Ep 3 - AI vs Authenticity: The Battle for Quality Online Content

Speaker A [00:00:00]:

All right, IRA, welcome back to another episode. How are you, man?

Speaker B [00:00:03]:

I'm doing well, man. How are you?

Speaker A [00:00:04]:

Doing well, we got a lot to cover this week, man. I feel like this tech space is just moving at three years at the pace of like, two weeks, man.

Speaker B [00:00:12]:

They call it tech speed.

Speaker A [00:00:15]:

We got to slow it down. So I have a couple of things I want to talk about today I think people might find interesting because this is pretty relevant. And again, each of these weeks, man, we're trying to keep up with some of this stuff. I know we have some cool top topics that we want to dive into in future episodes, but yeah, the pace of this, man, is hard to keep up with things. And I want to get your opinion on a lot of this stuff. Have you heard about this new I don't know if it's a plugin, but it's with Chat GPT, the code interpreter.

Speaker B [00:00:39]:

Yeah, I saw you had sent me an article on it and I was checking it out, so just a little bit, but it's crazy stuff. Crazy stuff.

Speaker A [00:00:47]:

Yeah. So for those who aren't familiar and again, I just skimmed the article, so I'm no expert in this, and I would love to hear your interpretation of it, but essentially you'll be able now to take any kind of data, set, upload it, and then it's ultimately just going to spit out all kinds of interpretations. So for the example that they use, is somebody pulled, I believe it was a data set of all the lighthouses in the US. And they uploaded this file and in a matter of seconds, they were able to put this into charts and see where lighthouses are lighting up and get like, animations and gifs and things of that nature. So, yeah, I probably did a poor job explaining that. What's your interpretation?

Speaker B [00:01:27]:

Yeah, I mean, the thing is, with any data set, making use of the data is the key. Of course, we've talked about this in some of the past episodes, but I live a lot in the manufacturing space and dealing with different companies. And depending on where you are in there, I know there's lots of companies that have just a ton of data, and one of the biggest questions they have is I have too much data. What am I supposed to do with it? So having a tool like this to maybe try to figure out different charts and patterns and things is great. Now, with that considered, it could be jumping to conclusions, maybe, and potentially providing some trends of things that maybe don't really exist, but I guess that's true with any kind of evaluation. So I think the tool is really powerful. But how valid is information? I mean, the lighthouse example is cool, but really applying it to more general operations, I don't know. It would be interesting to see how it evolves over time.

Speaker A [00:02:28]:

Yeah, I think you have some good points there. I think the validity of it more so, I think, about things like what problems can this solve? I mean, especially in the manufacturing space, there's a ton of things, if you get the right output that you're looking for. And I think the first person I thought of was Jameson Rotts, who we had on. We'll have him back again soon. Because this is a lot of what he's doing with machine learning and the algorithms and working with companies and taking their large data sets and so forth. And so I think what he's doing is a lot more integrated in in depth. But for the general population, I think this is a good first step. Now, the thing I'm noticing with all of these tools that they're rolling out so fast, is that they are still very tech intensive, meaning you still have to understand how to use them, how to put in the custom prompts to get the output that you want, and things of that nature. What I'm actually fascinated with, though, is actually thinking at scale. I don't know what this looks like, if it's twelve months, 24 months, three years out, et cetera. But I think what's fascinating is some of the use cases of taking all of this data and having machine learning and algorithms and OpenAI use all the data to pull in to come to conclusions that could actually be beneficial to society in a good way. And I'll give you an example, is think of all the missing persons cases that are out there, right? Think of all that data if we can roll this up, these machines now, and this AI can tie those connections together, probably getting Internet access with Chat, GBT Four and so forth, and probably draw some conclusions of at least to say, hey, check out this, or here's some commonalities or correlations and so forth. That to me, is what I get excited about. This. I know you probably get excited on the manufacturing floor. I get excited just about the possibilities. I think it's going to shake up for a lot of you got families, this is going to help. But even more so, a lot of these organizations that might not have the funding traditionally to access some of these resources that could actually help them.

Speaker B [00:04:24]:

Yeah, initially, when you say that, the thing that comes to my mind is Black Mirror on Netflix and are we going a little too far?

Speaker A [00:04:33]:

I don't know.

Speaker B [00:04:34]:

Is this going to be great in the beginning and then end very cold and everything else? But you bring up a really good point and I've had a lot I appreciate that. What's that?

Speaker A [00:04:43]:

I appreciate that. I don't hear that.

