The AI Voice Problem Nobody's Talking About in Podcasting.

Recent research by Edison suggested that the least popular application of AI in podcasting is voice. The audience don't mind AI show notes, they don't mind AI promotional or thumbnails, but what they really object to is voice. So why is my guest building a business based on AI voice podcasts? He's here to show and tell us why, because personally, I've been using this platform and I think it's amazing. There are just 2 co-founders and they're producing an outstanding amount of work at an astounding quality. I want you to welcome Pierson Marks, who is the co-founder of a company called JellyPod, and they are based in California, in San Francisco. Pierson, welcome to the show.

Thanks, Jim. Great to be here.

I have that parasocial relationship with you because I've been listening to your live streams. I've been watching you and Bilal talking not only about JellyPod, but also the state of tech. It's amazing the depth and the range of expertise that you two have. So I see you as someone that is an innovator, but also an educator. And that's where I'm hoping you're gonna take us today is why you're building a business to do with AI voice. for podcasting when Edison suggests that's not a good move. We're gonna talk about you as an entrepreneur, how you've been building this business not that many years out of college and then working for some large IT companies. And we'll talk about some of the experience you've got as an entrepreneur. So, Pearson, first of all, why voice when everyone is saying AI voice is slop?

No, it's a, it's a great question. So voice, so generative media in general, I think is a knee-jerk reaction against this sort of content, synthetic content, whatever you'd like to call it. And it's, I think it's fair. I think when people think about art, they think about a human emotional connection to whatever, whatever it's a painting, it's a film, it's anything. And over the last many millennia, that's how it's always been. And now you have a new technology that comes out that kind of throws a wrench in sort of this personal connection you have. So podcasting is a very interesting space because, you know, it started a few decades ago, the iPod, it was broadcast, it was iPod and broadcast came together as a podcast. And it was one of those forms that was very— of media that was very novel at the time. Before social media really existed, and you could actually hear individuals speak on topics, rant, banter, and you felt this personal and human connection to those people that weren't traditional radio hosts or anything. And it was really amazing back in the early 2000s to be able to do this. And fast forward 26 years, now you have synthetic voice, generative audio, and these things And what's really interesting about this is that now it's coming to the place where you can't really tell between was this podcast or was this audio recorded by someone in a studio, or was this produced on a platform like JellyPod or using something like ElevenLabs? And I believe strongly, like, you know, we'll probably get into this, but audio is something that's very human. And when you You feel deceived. And I think that's what listeners feel right now. It's a deception of what's being said. Can you trust it in an era of misinformation? Now there's no person behind what's being said. But I think that's the wrong premise. And so the reason why we built JellyPod was not because we think that it's necessarily, hey, we need podcasts with AI. I don't believe that. I think we need more people out there sharing their voice and sharing their stories, even the people that aren't comfortable like we are behind a microphone with their face, you know, out in the world. There are a lot of stories, a lot of, you know, niche knowledge that will just never get out into the world because that person doesn't want to invest the time, can't invest the time, or is not comfortable in recording themselves. And so that's why AI voice is this huge opportunity. Because people are able to now create content in a format that they traditionally would never create in. And that format, podcasting, is amazing. And we can go into why I think podcasting is amazing as a medium as well, but that's kind of high level there.

Yeah, Pearson. So it's interesting you use the word deception, that people feel deceived. And I was interested in this Edison research because it's saying people don't like AI, and yet My daughters, who are teenagers, listen to AI-generated content on YouTube. My wife, who's Chinese, listens to Chinese stories read plainly by an AI. And so it's almost like this suspension of disbelief, isn't it, that people have an issue with being deceived, and yet actually many people have moved beyond that.

Mm-hmm.

And they're not thinking, well, it's not a human, I can't listen to it. So do you think that it's about this idea that it's me talking to you, but it's not really me talking to you? Or is it just that, you know, actually, I don't mind if it's audio, and I don't mind, I just don't want someone to pretend that it's them. Where do you see that distinction?

