EP 289: From Conversations to Content - AI's Role in Storytelling and Productivity

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Meetings can be kind of terrible sometimes, right? Like when they're stacked up back to back to back and it seems like you're saying sometimes the same things over and over. And then what happens with all of that, right? Like what happens with all of those great insights between you and your team or, or you and potential customers? What do you do with them? That's your company's ip. That's your company's secret sauce. That's your knowledge. How can you take that and not just be more productive with it, but tell better stories that maybe help you sell more, create better relationships and grow your company and grow your career? That's one that we're going to be talking about today and one I'm personally very passionate and excited about. So I can't wait to talk a little bit about from conversations to content and how AIs role in storytelling and productivity is completely changing. All right, so before we get into that, if you haven't already, like, why haven't you go to your everydayai.com Sign up for the free daily newsletter written by humans for humans who want to grow their companies and careers. All right, before we get into today's topic, let's go over, as we do every day, the AI news. A lot of spicy stuff going on today. So first, OpenAI, Microsoft, Nvidia and well, they might be in some hot water right now with federal regulators. So the U.S. justice Department and Federal Trade Commission are launching investigations into Nvidia, Microsoft and OpenAI for anti competitive behavior in the AI industry. This is part of a wider effort by the Biden administration to challenge monopolistic practices in various industries. So the, the FTC has a particular interest in the AI industry with these investigations between big tech and AI developers. So yeah, we'll see how that happens. I mean, part of it is like, okay, are they being anti competitive or are they just so far ahead of everyone else? I mean, that's what I've been saying since day one. All right, next piece of AI news. Well, the AI wearable that few people thought was a good idea is now reportedly looking for a buyer. So AI hardware startup Humane, which founded the Humane pin, was founded by ex Apple designers. Well, they are now reportedly seeking a buyer. After lukewarm reception of its AI device. The company has hired an investment bank and is in talk right now with potential buyers. So like I said Humane is seeking a buyer after its AI PIN device was met with a kind of tepid reception, with reviewers calling it untrustworthy and not very useful. The company did raise a hundred million dollars in funding before announcing its device, bringing its funding to over $200 million. So make sure you stick around. We'll be talking about that when and if they do actually find a buyer. All right, Last but not least, OpenAI is showing off inner workings of its Chat GPT model after facing some criticism. So OpenAI just released a new research paper showcasing its efforts to improve AI safety and explainability after former employees of OpenAI critic the company for taking risks with potentially harmful AI technology. So OpenAI has faced recent turmoil with some high profile departures and leadership changes. So this new research focuses on making the inner workings of AI more transparent and controllable. Other companies such as Anthropic, are also working on AI interpretability. So we'll have a link to that so you can read that. And another thing, well, we'll find out why Apple is going to start calling AI Apple Intelligence in our newsletter. All right, so that's enough about the AI news. But you know, make sure to go to your everydayai.com if you haven't already. So if you're listening on the podcast, we always leave those show notes if you're joining us live. I am stoked for today's guest. So here we go. Please help me welcome on the show. There we go. We have Jason Chicola, the CEO and founder of Rev. Jason, what's up? Thanks for joining the Everyday AI show.

Hey Jordan, great to, well, great to do this with you. Really excited to be here. Enjoy your show and happy to talk about AI.

Let's get after it. So I mean, tell us a little bit about yourself and a little bit about Rev.