Speaker B [00:04:45]:

Sorry. It was a pretty good point. Take it down to pay.

Speaker A [00:04:48]:

Okay.

Speaker B [00:04:48]:

No, it was a really good point, because when I think of whether it's a manufacturing space or I've actually been looking a lot of like the contracting space, and I've been looking at even some insurance and financial advising kind of industries and things, and there's a lot of these industries that are smaller operations, and a lot of business is smaller operations. Not everybody's frito Lay or GM or Ford, right? There's a lot of small stuff. And how do these smaller companies take advantage of these digital systems if they don't have the funding to actually go do these things? So if there's the ability to use some of these tools to generically add data to them and provide some real output, kind of like we were saying with these data sets, that could be really powerful, particularly in some areas where I would say tech has been a laggard, particularly in the contracting industries and things. I know personally, I've tried to hire a fencing contractor, I've tried to hire a concrete contractor and things and getting them to show up and letting me know when they're on their way and even paying them after the fact is sometimes a challenge. And I get it, they're busy and they're doing their craft and that's where they want to focus. But there's got to be some ways to help them from a business system standpoint. Maybe some of these data points here can help pull things together not only to give them more information, but to make their business operations better. I think there's something there.

Speaker A [00:06:17]:

Yeah, I think it's unfortunate but I think that's the subset of businesses that I think could have the easiest and biggest impact on because those local services, we'll just talk about that as a market. I'm in that space and I've had a massive advantage because I've been able to leverage tech and these things and I see the low hanging fruit now. I actually think that unfortunately it will be one of the last industries to adapt and that is just a byproduct of that personality type of business owners, they're just not focused on this. They have a craft and they might hear some buzzwords and so forth, but they're content with grinding and how they have and that's all they know. And that's very similar to my dad grew up, worked at the same company, his whole career was on the printing press, tried to tell him new things and that was his Mo. He loved just what he did and there's nothing wrong with that. And so it is interesting how the tech does favor. Those are the easiest ones to solve because it's not like manufacturing where there are all these other second order consequences that you have to factor in. This is just how do we optimize and streamline your business. But again, unless they have a third party there helping them, which most of them won't and just don't, it's going to be hard for them. And I think that there'll be the late adapters. And I have another thing I want to talk about here. Then it's a good segue. So I saw this weekend so my mom's a real estate broker, so I keep her up to date on all these things as best as I can. And I saw that Zillow is rolling out and they're actually running paid ads promoting I don't know what they're calling it, zillow GPT maybe. But it's essentially I haven't looked into the back end of it, but I'm assuming it's just a plugin that they've used now. But they have this set up and they're promoting it where you can have a conversation and we chat GPT and it's going to essentially you can say, hey, I'm looking for a single family home in this area. I want this school district, and it spits out all of this. And at first glance when I talked to my mom about this, I was like, well, it's just good for you to know that this is here. I don't think it does anything that the filtering doesn't do currently. But then I started to think about it a lot more and I was like, this is going to disrupt the industry because people are going to they already search things, but the filters are kind of they're very binary. Do you want a fence, yes or no? Right? And I think this is going to open up the ability now where the value of a realtor is in listening, right? It's in listening, understanding needs, and then taking feedback and adjusting. And I think that's going to open up a whole world of possibilities here.

Speaker B [00:08:58]:

Now, I'm curious. I bought a house a couple of years ago and talking to my real estate agent. I believe there's laws that prohibit agents from talking about certain things, like they could tell you whether or not a house is in a particular school district, but maybe you could expand that question to which of these are a good school district. Well, that's not something they can necessarily talk about, at least as I understand it. And maybe that is something that a chat assistant could talk to you about. Or are there regulations that need to be placed on that for whatever reason, to say, well, hey, maybe that's bias one way or another and potentially prevent looking at home.

Speaker A [00:09:47]:

That's the overarching theme is how do you prevent the bias from coming in because you got the data, how is it interpreting it?

Speaker B [00:09:57]:

Because I think of that Bot perspective and you go, okay, I'm going to be moving to central Pennsylvania because I just got a job there. You don't know anything about the area. You're from Arizona and you're going to go, hey, I have two kids. I need a house that's going to be four bedrooms and I want it to be comfortable in a nice place and go to a good school. If those are your criteria. I think that's a hard thing for a lot of people to position because there's a lot of bias that goes into what I just said.

Speaker A [00:10:27]:

There is a lot.

Speaker B [00:10:27]:

Yeah, but realistically, that's what somebody wants to know, right? And they're going to ask their friends and family and people that are in the local area, they're going to get that information. Do they get it from a bot?