You know, it's, it's, that's a good question. I think it's a little bit of both. I think the latter, where, like, you're pretending, I think that's where you kind of get into this weird space. But I can tell you firsthand that there are many big podcasts out there. I'm not going to name who, and I can't because I'm not sure, but I'm fairly confident there's a decent amount of big podcasts out there that use AI voice either fully or at least partially in their shows, and people just won't know. But I don't think people genuinely care. I think they just— at the end of the day, people want something that sounds good. That they engage with, that they feel like it's not a waste of time. Because, you know, nobody cares if they want to consume content that they like. And if it's produced via a human behind a microphone, a human behind a computer, that the computer creates the audio, it doesn't matter as long as it's engaging, that the listener actually enjoys the content. AI slop comes around when It's low quality, inauthentic content. And that, of course, that is— if it's bad, it's bad. Doesn't matter who was produced. It could be a bad human podcast too, you know.

And I think we're in an interesting space there because when we think about TV, animated movies, Toy Story, all the way back to Mickey Mouse, right? That was never a person. And the reason that question is so fundamentally important, Pearson, is because if humans were at odds with listening to something that's synthetic, JellyPod wouldn't have a future, right? It would be axiomatic that no one— if anyone found out that it was synthetic, no one would listen. But actually what we're saying is people do listen, they do watch, as long as it's good, which I think is brilliant. And having worked with JellyPod, the quality of what you produce with JellyPod, and we'll go into how that works in a moment, is astounding. So let's just then think, first of all, the premise is actually synthetic voice has a future. Let's just talk about some of the use cases that you've got, because you referred to where some people don't have maybe the self-confidence all the time to record. But I know within JellyPod you've got some users who have got some use cases That just make it super efficient to do what you're doing. So can we just talk about some of the use cases and then I'll ask you how it actually works, how JellyPod actually creates these amazing podcasts?

Totally. Yeah. So in 9 times out of 10, the content created on JellyPod is not in direct competition with long-form podcast content like Joe Rogan, All In, Andrew Huberman, any of those major podcasts. It's a different category in itself. So JellyPod, oftentimes we find success in 10 to 20 minute long shorter podcast episodes. And on the platform, what we've seen that some users, some of our most successful users are creating are one in the education space. So think about university professors, academics, researchers who spend most their time focusing on research or, you know, the things that they love, but they have papers, they have students that need to consume that information. And so JellyPod is this awesome new way to take content that's already being produced, whether that's lecture material or research papers, and convert that into podcasts where their students or their TAs or whoever can just read or can listen to versus read. So the academic and education space is something where it just would never have been done in the first place. You know, it's not a replacement of something that's already being done. It's actually net new. And that's kind of where you see the market and the TAM growing in terms of podcasting because of that.

Pierson, you've got a use case specifically. Can you just tell us which university and which professor is using JellyPod. Let's give people the reality. It's not a theory. It is actually a use case. And that's why my dad was a professor and I can just imagine how useful it would have been for him to share his insights on a podcast rather than just at the lecture on a Thursday morning. Totally.

So one of our case studies was with a professor, Steve D'Annunzio. He's a professor of logistics at the Ohio State University here in the United States, and he has a daily/weekly podcast where he talks about all the latest news in logistics. So it's kind of what he calls flipping the classroom. So in addition to standard readings or lecture material, he'll also give a podcast, which is usually around 10 minutes long, that just covers everything in logistic news. So he's an MBA professor and his students, MBA candidates, listen to his podcast once a week and it prepares them on the latest, uh, the news in the logistics world about what's going on there. And they don't have— and so Steve actually takes the time to figure out what's relevant and he goes into JellyPod, pulls in some articles, does some research in the platform, and produces this podcast for his students. And it's really been a success. He's actually had— he has these— he's created these characters and the students love the characters and the voices. He actually He reached out recently, was like, is there a way that we can do like a live podcast? So it's me and my AI host. And, you know, the technology is not there yet, but it's been really successful for him.

And this is liberating him. Is this Professor D'Annunzio, is he using his own voice, Pearson, or is he using one of the synthetic voices? Because that's a foundational strategy question, isn't it? Does he represent himself as doing the podcast? Or he's got another person doing it for him.