I never sought out to be an AI entrepreneur. I kind of fell into it, maybe tripped into it almost accidentally. My story is in the gig economy. So 20 years ago I left a venture capital firm and helped to start a company called upwork, which is a labor platform where people work online. It's the largest platform where people do services on the Internet. It's a public company. And what appealed to me about gig labor is it levels the playing field. It really allows people anywhere in the world to live their dreams. Most of us are stuck in an office, stuck in a cubicle, work for a company. And when you unshackle yourself from a regular job, when you're a freelancer, and you are freelance, the word freelance comes from The Middle Ages and being a freelance with a weapon, which is not really what it's about, but a freelancer is free to do what they want. And the freelancers on upwork, the freelancers on Rev, get to wake up in the morning and decide, what do I do today? Do I work today? Do I take a hike? Who do I work for? That freedom, I think, is very powerful. It also levels the birth lottery. I've worked my career in cities like San Francisco and Boston with a lot of opportunity. What about the guys in Siberia or the folks in the. In small towns? I think freelancing, you know, remote freelancing is such an opportunity, doesn't get enough focus because we all think about the Uber driver, which is important, but what about all the geographies that can't get there? I started REV to create jobs for people, period, full stop. And what we discovered early on, we wanted to create a job where technology would be transformative. When we had early success in jobs, it takes speech to text. We have large marketplaces around transcription of audio, captioning of video and subtitling videos. All three of the services are basically speech in and text out. So you could think of REV as like Uber for typing. So why am I on this podcast? I haven't mentioned AI one time. In an effort to make those jobs better, to make those jobs more lucrative, to make their jobs more productive, to serve the client faster, to make more money for people, and to make more money ourself, we developed AI from scratch, proprietary, out of the box, to assist the worker. So our first act was to build AI to make gig jobs better. We've done that. And the byproduct of that is we've been able to produce an AI model for converting speech to text, a so called ASR, Automatic Speech recognition that is the best in the world. It's most accurate. I can prove it seven ways to Sunday. Some of the world's biggest platforms, like Vimeo and Axon, run all video and audio through Rev because of this. And our logo, which I have here on my shirt, is a stylized human ear, right? Because what does the ear do? It listens. We think listening is really important for human interaction. And our technology, the forefront of listening.

And you know, it's interesting, right, because in a way, Rev was before, right before this, you know, AI craze that we're all seeing now. And now it seems like just about all of these large language models are starting to offer some sort of, you know, transcription. So, you know, I've got to ask Your take then, since, you know, you were kind of, you know, before, you know, before everyone else, I mean, what's your take on, you know, all these large language models now offering, you know, transcription, among other things?

Large language models like OpenAI in particular have really raised the bar in the world of speech to text. OpenAI of course has open sourced a product called Whisper, which is Whisper is a good open source speech engine. There's another one from Nvidia called Canary. It's also, I think worth checking out. And what these guys have done, I mean for our business, there's two effects. It's a double edged sword. They certainly have commoditized a certain part of the market. Whereas if you have really clean audio like a podcast, frankly this podcast is easy to transcribe because I'm sitting here with microphone and sound booth and all this great acoustics. So for really clean audio that's recorded in a professional studio, the open source ASRs are pretty good. REV tends to operate in a world of kind of real world audio. Typical meeting is a much messier environment. Audio is not nearly as good. And in those environments the open source models aren't that effective. And ours really shines because we have a decade of transcribing world's most challenging audio. But, but I mean, I'll just summarize it in. What these LLMs have done is they've woken the world up to the fact that every conversation is an opportunity to convert voice to text input. And so the world, the world of transcription is growing exponentially right now more than ever before. I've been doing transcription for more than a decade and the curve on audio transcribed is going vertical, right? And AI is driving that growth because you can do it everywhere. Jensen Huang was on stage at GTC in april with like 20 robots and they all have to listen. So that's in short, how has that affected my business? There's certainly some commoditization at the low end of clean audio is not easy to transcribe with open source. But the big opportunity is everyone in every industry now is thinking, hey, this application would be more effective if I was listening. So I think there's a market expansion that's happening that's pretty exciting.

You know, you bring up a great point because, you know, even as I'm sitting here talking with you right now, I'm taking notes, right? Which I think when you're in a meeting, you know, and you have a meeting, transcription, it helps with this. But you know, I'm curious, how have you seen Meetings change or maybe how do you think they should change? Because, you know, someone like myself, I'm a former journalist, right? So it's habit for me to always be typing non stop. And then sometimes I realize, oh, when I'm typing notes, I'm not actually an active participant. How do you think, you know, this new kind of world of, you know, transcription on demand, Kind of like what you said, it's, you know, in some ways commoditizing, but that it's bringing, you know, light to how we meet. So how do you think that transcription is changing? Just meetings in general.

