Will AI Replace Human Writers? | Brent Peterson

It's different every single time. Like, it's not a consistent behavior. Like, an algorithm is something that is happening in a consistent way, one thing over the next. Like, an algorithm will be, will, will be very consistent, where an LLM one day is one way and the next day is another way. Like, it's compl— like, some days your LLMs are completely stupid and you're like, what is going on here? Why are, why are we doing this?

Welcome to another episode of The Profitable Creative, the only place on the interwebs where you will learn how to turn your passion into profit. I am your host Christian Brim. Special shout out to our one listener in Sebastian, Florida. I'm curious if there was a guy named Sebastian and he said, I'm naming this town after me, but thank you for listening. Joining me today, Brent Peterson of Content Cucumber. Brent, welcome to the show.

Okay, thank you. Thanks for having me here. I'm excited, and I'm really excited to learn more about Sebastian, Florida.

Uh, yes, I'm curious, but it is Florida, so all bets are off. You never know what you're gonna get.

Exactly. You don't know. No.

Uh, and you're, you're calling us, uh, from, uh, Maui?

We're in Kona. We're in, we're on the Big Island of Hawaii.

I'm so jealous. I've only been to the Hawaii once and I can't get my wife to go back. I don't know why. Um, anyway, so tell us about Content Cucumber. Uh, that's a new one for me. Um, what's the origin story on that?

Sure.

Yeah.

So Content Cucumber is, is a writing service and it does something super innovative. Like we're on the cutting edge of what people do for writing. We have human beings that write content for other human beings. And Content Cucumber has been around since 2018. I bought the company in April of 2025, and my goal is to, is to find more efficiencies in writing, add more services for writers. I mean, I think the, the reality is that since, since ChatGPT came out, writers have been decimated. There, it was just like a culling, right? It's just like a plague that has, that has grown across the globe in terms of what that means for content and where that content comes from, and writers are on the front line of that. So, um, the— my goal is to find places for writers that, that can still write, and finding inefficiencies and changing things. And yeah, I'm, I'm a, I'm a little bit of a disruptor, but also, um, I believe in the human being, and I believe in, in how that content is created, and that we need to have humans always in the loop for creating content.

Yes, it's interesting because my, my very last episode was a, uh, out, uh, bolt from the blue copywriting, Rachel Allen. And she, she's been a content writer for 18 years. And, uh, that conversation, I'm curious how this one goes and see the, the comparisons because, you know, the, the technology has absolutely disrupted things, but I don't think it worked out the way a lot of people thought it would, maybe. So I'm curious your perspective. But before purchasing Content Cucumber in '25, what was your business?

So originally I was in the e-commerce space and I did solution integrations for a platform called Magento. And our company name was Wajento. So, we just took the M and flipped it upside down and we were early adopters. And so, the leadership at Magento allowed us to keep that domain all through those years. And we sold that in 2021. I exited that company in 2023 and started a company called Content Basis, which still exists, which was AI forward. Sort of, you know, think about when you're sipping whiskey, it's malt forward or Peep forward, um, uh, this is AI. It was AI forward with a human that's involved in the editing process. And, and actually, you know, I launched it right around the ChatGPT, maybe right before ChatGPT came out. Um, and people were very excited. I was, you know, I was dabbling in some of these tools like Jasper and some of the other automated writing tools, but what I've discovered in the last 3 years is a A, human beings are recognizing AI content, and as AI content is proliferating across the internet, human beings are recognizing when something's written by AI, because there's just, just some tells that people see in there. And then B, that people wanted— at the time, people wanted that content in 30 seconds. They didn't want to have anybody edit it, and they didn't want to take the time to read it themselves. So we initially had a ton of new clients, and then as they realize that AI isn't the magic box, that you're still going to have to actually— you should be reading your content before publishing it, and you should be editing it, and you should be taking some of those things out that are needed. That takes time. It doesn't take— maybe it doesn't take as much time as to write a full, you know, 1,000-word post, but it still takes time to read through it. So in 2020, 5. I'd known the people at Content Cucumber since they launched. They were a bunch of college kids that, that started a business, and we were one of their first clients at Wagento, and that we'd been talking ever since. And it just seemed like a great put-together, get-together, that we would collaborate. And, and one of the founders, Isaac, is still my business partner now, and we're full force into content creation with human beings and then having AI help us.

