your team, your staff, and also for yourself, you need to take the time and effort to really change your mentality on artificial intelligence or technology itself and use it as a solution to grow your team.

Brad (43:04)

Yeah, yeah, big time. and you know, these are things that are going to be on your resume in the future if they aren't already. So you know how it's like proficient in Microsoft Word, Excel, et cetera, et cetera. Then you have all your other golf exclusive programs, know, golf genius, Jonas, et cetera, et cetera. This is going to be on your resume. And if it's not, people are going to, they're going to, they're going to pass up on it, right? But if you're like proficient at chat GPT,

And then you even say like, I've built these apps, right? And I've integrated them with these systems. They're going to be blown away and they're going to be like, let's get this guy. Like this guy's got a tool belt full of tools. Whereas the rest of these people don't, they have all the other stuff. They have your Microsoft Word and your Jonas, et cetera, but they don't have the tool belt that a guy like Kim has. So this is why it's necessary to adapt because we always say this on our show. It's going to be the people who know AI.

who are moving forward with AI that are gonna get the jobs in the future, that are gonna be more hireable. And if you're not doing these things, right, you're just not adding those tools to your belt.

Cam (44:11)

You bring a good point there, Brad. I think, especially when it came out, the message was always AI is going to take everyone's job. AI is going to replace people. And I think that that's completely false. I think that the jobs are going to go to people that understand how to enhance it. Yes, maybe every

you know, put a prompt in and say, okay, I know it, but to be able to dig deep into it and learn and grow from it, again, it's things like this that, you know, if I asked six months ago, okay, what do I know about Chachi BT or what do I want to learn from it? It's none of these things that we've spoken about, but they're all byproducts of the processes that we've gone through to look at solutions, to look at the problems that we have on hand and just being curious.

And now those are in our tool, but we see how those can be impactful and we can go from there on making changes.

Clay (45:13)

Yeah. And you know, what you said, Brad, and you said, Cam, the, skillset, if you could put in your resume, wrote a year's worth.

of merchandise, promotion emails timed for the season in four days for the whole, whole like wrote like 400 emails or 200 emails for each different product line segmented. But you can do some stuff like if you could put that in your resume, accomplish this outcome in this X amount of time. And you can slash that time by 80 to 90 % of the normal time it takes to get these jobs done. People are going to throw you.

And you can do the job of 10 people versus one people that you might get paid double what you, you're, you're comparable with in the market because with your skills coming in, you can do the job of 10 people. And again, that's not to say they should back to what you're saying. I don't think people are in golf. Sorry. And cam to your point, I do think robotics and AI, AI will replace people. apps and AI will, it will replace people in certain industries. Like I follow some of these AI.

newsletters and these big blogs and I get notifications for all this, the news about this stuff. And I just scan headlines. I don't read everything. I don't have time to read every single thing, but I just try to see where, what does Bill Gates say about AI? What is, said his biggest regret about not getting into AI earlier and I, and what, what jobs will be completely replaced? says Bill Gates, right? Like, and so I'm just curious what these guys are saying. What

Where is it going and what are people trying to do? Cause a hundred people will fail. A 99 out of a hundred people will fail in their glorious grand, grandiose dreams. But the one guy that the one team, the one company that can make some of these things real will, will absolutely change the game. They claim like lawyers will be gone. Doctors will be gone. Like anybody that analyzes information and makes decisions based on information will be gone. And the next group will be gone based on robotics. As robotics come in and can do things, it will replace people.

from people picking apples to whatever, it's going to be robotics and AI. you know, the art, the ethical moral arguments against all that is what are people going to do if they have no work to do? And people say, they'll be free to do art and to travel and have fun. And I'm like, I don't know. Some people just need hard work to do, or they kind of lose their mark, their mind. I'm one of them. I need to be working on stuff. I need to be like working and focusing my mind on problems. And it keeps me like very fulfilled. And if you took all the problems away and robots fixed it all, I'd,

I don't want to live a life of permanent leisure constantly. I like to be solving problems, but back to golf. I don't think golf is one of those ones that's going to have a massive labor overhaul. I think as people working in the industry become better at what they do and more proficient, if you could have all of your assets created in a month before the season even starts.

And you had all that time back for the six, four, five, six, seven months ahead, wherever your season peace seasons are. You could just be hanging out with members. could be talking to members. could be teaching members. could be, you know, watch whatever to be done at member facing work can be done. It can be done eight hours a day, five days a week, you know, during your whole season and imagine never being on your computer. You're like, I already wrote those emails back in April or back in March for this. These events coming up in August. I scheduled them. I proofread them.