Yeah. So he does a voice clone of his own voice and then he has his co-host, her name is Ellie. And yeah, and so they go back and forth and it's a clone of his voice and then a fully generative voice.

And I'm sharing on screen for anyone that wants to see this in video, the jellypod.com website, and it shows how You can use the synthetic voices, and we'll come on to that in a bit with Pearson, or you can add your own. In fact, my experience with the JellyPod was to record my own voice and then to have a partner voice to do a podcast about Wiltshire. And my use case was that there is so much news, but none of the local chamber members or councillors had the time To come on the microphone. But there's this kind of cascade of newsletters and Facebook and all these things. And it was very difficult to get into the studio, certainly not to coordinate 2 people. So this idea that you could have yourself plus a synthetic co-host is really, really very clever and very powerful.

Totally.

From a practical point of view, I'd love you to just share as well The different ways that someone like your professor or me are able to create either this single host or multi-host podcast, because I was also really impressed with how easy you make it for people to create that, that podcast.

Yeah. So we try to keep it as simple as possible. If you log into JellyPod, it looks very familiar if you've used anything like ChatGPT or Claude. So it's 3 steps to get a podcast live, and hopefully you can get your first episode live within 20 minutes. That's our, that's our goal. But so the first thing that if you want to have a fully like your own podcast is you create your hosts. So these hosts are characters. They have a voice, obviously, a name and a backstory. So there's 3 components of a host that goes into that creation process: name, backstory, and voice. All 3 of them impact how they talk and how they chat in your podcast. So you create your hosts, whatever you want. It could be a voice clone of yourself or choose one of our voices in the library. Then you create your podcast series. So your podcast series is the umbrella that contains all your individual episodes. So this is where you give it a name, what the podcast is about. So you have your series, you have your hosts, And now you create your episode. So when you create a new episode, you pretty much have a ChatGPT-like box and you throw in documents, websites, links, blog posts, or prompt into that little area. You say, hey, I just gave you a blog article about the latest week in technology. Focus on these points. I want it to only be 7 minutes long, and you click go. And that's kind of— you kick off that process and you can go from there.

And I think, Pearson, there are a couple of aspects that I really enjoyed. One was that you can give it the material or you can give it the script and it will generate the script for you to review before it then renders the audio, if that's the right terminology, right?

Yep.

So it gave me a lot of control.

Totally.

As well. So I can either do it at speed or finesse the show.

Right. 100%. Absolutely. That's the goal. We want to help you get to 80%, 90% of the way there as quickly as possible, and that you come in as the editor-in-chief of your show to make sure everything sounds exactly correct and right. So JellyPod will create that script for you, but you can always edit that script. We'll create the audio for you. And yeah.

And then there was a, I think, an update or a development, whereas once upon a time one would enter the documents, but then you've added in the ability for JellyPod to take a prompt and do the deep research itself, I think. Right. Which, do you wanna just share that? Because I think that one of the things that's really impressed me about you and Bilal is that you've really understood the workflow of someone like me who's trying to create the podcast. So just explain the prompt-based, which is where the JellyPod is doing the research off platform. Right.

So if you, let's say, let's give an example. You can go into a prompt and you type a prompt in JellyPod, say, hey, create a 6-minute podcast about The latest news in, say, San Francisco. And JellyPod will then say, oh, cool. Like, let me go search the internet and find what is the latest news. So it'll go out onto the internet. It'll go pull in some sources, find some local newspapers, maybe some, some videos on YouTube. It'll pull in all that information. It's like, hey, now I have enough context to actually create an episode about the latest news in San Francisco. And Then I can generate the script. So it will actually intelligently decide if it needs to pull in other context from the internet to make your podcast better.

And I think that the final thing that you've done, or final feature that I'd love to raise, is that of automation. Because 6 months ago, uh, I was starting to engage with En and JellyPod and was thinking each week I'm going back into JellyPod. to do the research manually, putting it into JellyPod, which created a, you know, an extra work step for me. Tell us, Pearson, how have you now made it so that JellyPod really can become part of someone's workflow without creating a workload for them?