Okay, so clarify something for me. Did you purchase Content Basis as well?

I started Content Basis from scratch.

Okay, okay. But right before LLM showed up, what was that like? Was that even on your radar, that possibility, before you started that business?

So I am in Entrepreneurs Organization, which is, you know, eonetwork.org. It's a, you know, it's a peer network. It's not a sales network. And so I ran this by all my forum mates and all my friends in EO, and they were like, don't use, you know, don't mention AI. Don't even use AI. This is pre-ChatGPT. Don't talk about it. Tell them that you have some help from— and AI wasn't even a buzzword in March of 2023. Once AI came out and once ChatGPT really started taking root in everybody's, everybody's existence, probably in 2024, they were like, now lean into it. Like, now heavily go into this and start telling people that, hey, that we're, we're saving you money by using AI for this content. And so I think maybe I hope I answered your question in sort of a roundabout way. But, you know, it was, it was a journey, right? It was a journey through that. It was a journey through ChatGPT. And it even took me some time to really recognize that a lot of these platforms that at the time, maybe they were using something like ChatGPT to generate their content, that ChatGPT is just a global thing that happened and that now it really is helping everybody in different aspects. And I do believe that there's better things to do with your LLM than in just creating content. You know, data analysis, summary, things like that are a fantastic— Research. Use of that research. Yeah. And citations, like all that fun stuff that has taken people so long is a great— that's what the tool is meant for.

Yes. So I guess my question was, was there ever an oh shit moment there in the fall of '23 when GPT launched? Like, oh, wasn't planning on this.

Uh, no, I think it was the opposite. Like, this is just going to help. This is going to supercharge what we're already doing. And then how can we harness this? You know, I think then I explored private GPTs and, and how do you train it? And that's where it really got me down the path. I started another tool in 2024 called what's called requestdesk.ai, where you, where you take, you take your brand You store your brand as a, as a document, and, and I went one step further and I created a site where I could store my brand in a database and then make that brand updatable and, and reliable to go back and check against it. So I think that's really where any human writer or any, any, um, robot writer, you want to make sure your, your content is matching your brand. So that's what I really kind of dived into. And I think that's where I found a lot of value from. I, I'm a big Claude user now, so that's where I saw a lot of value in the, in using the LLMs.

So from a layman's perspective, um, can you explain to me why you want to do a, a private use case of, uh, the code versus using OpenAI's version of GPT or Anthropic's version of Claude?

Well, I mean, I guess, you know, it is a public— your LLM is public, right? But you can train it. You can train it with certain documents. And so what I do is I inject— you call, you make your prompt, then I inject some information before you put in your prompt. It has context when you start it, right? So you go and you start doing something, it then inject something before your prompt so it knows something about what you're doing, and then your prompt happens, and then it comes back and gives you that result. And I've even gone one step further where when that result happens, then I go back and do a check. I actually have a public database of overused AI terms, and it'll check against that. So it will, you know, it'll say it'll take out Delve or something like that and then give you that result. So that's, that's kind of where, where it is. You know, ChatGPT has a way of actually putting all that into a training document and call it— it's called a private GPT or a trained GPT. So same type of, of idea where I'll encode all that and make a GPT and then I can use that to chat with.

Okay, so maybe let me clarify my question. So my understanding which is very limited, is that yes, you can train. So like you sign up for a paid version of GPT or Claude and you can train it and give it source documents and et cetera, et cetera. But there's some underlying behavior that exists globally. Does taking that LLM source code down to your server and starting from scratch give you different results? And is that what you did?