So first on notes. You know, I went to college in the late 90s, right? And you have 100 students sitting there taking notes, doing kind of lousy transcription, which, which really seems like a horse and bucky moment in a world of today, we're like, why are they doing that? Why don't we just transcribe it all clearly today? You know, automated transcription can replace note taking in a lot of context. To your point, we want to live in a world of connection where you build real relationships. And if I'm looking at you, I mean, you know, I'm looking at you in the eyes right now through a camera, right? Body language, like physical mirroring is important. If you know anything about human relationships, you know that it's important to connect and have those relationships, which is why being in person is better than remote, really better than a phone call. If I'm sitting down with my. You're not connecting, right? But you certainly get out of the meeting. Any good salesperson will not take notes and they'll engage the person and try to connect. But then let's go forward to why are you taking notes? You're probably not reading them later. You're probably trying to remind yourself what you're going to prompt me on. I'll tell you, I think where this is going. One of our service lines that's really floating right now is we're helping people in the legal space with say, transcribing depositions and things in the courtroom, if you're a lawyer deposing somebody else, you're asking questions now. You're not making a friend, you're in an adversarial context, trying to ask somebody tough questions, to maybe catch them in a lie or catch them in the case. And what you want the AI to do is not give you notes but tell you what to ask them, rather tell you what to say. I think note taking is really antiquated. It's going to be replaced by Automated notes in a really smart AI, if it understands your objective, going to prompt you on what you should be saying or asking next. So I think it's going to change in a big way.

How do you see that changing? Right, because it's something I think about all the time. I, I start to think about, you know, oh, our meetings even needed or do 50 people need to go. If we have great, you know, transcription technology, you know, like Rev or some of the other models that you mentioned. I mean, how do you see just transcription helping or changing how we meet?

I'm going to give you an example of one of my employees I spoke to yesterday. His name, Ryan. He was telling me that his job is to make our engineers more productive. And he's looking at what a lot of teams are doing. And he was saying he was trying to be in 10 meetings a day and he realized he was killing himself. And so now his calendar will have five meetings at one time and he attends zero of them often. And then he gets the AI summaries, which allows him to then check in with the leaders and say, oh, how's that one project doing? Is it on track or not? How can I help you with? Oh, I see you're, you're stuck on this feature. How can we help you over here? Right? So the first thing I would say, the first kind of rule of meetings in the AI world is attend fewer meetings, right? Be really thoughtful about your time. Most meetings should have fewer participants, like two or three, not 20. And when in doubt, skip the meeting, get the summary, look at the summary and then ask yourself, am I accountable for anything in that meeting? If there's an issue here, let me pick up the phone and call the guy for two minutes and talk about, hey, let's make sure that we're on track with this one thing that I need to work with you on. It's a shortcut. Skip meetings, use the summary. But I would say communicate with the people involved about the issue you care about. Because what happens is most people in the meeting attend those hour long meetings for the one minute that's relevant to them, 59 minutes that they wasted, right? And that actually creates, I would say, some cultural toxicity, right? And here's how, when you're in a meeting, is your camera off? I would say not. Good manners, dude. Right? I mean, that's not nice. I don't want to be in a meeting, like, why is somebody there? Are they, you know, are they flipping me the bird? Are they on the toilet? Like, why is the camera off? Okay. And so people do that because I joined this meeting for that one minute. Right. So we've reached a state where people use meetings in the wrong way. And, yes, skipping meetings. That's the start of more productivity.

Yeah, let's. Let's go down that. That productivity path. You know, as. As someone that, you know. Yes. I, you know, do a daily podcast, so I have a lot of audio, and, you know, so I use different AI tools, and I can see how, you know, using transcription services like Rev can. Can lead to greater productivity. So. So maybe, Jason, for, you know, those business leaders out there that aren't convinced. Right. And they just maybe have, you know, recordings of their meetings, or they're maybe in meetings all day, and they don't even record them. What are they missing out on ultimately when it comes to being more productive? So.