Oh, absolutely. And I am so, so bullish on this idea of I have, I want to do something and let me set it up once. And it'll just continue working. You know, that's what, as a manager or a founder of anything, like you want to tell your employees, you say, hey, I want this done every day. And the idea comes from you, but the execution comes from either your employees or a software system. So we took that same concept into JellyPod where we added this feature called automations. And so now JellyPod gives users the ability to create a recurring podcast that triggers on some schedule. So if you want a podcast every morning at 9 AM talking about the FIFA World Cup, you know, it's coming up, you can do that. And so you'd go into JellyPod, you say, hey, you're creating a podcast every morning at 9 AM, talk about all the highlights of the latest matches, any upcoming games of the next day or so, highlights. Horrible referee calls, everything. And then click create. And then now every morning at 9 AM, JellyPod will do that research, go search the internet, create the script, create the audio for you, and then publish it to your podcast channel automatically, or set it as a draft where you can come in and make sure everything's perfect and tweak it and then publish it.

And again, Piers, I really like how you've understood The breakpoints which enable a reduction in workload, but with control for quality, which is so important. Pearson, once the podcast has been made, the audio has been made, well, let's just talk about first of all the voices. Is that something that JellyPod is fabricating its own voices or are you going out to the other players? Because that must be a huge amount of work and I know there's you and Bilal together, but you do a colossal amount of work. But tell me a little bit about where the voices come from? Because at the end of the day, it's as close to authentic as possible. That's kind of the minimum viable product, isn't it, for audio?

Oh yeah, absolutely. So we partner with and work with some of the top model labs, some which you may know, some which you may not, like ElevenLabs and Gemini, to deliver to our users the best text-to-speech models available. And so we don't do any of the audio training ourselves. We let the pros handle that, the ones that have raised, you know, bazillion dollars to train these high-quality models. And we focus on the higher-level abstraction and allowing our users to get the most out of those models. So someone like ElevenLabs, they have a lot of different business units. They do voice agents, they do studio-grade stuff. You can do anything over in that platform. And what we're doing is just very focused on, on podcasting and making that flow the easiest and the best in the world while using ElevenLabs voices, while using Gemini voices. So a lot of people ask like, hey, like I could do the same thing in ElevenLabs. And I mean, absolutely. And that's why we work with them. But we just want to create a better experience for podcasting specifically.

Yeah. And I think that's where I was so impressed with what you've done because people say, well, you can create your own ElevenLabs clone voice, which I did. And I then connected it into JellyPod. But what you've really done, and I keep coming back to this, is you've understood the workflow of podcasting so well, and you're really unique in that because I've tried some of the other platforms that we won't have to talk about which ones they are, but I thought you've really understood the workflow best as opposed to being an audio post-production platform for TVCs or radio. You've really made it a podcast production platform. So once one has done the Origination of the script, the rendering. Let's just talk about the next part, which is distribution, Pierson. How is the show distributed? Because of course, that's, you know, the next part is whether it's to the players, the platforms. Explain to me how the workflow goes there.

Yeah, so Jellypot has built-in hosting and distribution, so we make it easy for you to get your show onto the internet. With your own website. So every podcast has its own website that you can send to your friends and family that they can listen to on the website. It also comes with an RSS feed. So because we give you an RSS feed, we make it easy to hook into Spotify, Apple Podcasts, Overcast, or any of those other distribution platforms like YouTube as well. So you just can go and set up once, hey, here's my podcast's feed. And then every episode that you create, you click publish and it'll just appear on Spotify, on Apple Podcasts without you having to manually upload. So that was also key for us to make it easy to publish.

And what about the video side? Because, you know, we have to put content onto YouTube because it's the world's second largest search engine, but also now it's eclipsing Apple and Spotify in terms of podcast listening. So tell us about how JellyPod serves content into YouTube, which of course needs to be a different format.