Speaker A [00:10:40]:

This is completely random, but do you think we're going to get to the point? Actually, we are going to get to the point. This might be by next week at this pace, but where you've got the internet as a whole, right? I think it'd be awesome if you had a chat GPT for your friends, right? So it goes out, you select the criteria of all your friends or it knows your social network. Then you're running these searches. You need a house or something in a neighborhood and then you can ask questions and it's going to go and pull data based on your circle of crowdsource. Scrap. Exactly. Yeah, I think that could be pretty interesting.

Speaker B [00:11:13]:

Well, so that means in this local area here, you're going to have like CD versus CV. And if you're not from this local area, it's two competing school districts right across a small river. It makes no sense, but in any ways they're both really good places. But you'll have strong bias one way or another.

Speaker A [00:11:27]:

Yeah, you will. And it's interesting. And the takeaway that I gave her was, hey, listen, mom, this is good to know. We're already rolling out a plan and we have a plan, so we're already leveraging some of these tools from a marketing perspective. But I told her, I said the number one thing that you can do, and I think this is what most businesses can do as well, is you got to get ahead of the curve. Meaning you already know the objections that are going to come, which is some people might say, well, why do I need a Realtor if I can just do this right? And in that case, the value of a broker and a Realtor is not in finding you homes. Right? It's not like sourcing in the recruiting world where you do have to have a skill to find candidates with specific skill sets and so forth. In the real estate market, it's all about having a pulse, what's coming on the market, knowing what's out there, maybe some statuses of things, things like that. But the real value does come in the relationship, making the transaction easy, stress free, seamless. And so that's what we're doubling down on is putting out tons of content around those things, using these tools to help us create that content and so forth. But I think this is really transitioning over to a key point here that we can chat about, which is we're seeing this in general now in LinkedIn is flooded with this in this AI content, right? And I think it's getting watered down and LinkedIn is not doing themselves any favors. Because I don't know if you saw, but LinkedIn is now rolling out their own AI pilot. Have you seen that?

Speaker B [00:12:56]:

No, I haven't. And I'm on LinkedIn all the time.

Speaker A [00:12:58]:

I have access to it. Some accounts do. It's basically AI that's prompting you on certain things to kind of help write content for you. So it's like asking for milestones and it's kind of prompting you. And I think they're already rolling out a feature to help you write your profile. So I don't know if you saw that one, but they have a new feature out now that's going to be I know I'm not seeing new feature outs beta. Some accounts have it, some don't. There's no rhyme or reason, I think, to why people get these things, but it's to help you write your LinkedIn profile, write your headline, things of that nature. And so when you've got a platform like LinkedIn, let's just talk about LinkedIn specifically. Here. What I'm seeing, curious to see if you're seeing the same thing, is that I would say, majority number one, there's more content being produced, but number two, a lot of the content is garbage. I'll just openly say it's garbage, it's AI created. And look, I'm not ever going to knock on someone for creating content. I don't care if it's good or if it's bad, it's all relative. The effort is all that matters to me. Where I draw the line is that Laziness and what I'm seeing is now there's people promoting, hey, you can start engaging more by leaving AI generated content or comments and so forth. And I think there's even a couple of tools that do it now. And so I think historically, LinkedIn has always had a major problem in the sense that they've never done a good job catering to creators and giving them the resources to create effectively. And so now what's happening is a third party did that chat GPT, right? And now LinkedIn is playing this, oh, we want to be in this space, and they haven't even curbed their own issues of like, it's all AI content, they're not penalizing it yet or things like that. Now they're only going to add fuel to the fire. I am incredibly curious to see where this goes.

Speaker B [00:14:46]:

Yeah, so I got a bunch of thoughts on this. So as someone who does create, particularly on LinkedIn, actually that's pretty much the only place I create that in this podcast here. I've always seen my creation on LinkedIn as more or less learning in public or just my thoughts, but it's typically been on very technical topics and these kind of things, but it's really been the crowdsource, other people's opinions on my thoughts and these things to help me, to help everybody else and to further the manufacturing space. And I actually just had this conversation with the group the other day and I have seen personally a lot more AI driven type things and it's making it more of a struggle to be on the platform. I do think it's making it easier to stand out on the platform, but.

Speaker A [00:15:34]:

It'S a great point we'll come back to.