I have done that. I will just say the cost to run something as big as 405 billion, there's probably even more out there now that are publicly available. Like Llama's a great example of what you can download and run on your own. And I discovered that my Mac M1 was not good enough to run anything more than, you know, 7 billion data points. Those are great, but really, and it is more expensive to run that privately than it is to just use a public API endpoint. Even like Hugging Face has public— has some of those models that you're able to use. And then I guess the quality you get from the newest model that are public is much better than you'd get from a private model. And I would love to hear from people that have had a different experience. I'm sure that you can get good results from— and let me just— I'll just say I'm talking about writing specifically. Yeah, I'm also big into coding. So coding is another one. I'm a big Claude Code user. So, you know, I think coding is the one where you lean into one. There's Gemini, there's Codex from ChatGPT, and then there's Claude Code. But there's also Code Llama. Depending how you want to use it, those are— there's different ways of using it. So having a private model on your machine is a great way to use it without having to go public. And you can also, at enterprise scale, get private models from any of the providers.

Hey listeners, are you ready to turn your passion into profit? Then grab a copy of Profit First for Creatives. Click the link in the show notes to purchase a copy. And if you're not ready to make that full commitment, you can download a free copy of the first chapter. Check it out right now. Um, I guess what I— the, the, the thing that I'm trying to understand and potentially solve for is there's, there's For instance, it appears that all of the publicly available LLMs really want to make you happy. Like, they want to give you an answer that you want, right? And I never thought about this until someone explained it to me. Well, it's exactly like Facebook or Google or Instagram or any of those other things, it's, it's wanting to give you something that you like so you keep using it. Is there a way to undo that behavior so it's not giving you what you want to hear, if that is even possible?

But like, it's all—

you understand what I'm saying?

Yeah, yeah. I, I think it's all in how you ask it. Definitely there's a way to get there, but it's always going to try to get— let me back up. I don't think it's necessarily giving you what— it does give you what it thinks you want. So in your prompt, you need to make sure that you're asking it in the right way. But it also will come back with all kinds of crazy things that you don't need. And so, and then it's different every single time. Like it's not a consistent behavior. Like an algorithm is something that is happening in a consistent way, one thing over the next. Like an algorithm will be, will be very consistent where an LLM one day is one way and the next day is another way. Like it's like some days your LLMs are completely stupid and you're like, what is going on here? Why are we doing this? And the next day it could be the smartest thing in the world. A great example is, you know, we do an injection into Shopify, we inject a product in a blog post. And if, unless, if you rely on the code to be dynamically generated and injected, it'll do it right 80% of the time and it'll do it wrong 20% of the time. Or as, as I would like to say, it'll do it right 90% of the time, it'll do it wrong 20% of the time. Um, so there's a lot of things you need to do to just scaffold that and make sure that you have rules in place and then have a template that it draws from in some of those instances to be exactly the way you want it to be.

Yeah, and I guess this circles back to what you said at the outset, is that people have to be in the loop. And I think that that is consistent with what people that have— pre-LLMs, talking about AI in general, that that's what virtually everybody I read was projecting was that it wasn't going to replace humans, it was going to augment humans. And I think a great analogy is to take some type of machinery, right? You still have to have someone run the backhoe. It doesn't run itself, although maybe it will in the future. I don't know. But even if it does, you still Uh, you know, I guess it, it comes to the question of at what point are people going to trust the outputs without having a human involved. So another great example is, um, there's technology to automatically take off, fly, and land a plane. Um, that— but who's going to get into a plane without a pilot? Right, or an automated car. And, and it— is there a point where you see where the humans actually cause more problems than, like, when they start overriding the machine, saying, no, do it this way, and, and the machine's right?

Yeah, I mean, that's certainly going to happen. Um, uh, well, number one, emotion doesn't help at all in that case. And I have, I have I have a newsletter called Tuesdays with Claude, and I talk a lot about my emotions when I'm working with LLMs. So take emotions out of the picture. But, you know, the human part of it is interesting. There is a podcast from Malcolm Gladwell about the Waymo and how humans could ruin the self-driving experience because suddenly humans are afraid of cars. Because humans are driving and they're not always good at, you know, recognizing a human in the road. Self-driving cars are watching out for humans all the time. And you can walk in the middle of a road and the car will stop. Right. Like that. So you're, you're right in, in that sense. I think the bigger question that you're asking is when it's right and where— when it's right and we're saying we're right. We're still going to win. What I typically do is explain to me why this is happening or explain the concept or explain why you're doing that. I'll ask the LLM to go into depth in explaining why it's doing this decision.