Yeah, so YouTube is distinct because you can't serve video through an RSS feed. So today, if you're looking to get your podcast onto YouTube from JellyPod, you download the video and you'd upload it to your channel. So we make it easy to download the video and the video is pretty much We have a few different templates that you can use for your, your podcast video, but it's not as seamless as we'd like it to be with a one-click button, but it's two-click. It's a download and then an upload. So we're getting there.

Okay. And there's only a few players, people like Descript have managed to sort that file conversion and distribution out. Right. But I've no doubt you'll get there. And it's, but I think also with JellyPod, we're getting the show notes and the chapter markers. anyway, aren't we? So it's, it's, there's not a lot of work. It's a little bit of manual download and upload. Okay. Pearson, you and Bilal have built a system now. Tell us a little bit about the history and also where you're at now in terms of number of users and, or number of hours or number of shows, whichever you're comfortable to share.

Yeah, totally. So we launched the JellyPod Studio in 2024. So it's been about a year and a half now. joined the team about a year ago. And since our launch, we've had over 75,000 users join the platform. We have about— we have over 100,000 distinct podcasts created on the platform, which is really cool. That's hundreds of thousands of minutes of audio. And so it's growing. And yeah, it's been amazing.

That's an insane number because I watch you two and I've been kind of trying to peek behind the curtains and see what, you know, where's the organization. And I just see it's you and Bilal. And I've popped up a few times on your YouTube saying, hey guys, you know, so where's the development? And is it, it's happening between you and Bilal, but tell me, how are you accomplishing such scale of development with such a small, a small—

Yeah, I mean, it's, we're in an amazing time right now. I've been a software engineer or I've been a programmer Since I was a kid, I learned to code in elementary school. I studied computer science in undergrad. And so I've been very familiar with computers for a long time, but it's only been the last 2 years or even less where essentially what one person can do is almost in the order of what 100 people can do. And it sounds absurd, but, and people will disagree, but software is one of those things that You know, AI can write a— can produce a lot of language. You know, they're large language models, and code is language, and it's structured language. They're very, very good at doing coding. And so now we are able to work in a way that has never been possible ever in humanity, where you can almost have an infinite number of You know, employees, but these employees are agents or AIs that are writing code for us. So as long as you have clarity in terms of the vision of what we want to create, we're actually able to parallelize work across these, these AIs that are writing the code for us. And we can get a lot of stuff done. And it's very, very cool. And this has only been a recent phenomenon in the last Maybe even 6 months where it's been actually possible to do this.

Really? That's interesting. So now you are able to set agents operating in parallel to deliver, presumably, I mean, we used to call it object-oriented programming, right? Or you'd just have little sort of kernels of code that would accomplish a certain function and then you'd put 'em all together at the end. For someone like me, that's obviously not even a novice. I'm not even, I wouldn't even credit myself with being a novice. What kind of technology for those of us that are not particularly abreast of it. When you say agents, is that like a ChatGPT going off and building something and then coming back? Or is it like you throw a boomerang out and it's coming back? How does that work from a practical point of view?

Yeah, so the 2 major AI players everybody knows, OpenAI and Anthropic, they both have their own coding agents. And when I say the term agent, you can consider ChatGPT as an agent, Essentially agent is just this very fuzzy term of just a chatbot that can perform actions. Essentially ChatGPT is more user-friendly, or Claude is very user-friendly. And recently it's been able to hook into tools like connect to your Gmail or search the internet and do things where it's not just answer response. It's more of, hey, I asked you to do something and it'll think a little bit and it'll go search the internet or Look at your emails and do stuff. So that's on the far, like, that's on like the most user-friendly side, and that's what most people are familiar with. And on the most developer, on the most advanced side, you have these fully autonomous, long-running agents that you can give them a long prompt that say, hey, build me a billion-dollar company and make no mistakes. And Claude or ChatGPT and Or Codex, I guess. They will go out and they'll maybe ask you some questions like, hey, you wanna build a billion-dollar company? Like in, in what area? What should we focus on? Blah, blah, blah. It'll ask you some questions and then it will go out and it will be in usually in the cloud or on your local machine. It'll just start writing code and it'll start writing code, testing the code, deploying the code. And these sort of agents can run from 5 minutes. 30 minutes to multiple hours, just depending on the complexity of the task. And hopefully you've specified what you want it to accomplish really clearly, because if you don't, then it'll go off the rails. Just like if you're a bad communicator to an employee, you know, you'd be like, hey, why'd you do this? And like, oh, you didn't give me enough context to perform the job and the task well. But they can do that. And you have long-running agents that can write a lot of code and come back to you with a almost fully completed feature or product.