Speaker B [00:15:36]:

Yeah, but it's honestly been a struggle recently. I've never had that problem. When you think about the creator landscape, particularly on LinkedIn, I've never been the creator on Twitter or these other tools like YouTube and whatnot. But you look at the back end of some of these things and they're awesome for creators. Like, you can plan out tweets, you can plan out videos, you can schedule stuff out. And I always looked at LinkedIn and I said, why don't we have something like that? Because I don't have to write it. I have to write it, save it somewhere else, and then copy and paste it in. If I'm going to archive or backlog any kind of content I want to put out there. There's no easy content management system. They have a little bit of stuff now, but I don't even know if it penalizes you for using that yet. They're going to go and enable all this AI stuff. I don't know. It seems like we jumped over a step just having the ability to kind of schedule some simple things, schedule some stuff out. It'll be immensely beneficial for a lot of creators that are creating good stuff.

Speaker A [00:16:43]:

Versus and I think it's actually going to deter the good creators because LinkedIn is kind of looking at as a play of, hey, let's just get more people out here and active, but they're not understanding the byproduct of you're putting out a bad quality experience for the users. And then that in turn, is going to be a turn off to people like you and myself and others who might put out content. And now I've seen the rumblings with some of the top creators that, hey, our views are down drastically and their quality of content that they were doing is good. However, their algorithms aren't smart enough to detect yet. Oh, this is AI versus this person actually has good original thoughts. So, yeah, I think you had great points there. It's going to be interesting to watch it play out where I will say that I'm putting all my all my I guess I'm doubling down. Putting all my eggs in one basket, though, is on the concept of originality.

Speaker B [00:17:35]:

And I secret sauce to Trevor. Here what's going on.

Speaker A [00:17:38]:

This is my game plan. You'll see it roll out, but it is an originality and creativity and having and finding your own voice. And I think a lot of people get caught up in saying, I have to talk about this niche, or I'm an expert in that, or, hey, LinkedIn polls are the flavor of the month, or carousels, and that's fine. You can ride the waves and trends all you want, but look at all those people that used to do the pointing videos. They just play a trending sound. They point to that, they're gone. They have no following. You don't even know who they were. They never spoke a word. They just put text on screen and pointed where I think the future is heading. And even if you look at the YouTube landscape again, a lot of content is AI driven now. So it's making creating content and the access and ability to do that so much easier. So where I actually think now that it's going to stand out and it's going to translate over to LinkedIn is more on the authenticity. And so there was a lot of rumblings that like, oh, daily Vlogging and the Vlog style is dead. It's not dead. What happened is the world shut down for a good two years, so people couldn't go out and get that content, so they were forced to create another element. Now that the world opened back up, that's going to be where the shift is trending back to, and I think it's going to carry over to LinkedIn, I think even subject matter experts, if you're in the manufacturing space, showing a day in the life going down on the floor, showing what you're working with, showing that. Man, I tried to build this demo and I completely failed. Here's what I'm doing. That kind of content AI just can't replicate, at least not yet, right? And so imagine on a newsfeed on LinkedIn, for example, when you have all this boring generated, like, no one needs tips anymore, no one needs the five tips, or here's the best ten, no one needs that. What they want is, and this is how I think individuals are going to grow their audiences and have a lasting impact, is getting back to that originality. You have to put a little effort into the content. And I think it makes it easier to create because people are more authentic with themselves. And that's the challenge. Whereas I find a lot of people I talk to and work with is that they're just scared to put themselves out there. So naturally, people just default to regurgitating and repurposing education or information. And while it's valuable, it's not really building your brand, your thoughts, how people get to know you. And some people aren't going to like you and your views and your opinions. And look, you got to grow tough skin, thick skin, whatever the saying is.

Speaker B [00:19:58]:

Yeah, as someone that's been a creator, even in something, I would say as well, the manufacturing space is a very niche space. It's not a huge space from overall landscape, but, man, there are definitely people that will call you on the carpet and I try to have conversations with those people after the fact, because you got to have thick skin, you got to take in. And frankly, one of the reasons I do a lot of this is not because I want followers or views or it's because I want to learn there's a reason that other people are saying different things, and my goal is to get those different points of view. I've been at the same company now for almost 18 years, and that's a long time and long time. There's a ton of positives to that. But honestly, there's some negatives to that too, to be blunt. And some of those negatives are I just don't have that necessarily that worldview. My view is from this company, right?

Speaker A [00:20:53]:

Yeah.

Speaker B [00:20:53]:

And I have my own opinions and thoughts and these kind of things. So this is a way that I have found to try to get those different points of view by trying to use, I would argue, more emotional intelligence, to try to bring in and see things from different perspectives and not just say that and read about it, but actually try to live it through podcasts and these video things and interacting on social media. That's really what I've tried to accomplish.

