EP 137: Writers and Content Creators' Future Role in a World of AI

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What's the future of writing and creating content now that we have these generative AI systems that do it so quickly? It's honestly something I think about all the time. You know, I've been getting paid to write for 20 years. I was a former journalist and it's something as we see developments and generative AI in the type of writing and content they produce, it's always important to think and talk about the future. And that's exactly what we're going to be doing today on Everyday AI. So welcome. My name is Jordan. I'm your host and this is your daily livestream, podcast and free daily newsletter bringing you the absolute latest and greatest and what's going on in the world of Gen AI. So this isn't just about learning and hey, here's all this stuff that's going on, but it's we break it down and give you practical and tactical advice on how you can actually use what we talk about to grow your company, grow your career. All right, so a little bit different, a change up today, we got to spice it up here on everyday AI. So not everyone can, can do a 7:30am Central standard like time zone. Like that's early for a lot of people, especially if you're in different, different city, different state, different country. So this is still going to be debuting live, don't worry. But it's actually technically pre recorded. Hey, we won't tell anyone if, if you don't, right? So with that, I'm excited. If you still want the AI news, don't worry, just go to your everydayai.com sign up for the free daily newsletter. We're gonna have the Daily News, so don't, don't worry. You didn't forget it. It's just in a different spot. So let's talk now about the future role in a world of AI. How are we going to write content? How are we going to create content? So I'm not on this alone. I'm very excited to have our guest for today. Let's bring him on and welcome him to the show. Matt Thomas is the owner of Perfect Pros Writing and Editing. Matt, thank you for joining us.

Thanks, Jordan. How are you doing man?

Oh, I'm doing fantastic. So Matt, just tell everyone, just real quick a little bit about what you do with, you know, perfect prose writing and editing and maybe a little bit about Your, Your background as well?

Sure. I'm the owner of Perfect Prose writing and editing. My background is kind of all over the place, but it's. I've been a writer for the past 13 years. I've worked as a technical writer, a copywriter, professional editor, and most recently last year, content creator, especially LinkedIn. So, yeah, obviously I've got a kind of a varied background in writing that's pretty excited about the impact of AI.

Yeah. And, you know, I'm curious about this, Matt. What was. Because I remember, you know, I talked about at the top of the show, I've been in the, in the writing space, you know, give or take for, you know, 20 years. I remember my first reaction to seeing the GPT technology. I think it was either late 2020, early 2021, when GPT3 was first released through other commercial products. And when I saw it, I was like, wait, what? Like, do you remember the first time that you saw like a generative AI system? Like Create Copy. And if so, like, do you remember, like, what your reaction was?

I mean, it was not long ago, man. I only started really using it, like, I signed up for ChatGPT last December, but just, I mean, as soon as it kind of hit the, like, the market on a bigger scale, everyone was talking about it. Right. And I was. It was actually one of your posts that kind of got me. I think it was either last year or like, like early this year where you were talking about, you know, I've been a writer for 20 years and it pains me to say this, but, like, I think a lot of writers are going to get replaced by AI if you don't start learning to use and work with it. And that kind of lit a fire under my ass. I was like. And then once I started playing with it, I was like, this is pretty cool.

Yeah. And let's, let's maybe even we'll do it a little differently today too, Matt. Let's, let's skip to the end and then we can, you know, go hit rewind. But you know, when we talk about even the future role of writers and content creators, I mean, what do you think that is? I have a lot of thoughts, but I want to open with just like, what is it going to look like in the future for writers and content creators? Let's skip to the end.

I mean, I think in the future the most efficient, most effective writers are going to be able to leverage AI and like, work with it and know how to use it for different purposes. I mean, the thing is, I think that like, a good writer who knows how to work well with AI is just like more efficient and can be more effective than a, like a good writer who can't. And I think that it's still a solid writing background and skills are still valuable. Right? It's like, like I'm a musician too, but like, if you put someone with no musical training in like my studio or sit them down at my drums, they're not gonna be like, you know, I mean, like, there's technologies I can use, like samples and loops and stuff like that or plugins to like expand what I'm doing. But I mean, I think having the skills, the. That base to begin with definitely gives you, like, makes you more effective.

Yeah, it's. Yeah, I, it's actually such a great point because maybe even I personally overlook that aspect of it, of, you know, being a writer by trade, how much that actually helps, you know, once you jump into any generative AI system, maybe even talk, Matt, a little bit about like your learning curve, like, was it easy for you to start using? You know, I'm, I'm guessing you're using, you know, tools like Chat GPT or something like that, but I guess what was your learning curve like? Was it maybe a little easier than, than average maybe because of your writing background?