Cam (48:26)

I'm closer to you.

Clay (48:36)

double checked all the links makes back to the human area. said cam writing the things is one part, putting them into your systems, scheduling them, making sure the links are all correct where they go. There's all types of stuff where humans can mess up. If you're scrambling to write stuff a week before it's supposed to be sent out, there's human error. There's always going to be human error in those tight squeezes, but this, these tools can help you get done so far in advance that you can kind of cruise into these events being like, I had all my work done months and months and months ago and

There's a peace of mind that then everybody shares, which contributes to team morale, which transfers directly to the member experience and the golfer experience. I imagine as I, from the outside, looking into the golf world.

Cam (49:18)

Yeah, absolutely. again, I think that big message to convey is using AI is not lazy. It is not cheating or anything like that. Like, it takes me a lot of work to do this. Like, I can't tell you how many nights that I've been up, 3 a.m. continuing to work on all this stuff. Like, it takes a lot of time to make sure it works properly. But again, if...

Clay (49:31)

No.

Yeah. I've taken four or five hours

to write a single prompt. I've taken four or five hours where I'm putting information in refining it. Like, is that what I want for that part? The context, the resources, the instructions, like if you give it those level, one prompt can get you exactly what you want in one shot. But if you don't, you could be going back and forth for hours and hours anyways.

Cam (50:05)

Yeah, and to that point, if you were trying to create the best experience possible, that's how you're going to get it. It's not by trying to do it all on your own or a simple copy and paste. It's going to take some time. It's going to take time to learn and grow. And also just being curious and asking questions.

Clay (50:25)

Yeah. And you said before that, you know, know, there are golf pros that either hide their use of AI or don't talk about it publicly. Again, back to the whole, that's lazy. I'm lazy. Like, why do think that is aside from just being lazy and how can we help shift beyond these conversations we're having right now? How can we shift the culture toward being more open and innovative, more open to innovation and just sharing wins, not keeping them, hoarding them to themselves, but sharing the wins, right? So others can.

stand on the shoulders of each other and get launched ahead without taking the learning curve. Like I want to spare people my learning curve. You want to spare people your learning curve as much as possible.

Cam (51:04)

Yeah, absolutely, and I think it's a great question. I think a lot of people try to hide it or pretend that they don't use it. And I don't understand completely why, but I think a lot of it might be because they're not using it to the full potential, and they might just be copying and pasting. And I think that what we talked about last time with you, Brad and Clay, was if you look at AI as a computer itself, 90 % of the people that are using AI

in comparison to that computer are just using Microsoft Word. It is one little part of it. They might create emails, they might write an email or an e-blast that goes out, put it into ChatGPT and wow, look at this, I've written this amazing email to go out and it's, you know, there's so much more to it. There's so much more you can learn and grow from. So I don't.

think that they're using it to its full potential and they might see that as you know people might look down on me for using this I don't want people to know that I'm using this and again I think that if you open it up I'm very open about about my use of it because you know I want to create the best programs I want to make sure that we are doing everything that we can and I want to share my experiences to help others do the exact same things I think that's what we're supposed to do.

Clay (52:28)

Yeah, a hundred percent. And we recently started a private group on LinkedIn called ACE AI. It's a, mastermind for golf club managers who want to win with AI. and we wanted to start building a community of like-minded, and curious club managers, regardless of the stage you're at, regardless of, your level of, you know, sophistication or competency or experience, even if you're completely ignorant, never touched it. And just even a little bit curious, you're welcome to come. And if

Cam (52:34)

Peace be with you.

Clay (52:58)

someone like Ken, who's already a couple of years into this building stuff on your own, using the tools available, come please, you'll, you'll be welcomed and we'd love to have you celebrate and we'll share your wins so we can celebrate and recognize it, acknowledge, but also learn. so that it can be a, what do call it? A.

repository of

information, a library, right? We can start building, putting assets in there, building our own prompt library. So other P other people can just jump in and say, okay, I'm in this department. What prompts have been the best prompts that this whole community have found for food and beverage managers for golf pros, for general managers. And we can go right in there and already see what's working for people. back to the whole learning process. This learning process is as easy as if you get a good prompt and you copy and paste the prompt in, you're going to get the result and you're going to go, wow, I didn't have to write the prompt and now I just get the

result.

