051 - Modernizing Depositions and Discovery with AI - Featuring Tom Irby, Co-Founder, Skribe.ai

Speaker A: If you were on a call with the legacy court reporting firms, their understanding or, uh, response would be, oh, it's maybe 10 years out. There's going to be a big shift in kind of how this looks. We don't think that at all. We think the technology is robust, it does a better job, and we're proving it out. We think at some point it's all going to shift. We think it's sooner than later.

Speaker B: That spark of innovation, it's just waiting for the perfect combination of tools and talent to bring it to life. Welcome to Pitch Build Scale. I'm your host, Chris Fanche, a recovering startup founder, veteran SaaS marketer turned dev tech enthusiast and growth specialist. Each episode we connect with the builders, the visionaries and the problem solvers who are redefining what's possible with today's technology and pioneering the websites, uh, apps and software products of tomorrow. These are the conversations that transform how we build, how we sell, and how we scale technology businesses in a world where the tech evolves by the minute. Ready to stay ahead of the curve. This is Pitch Build Scale.

Speaker C: Hello and welcome to today's episode. We have a very exciting guest. For those of you just joining the podcast, we are Big North Marketing and specialize in helping dev shops and SaaS companies scale their revenue. So if you want to learn how to take your SaaS or dev business to the next level, make sure to stick around.

Speaker B: And if you're interested in a free

Speaker C: growth consultation, just drop us the word growth in the DMs. We're really excited to have today's guest, Tom Irby, co founder of Scribe AI. Tom has over 35 years of executive experience and has built, scaled and exited multiple businesses, including a court reporting firm. He sold to Veritext, the largest in the industry. And now with Scribe, he's reimagining testimony capture using AI and modern video platforms. Tom, welcome to the show.

Speaker A: Thanks, Chris. Excited to join you today and looking forward to the conversation and hanging out for a little bit.

Speaker C: Yeah, absolutely. So I like to start by learning my guest's origin story, if you will. What is your background? How did you first get into technology and legal tech specifically?

Speaker A: Well, I mean, I think the origins of technology were probably the first decade of my career was in the PC industry and so I had early exposure to technology and so I think I've seen everything through that lens from that point forward. So I think that's where it kind of started as far as kind of the, you know, the legal tech side of it. Bought, uh, A court reporting firm back in 2007 had never been in the legal space prior to that. Um, you know, unless it was getting a ticket or, you know, or getting in trouble or. But never really formally professionally around legal. I had the opportunity to buy this firm and um, I thought, well, I'm going to buy it, run it for a while, grow it and sell it. Um, and I learned quite a bit about the space and I think kind of the most notable piece. And I know we'll get into this a little bit more, but I learned about a lot about how big of a market was, how interesting it is, how dynamic it is. But I also learned the business model associated with capturing testimony, namely court reporting firms. What an expensive, antiquated dinosaur of a business model that I had bought. And so, you know, it went from, um, excitement to, oh, crap, I gotta, I gotta figure out how to navigate out of this. But in that whole process really started fueling a lot of thought and interest about, well, if I'm con. If I think it's going to get disrupted or changed, then what does it look like? And so anyway, that's kind of the origins of, of how we ended up here at Scribe, or part of the story on how we ended up at Scribe. I'll give you more data around our, uh, when we get to that point.

Speaker C: Okay, yeah, absolutely. Have you always wanted to be an entrepreneur? Has that been something that. That's always been part of your life?

Speaker A: Yeah, you know, this is, that's a great question. And I, um, actually was thinking about that in the last day or two and as a kid growing up, like a lot of kids, you look up to your dad and you look up to your grandfather and, and in both cases they were, they were very much small business operators, entrepreneurs. And so at my earliest ages, that's what I visualized. And so I think I've always kind of had that in my mind as, uh, where I wanted to go the first decade or so in the PC industry. You know, I didn't own the company. I was a partial owner, but I wasn't the. I didn't run it. Uh, I was at the VP level. I think an entrepreneurial mindset is, um, something that it's hard to get away from. And so I think there's a level of frustration when you're working inside a bigger organization that kind of frees itself up when you are running your own business. And everybody knows this, but once you kind of jump into the entrepreneurial seat, um, you're not employable anymore. You're not going to be happy sitting shotgun and letting somebody else drive. You really aspire to drive. Um, and so, yeah, I think the answer is, yeah, I've always kind of felt like that's where I should have been and where I wanted to be.