I'll give you an example that I used, like, you know, in the last few weeks, and then. And then I'll go from there and talk about how storytellers can use it. I love using meeting transcription to capture customer insights in a. In a more official way. Right. In business, like, when you're trying to get things done, you want to sell your ideas not with anecdotes, but with data. And how do you get data out of conversations? Summarization is a great way to get data out of conversations. The big kind of formula, I would tell you guys is that conversations are where the most important stuff happens. The most important information in your life is in conversations, and you're probably filing it in the trash can. You probably keep your. If you get a tax return, you probably can put in the Dropbox if you're a responsible person. But then you never look at it again. Right. Your files go into Dropbox, but your conversations are lost if you ASR plus LLM leads to insights. And so here's what you can do, and here's what I'll do. If I have a series of conversations with some of our customers in the storyteller space or the legal space, we run those through our software, and what it does is it distills really clearly the customers are annoyed about X, Y, and Z, and they want us to build A, B, and C. I can then show that by my teams, and they're like, yeah, we got to get that done. And now it rises above the level of one person said it yesterday. They're all saying it now. And so the job of a leader, talking about leadership, everybody can be a leader. I'm a leader of a company, but everyone in my Company can be a leader if they're leading people to do the things that matter. How do leaders lead? They communicate. How do they communicate if they're good at it? Through a story. How do you tell stories? By listening. How do you listen? With our technology in the ear. If you want to be a better leader, you communicate every day. You're creating ideas and impressions in your business. The more conversations you can ingest, you're going to find patterns. This voice AI finds patterns in the data that you can get better insights and make your case and be a. Be. Be more persuasive. That's how it helps every leader in every company.

And I feel, you know, speaking of just stories, Jason. Right. Like, that's, to me, that's what sells. That's what makes, you know, whether you're in, you know, B2B sales or, you know, B2C, I don't think it matters. My. My take is, you know, the AI and large language models have kind of made the. The average, you know, piece of text or block of sales, email commoditized. It's not as good. So, like, you really need to bring out that human side and that, that storytelling, I think, is going to be a huge skill set, you know, moving forward. So how does AI in general, and being able to capture all those conversations and like what you said, turn all this, you know, unstructured, you know, data and unstructured conversations into data and the ability to tell stories? So how does this just help people tell better stories? Right? Like, if I have all these transcriptions, how can I use those transcriptions to tell better stories? Whether it's internally or, you know, to external stakeholders.

Obviously, I'm happy you asked. So we're about to. Rev's about to release the most important product development in our history at the end of Q3, at the end of August, called Voice Hub, which is intended to be far more than a tool to transcribe one meeting, but rather a platform to take all the important conversations in your life, put them in one place. And when you go from one meeting, one transcript, which you can get out of Zoom, to everything in your life, it's so much more. Because so what people need to do, and they could do this through Rev or other places by piecing it together, is you want to remember stuff. You want to capture all your conversations, all your meetings, all the recordings you do interviews with people, dictation notes to self. At night, I walk my dog while my kids are asleep, and I dictate things I need to do. And you take all that content and you put it in one place and then what's going to happen is that when you want to make it, when you want to write a story, you have the ingredients there for you. When you want to get insights and make the case for what your customers need, what your business should do next, you have it there. If you want something to prompt you over time, what we're going to be able to develop is actionable prompts. If last week you said five times you needed to take the dog to the vet, it's going to remind you, why did you do that? I don't see that on your calendar. You said you're going to file your taxes. Have you done that? Are you sure? Hey, I just lost the image here, so maybe it'd be great if you could fire back up and see anything here. So indulge me a second. I want to just compare what we're doing to what people are seeing from big LLM companies, which are so inspiring. I mean, OpenAI is a once in a lifetime company that has really opened the world up to what AI can do. What OpenAI did that's so amazing is they taught the world the power of LLMs. But there's a couple of things about the company that I think are funky and I want to compare the impressions they're putting in people's minds, particularly through the release of 4.0, with what we're doing. OpenAI is a funny company because it's not open, it's a closed model. It's not really AGI. It's a machine learning for predicting what word comes next, which is cool. It feels like the LLMs feel like AGI. It's not quite, but it's pretty smart in a sense. When you go deeper, what you find is that because it's built for every use case and every tool, it's never.