Yeah, I think so. Like, I mean, the thing is, I think that was good about when I started using is I didn't really have any expectations or I wasn't like, I need to. I just started playing with it, you know what I mean? Which I think is probably the best approach and then just playing with it consistently. I mean, I wasn't super impressed by the written output of GPT and I'm still not particularly impressed by it, but I mean, there's ways I'm getting better at prompting it. But just, yeah, just playing with it and just being like, this is, this is pretty crazy, like how you can just frame things in different ways and how you can just add different context to shape your responses and. But yeah, I mean, I remember, I remember being like underwhelmed by the actual like out copy output, but more just like that was the least interesting thing about it to me. It was more the creative possibilities with it.

Oh, I love that. You know, looking. Yeah, because. And, and we'll, we'll talk about that a lot. But the creative possibilities, I think within Chat GPT, especially, you know, know, Chat GPT when you use plugins, is endless. But I want to go back to something you said there because I'm, I'm interested and I want to dig in a little bit more. You know, you said that you were underwhelmed with the, the, the quality of the output. So, so maybe like esp. Especially you, right? Like, so you have a, a background in, in technical writing and you know, we'll include this in the show notes. Matt actually puts out great content on LinkedIn. He's always like, comparing and breaking down writing to like, very, very, like, meticulous level. Right? Like, word order, number of words, cutting the fat, all of that. So I want to dig in a little bit deeper into the words and into the output and the quality. So maybe in your experience, when you say you're underwhelmed with the output of what you're getting out of ChatGPT, maybe talk about that a little more. You know, maybe what's some of those things that you're like, ah, it could be better here.

I mean, especially when I, when I started prompt, I didn't know. I had no idea what I was doing. Right. Like, when I started prompting it, I was just putting in just. I mean, I was impressed by it at the time, but now looking back, I'm just like, okay, yeah, that's. But it's like anything, like you said, there's a learning curve, right? Like, I mean, I've, I've been using it, I use it every day. Especially like, as a content creator. It's been a godsend in being able to put out content consistently. But yeah, like, I, I just, I just. How fluffy the language was. Right? Like, just. It's not, it doesn't write in a way that's, that's my preferred kind of tone. So. But again, like, like, I don't think I've ever just. I've never just copied and pasted the output of anything and like posted that as a post just because, like, it's just. I mean, sometimes. But where I do find it helpful is like, I really like using it as like a second opinion or like an assistant. That's something, because it's, it's almost like having a writing partner or just like an objective person to bounce ideas off of, which is something I find helpful. Especially, like, if you're a writer like me who can get like kind of into the details and the nitty gritty and just like this word or this word, like, I can't decide. Like, it's just one word. But like, I mean, all those details add up, so I need like a second. Yeah, I like having that. Like a second opinion, basically.

Yeah. And I'm gonna go ahead and reframe this and. And let's talk about it a little bit more. Because, Matt, like, what you said there, I think that's where so many people, one, they either give up on Chat GBT when they see the output's not that great. So it's great to hear and into for other people to hear your advice. That's saying, like, oh, no, even though I was maybe not, you know, super impressed by the output originally, I still kept going at it and found, you know, maybe other or better use cases for your particular, you know, role. But one thing I want to talk about is a lot of people think of even ChatGPT as an extension of their selves, which it absolutely can be. But one thing I like to tell people is think of Chat gbt. And you kind of referenced this here, Matt, is think of it almost as. Not just a second opinion, but I always like to tell people think of it as an outside entity. So instead of collaborating or having this, you know, be 10% of your work or 50% of your work, you be 100% and have chat GBT be 100% and treat it as a completely separate entity, you know, so. So maybe talk a little bit more about that approach. I'd love to hear.

No, that's, that's. That's actually probably the best way to describe it because I've just conceptually, I've never really looked at it as a replacement for writing, for my writing. So, like, I think that is actually probably the best approach is like, I'm. I'm still going to write it. I'm still going to put it 100% of it in. And that's like, one thing I think as well is when you come at it with, like, a strong idea, like a strong initial idea, I find, and then use it to kind of refine that, I find it's more effective. Like, that's. And that's the best way to put it is that, like, it's. I think it's least effective or you're not really using it to its full potential or, well, if you just see it as a replacement for having to write. But like you said, like, if you're coming at it 100%, you're going to put the effort in. It's a great way to kind of amplify that and to, like, enhance it.