Pearson, thank you for explaining that so well. So these are these MCPs, I think they're called, right? Is it Machine Context Protocol or something, right? That I've been, I've also been working with on my Claude connecting to my CRM, for example. It's amazing in a very primitive way. But now you've told me I can build a, I can ask it to build a billion-dollar company. I don't know why I'm just getting it to do my, to do my email. I think I need to, I need to grow my vision a little bit more. Yeah. Well, that's fantastic.

No, it's very cool. I would definitely urge you to take a step back sometimes and challenge Claude and what's possible. Sometimes being less specified can be very, you can be impressed. Like, wow, like I didn't even realize you could think of these cool things to do. Like if you have it with your CRM, like ask it, hey, can you just go out and find 1,000 new customers that look That'd be interested in my show or generate a bunch of ads or like do it. Stark can really do some amazing things.

Well, I think you've opened my eyes to the possibilities because we've, we've all been using AI to different levels. Obviously you're at another level again, which is one of the reasons I was so excited to have the opportunity to chat to you because I've seen the workflow that you've both put in, which demonstrates you understand the, the ICP and the business model. But from a business perspective, you've made it centered around what AI can accomplish rather than scaling. And presumably that's meant that you haven't had to raise lots of capital. Can we, can we talk a little bit about the journey as entrepreneurs? Because that is also fascinating to me. You know, that's why I have this show called The Unknown Entrepreneur, uh, and why I was keen to have you on the show. Can we just talk about your journey and how you got Bilal on? On board, because that's also the background that's so interesting, what challenges you faced.

Yeah, the journey, it's been, there was a pivot in the middle too, but I mean, long story short, my background, I was working at Amazon. I was on the Alexa team, so also in voice there. And when ChatGPT came out, I was like, wow, like we, this is amazing. This is going to change so much. And Alexa was so primitive in comparison at the time to what would be possible in the near future. So I was like, hey, let's do something about it. So started JellyPod as a mobile app back in 2023. And then fast forward to about a year later, we decided to pivot away from the mobile app. The mobile app was a little bit premature. It was, the idea was to create a personalized daily podcast for you. Based on your email newsletters. So it'd hook into your Gmail or emails and create a 10-minute podcast for you every morning. It was too early for that product, it was too expensive, and the voices weren't good then, or not as good as they are today. So then we pivoted into this product, which flipped the economics in our favor, because rather than creating one for each person, you can create one for somebody and that one person then can distribute that content to a lot of their audience. So it made it much more feasible to charge what we needed to in order to deliver a good product. And Bilal, I knew Bilal through this group called AI Tinkerers, which is a global organization that's really, really cool. Only engineers with meetups. And I met him through there. He was very passionate about the generative media space, audio and video and images, and more than anybody I've ever met at the time, still is. Makes it— and I was like, it's a perfect, perfect thing. So I was like, hey, join, join on this journey. We're building the AI podcast studio. I think you'd really enjoy it, blah, blah, blah. And then fast forward to today. I mean, we're just here managing a bunch of agents and us two going along.

So that's wonderful and amazingly quick scaling, both in terms of product and users. We haven't touched on pricing, but you've mentioned about the business model, which you're absolutely right, there is There is one platform that I have come across that takes information and will build you a daily audio podcast.

Right.

And for the life of me, I can't remember the name of it, but I can completely see the challenge with that is that you're asking people to pay quite a lot of money in effect for a very narrow cast sort of to one person. Just take us through the economics with the pricing for Your clients for JellyPod, Pearson? How does, how much does it cost to make a podcast? Is it per show or per credits? Just help people to understand that.