Going to be that accurate or that.

On point for one purpose. But it's certainly provocative. Now, there's a vision, there's something that people are craving. And what they're craving is maybe best captured from the movie Her. The movie her is in people's heads. It's like Inception imprinted info, right? And so why did OpenAI 4.0 launch with a voice that sounds just like Scarlett Johansson? Because they wanted people to think about her. That's why Scarlett Johansson is suing them, because they didn't pay her for her likeness. But the movie her is deeply imprinted in people's heads. This idea of this AI is going to help me in my life. And what people can feel at their gut is that's going to happen or some version of that's going to happen. But now let me tell you what I think is going to happen. And so we're not building her per se. OpenAI is trying to build her and let you think they're building her. I'd compare what we're doing to a product that those of you who are by over 40 will recognize called Evernote. Do you remember Evernote?

Oh, yeah.

So I was big on Evernote in 2010. I went to Evernote conferences. My co founder wore Evernote socks. He wore socks with Evernote on. Okay. So Evernote, for those that don't know, is a tool. This is before audio was relevant. Put all your text in one place. And their logo was the elephant. And the logo was the elephant. Because elephants supposedly have a great memory. I have no idea if elephants have great memory. People think they have great memory. But the idea of Evernote was you never forget anything. And that's really appealing. The CEO, I saw him speak one time and he's like, we're going to be your digital brain. We're going to be your infinite memories. You never forget a thing. Okay, that's really powerful. Now think about her. How would you build her in the world of LLMs, do you want an LLM that's just sort of generic, that knows where Pete's is? You want an LLM that knows you, right? So the LLMs have this thing called a context window where it knows this much about you and the rest is generic information. If you want a great AI to tell you what to do and be more effective, it needs to really understand you. REV. VoiceHub is your context window because you put in all your information and now we're not going to tell you about random stuff in the weather. We know all about you, or this tool will know all about the things in your life. And so our view, my vision, our vision for Voice Hub is that every person has an opportunity to capture conversations in one place and then be way more effective. We decided this could be useful for anybody because who wouldn't want an infinite brain? We had to decide who going to build it for. We decided to build it for storytellers, in part because we have a ton of reporters and media folks that use our product, but in part because I'll give Steve Jobs credit for this quote that I really like. When Steve Jobs bought Pixar, he said, the most powerful person in the world is the storyteller. The storyteller sets the vision, values and agenda of an entire generation. Storytelling storytellers punch above their weight. Journalists punch above their weight. Leaders who tell stories punch above their weight. And so we felt, let's make this tool productive. So how it's going to help? Here's what a reporter can do with Rev. Every interview they conduct, they capture via mobile, via meeting, via other device. Then when they go to write a story, we're going to help them write it faster. Transcripts, summaries, and in the near future, drafts of the story. Everyone's afraid of AI content. You said in your opening, our newsletter is humans written by humans, for humans. So to be clear, I don't recommend reading articles written by AI. I don't want to read articles written by AI, But I want great articles written by people assisted by technology. So people like to talk about AI pilots, AI co pilots. Nobody says, I want an AI pilot. Right? Nobody wants the air pilot to fly the plane. We want to AI copilot with a human in charge. But I want to read article by a great journalist that used AI to help them. And so in a world where journalists are under pressure to write, so often they're not paid well, they don't have much, many tools. Our AI Revs Voice Hub is going to help reporters by giving them a draft of the story and that's going to help them be more effective. It's like every reporter gets an intern for free, but if you had an intern, that's what they would do. And that's what Voice up can do for storytellers.