Yeah, absolutely. And again, I'm going to keep digging down here because we actually have some great resources and other shows that go along with this. But I am here curious, and this Is obviously, if you're listening, this is two very like wordy people, right? Like two, two people that, yeah, love the words but maybe even, you know, with, with some of your disappointment in the output, is it just kind of like, hey, does it sound too robotic? It sounds like too run of the mill. Or maybe it just doesn't sound enough like you. Or maybe what is that thing at least right now with where you're at that you're like the output, at least for me being a writer, technical writing background, that it just doesn't stack up.

A lot of times it's just too, too fluffy, you know what I mean? Like, and, and I'm. One of the things I've done like recently that's helped a bit with that is adding custom instructions to GPT4. So like kind of giving it some constraints. Like here, here's my background. Like I'm a LinkedIn content creator. I'm also like a writer, an editor, you know, don't limit things. Like, it loves rhetorical questions, doesn't it? You mean like so like a lot of those, like don't ask rhetorical questions, keep it at around a seventh grade reading level, don't use more than, I don't know, 12 to 15 words absolute max in a sentence, that sort of thing. So just trying to make. You're right, like it's, make it sound more like me, I guess when I, when I read it like, or when I read the output a lot of times that is, that is kind of what I find is that it just doesn't sound like my tone of voice or the way I would write something.

Yeah. And, and for those of you joining us here on the live stream, so you know, Matt's talking about custom instructions, which I think there's great, great pros, but there's also some cons. So essentially, you know, like he was saying, so instead of having to do a little bit of training each time you start a new chat and chat gbt, you can essentially tell, you know, hey, so the kind of the two different boxes where you can say what would you like ChatGPT to know about you to provide better responses? And you can write about 1500 characters there. And then also how would you like chat GPT to respond? The same thing. You can put in about 1500 characters. So is this something that, that Matt, you, at least in your use cases that you, you're finding custom instructions helpful?

Yeah, I think so. I think it's just most helpful to provide some background, some context. I mean I can see Though if you write, you have to write in a bunch of different tones of voice. Like, I have a friend who's. She's. She's an SEO blog writer and she frequently has to use different tones of voice. And it's. That's one of the reasons she doesn't kind of like the custom instructions, because she's not just writing one way, whereas I tend to write in one style. But yeah, definitely, that is one potential downside, I think, if you have to vary your tone a lot. But I mean, I find that regardless of what I'm writing, I tend to write kind of the same way, for better or worse. So, like, for me, it is helpful and just like, yeah, context. Like, even the other day I prompted it, or I was, I was asking it just. I was just asking it something and then it was just like, oh, given your background is. I was like, how do you know I'm a LinkedIn? And it was like, you're custom. I was like, oh, yeah, I forgot that. I didn't realize. It just was just a reminder. It's referencing that context in any of your interactions with it.

Yeah, it is. And I think, you know, in Matt, in your use case, that's. It's perfect for that, right? Like, custom instructions. Personally, I'm not a fan because I use Chat GPT for just about literally anything and everything you can think of. So sometimes those custom instructions, if you use Chat GPT all over the place, it can actually be like, wait, wait, why am I getting responses all like this that are not really, you know, you know, in line with. With the prompt? And that can kind of be the reason why. But, you know, speaking of prompting, Matt, you know, kind of this, this term that's floated all over the place now is prompt engineering. And I make fun of the term a little bit because is it a real thing? Yes. But all prompt engineering is, to me is knowing how to properly work with a large language model and getting the most out of it. But maybe even with your background as a writer, did you find prompting easier? Like, were you all of a sudden like, wait, my writing background? Hey, maybe, maybe AI is going to take some writing jobs, but I can really get in and use Chat GPT and these large language models at a whole nother level. Just because of my background in writing, yeah.

And that's actually something I didn't really. That's actually just something that's kind of occurred to me lately is that, like, as I've been digging into more kind of prompting, I'm like, I'M taking some course. I'm taking Rob Lennon's AI Content Reactor course right now. I signed up for your prompt polish course as well. But like, yeah, like, as I was like reading some of this stuff in the AI Content Reactor course, I was like, well these. He was talking about like the characteristics or the principles of good prompt writing. I was like, well, these are all just principles of writing well. So like using specific, clear, concise language. Using language and kind of orienting your prompt, aiming it at a specific purpose or goal. I find same with like a con, like with content. Like some of my best posts are ones that start with like a strong initial idea and I just like run with it. Same thing with prompts. I find my typical use case is to come at it with an idea already. Not to just kind of try and not to use it to try and think of stuff because. But I find that that's more effective. Like when you come at it with a strong idea and then have it expand on it, it already has kind of a direction to go and you're giving it some kind of some constraints and shaping that response. Also something else I like to do in my content, but like using examples or analogies to illustrate my points clearly. Same thing with prompts and just really minimizing. You got to think of it as stupid, right? You got to think it doesn't know anything. You want to be as explicit and as clear and minimize ambiguity as much as possible. And I guess for me personally, one of the advantages that my technical writing background gives me is I'm really used to like writing in a structured, clearly organized way. Like pretty much everything I write, even if it's just like an email or something quick, I'll write like even if it's just hand write a quick outline. Just because I like to have it organized in. I've found that Chad GPT really loves outlines, especially when they're kind of like structured and you break stuff down in like a well organized hierarchical fashion. So yeah, like I think that that, that is one inherent advantage that writers have when it comes to prompting any large language model.