Speaker A [00:21:18]:

Through my and you do a great job of that. I think that's one of the biggest things is, like, you see the creators who are like, they know it all, and that's their point of view. And I'm guilty of that sometimes myself. And then you've got the different type that's like, hey, I'm learning. I don't understand everything. But it's a fine line because people do want the expert. They don't want someone who's just like, hey, I read this today. Yesterday it was this, right? I think we recorded an episode last week. And then again, with all this amazing technology, things tend to break. So this is another episode that gets scrapped.

Speaker B [00:21:49]:

But we should publish that one because I think at one point I just had a really weird look on my face and it was frozen.

Speaker A [00:21:55]:

I can see if I can dig that up. I'll see if I can dig it up and we'll push it out. Well, we talked about a new from LinkedIn. Speaking of LinkedIn, one of the founders, Reed Hoffman, is rolling out an app, call it I think it was Pi or Pi GPT or Pi AI or something. But the premise of it was on it was supposed to be around mental health. And I think it's a great concept. It's a little dangerous, though. But the whole premise was that you can talk to this I guess this bot will call it, and it's just supposed to be positive and like a mental health resource when you need it. And I think it's great because I think mental health in this country in general gets neglected and there's not enough emphasis on it. We, in that episode, talked about some of these risks and so forth, and I don't want to take this conversation down that path, at least not right now. But what I do think is important is that as people start to create content and leverage these things, they do have to grow thick skin. And I think the downside of social is that it's very toxic, and if you don't have that thick skin, it can eat people up. And for example, I go on Twitter and I'll leave a comment on something that I know to be true. Man, I just left one and I got ripped. People were like, you have an MBA and this is your logic? And their comment was like, you could tell these people they have the egg is their profile photo, but you just get ripped, and you have to be able to take that. You got to be able to take the if you put yourself out there, you're always going to have people. I think that's the success to creating, in my opinion, is it's not just taking the first step of getting the post out there. I think all the success or the successful creators have realized this is a learning experience. People are going to judge. People are going to leave comments. There's going to be trolls. You can't do anything about it. But that's where I think these apps, like this new Pie AI, it's needed because people get beat up online, even if they post a photo like their dog or something. You got people being like, you own a pit bull. We're just in society, and it's sad and it's a shame, but I think we're only going to see more of that now, and I think it's the sad reality.

Speaker B [00:24:13]:

Yeah, I mean, it's definitely a road we can go down. I agree with everything you just said, though. I do have a question for you, and maybe we can take this one to another podcast here, but even through this conversation, we talked about how many bots, right? How many bots are there out there now? Everybody's making a bot. Is it too much? There's a bot for seemingly everything anymore, and if there's not one now, there may be soon. Is it too much? Are we okay with talking to bots? I did one this morning, by the way. So we ordered something from Amazon and we did make a return, and it was some sort of problem. We couldn't return the product. So I had a conversation, and it was weird because it seemed like a person on the other end of the line, but it started off with saying, hey, I'm an Amazon bot. And it chatted to me even when it gave me multiple things like, hey, I'm sorry to see about your products having this issue and the end of that bubble. And then it was like, let's see if we can do something to fix this end of that bubble. Just like someone would type it or write it, and I was okay having a conversation with that bot. Trevor, I think you're okay having a conversation with that bot. But the general masses, are they okay having a conversation with a bot? Because I think even me, my head goes to the old telephone. Thing where you had to press one to get the customer service. I think it's completely different now, but I think that's a lot of people's mentality that, are we okay? Are we in bot culture now? Or where are we?

Speaker A [00:25:56]:

I think there's two spectrums to this, right? There's the companies that have bots that invest in the bots and they're amazing bots and they save time, money, amazon. Amazon. Because they invest not in the quality of the bot, they're investing in the experience on the other end. That's what they care about. And so in turn, they have to create an awesome bot before they roll it out. On the other spectrum. I've seen companies that have a little chat pop up and what they're doing is it's basically they're putting in the questions and it's basing off keyword. They'll show an answer. Personally, my take is that I've had some awesome experience with bots. I've had some terrible experiences with bots. Now, do I like chatting with them or is it too much? I look at it as a time constraint. If I can get in and get it solved quick, I would rather do that because I can multitask, I can chat with two or three bots at the same time, get it all taken care of. There's other times though, when I've been with a human and it takes way longer because they're like, well, let me look up your account. I don't enjoy those experiences, right? But to answer your question, do we have too many bots? I think it's going to phase itself out, to be honest. I think what we'll have is everyone's going to have a bot. The best ones will stand. And I think that's where the innovation will sharp happening from is those top tiers, and then everyone's going to realize either they can't support the cost of their bots or it's actually negatively impacting their company, right? And I think it's going to happen on the support side more than anything. Whereas they're going to try to save cost on customer technical support by leveraging AI. And then even though they say our data set is clean, we put all the information here, we tested it, they neglect spending and investing heavily in actually testing it from a third party to make sure that what does the end user think? Is it getting them? How long are they taking? Did they get their issue resolved? But maybe now there's actually a negative sentiment for them that they're like, I don't like this product, I want to talk to a human. So? Yeah. I don't know. I think it's certainly something to kind of watch out for over the next I would even say twelve months because I think it's going to innovate that fast.

Speaker B [00:28:06]:

It'd be funny if all of a sudden we have like a national non bot day and you're not allowed to lose any bots. We'll see what happens. Maybe the world stops spinning for a day.

Speaker A [00:28:14]:

I don't know. What I want is I just want a podcast recording app that works. That's all I want. It's not that's all I want.

Speaker B [00:28:23]:

Did this one break two times?

Speaker A [00:28:26]:

The first episode we ever shot.

Speaker B [00:28:28]:

I thought you meant this time.

Speaker A [00:28:29]:

No, this is good this time. And this is supposed to be the cream of the crop app. Yeah, but I mean, even then you're seeing these tools that I saw, an amazing tool now that somebody created with AI that goes through a podcast. And it'll actually if you use Adobe Premiere, it will actually import your multiple tracks. So, like your track and then my track, and then what it'll do is every time I'm speaking, it'll automatically split the screen or chop it there and then show yours and show mine. So it kind of takes that whole process because that's the longest part of editing. If you're doing the split screen again, though, I think people are just going to be over reliant on these and they're going to be like, oh, we've needed content. So what they should have been done two years ago, getting repurposing content, now they're going to look at this as, oh, it saves me so much time. But if everyone's doing it, it loses that mass appeal. Right. And the same thing with all these bots. If all these companies are using bots, naturally it's a selection process because the sites that aren't investing, but they think they got to be in the game, they're going to create that much of a worse experience for their brand that's going to hurt them rather than help them. And I think it's going to come back to kind of like the snail mail versus email. The companies that aren't using bots are going to stand out because there's going to be a massive advantage of saying you can talk to a human and.

Speaker B [00:29:53]:

Coming full circle all the way we were with talking about what we call them, like the local businesses and these kind of things. This could be a huge opportunity one way or another for a lot of these companies. I'm really curious, and I do wonder, with the poor implementation of bots, does it create a negative sentiment towards the whole topic until there's like a Google Type bot? I'm not saying it would be from Google, but someone that there was lots of search engines before Google. I use lots of them. And then Google came out and then it kind of like ran the show. Will that happen with bots? I don't know. Be kind of curious to find out.

Speaker A [00:30:29]:

It's a good point. I think going back to the local businesses, this is a tip. If any local business owners are listening, the number one thing local business owners can do is just answer the phone. That's it. It's not hard.

Speaker B [00:30:40]:

Pick up the phone.

Speaker A [00:30:41]:

The customer service aspect is so huge, it's incredible. And it's because they're on the job and so forth. But you got to invest in somebody to just answer the phone. That's where a lot of business is lost. I had to deal with it calling some technicians and plumbers recently, and they just don't answer the phone.

Speaker B [00:30:59]:

I got a great plumber, so we could talk after the podcast.

Speaker A [00:31:04]:

So otherwise this is a good episode. I think we covered a lot here, lots of simmer on. I think in one of these future episodes, I think it'd be awesome if we can talk about content and how to actually leverage some of these AI tools, because we do talk a lot about the Ramifications and some use cases.

Speaker B [00:31:17]:

But I think if we get in.

Speaker A [00:31:18]:

The nitty gritty and actually maybe let's talk next week about how individuals can actually leverage these tools to create better content, doesn't make them sound like a robot. So if you're down for that, I think that'd be a good conversation.

Speaker B [00:31:31]:

I'm down. Let's do it.

Speaker A [00:31:33]:

Awesome. All right, ma'am. Well, that's all for this week. So if you made it this far in the episode, thank you for listening, and we'll be back next week.

Speaker B [00:31:40]:

See ya.