Speaker C: So take us from purchasing that, that, that firm back in the 2000s, 2007 to where you're at now. How did that journey unfold?

Speaker A: There were a lot of folds in that journey. So just to kind of walk through some of the, as I think through selling it. In 2014, um, I had met a litigator in the Austin area by the name of Carl Seibach. Carl and I are the founders of Scribe. Carl has been in litigation for about 20 years. So Carl and I met about a decade ago, so he would have been 10 years into his, his career, uh, as a litigator. Carl and I met and had lunch. He was also a client, so he was running depositions through the court boarding firm. But Carl's a techie. You know, at his core he was really a tech guy stuck in a litigator world. He, um, he and I started having conversation about the industry and the space. I started sharing, you know, my concerns about the dinosaur of a business model that I had with, with uh, this court reporting firm. He started talking about his experiences as a litigator inside depositions and how frustrating it was. And so we, we found a lot of commonality around this topic of, uh, it's a huge market, huge potential, but it's broken. And so if it's broken, what, what's a modern version look like? And so, so from our, our first lunch to second lunch, to having a beer, to hanging out over, over the course of years, we kept talking about this idea and everybody, every time we talked about it, we got more excited than the previous time. But we, we, we kept back of the napkining, what it would look like. And it was never quite right. You know, we kept going down kind of these uber inspired sort of ideas where we were kind of workforcing the court reporting pool and the videographer pool and uh, getting rid of the agency so it would be more of a direct model between litigators and the people fulfilling it. But it never quite felt right. And so along comes this pandemic. And so the business of taking depositions changed from in person to where it kind of made sense to drag in a person with a funny little stenographic machine that was invented in the late 1800s. And a videographer would jump in, into the, into the conference room as well. And it kind of made sense if you're in person to have people in the room with you. But once everything went to a laptop and you went to Zoom and you have native technology sitting all around you, it became really hideous to think about, hey, I'm going to go ahead and invite somebody with a funding machine to type the spoken word. And even more hideous is I'm going to have a core, I'm going to have a videographer jump into the same event and push record on Zoom and charge me 150 an hour for pushing the button. So the business of taking depositions changed and the business model had not changed. So Carl and I kind of latched on to, hey, you know what, let's focus on the native technology surrounding us and let's figure out how to map the entire workflow of a deposition and as a starting point and then grow from there.

Speaker C: So how has that changed over the last five years now? So you're starting to build your solution in 2020, thereabouts. Then 2022 we get generative AI explosion. What was, how have things changed? How has your technology changed with uh, that uh, shift?

Speaker A: So, so, so from a timeline standpoint, we formed the company in 2022, we, we launched in mid 2023. So we're, we're right at a 24 month window of, of being commercial. So what has changed, you know, from the time we started till now? I think that we've really migrated into a different, a, uh, bigger, broader vision of what we want to do. Initially it was, hey, let's, we're going to do depositions and we're going to do them, um, cheaper and faster than everybody else. That's a very transactional sort of business model and it's what all of the big core reporting firms do today. You schedule deposition, you attend it, you get delivery on some things, you pay an invoice and you go away. You don't really use them or their platform much beyond that. So what's changed from the last 24 months is, okay, we've proven out that model that we can be transactional. We can get rid of the people in the room that drive up the cost. We can speed up everything, use technology in a really dramatic way, impact workflows in these litigators, offices, back offices. But what we've really navigated to now is, okay, let's think in terms of a platform that's really less transactional and really more of a bigger, broader sort of like workplace or platform for these attorneys. So what that looks like is think in terms of before a deposition, something happens. During the deposition, something happens. And then after the deposition something happens. And it all lives inside scribes. And uh, uh, a lot of this is. Some of this is current and some of this is roadmap and where we're going. But I think it kind of answers your question about what's really changed and how we think about this. So imagine before the deposition, any and all content around a case gets uploaded into it. So the scribe application is a funnel for all of that content. So when you have a case, you have guidance and strategy and questioning outlines before the deposition ever happens. You prepare better during the deposition with the benefit of that preparation. You have a real time feed. You can see the conversation taking place. And you have the benefit of AI providing inconsistencies or additional questions or maybe a missed questions or, hey, they, they answered this question in a different way than they answered up here. So real, real in event coaching that helps, uh, better capture the testimony. And then after the deposition, again, getting back to this final concept of data and testimony, where we become kind of the hub for all testimony for not just that deposition or that case, but an entire organization. So moving to more of a testimony intelligence platform is really kind of what's changed from when we decided, hey, let's go for this compared to where we are now. You know, that's what we're building to