So it's even faster. But again, we all have to be sharing. We can't just be having these files on our computer, these libraries on our computer. The purpose of a library is it's a public library. And if we can all share, you know, even prompts like that, like we have the AI, the golf club AI amplifier, and it's got a, you know, some basic instructions. We, you know, warm people up to to using it. But then we just give some cut and paste, copy and paste prompts.

that if you don't have to write yourself, can adjust them or massage them, but it gives you a starting point. So you can just copy and paste it in, see where it's at. On that note, before we continue on, I'll just do a really short little plug. If you'd like to get that guide, call 1-866-838-8581. Again, 1-866-838-8581. It's plastered all over our website and all over our...

Everywhere you find us, you'll find that phone number, call it and ask for the golf club AI amplifier. And we'll get that sent over to you right away. And also ask, find us on LinkedIn, the ACE AI mastermind for golf club managers who want to win with AI, find us there, find us on LinkedIn and we'll add you to the group. And, over the weeks and months ahead, it's going to be growing and it's going to get more and more valuable. So, I encourage you if you're listening.

Do connect with us with Brad and myself on LinkedIn and we'll get added to that group.

Cam (55:18)

And to be clear, I've been using those prompts as well that you both sent over and have really helped kind of streamline processes, make things a lot more clear. So that AI Golf Amplifier was an awesome asset that I think is very easy to use and can just take whatever you're trying to communicate and make it so much more clear and understandable. So thanks for sending that over.

Clay (55:44)

you're most welcome. I'm glad you're using it. I'm glad you're using it right away.

Brad (55:45)

Yeah, pleasure.

It's good. Yeah. I think it's a great place if you're like fresh to AI and you know, maybe you're a bit of an older general manager or golf pro or something like that. But like Clay said, it's like a repository, right? We're trying to create this think tank of information. There's a lot of, I'd say general managers that are kind of at the ends of their career. Maybe they have five, 10 years left. You know, maybe they have two, three years left and it's leaving this industry in a good place before they move on.

Cam (55:49)

Let's go.

Brad (56:18)

Right. So they have a chance to actually learn this stuff and give it to their club and then kind of move on if they, if they are planning on retiring or anything like that. And I find that's extremely valuable. And, and, and again, we're, trying to keep this industry moving in the right direction, right? We want to keep it going in the right direction. And if it doesn't adapt, cause it is slow golf is usually very slow with tech to adapt. and it's usually lagging behind other industries. We just want to kind of get ahead of that and then, you know, give these.

give these tools to golf pros, general managers, basically anybody working at a golf club and really help them improve themselves and then improve the experience for the membership for their staff all along the whole time. So yeah, Cam, we love your analogy about how most people use AI the same way they use Microsoft Word. I love that analogy. Just one basic function where the entire operating system is sitting there unused. What do you think are the biggest missed opportunities right now for golf pros?

that are right in front of them, perhaps right under their noses.

Cam (57:21)

Yeah, that's a great question. think the game changer for me was asking questions and really inputting a lot more data than I thought was needed in order to get an answer that I was looking for and just asking the program itself what it can do for you. Again, I don't know what it's capable of and I think that that was the biggest thing for us. And again, it can do things like some of the things I use on a daily basis are

I'll give you an instance. We just sent out our e-blast to our staff that said, we're opening next week, we're looking to get some people in just quickly so that we can get enough staff in to cover this next week and then we'll use our scheduling system after that. So I had to create a whole email for me, but then I also asked to build me some code that I could create a Google form and a Google sheet that the employees can...

input their data, goes to a backend sheet that my scheduling staff can take care of and see all of the information there. So you can open so many different doors other than just generating emails and just...

anything from call it a word standpoint, I think that you can really open up a lot of different capabilities or take your team to a new level that you didn't know that you were capable of.

Clay (58:58)

Cool. And so on that note, where, cause I really want to dig into the pro shop, the specific application of this stuff in pro shops, whether it be a golf pro or a trainer's workload. And you mentioned a bit about scheduling, any ideas?

to, if you've used them or ideas, if you have them on how these tools can be used for, you know, a trainer's workload and instruction or, merchandising or retail or, know, any, anything else, anything else at all in your guys department. It's coming to mind.