Yeah, and I find my use of LLMs has been frustrating from an accounting standpoint mainly because what you said, the results aren't always predictable. And like writing, that's a different thing. Coding and accounting, though, that doesn't work when I get answers only 80% of the time. Like, that doesn't fly with me. So what I find is, is a better use is a review, or editing, like in, in your case. So like, I, I find that my, my most productive use of LLMs in writing is I, I've trained it on my samples and, and my work and given it parameters, and it's like a glorified, uh, editor, or like the one in Microsoft Word, but you know, it's not just checking spelling and grammar, It's also checking, you know, consistency of thought, writing style, those types of things. Is that how you use LLMs as well?

Oh, absolutely. And, you know, I think adding a style, like what I'll do is I'll write something and then I have a prompt that says, now apply brand Brent to it. And I have a huge document that is my own writing style. I also have a terms, like I mentioned earlier, I'll say terms, and then I might even go one step further and said, give me the count of adverbs in this document, and it'll give me adverbs. And then, and it knows already because I hate— I, I'm, I don't— I— LLMs definitely overuse adverbs. So I'm, I'm like, okay, I don't want to use a ton of adverbs. Um, so I'll— it'll give me the count, and it'll also give me where it feels the adverb is good or bad, give me a whole grid, and it gives me a decision tree to go ahead and Should I remove this or not?

Yeah, I, I love that. So your, your background is not copywriting or, or content creation, right? I mean, but it sounds like more— you have more of an engineering mind, uh, coming from the coding, um, background. How, how, how has that affected your approach versus, say, like someone that has been a professional writer, and, and how they might approach using it.

Yeah, I think I try to make a process out of it and make it duplicatable. And I would go back to, you know, 10 years ago where you would spend a day writing a program to decipher a bunch of data and put it into a CSV file when you could actually take a day to just do it by hand, right? You can copy and paste it into something. I'm right, I'm way more interested in automating the process than I am in, in hand doing it. So, you know, I'm interested in, in how can we get to a point where it's written by me, but like you said, edited by, you know, you have an editor. And, and honestly, every book has an editor. Every book writer has an editor. Every writer has an editor. And those— and a lot of times, you— the writer will give a lot of credit to the editor to make their writing the way they would like to see it. And I see your trained LLM as a great editor that will work alongside you. You still have the choice of putting out whatever it is that you put out, but that editing role is super important and it's a great role for what LLMs can do.

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So let's shift to the business model side of it. We spent some time on the technical side of it. What does the business model look like for Content Cucumber and/or how that— how might that change based on what you're seeing?

Yeah, the original business model is just writing content. So, you know, primarily blog posts and articles. That was it. Some social media. Um, and I, I see that content has to be broader than that. And then also strategy. So, um, and I, it's— it conveniently, I spent the weekend going through past customer reviews on Content Cucumber. And Content Cucumber has a lot of great customer reviews, but one thing I noticed one time after time is that, is that they wrote content that would be SEO-friendly, but they never really gave strategy for SEO content. So, you know, my goal is to get in front of it, like I want to be in front of what the client has, and that was also my goal with, uh, with Content Basis is to be in front of it, to be sort of predictive in what they would like. So for example, I will look at I'll look at keywords or something, or a product that the client is trying to sell. Where does that product show up on Google? The best opportunities are when they show up on page 100. You want to get that, you want to sell that product. How can we get that product from page 100 to page 8 on Google? How can we get it to page 1? And the only way you're going to do that is through content. You can't just let it sit there. The other thing that, you know, just analyzing product or analyzing content on somebody else's website, if you look at a Shopify site, the typical client has less than 100 words on a product page, and that's just not going to work anymore. Like, that would never— it never worked, but it's going to be even worse in today's, uh, in, in today's world of SEO and AEO.