Speaker C: currently is the real time aspect of it. Is that available now?

Speaker A: It is, it is. We've just launched that in the last 30 days or so. It's been met with great excitement. The insights piece of it that I mentioned is still in development. We're testing some of it internally. That's the, you know, every 30 seconds to a minute coming back with some sort of AI that's checking the transcript versus kind of what it. What you either loaded into it or just what's going on inside the testimony.

Speaker C: Okay. What are the legal or regulatory barriers that go into making this kind of thing? Why. Why couldn't someone just use a, uh, Otter or Fireflies or one of these other AI video recorders or transcribers?

Speaker A: Yeah, so, Chris, that's kind of. That's kind of the key issue or challenge that is. That is in this space we're in. Um, and so to dive down into the weeds a little bit. Ultimately what you're trying to do is ensure that the testimony you capture is admissible in court. The last thing you want to do is have testimony that gets thrown out in court. I Mean that's a bad scenario. So how you ensure that is there's something called civil procedure rules. Uh, these civil procedure rules exist at the state level and at the federal level. So as we map out where we're doing business, we go through a process of understanding what the rules are. We have outside counsel that studies the rules as well. We establish kind of internally, okay, we're going into fill in the blank state. The rules look like this. That means the paperwork needs to look like this, the notice needs to look like this, the read on needs to look like this, and the rule numbers are these. And we, we reference them all the way through our process. So it's a great question. And that's kind of one of the big pieces that make sure that it's less about competition, it's more about we. It's a zero tolerance around making sure that our clients have testimony that's admissible.

Speaker C: What happens when, and I'm sure we've all experienced this, we look at a transcript of a call that we've recorded and see that something was transcribed either incorrectly, so it was misspelled, or the AI heard something differently, or it was difficult to distinguish what the person said. How do you handle that kind of issue, and what's the ramifications of that?

Speaker A: Yeah, so, yeah, so ramifications. I'll hold off on the ramifications. Let me walk through the kind of the process of how this works. So let's just assume this was a. Ah, let's assume this is a deposition. And so in the background, all the audio videos being captured electronically, uh, the video is the video. And that's kind of what we certify in our business model. The video is the official record. Once the event is over, we push that audio out to an ASR automated speech recognition, and we produce a rough transcript. So you have the video that's the official record. And then you have a rough transcript that's like in the 94 to 95% accuracy range. And you get that within a, uh, short amount of time. Could be upwards of an hour, depends how long the deposition is. And the idea is, let's get them a rough that they can work with immediately after the deposition. You can search for important points, you can create video clips. You can use AI to create summaries, really velocity to the workflow. Then what we do is we take that ASR transcript and the video and we push it into a human proofreading service. And that human proofreading service takes five to seven days. They go through all of it and it pushes it up to the 99.6% range. It's as close to perfect as it can be. And then the last thing we do is we send out what's called an errata sheet. And that gives the witness the ability to review the entire transcript for inaccuracies. And so that gets pushed out to the witness that comes back and it becomes part of the file around that. So you have the video, that's the official record, you have the human proofread transcript that's like in the 99% uh, accuracy range and then the errata sheet attached to it and then all of that becomes kind of that deposition's work product. But the ramifications, yeah, you know, the ramifications are, could um, be enormous. You know, it depends on the sentence, the word kind of the witness. The frequency of that becoming an issue is probably pretty small. But when it is an issue, it can be, be a big thing. I will point out. And again, I don't want to sound it sound like I make against court reporters because I'm not against court reporters. They do a wonderful job. But the court reporters to pass their, their licensing test is like uh, a 95% range. Even, even the best people on the planet at, at old school court reporting make mistakes. And it's kind of, it, it really goes back to the genesis of, of Starting Scribe is we're surrounded by technology that's getting better and better all the time. It's silly not to use what's available for us. And, and in every aspect of our lives we do it now anyway, you know what I mean? So as a civilization we've all evolved to, I mean, you know, we've all evolved to, to devices that do wonderful jobs for us on every front. And yet we've, we're kind of stuck in a, you know, 10, 20, 30, 40 year old technology or discipline that has been uh, and oh, by the way, court reporting as a profession, a lot of people argue that it's dying. There's, there's close to a 40% shortage across the USA of court reporters to cover work. And some states like California, they've already kind of declared a crisis in the court systems and they're getting backed up because they just don't have people to do it. And so, you know, we're really just kind of addressing a big market that has a, has a real problem that's broken in a modern way that should have been done a long time ago.