Cam (59:30)

Yeah, so I think when it comes to instruction, one of the biggest things that I do, again, it's not perfect or the best process, but at the end of my lessons, I throw on a new chat GBT with voice text on and I'll just go through my normal spiel of kind of my summary of what I'm trying to communicate to the golfer. I'll demonstrate, I'll do everything within it. I'll end the voice chat.

and then create a summary email for them. again, very, very simple. There's one that's kind of streamlined. There's nothing to it. All I'm doing is the communication, then boom, right away they get an email, copy and paste of what I'm looking for. But when it comes to pro shops or dealing on the leadership side of things,

think that it starts with identifying flaws and just understanding where you don't think you're the strongest or maybe where you are the strongest. And using that as a way to ask questions to change things. We took a sit down with all of our standards.

procedures this year and tried to come up with better ways to communicate those, to highlight them and everything else. So again, there's ways on kind of cleaning up text that we like to do, but I also think there's great ways that you can streamline processes with applications or advanced sheets or Excel files. But again, it's being curious and knowing.

you're looking for or what you're not looking for and finding out what you might be looking for. And again, that's the biggest thing that's changed it for me is not going with the answers to ChatGPT, but saying, okay, here's everything that's on my plate right now. What do do?

Clay (1:01:30)

Yep.

Brad (1:01:30)

Yeah,

yeah, it's a great, great assistant in that manner. So Cam, you're also a board member with the PGA of Ontario. What conversations are happening right now at that level when it comes to AI and what should we be talking about more?

Cam (1:01:46)

Yeah, that's a great question. And it's become a big part of our education programs and understanding how to better use it. And especially as a whole, think that, you know, from the events that I've been at with general managers as well, it's understanding how to properly use it, kind of the privacy concerns or some of the security concerns that you may need to be aware of. But I think that we're starting to see

big acceptance from all levels of management and different positions to using the platforms. And now it's properly advocating for them, showing proper use, seeing where some pitfalls might be or where you may need to be a little bit more wary from a security or privacy standpoint. But I think that we're really in an advocacy position right now.

And again, just like this, finding out how do we use that. For us, duck foley has been a fantastic resource for that. the conversations we have with golf bros, a lot of them don't even know what it is or they're not using it to their full potential. So it's our role to try to make sure that we're giving the tools to make that usable.

Brad (1:03:11)

Yeah, that's awesome. And there's so much there, you know, as we're breaking this all down, so many different tools and so many aspects to tap into. So it's really just getting started. And, you know, the PGA is doing a good job. I've seen, you know, they come across my email that they're touching more on AI. Also, club managers associations are doing it as well. I think they're just getting their feet wet with it. don't think it's, especially this past one that happened.

with the club managers association of America. I've spoken with some general managers who went to the conference down in Tampa and they were saying that it wasn't, they thought they were going to get more. They didn't quite get what they thought they would and they didn't really come back with a sense of knowing where they should be heading with this. So I think we're just kind of ahead of it with things like this, like podcasts and think tanks, LinkedIn groups, you know, where we can really start educating from within here. And then I think these, you know,

as we become a bit more proficient in it, can, you know, we're ideally we're hoping to actually go to some of these conferences and talk about AI eventually. And we're looking forward to that because I think we're just ahead of it. Like I'm no expert by any means, but as long as I keep educating myself, just like you're doing Cam and Clay, you know, we can kind of lead this charge going forward, right? So Cam, before we wrap up here, sorry, go ahead, Clay.

Clay (1:04:37)

And so,

yeah, no, just before you dive in, I just wanted to say as well, like it's, it's such a huge ecosystem. It's like any app or any, the internet, right? And people are like, I make money on the internet or I do business on the internet. It's like, well, what are you in hosting? Are you in domains? Are you building websites? Are you in payment processors? Like what, is your thing on the internet? So it's, it's a giant.

Brad (1:04:42)

Yeah, yeah.

Clay (1:05:01)

giant ecosystem now that maybe back in 1990, someone was like, I'm getting on the internet. People were like, what do do there? They're like, I buy, I have a website server and it's like, Whoa, you have a server. That's cool. Like it's like, yeah, I have a website and I have a server and it's a, it's a big computer desk in my house, a big tower in my house. It's, completely different. was the, the, the, it was hardware and really introductory level software back in like the nineties and people that got on it. Then they saw where it was going. And now they're like,

billionaires, know? And so people that just have a little interest in this now can get ahead of it. It's where it's going.

Cam (1:05:34)

interested in this now.

Clay (1:05:46)

lost my train of thought, but the point was being is, the niche, everyone can have their niche. Everyone can figure out their specific application for their department and their use of it. And it could just be using chat GPT, but for us it's it's voice AI.