So you're, you're essentially talking about strategy of, of the content matching what is out there that the algorithms are, are preferring. Yeah, is that a correct statement?

I mean, I think there's two ways to look at it. A, the one way is I think that it has to resonate with people, and, and, and I think Google gives us a great way of doing that. It's how long you spend on a page reading, and that's not just sitting on your recipe because you have it in front of you and then watching all those stupid ads pop up. It is a relevant page that somebody spent 3 or 4 minutes on reading through And that, that's a great indication of how well your content is doing. The other part is, is being discovered. And so the only way that that content gets discovered is to be properly encoded for AEO, JSON-LD files, having Q&A at the end, or having some kind of structured data within or at the end of your, end of your, your article. And then having it properly SEO fitted. And SEO is one of those moving targets that is always changing. It's not keyword stuffing anymore. It's all kinds of other things coming back to just relevance and how long people are spending reading your document.

So the business model that you have is, uh, like a subscription model, or is it—

yeah, it's a subscription content.

Okay.

Yeah, so, uh, we have a Flywheel plan, which is our newest one, that gives you newsletter writing, blog post writing, social media, and, and strategy along with— it's just, it's called a Flywheel because we take some basic content We have an interview that we do once a month to kind of figure out what you'd like to have and then get your voice in that interview as well, and then write that content and then repeat that over and over again. Uh, and then we employ Google Search Console to help us understand, are there words or are— is there content that you would like to resonate more? So, you know, I think having that interaction with the client is, is, is a, the most important thing you can do to learn exactly what what, what Christian would want in his content compared to what we think you want is, you know, this big huge— is a big huge, um, red flag. If we think you want something, we're going to suggest something. And I do think that people, human beings, are much better at suggesting things that you may need than an LLM. And LLM is going to give you a whole bunch of ideas, but you know, you're still gonna have to pick the best one. And I think in my experience especially, it has been that humans are still having better ideas that are different than when LLMs— and I'll just say, you know, I've been attending a ton of conferences in the e-commerce space over the last 2 years. More and more vendors are discovering that people are recognizing the content that's generated from LLMs. And I think we as humans are seeing that content and then we're saying, oh, that person didn't actually write that. That sounds just like XYZ Corp and ABC Corp. Isn't it funny how their writing style is exactly the same? If you do— like, a human is going to have their own style and it's going to be different. Everybody's going to have a different style. So I think that's where the uniqueness comes in from having a human in the loop and in this whole process.

Yeah, because I think there's a kind of a backlash, not just to LLMs but technology in general. Here's an idea. This is a complete squirrel thing. Uh, someone needs to bring back pinball machines. Uh, I, I really think there's, there's a retro market for that. Um, back to my, my statement, the, the, uh, there's this trust gap slop, right? And the authenticity, the connection, you're saying the same thing, right? Like that if it's just AI slop, quote unquote, people are not going to trust it. Is that an accurate statement?

Yeah. Or why would you want to read it? I think another good one is art. I really got into creating art with AI and it is a It is a skill. But once people learn that you've created this with, with, you know, Midjourney or something, they're like, I don't really care about this art. It wasn't— there wasn't anything that put into it, even though, hey, creatively, you have to know how to prompt it to get what you want out of it. And that's— that is a skill in itself. Right. But that skill is not recognized. Same, you know, it's very, very relatable to Photoshop when, when Photoshop came along and they thought all the different other jobs are going to get thrown out the window. Well, they did get thrown out the window, and then suddenly Photoshop is the way everybody did graphic design, or Adobe Illustrator. That— I think that we're seeing that happen in the design portion of AI. We're going to see the same kind of arc go through with video. Um, and, and again, all this is getting better every single time, but we are going to all recognize when you know, this video is being created, uh, by AI, and then it doesn't have as much impact as, as you and I talking, or, or, you know, a video of, of out there walking in the real world with, you know, that's not, hey, GenAI, or something like that.