Speaker C: How are the, the court systems reacting to this kind of change. Are you seeing much feedback?

Speaker A: Kind of what you would guess. It's really a mixed bag, you know, like it depends on how forward thinking people are and, and you know, you could almost, you know, you could almost kind of uh, you know, create an age range and go, okay, this younger range tends to be more tech leaning. They get it quicker. This older range maybe is not and they're kind of happy with doing it the old fashioned way. It's not, that's not a hundred percent of the time. You know we have, we have people that in every age bracket that are using us currently. But I think the general, the general thinking out there is everybody knows this is changing. Everybody knows it's across the board. It doesn't matter who you talk to, everybody acknowledges it's going to change. People are risk of uh, people don't always take risk. And when you're risking testimony being admissible or not, it's even more hesitation around it. You know, there's a lot of, a lot of education that goes into what we're doing, a lot of thought leadership, a lot of onboarding, a lot of building relations and confidence with, with clients. Um, and you know, that's really kind of where the, oh, the other thing I was going to mention real quickly is the other thing that, that that's lagging in this space are the rules, the rules associated with those civil procedure rules I mentioned earlier. Most of them were written in the early 90s, 30, 40 years back. We're talking about these rules and they never forecast or never anticipated in those rules creations where technology would be now. Nobody anticipated A.I. uh, nobody anticipated that. That little pandemic that we had that changed the behaviors of everything. So, so now we're at this point where legislative sessions are trying to update rules and we're part of that whole process and a lot of the people that are kind of leading the charger in the process and yet you have the court reporting industry that's resisting it. And so there's these rules that favor kind of the dinosaurs and the dinosaurs are protecting it. And all the people that understand hey, change is going to happen are trying to update it and the legislative process and the rules are kind of lagging a little bit.

Speaker C: How many states are you currently in?

Speaker A: The last number I have is 25 and that's probably a month old number, so I'd say it's probably still under 30. The vast majority of our, of our work is still in the Texas market because that's where we started and we found, we found Real, um, organic growth in certain cities around the state. And now we're trying to replicate that kind of broad scale across other states.

Speaker C: Who are your primary customers? Is it the, uh, litigators, the firms, the court systems themselves?

Speaker A: So it's not the court systems yet, it's really litigators and it's the individual attorneys. So it kind of depends on the size of the firm. What we typically target are personal injury attorneys, and we target the plaintiff side. And there's a rationale around that is personal injury is the biggest bucket of litigation. There's more cases, and the plaintiff side is. They get compensated, uh, on a contingent basis. So if I can go to a plaintiff attorney and say, hey, listen, I can cut 50, 60 plus percent out of your deposition costs, are you interested? Interested in that? They jump out of their shoes. Where the defense side gets paid by the hour, whether they win or lose, they don't jump out of their shoes. And so we're focused. Personal injury, the plaintiff side, is really kind of our biggest. It's our bread and butter market right now.

Speaker C: Okay, and what about from a federal level? Are you guys able to function within the federal courts? And is that a much different rulemaking process?