Like we are, you know, very bullish on voice AI. We think that the phone lines and the phone systems people, no matter where AI goes, no matter where the internet goes, no matter where robotics and humans interact, people are going to have to call people. People have to call each other or call businesses to get information. I don't think that's going anywhere anytime soon as the phone. So we're going deep on the phone and voice AI in golf and how that can work all the different applications, all the different integrations and what we can get it to do. That's, that's what we're betting on.

Cam (1:06:28)

Thank

Clay (1:06:29)

And that's what we're focusing on, but there's other applications. is dynamic pricing. There's tee time scheduling software and optimization. There's things that would be more of a bet better fit for public clubs versus private clubs versus semi-private clubs. So there's all these different applications and, opportunities. And I.

Cam (1:06:44)

Thank

Clay (1:06:47)

I look forward to going deep where we are and the lane we're in, but I look forward to doing this and keep talking with you. I never would have known about the things you're working on, Cam, if we hadn't reached out to try to touch base with you. So this is a big part of AceCall.ai is the AceCall.AI podcast and the community in the network that we're trying to build and the repository. And that's it. We're very excited to start this right now and look forward to contributing.

to helping the industry move along in this direction.

Brad (1:07:21)

Yeah, definitely. so yeah, Cam, before we wrap up here, we, we touched on this a little bit before, but I'd like to hear your thoughts on, again, the popular phrase in the zeitgeist these days, which is, something like AI won't replace you, but someone who knows how to use AI will. you definitely heard this phrase. We've been talking about it and, you know, what are your thoughts on how it could apply to golf pros and trainers specifically? What will the bifurcation look like between

the golf pros who know these tools and those who don't.

Cam (1:07:55)

Yeah, I think that that's been something I think about daily is, you know, what are you getting out of these programs that somebody that's not using them isn't? And as we've talked about, know, started simple coding or started simple design and everything else and you're building your tool, your toolbox, right? And I think that at the end of the day, when

going into those interviews when you're performing at your golf course, you gotta have the ability to use that toolbox. Not know that it's there or know that somebody can do it, you know, if, for instance, if you can sit down and say, okay, I've got this idea, how do I internalize it and put something on paper or put it into a sheet or an app or this or that, it's going to completely...

open a whole new scope of where you can take your role to. Golf pros wear so many different hats and at one moment you're dealing with members, the next moment you're dealing with budgets and then retail and then tournament execution. To be able to dive into all these toolboxes is what's going to be able to enhance you and do the things that other people aren't.

It's that constant message of being curious of where it can take you that you will start to add those things to the toolbox. You're not ever going to know where it ends and it's not going to end. having these tools takes it from being a really great pro that is good with people and knows business to being able to actually execute things and take things from a thought to a process that your golf course is using.

Brad (1:09:42)

Yeah, very, very good final thoughts there, Cam. This has been awesome. We're definitely going to have to do a part two in a few months to hear how the tools you built are helping you guys during peak season. But before we go, let's wrap with a few rapid fire questions, one after another. Not too quickly here, but we'll see what we can do. And we won't reply to your replies. Sound good?

Cam (1:10:05)

Great.

Brad (1:10:06)

Awesome.

Don't think too much about your answers. Just say the first thing that comes to mind. Favorite underrated AI tool besides ChatGPT or Grok?

Cam (1:10:17)

Great question. Start using Replet after your guys suggestion there, which is a coding tool which has been fantastic.

Brad (1:10:27)

Awesome.

Most game changing application you've built for your operation so far.

Cam (1:10:33)

So far it's the pace of play application that we're building. Again, we'll have more information on that soon, but just even the data we've been testing has been amazing. So looking forward to implementing that.

Brad (1:10:46)

Sweet

biggest AI fail or face palm learning moment in the last year.

Cam (1:10:52)

I would say the same thing. think this app's been taking me hours and hours and hours of failing. But again, it's not stopping and enhancing and learning. And it's taken me from, you know, I could have given up and quit to actually understanding what I'm talking about, knowing how to do it. And now the next thing that I go to do is going to be so much better.

Brad (1:11:17)

Yeah, 100%.

A golf club outside of Glen Abbey that you think is doing cool things with tech.

Cam (1:11:25)

Oh man, that's a great question. think that I think I've seen some great good opportunities, but it's a great question. One of the things I'm always bouncing ideas off of is Cokedown Woods and very forth over there. And I think that it's understanding, you know, how can we get unique ideas and craft them to use technology and to do things like this?