Yeah, I, I, yes, it's kind of like, I, I, I, I think it's akin to— if you just want an answer and you want a quick answer, like I need to know where the cheapest price of X is, that makes sense. But if you're wanting something that has a deeper emotional resonance, something that you're trying to solve that's more important to you, whatever that is, the human connection, whether that's AI-assisted or not,, has to be there. And, and I kind of, I, I kind of equate it to Marvel. Marvel, I'm gonna bag on Marvel or, or Disney, uh, either way. It's, it's like so much of their stuff, uh, becomes programmatic. It, it's like you've seen one Marvel movie, you've seen them all on some level, right? Like, I mean, I'm not saying that they're all the exact same. But it's like that serves a certain segment of the market. And like, if you want a certain show and you, you know, dial up Jason— what's his name?

Jason Straham?

What's the actor's name? Anyway, you know, you want that type of show, you dial it up, you get it, but it's not going to connect with you the way Schindler's List does, right? Or something by Quentin Tarantino, right? And I guess to me, I just kind of see it moving to that 80/20 where, you know, the 80%, that's going to be sufficient for them. But the 20% of the population that wants something more, it can't do it.

Yeah, I mean, I think that you've kind of hit the nail on the head, and that's probably going to be our next AI term that I'm going to have to to not use anymore, but having the ability to know that something is authentic, having your content be authentic is what people are going to look for. And I think the inauthentic content— and a great example is have your AI generate a whole blog or a podcast and then have— actually, Notebook LLM is a great tool for generating a podcast. They need more voices, but it does a great job of back and forth conversation. But once you know that this content was created by AI and then the content was read by AI, it's suddenly not as exciting. Like, you know, what, what new thing am I going to get out of this that I can't get by just doing it myself and, and, and discovering that myself on, on an LLM? I think what people are learning, like even with our discussion here, is that there's that there's things that are happening outside of what the LLMs are telling us that the LLM doesn't know yet, and it may never know, or it's buried so deep in its own psyche that it's not going to come out unless you ask it the right way. And humans are in that, in a, in a sense, are— we're, we're spontaneous, and where we say something that's kind of crazy, but, uh, that we're able to come up with new ideas that are completely not AI, whatever. I know you can't explain.

No, I, I think that, I think that's the thing that everybody has to understand about any, uh, AI tool is that it is, it is reductive, it is convergent, it is not divergent. Inception, original thought, uh, has to come from the human. It, it doesn't give you something novel. It gives you, this is what everybody else has done, which is fine for its use, right? Even if that same— even if that person is just you, like, well, this is how you've done it the last 20 times you've written it. Um, it, it can't, it can't come up with a new idea for you. Um, okay, so last question on that. Uh, well, you didn't answer the question about the pinball. Pinball machine. What do you think of that?

I love pinball machines. And you had mentioned why Minneapolis, and well, St. Paul is next to Minneapolis. St. Paul is a suburb of Minneapolis, and they have a thing called Can Can Wonderland, and there's pinball machines. There's video arcade machines that are back from the 1940s. It's such a fun place. Oh, wow. They must have, I don't know, I bet they have almost 100 pinball machines all free. Like you just pay a one fee, go in, and you can drink beer off the tap. And they have one of those little card readers so you can drink as much beer as you want and then play pinball all day long or Pong or whatever video game you want. It's a huge— and mini golf. I love pinball machines. I 100% agree pinball machines need to come back.

Well, I've been to several retro arcades, but they're more like '80s games. They're not— or maybe some '90s games, but they're not certainly not back to the '40s and really not back to the '60s and '70s with pinball. Because there's some analog experience that's just unique, right? Okay, so my last question to you is, you mentioned podcasts. Podcasts, as I've been doing this for a couple of years, is a unique format. Obviously, AI has been involved in helping production, editing, you know, promotion, clips, summaries, blah, blah, blah. How does that make its crossover to content that like Content Cucumber does? Like, what do you, what do you see the interplay there?

Can you reframe the question again?

I guess, yeah, it wasn't very, it wasn't very well-worded. I see. And I'm not talking about transcripts of a podcast. Okay. The way people consume content via podcasts is unique from the, separate from YouTube, even though like, you know, Apple is trying to get video into podcasting. Like the act of listening to a podcast, like people used to listen to radio, is, is a unique channel. How do you see that interplay with the content that you produce?