Speaker A: So the federal rules favor us in a big way. So, so the way that works, we still target litigators, uh, personal injury and plaintiff side. And some of these plaintiffs have, have a docket of cases that includes federal cases. And so it's really nothing changes on who we're targeting. It really, it ties back to their docket or the, the, the number of cases they have. And if they're all state, if they're all state focused, or maybe they're partial between federal focused and state focused. And then we just map to the rules accordingly. But at the federal level, they're probably the most favorable rules of any of the rules we deal with.

Speaker C: Okay, are you seeing. And I feel like this is fairly consistent in a lot of different industries that AI is held to a higher standard than a human when it comes to, like, error rates and accuracy. Is that what you're seeing?

Speaker A: You know, I hadn't really thought about it, but I mean, the conversation you and I had about five minutes ago where I talked about court reporters have to do 95% or better to get their license, and yet I'm, I'm at 99.6, and people are reluctant and concerned. So I think that kind of answers the question. Yeah, like, it really, it really does. And, um, like the other, the other thing to keep in mind here and this Is this is. These are nuances of what this world looks like that I'm in. Prior to Covid, less than 10% of these depositions use video. So 90% of these depositions were a stack of paper with words on paper. And so like, if you think in terms of, hey, I've got somebody in the room, they're typing what they're hearing. Think about the number of ways that can go wrong. It doesn't show inflection, it doesn't show facial, non verbal. It's the level of accuracy with words on paper, I think is really totally different than post Covid. It flipped. Now, 90% of these depositions have video. And so think in terms of what do you want to watch to really hear the real testimony? Have a hundred page document that's line and page, where you take a highlighter and you're highlighting things on and off that, that document? Or do you want to have a play button where you can say, you know, what did Chris say in minutes, you know, 49 to 53, that were so important? And how do I create a video clip of that and then have testimony on, on paper that reference the references, the video? That's kind of the dynamic shift that we've gone through. And, and, and it's another subtlety of kind of how we think of things. Prior to Covid, the gold standard in this testimony was a transcript. After Covid, Uh, the gold standard is the video.

Speaker C: Yeah.

Speaker A: And, uh, you can do so much more with the video.

Speaker C: Yeah. And I, I could also see certain entities, certain defendants not wanting the video because of those reasons, things like that. Do you see? Are you working only in civil litigation at this point, or is there use for this in, in the criminal side of things?

Speaker A: There's use in both sides. I think our focus right now is in the civil side. There's, there's definitely, really anywhere there's testimony, legal testimony. The scribe application does a wonderful job. It's really more about, we can't, we can't boil the ocean here. We have to be clear about who's our ideal customer and really prove out the model and, uh, and really push hard for product market fit. And once we kind of feel like, okay, we're hitting all cylinders with this market and, and we know them inside out, then you can start pushing out into these other. But it can handle any testimony. There have been some other use case ideas that have come up. We, we had a conversation with, um, a law enforcement group, and I think it was either Ontario or Toronto. It was up in Canada. And they have uh, in a, in a given metropolitan uh, area, they have interview rooms. You know, you can just imagine when there's a big case or there's a suspect or somebody of interest they want to have a conversation with, they bring them into a room and they have a video on them. And what they capture is really important. The way they were capturing it was so old school. They had an old school camera and when it was done they had a DVD and they would circulate DVDs to different offices. They didn't have the ability to highlight, capture, Search Share video clip Share like you share like you share a YouTube clip. Now they didn't have the ability to do those sorts of things. So, so at scale, imagine every police force in metropolitan areas across the country, the need that they have for some sort of uniform way of capturing testimony in those interview rooms. You know, that's kind of a vertical that sits out there on the side of what we're focused on now. The other is think about corporations and either board meetings or, or corporate meetings or big, big client meetings kind of fill in the blank. It's a, it's a very similar sort of application where you're just capturing testimony. The only big difference, one of the big differences in kind of how we're navigating this is it has to do with the admissibility and kind of the navigating of the states because that's really, that's really more of a moat and a barrier for entrance and something that, you know, we've, we've got, we've got a couple years jump into what this looks like. And we're navigating all these states really aggressively. And we do think at some point it'll go from a US product to maybe we go to the UK or maybe we go to another country and start kind of pushing into capturing testimony in those countries as well and navigating their laws.