I think it's programs like Acecall, AI, where if we can implement those programs, it can just make it such a better experience.

Brad (1:12:08)

One pro tip for getting started with AI this season.

Cam (1:12:12)

questions. Don't go in looking for answers, just ask questions and give way more information than you think. I'm pretty obsessive of how much data that I give to chatGPT and building off of previous GPTs that I've been working on to really dive in to get a clear answer of what I'm looking for.

Brad (1:12:38)

Awesome. Those are great answers, That was really great interview. Really, really a pleasure. Thank you so much, Cam. Really appreciate your time.

Cam (1:12:39)

Thank

Brad and Clay, this was a pleasure. I really appreciate it. Again, learned so much from both of you. Really like the platform that you've created within the podcast and then also with your AceCall voicemail system. So thank you so much for the opportunity. And I think what you're doing is great. I think that it's helping golf pros and managers to see the value and getting it out at the forefront and understanding that it's important that we are taking advantage of this.

collaborating and not just hoarding to ourselves and seeing that you know this might help me but I'm going to keep that for me and really try to find out how we can improve the industry as a whole.

Clay (1:13:27)

Yeah, no, couldn't, couldn't have said it better, man. So really seriously, thank you and much respect and a big hat tip that I don't have on for, what you've accomplished so far. It's very impressive and keep it up. We look forward to speaking with you more and learning with you more. We're all at the, we're all at the beginning of this. None of us are that much farther ahead than the others. A couple of years seems like a long time, but if you're

piggybacking on the progress others have already gotten, then you're going to be catching up pretty quickly. And that's what the software is designed for. It's designed so that anybody can use it and get results quickly. It's not designed so that people stumble around with it for years and years and get discouraged by it and then don't use it. uh, and just, yeah, thanks for your time. know you it's the busiest time of the year for you right now, getting geared up and, uh, this is the early in the morning. So, you know,

You squeeze this in. really appreciate it. And I think this episode, it's going to light a fire. It's going to light a fire under a lot of golf pros and GMs and whoever's listening, who just needed to see what's possible, right? And needed to hear it from someone else other than Brad and I, you know, lot of the golf pros and sorry, the managers, the GMs we've spoken with, they're into it. They're open to it.

They might've used chat GPT a bit here and there to write an email, like you said, or get something done. but no one's using it at the level you're using it. And so I think this hopefully will help people see what's possible and get the gears going in their own head. And this conversation makes it all very real.

Cam (1:15:01)

I both of your times, Brad Clay, and thank you once again. Yeah, I'd love to hear how other people are using it and growing from it. I hope I'm not the only one that is using it to kind of more advanced level than what it's capable of. So continue to learn and be open in the dialogue for that. So thanks so much for creating that as a platform.

Brad (1:15:26)

Yeah, absolutely. And I think, Kim, you're building the future right now, and we're grateful you took the time to share it with us and everyone listening. So yeah, once again, thanks so much, Kim.

Cam (1:15:37)

Thanks to you both. Thank you again.

Clay (1:15:39)

Cool. And so before we wrap up, we wanted to make you listening a special invitation for a 14 day trial of Acecall AI for $1 and all setup and configuration fees waived on once a single line. This way you can take a safe and risk free, but still bold leap into adopting AI in your club and seeing what results and benefits it can get for you, you know, starting on day one of deployment.

Get in touch with us and let us know that you're calling about the $1 trial you heard about on Cam's podcast episode and we'll be in touch to talk more. And while you have our AceCall.AI bot on the phone, ask it any other questions. A caller might ask your club and imagine you had the exact same voice receptionist doing that for your club 24 seven 365 call one eight six six eight three eight eight five eight one.

We'd love to chat with you more about it.

Brad (1:16:39)

Yeah, and make sure you subscribe to the podcast wherever you listen to your audios to get notified when the latest shows are published. We've got more episodes coming with forward thinking GMs, golf pros and innovators like Cam.

Clay (1:16:52)

Yep. Yeah. Definitely subscribe wherever you listen to this audio hit subscribe. then that way you'll get notified every time we do drop a new episode. We're trying to get at least one podcast up a week, if not two to three, wherever we can. That's it for today. Thanks for tuning in to The ACECall.AI podcast. Once again, where we help golf club managers win with AI. I'm Clayton Elliott.

Brad (1:17:15)

Brad Milligan.

Clay (1:17:16)

and we'll see you next time.