All right. So the question is, how, how do I see all the post-production tools or how do I, how would I use those tools for AI or with AI in my content?

No, how does podcasting interplay with the content that you produce? So for instance, if I'm one of your customers, uh, and, and, and I'm coming to you, uh, for strategy, how, how does— how do you see podcasting interplaying with other formats of content?

Got it. All right, yeah, I mean, I think podcast is a great way to get what's in your head if you're not a great writer, it's a great way to get it out there, right? So it's— you can just talk about it. And this is the conversation— having a conversation about it is a great way to get more information out of something you didn't know that you could find. So I think that it's a, it's a good collaborative way. Like, if you're sharing a Google Doc would be the other example that you're doing in person, and it's a good way to consume new knowledge. So You know, I think listening to something that you're interested in and week over week, then going through and listening or learning about a subject that you'd like to learn more about is a great way of consuming information. And I'm a runner, so like having a podcast that I can listen to on a long run, so gives me a, you know, another headscape to maybe get get out of my head that I don't want to— I want to stop or something. It's a great way of getting those things in place.

Well, okay. But how does a business marry those two together? So if we're talking about written content, because like a transcript of a podcast is not— I mean, like, I've never read a podcast transcript. Like, that sounds awful. How do you marry those two as a business? Business.

Those two strategies, um, I think that you want to use your podcast to promote your product through— or let's, let's back up a little bit. I think the podcast is a great place to promote thought leadership and what you're trying to do as a business. So then you would want to get guests that are helping you to understand thought leadership and a concept you're trying to explain. That you find an expert who can explain that concept in a way that maybe you couldn't do it or articulate it that ties back to whatever business you're doing. I think that's a great way of using a podcast for that and helping to have your listeners understand what you're doing to, to that connects with your business. I just got that concept and I've been doing a podcast for 5 years. Originally, I started my podcast just to have some kind of a creative way of being of a creative way of being creative outside of being in business. And I went from being the boss to having a boss. It was really difficult for me mentally. But what I discovered is that by doing that, I had great conversations with all kinds of experts and I learned so much. And I've been doing a weekly podcast since 2021. And I can say that if I didn't do that, I wouldn't have been a as good of a leader. Can I say as good of? I couldn't have been as good of a leader as, as I thought I was. And I would not have learned as much as I would have had in the industry if I wouldn't have done all those interviews.

Yeah, I think, you know, there's the obvious difference about how we, how we process information, listening versus reading. But, but I also think the length of the format that shifts your focus. It's not like, you know, I know how I consume content online and you said spending 4 or 5 minutes, that's a long-ass time for somebody to read something on the internet. Usually it's not even close to that, right? But if you commit to 30 or 45 minutes or an hour of listening to a podcast, your brain goes to a different space. It's not just processing it differently, but like you're you've, you've given it space to think about it rather than just, you know, ingesting information.

That's— yeah, I mean, that's a great way. That's a great way to look at it, that you can get— yeah, it's just, it's a different— it's just like video, right? And all those different people learn different ways. People consume their information in different ways. And this is a great space for us to have another vehicle to help people understand that what you're trying to convey from a business standpoint.

Brent, thank you very much for your time. How do people find out more about Content Cucumber if they want to learn more?

Yeah, if you go to contentcucumber.com, you can, you know, I'm doing updates almost every single day. The website is dynamic and always changing, and I'm a crazy person who dives into all kinds of fun technology to help me keep my content up and valid. Or you can find me Brent W. Peterson on LinkedIn. I have— that's a great place to collaborate with me and DM me or look at my, you know, I have a newsletter that's called the Agenta Commerce Guy that I would love you— love to have you subscribe to.

Perfect. Listeners will have those links in the show notes. If you like what you've heard, please rate the podcast, share the podcast, subscribe to the podcast. If you don't like what you've heard, hit the little mailbox and send us a text message. Envelope, not a mailbox, and then we'll listen diligently and then we'll replace Brent. Until next time, ta-ta for now.

Thanks a lot.