Speaker C: Are there other parts of the legal process that you could see being transformed by technology like this? Things that you're maybe keeping an eye on for the future?

Speaker A: Well, it's all, it's all going on. I mean you could see where any and all content related to cases. So uh, whether it's e discovery or record retrieval, you know, the, the whole subpoena, sending subpoenas or serving all technology in the legal tech space in particular, you're seeing, you're seeing it come. There's a broad transformation going on and at its core it's not just tech. It's really kind of the AI pieces of it, uh, that are really making it a super interesting place. And so yeah, I think, I think if you fast forwarded, you know, three to five years, the landscape of what it looks like now is almost going to be unrecognizable. It's going to be so different. Now. If, if, if you were on a call with the legacy court reporting firms, their, their understanding or uh, response would be, oh, it's you maybe 10 years out. There's going to be a big shift in kind of how this looks. We don't think that at all. We think the technology is robust, it does a better job and, and it's, we're proving it out. We think it's just going to be, at some point it's going to, it's all going to shift. We think it's sooner than later. And so, you know, uh, our, our, our competitors, you know, they think it's a longer term play. And I think the underlying current of court reporters aging out there being a bigger, bigger shortage, old modernization, which is going to happen, which will change all these, all these, uh, states will all of a sudden recognize that hey, there is AI, there is technology. Court borders are going away, remote is a real thing that's not going away. People are going to use zoom. Um, all those things are happening kind of really dynamically. So I think it's going to happen pretty quickly.

Speaker C: Do you have concerns and how do you address the concerns out there, um, around AI seemingly replacing human jobs, human things that humans do?

Speaker A: I don't know. I mean, I, I mean I think it's real. I don't think you could deny that AI is going, has and is going to change how the work market, how it goes. I think the, if, if we had this conversation in July of 24, 2024 or we had this conversation, uh, July of 2023. Think of how differently we would think of AI. Like go back two years. There's so much uncertainty on how it was going to work. Who is going to use it. Could I, could I personally use it and then go back, go, go 12 months forward to 2024. Oh, it's not so scary. There, there are a lot of positive ways to use this. And now go to 2025. It's like it's embedded in every, everything I do. And so I, uh, think uh, where I'm landing is there's certainly going to be some jobs that go away. But I think the more likely thing is that you're not going to lose your job to AI. You're going to lose your job to somebody that uses AI. So you kind of got to jump on the bandwagon. You've got to use it as a tool and find the most productive ways to implement it in your, your world. You know, like in your business. Chris, I would think that it's, it's, it's gotta be one of the more, I mean think about, I mean content the way people write and what they write and what it looks like. How do you make sure it doesn't sound too much too chat GPT ish. How do you make it authentic? You know, learning how to prompt better and learning how to use it as a tool that it has the benefit and making sure you have a license so that all of your information is held to you and you train your model to where it becomes your tool. You've got. Those are the things that, you know, that we're doing inside, Inside Scribe and trying to, trying to put it at scale for testimony so that the whole workflow works better. So I don't know if I answered your question. It was just kind of some, some, some out loud thinking about what this looks like. I think it's super exciting. Like I think it's in my 40 year career, it's easily the most exciting technology that I've seen.

Speaker C: Yeah. And there's no right or wrong answer. I don't think anyone really knows where we're going and uh, I don't think we know how quickly it's going to happen. I think it's been speeding up. Like you've mentioned. Two years ago we would have looked at things much differently than we do today. And I think a year from now it's going to be much m further along than maybe we think if we were to project today. Right. So I think yeah, it's just something that everyone must have on their mind to some degree. Yeah, it's, it's a, it's a challenge.

Speaker A: And we've never seen any adoption like this of technology. You've seen probably the same things I've seen where they go back and they talk about, I forget the different technologies and they, you know, it takes us so long to do this and so long for this to get there. And then here comes AI and it's like it's the fastest adoption of a technology that we've ever seen in the history, man.