Man, so many, so many. Like I could ask you like 30 follow up questions. You know, as a former reporter, I mean, we just touched on, you know, her and GPT4O and all these things. But you know, Jason, what, what, what I want to get to and what's interesting to me out of all of this is, you know, you're talking about, you know, Voice Hub and you know, you brought up this, you know, example of the Evernote CEO talking about being your digital brain. I think, and this is maybe just a hot take, but I, I, I want to hear your, your thoughts on this, right? For me, you know, when it comes to AI and jobs, right. When we talked a little bit about this yesterday, you know, I do think that there's going to be a lot of displacement, you know, ah, this isn't what the show's about, but anyways. But I think, you know, people always talk about upskilling, reskilling, and you know, how can you Keep your best employees and, and what should they be doing? And my hot take is something around something like Voice Hub. I think that there's going to be an increase for employees to capture all of this internal information. I think in the future, you know, we're not going to be relying on, you know, a large language model, 90% of it, and then using 10% rag I think it's going to be the opposite. So, so, I mean, what's your thought on that? You know, just in the future, you know, are we going to see a lot more emphasis on big companies, small companies, Fortune 100 essentially having internal data collectors and storytellers who are just having conversations? Right. I was just having you working with a huge company and talking about the same thing. Do you see that happening and just, you know, services like, like Rev and other transcriptions being an integral part of essentially collecting a company's internal IP and that secret sauce and putting it all into like a hub for everyone else to work with.

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I think the key answer is that whenever there's technological change, the winners are people that embrace that technology, use it and run with it. If you ignore the technology or an ostrich put your head in the sand, you're not going to win. I got to college in the late 90s and I was in college where the Internet was happening. And fast forward 10 years later, I'm in the workforce and I'll mention something a little bit spicy that everyone's seen. You're looking at resumes. And somebody applies for a job in 2010 with an AOL email and somebody, the team goes, oof. And they literally say, can they use the Internet? They ask that question, okay, may or may not be a fair judgment for folks with AOL email accounts, but there was an understanding by 2010 that using the Internet was really important and you needed to do it and embrace it to be an effective part of society. Right? And so every cycle where there's new technology, certain jobs go away, many new jobs created. Nobody can totally predict the jobs of the future, right? But I would predict that there's going to be tons of people that are crafting stories and insights to make decisions and they're using AI, a pipeline of AI tools to make them more effective. What I'll tell you, maybe all go to bright spot here because people ask this question with fear of, oh, our job's going to go away. I'd flip it and say, you like taking notes? Do you like grunt work? Does any internal transcribing? We serve folks at market research and their job is to go and say, which guy are you going to vote for the election based upon your views on the economy, the board, or whatever. And those market researchers spend half their time digesting notes and summarizing what people said. If the AI does that well for them, they could do much more higher value added stuff. When the AI does the shitty parts of your job, your job gets better and you got to embrace it. And it's a lot more fun to stand on the shoulders of giants and use tools to do more work in less time. It's like you have a staff behind you and you can do it on your own. I think it's pretty cool.

I mean, geez, if that wasn't just like the biggest get up and go do something, you know, powerful, something meaningful, you know, stand on the shoulder of giants. Stop doing all this groundwork. Love to hear it. So just want to get to one. One question here from our audience, Jason. So Cecilia kind of asking, you know, so saying, you know, agrees with the toxicity of meetings sometimes, but how do you capture the benefits of meetings and building relationships if you skip meetings and reduce participants? It's a great question from Cecilia there that I wasn't even thinking about. You know, we have this example. If, you know, 100 people are generally going to a meeting and it's an hour long, like, do you need that? Right? But if you only send 5 people and 95 note takers, what happens? So how can you find that that delicate Balance. You know, Jason, of still, you know, being able to leverage technology, you know, your, you know, your kind of call out there was, what if you only need one minute of that 60? So how do you find that balance between, yeah, using AI and transcription tools, but still getting that, you know, looking you in the face, body language, making a connection. How do you find that balance?