Right. So we use a credit system like most other platforms. These credits are used when producing episodes. So on the low end, on our starter tier, which starts at $30 a month, you get 5,000 credits. And then that scales up to our creator and business plans. But on the first, on that starter plan, that was 5,000 credits. Each credit allows you to produce 1 second of audio. So if you're creating a 10-minute podcast, 60 seconds a minute, that would be 600 credits required to produce that 1 episode. So on that first creator or on that first starter tier, because you get 5,000 credits per month, you can create about 9 or so shows if you're doing a 10-minute podcast. So you can do like twice a week or so episodes on that, that first tier. And that's perfect. It's really funny. A lot of people are like, this is super cheap compared to how much time it would take us to do an actual podcast and everything, you know.

Yeah, you know, I think the ROI on that is amazing because, you know, even if you hired a VA to do the editing, uh, you know, at $15 an hour, plus of course, coming back to my earlier use case, for my local council here in Wiltshire, they just don't have the people available. So you are looking at maybe $5 or so per 10-minute show, right? Fully made for you and distributed, which is insanely good value. And I think there's a— I personally think there's a whole business model in that. And now you've done the auto-scheduling, it makes that business model possible because otherwise the, the economics of podcast advertising mean it's quite hard to make money unless you get enough volume of listeners, which you may not get for a 10-minute. So I think you've enabled now kind of a hyper-local, hyper-focused niche show. But as you've done automation, it means that someone like me doesn't have to spend 2 or 3 hours making a show that may only generate $50 to $100 worth of advertising a week.

Right, right.

But you do also have one client that is producing a niche show in IT, don't you, Pearson?

Yep.

Do you want to just share about his story? Because we've talked about the academic, and I think that's one use case, but you've also got this IT person, and I won't steal your thunder, but I, I also have enjoyed that story.

Yeah, so it's an amazing story. One of our customers, one of our long-term customers just like you. Uh, his name is Noel Bradford. He is the, uh, Cyber Small Business Cybersecurity Guy. He has a podcast that now gathers about 100,000 monthly listeners. It's an insane scale of a show. And his show is focused specifically on the small niche of cybersecurity best practices for small businesses, kind of in the UK. So it's a British show and it's focusing on just Covering all the things that as a small business owner, you don't think about ever, like cybersecurity, but it's important because they're massive targets of cybercriminals. And so Noel, he produces a show, which this week it's his 1-year anniversary of his show. So check out The Small Business Cybersecurity Guy on every platform, Spotify, Apple Podcasts. And it's very cool. He spent, he's a, he has decades of experience in this field, but he's not somebody that would ever invest the time because of comfort or economics to go to a studio, record, talk about this stuff, get it edited, get it produced. Like, it just wasn't something that he would have ever done in a million years until JellyPod. So now he's able to tell his unique perspective without getting behind a microphone.

Yeah. And I think coming all the way back to what we were saying at the beginning of the show, you're opening up new use cases. It's not about replacing someone who wants to go to a studio and no longer does that. You're creating opportunities for people that wouldn't go to a studio for time or personality. And I think Noel also has a full-time job, so he may or may not be physically able to do that. Pearson, I think that's fantastic. Now let's just think through as we move forward the future of voice, because you've obviously built your business on voice, on synthetic voice. And we've covered off how that's done and the workflow and how that can be integrated and also some of the business cases. Where do you see voice going? And I love watching you and Bilal banter on your Wednesday live streams about AI. I'm just, just in awe of the depth of knowledge you've both got about things. Where do you see it going, if I can ask you to give us a slice of insight?

You know, at the end of the day, I think what's going to happen is going to be the same thing that happened with animation, with Toy Story being the In a first full-length feature animated film, computer animated film, it's gonna be this, it's gonna exactly the same. So at the end of the day, what's— if the story that you're telling is good, it's engaging, doesn't matter what, how it's produced, whether it was animated or filmed like in, you know, 20 years ago. And the same with voice. If it was a story worth telling, It's going to be worth listening, whether it was produced by somebody like us behind a microphone, traditionally recording it, or produced via a platform like JellyPod or ElevenLabs or whatever. So just at the end of the day, if it's a good story that has depth and it's not, you know, inauthentic, low-quality content, it's going to succeed and it's going to enable a bunch of new creators just like Noel, that would've never considered themselves a creator that now can be. So it's very exciting.