Speaker C: And it's almost completely ubiquitous. Right. Like I, I'm on this podcast. I've spoken to people working on software for every different industry you can imagine basically. And some of them say we're, we're building something for people that are using spreadsheets. And that uh, that was a recent addition, right? We, we were doing it by hand before, within the last 10 years, but now they, they can bring everything together with, with some form of software because

Speaker A: AI, uh,

Speaker C: to develop products that can touch all these different areas of a business and modernize it seemingly overnight.

Speaker A: Yeah, yeah, no, it's, it's a fascinating time. And I mean I think it's my general um. I don't know if philosophy is the right word, but I'll just use my general philosophy is, is just embrace it and use it for, use it for the best thing you can use it for because it's, it's. The genie's out of the bottle, right? It's, it's not going away is we're not going to back up the bus here and uh, go oh you know what, let's, let's not use AI. AI is here and it's going to stay and it's only going to get more and more powerful. So it's if, if, if you have kind of a growth mentality and you aspire to chase passion or do what you do for a living, use it, see how you can implement it and make things even more interesting kind of in your own, in your own space. Whether it's on the career side of the. I mean I've got a, I've got a 90 year old mom and an 80 year old stepfather and my, my m. 90 year old mom has a lot of health issues and my stepfather has more and more health issues. I showed him ChatGPT about three months ago. Every time I go to his house now he has a new question he asked and he, but he, man, he prints out everything like he's got, you know, it's like you don't have to print the Internet that commercial. You don't have to print the Internet. But every time I go over there he's like, you know, hey, I was uh, you know, I know I'm having short term memory problems and so I just asked chad G. I'm 80 years old, this is what's going on. Me, I have short term memory problems. What are the best things I can do? And he has like a two page prescriptive sort of path and he feels like this is the best thing ever printed on a piece of paper that he can highlight and start chasing. I mean that's a, that's a pretty powerful thing for an 80 year old to be jumping around in chat. GPT.

Speaker C: No.

Speaker A: That's.

Speaker C: That's incredible. Yeah, it really is quite a, uh, quite an incredible time we're living in. Yeah, absolutely. Well, thank you so much for coming on the show. I'll let you out of here with, with one last question. Going back to your business. Hypothetically, if you had a magic wand and you could fix one thing or change one thing in the business right now to get you to where you want to be in the future, what would that one thing be?

Speaker A: The old magic wand question. You know, I mean, I think that,

Speaker B: um,

Speaker A: it's a, it's a great question and I'm, I'm hesitating because I'm trying to figure out what exactly it would be. I think the magic wand for us really is around. It's really around adoption and friction and education of kind of what we're doing and how we're doing it. You know, what we're doing is different than what the whole market is doing. It's a very different approach. So I, uh, think leaning into thought leadership and education on the front of this a little more aggressively than we probably did. We're leaning into it really hard now. But I think initially we thought, hey, we see the path here. Surely everybody else sees the path. It was a little presumptive and it's really in the bell curve. Early adopters is a small little group, and so we're talking to a lot of people. Only a subset of those people fit into that early adopter. And so I think, I think education, webinars, podcasts, blogs, more one on one sort of onboarding from an entrepreneur standpoint, like on the front end of this, I think would have been really impactful. I could probably sit here if you asked me that question, you know, three more times. I could probably give you three more answers. But that kind of is, I think is, is really a big thing for, for us.

Speaker C: Uh, awesome. Uh, well, Tom, um, thank you so much for sharing that and thank you for this conversation. This has been great. For folks that want to learn more about Scribe and follow your work, where can they find you?

Speaker A: Well, you know, the jump on the website, it's www.scribe.AI and Scribe is S K R I B E A I jump on there. It'll give you a lot more information. Follow us on LinkedIn. We're really active on LinkedIn as well. Different posts, educating, just like I was talking about and really kind of doing, uh, all the, all the fun things there. And then, you know, I'd love to hear directly from anybody out there. My email address is Tom Scribe AI, so any of those pass would be great.

Speaker C: Fantastic. Thank you to everyone for listening. Be sure you subscribe, leave us a review, and as always, keep pitching, keep building, and keep scaling.

Speaker B: Thanks for listening to this episode of Pitch Build Scale. Be sure to subscribe on your favorite podcast provider so you never miss an episode and we'll see you next time.