Cecilia, great question. Thanks for riffing on it. I would say a meeting is, to me, a meeting is sort of toxic. If I have 20 people in a meeting, two cameras on, eight cameras off, right, that's an unpleasant meeting. I'm talking. I have no idea who I'm talking to, how they're feeling or why they're even there, why their camera's off. That's not ideal. What would I rather do? Let me be human for a moment. I'd rather not be in a zoom meeting, to be honest. I'd rather be sitting around a table with a handful of people having a real conversation, joking, laughing, a little small talk. Maybe we get some food, maybe we get coffee afterwards, little chit chat, human connection. A little bit of personal interaction, a little bit of, how are you feeling? People being revealing and open. So my answer is, meetings are quality over quantity. Quality has. What are the things that you value when you sit around the table with your family? It's like a smile, a laugh, somebody caring about you, somebody asking real question. The meetings are much better. Here's the litmus test. If someone's in a meeting, they don't say one word and their camera's off. Why are they in that meeting? That meeting is better without them. So I think human connection is deeply important. If I work 40 to 60 hours in a week, I don't need to do 27 meetings. Maybe I might actually, but I probably shouldn't. I'd probably be better off doing 10 meetings in a week and having them be real human connection. I would focus every meeting on when you interact with your family. It's probably not through zoom. Probably good things happen through that interpersonal relationship. But I would try to bring basic relational skills. Your meetings at work have fewer of them and if you do it right, what's going to happen? Just like we have an office and I believe in coming to the office, and I'm in the office right now in Texas, and I believe that when employees walk out of a meeting and they walk over to get a cup of coffee after that meeting and they chat for two minutes about what happened that meeting, that might be more important than the whole meeting itself. It's the little human connections that matter. And so I'd say optimize for human connection. Fewer people engaging, talking, body language and camera off. No, no talking. Get him out of the meeting.

Love. Hey, love that. And you know what? Probably that person that said zero words didn't want to be in that meeting anyways. Right? Like, like how, like how we started the show is. It's like there's. There's too many meetings. Zoom fatigue. And yeah, I mean, I'd say the majority of people don't want to be in the meeting anyways, so that's a. That's a good call. Out. All right, so we've talked about literally so much in today's conversation, Jason, you know, I mean, from LLMs, and you know how you and Rev were kind of ahead of this whole trend to even how this may impact, you know, transcriptions and generative AI, how it might impact the future of work in meetings. But, you know, as, as we wrap up, what's. What's your one biggest takeaway for people, you know, that they can really use this, you know, and to be more productive and to tell better stories. What is that one piece of advice that you really want people to leave with?

Look, my macro advice for all followers of your show is to try the AI tools, play with the tools and see what works for you and to experiment with them. Like, if you want to use ChatGPT, work on prompting. Learn how to do better prompts, like play with the tools and try to make them part of your routine to be more effective as it relates to the power of voice and conversations. There's a lot of tools you can try. We're launching our new platform. Most important release in our history, Lake Q3. Users who want to try it can go to rev.comwaitlist rev.com waitlist and we'll give you free credits for a free account. And we'll probably invite many of you to the beta. So if you want to try platform for getting all your conversations making you more productive, Rev.com waitlist something you can try. I would tell people, just tomorrow, look at your calendar, look at all these meetings and get rid of a third of your meetings and see what happens. Right?

That.

That'd be. That'd be the thing that I would act on today. And I think you'll have a better week next week.

I couldn't agree more. Let's. I'm looking, I'm looking at my calendar next week, and I'm like, oh, which ones can I get rid of? All right. Well, hey, Jason, thank you so much for coming on the Everyday AI show and sharing your insights. We really appreciate your time.

Jordan, thank you. Pleasure.

All right. And hey, as a reminder, y' all like a lot of great information there. As always, our guests are just bringing you the heat. This was a game plan, right? And you have to be able to look at the game plan and put it into action. And that is what our newsletter is all about. So if you haven't already, go to your everyday AI.com Sign up for the free daily newsletter if you're joining us on the podcast. Hey, I know I got fat thumbs. I don't want to type that in. We have that in the show notes. Make sure you check that out. If this was helpful, please let us know. Share this Tag someone who needs to hear this message. And we hope to see you back next week and every day for more Everyday AI. Thanks, y'.

All.

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