And you and Bilal are playing a fundamental role in the industry there. And I think you're not getting enough recognition for that because there's so much kind of what I would sort of, sort of highbrow criticism of AI slop that people are really ignoring the great quality content that is being generated by people like yourself that are building high-quality, high-engagement, human-in-the-loop production processes for AI.

Absolutely.

Pierson, you've built a business which has scaled very quickly, leveraging the new technologies that have just come out. I'd love to get your view on entrepreneurship and advice for young people because We're full of doom and gloom, certainly in the UK. And one of the things I've been talking with my daughters about with examples is there are new jobs being created. There are new companies being created that didn't exist before. AI is not going to be replacing you necessarily, but it is going to change the way that people behave in the workforce.

Right.

As an entrepreneur, as a young, as a younger generation entrepreneur, what advice would you give to people?

Totally. So one thing that I always like to talk about, it was coined by Marc Andreessen from a16z. He said we shouldn't be worried about job loss because it's not really jobs that are being replaced, it's tasks. Tasks are being replaced. So a job consists of many tasks, and if half those tasks can be done by an AI, that's amazing. It gives you the time to focus on those other 50% of higher leverage activities that are less menial and just higher leverage. So tasks are getting replaced. Hopefully most jobs aren't all tasks that can be done with an AI. Some of them will be. But what I always like to think about as somebody, as an entrepreneur, as somebody very optimistic for the future, more optimistic today than I've ever been in my entire life, is that as long as there's inefficiencies in the world, Yeah. There are problems. You know, you talk about like maybe cities and a thing that's very passionate— I'm passionate about is like the cost of producing homes. And as long as there's inefficiencies and like these economic imbalances in terms of like where we need to be and where we are today, technology fills that void and technology allows us to grow out of these hard positions. And We're seeing a lot of reinvestment outside of software into hardware and physical robotics and construction and material sciences and biology and like cancer, like, think about how amazing it's going to be when we can solve cancer because of the AI and biology and chemistry. So as an entrepreneur, and advice I'd give to entrepreneurs is like, the question, the problems that recently were very, very hard might be the best problems to go after. Because at the rate of change of AI and how you can leverage these tools, the things that people previously thought 10 years ago, like this would take $1 million or $1 billion to even start to solve, might be possible for a small team to actually accomplish. And so the playing field's wide open, and it's the best time to be a startup that can move fast and take advantage of these advancements.

So Pearson Marks, founder of JellyPod, now in San Francisco. If you want to find out more about you, where can they come?

I have, find me on LinkedIn, Pearson Marks, on X, also Pearson Marks. Or if you want to ever follow me on my blog where I make some, have some writing, pearsonmarks.com. So yeah. Great.

And of course I'll put Pearson's details in the show notes. It's P-I-E-R-S-O-N. By the way, correct, so is the spelling. Pearson, thank you so much for joining me. I have been excited to watch your journey, and yes, it's been about a year and a half to 2 years since I first logged on, and so I've seen the changes, and I'm, and I'm really excited for what you're doing as an entrepreneur and also as a podcaster. So thank you for all your contribution and for your optimism. Thanks for coming on the show.

Thanks, Jim, for having me.

We've been listening to Pearson Marks, who, as I mentioned, is the founder of a company called JellyPod, and it's jellypod.com. And I can really recommend that you go and have a look and sign up for a free trial. And my experience has been that the workflow is wonderful, the audio quality is fantastic, and the people that have listened to the podcast that I've created were unsure, in fact, whether it was me or my synthetic voice. They thought that the podcast sounded a bit smarter, so it must have been the synthetic voice and not me. Until we get a chance to meet again, I just encourage you to keep on communicating, and thank you for listening to this episode of me, Jim James, the Unnoticed Entrepreneur.