Like you said, it's, it's funny Matt, because you said something there. You're like, oh, like prompting.

I just read this book recently. Great.

Yeah, prompting is essentially writing well. You know, it's actually one of my favorite books on writing, so I'm sharing it. You know, if you're joining us on the podcast, throwing it up on the screen here.

Excellent book. Highly.

Yeah, it's called On Writing well by William Zinser. And this is like, it's funny because I like this book was originally from the 70s and you know, they updated every decade or so.

Yeah.

But like this could literally, you could just put some duct tape on this and say prompt engineering 101, right?

Yeah, you totally could actually, because that's exactly what he talks about. Those principles of writing. Well. Right. Like clear, use precise language, minimize ambiguity, use examples and like analogies. Like, yeah, great book.

And, and you know, some. I'm also curious, Matt, even, even for you personally. Right. Because, you know, I, I have, I have an agency. Right now we're mainly focusing on generative AI, obviously. But even with your background in technical writing and now this like newfound understanding of, hey, I'm a great writer, I can translate that to generative AI and probably get way better outputs than the average person. How has that even changed or shaped your outlook on your career? Or has it? Yeah, not yet.

I mean, no, it's definitely like, especially lately. Like, I mean, I think that, I mean, AI is the future, right? For better or worse, like it's coming and I think that. But, but I'm also like, excited about it. Just like the creative possibilities, like, it's just interesting. Like it's just cool. And it also just feels like a space where there's a lot of like. Like it feels to me like I could come up with something new or innovative because it's like wide open. Right. Like it's so new that like nobody's. I mean there's experts in it, but like. Right. That what they're an expert in is constantly changing and the entire world, but it's constantly changing. So it's definitely like. I mean, I'm really glad that I kind of made the jump on it when I did. And I'm telling everybody I know, like, this is the future, man. Like, and it's just efficient if you're creative and kind of lazy like I am and you want to do things in the most efficient way, like AI is awesome.

Yeah, especially. Yeah, especially when you can like refine those outputs and get them exactly how you need them or how you might want them. You know, Matt, you said something there and it got me, got me thinking back to my kind of initial learning curve. Right? So, you know, GPT3 kind of the base technology was, was rolled out in a bunch of other, you know, third party softwares before chat GPT. So you know, some early ones were like copy AI writer Jarvis, now called Jasper. And at least for me, I had this weird feeling where When I saw the output and I worked with it a little bit, my background as a writer almost felt like threatened. Like, wait, what? Like, this is pretty good. Have, have you ever felt that way yet? And if so, maybe how, how did you respond to it? Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on gen AI. Hey, this is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft and Nvidia have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen AI. So whether you're looking for ChatGPT training for thousands or just need help building your front end AI strategy, you, you can partner with us too. Just like some of the biggest companies in the world do. Go to your everydayai.com partner to get in contact with our team or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on gen.

No, not really. Like, honestly, like, maybe I should. Like I said, you scared me last year with that, that post, but that was like a good thing anyway. But no, I don't, I'm not really threatened by. But the thing is too, I think that's important to remember is that like people like you and me, like, we're using it every day and we're in this world, but like there's so many people who haven't even like, like, even the fact that I use it so much, I don't consider myself an expert by any means, but consider compared to probably like a large percentage of the population right now or even people my age, I relatively am an expert, even though I don't think of myself as one. No, I didn't feel threatened. Maybe that's my own hubris, but I did think I was like, this is going to replace a lot of mediocre writers. Like that, that was kind of my first thought. Like a lot of like, kind of mediocre content writers and like blog writers and stuff. Like that's why I think you need to have like, like other skills. And I guess the good thing is that my background, I didn't just do one thing. Like I kind of have like copywriting and technical writing and like, so it's a bit more of a holistic approach to it, I guess. Like I'm not just doing one thing that can be replaced. So.

Yeah. And it, it is worth mentioning. And again, Matt's content is great. We're going to have a link in, in the show. Notes to, you know, follow. You know, I, I know you're like, same thing with me. You go through ebbs and flows. But he has so, so Many great know PDFs, carousels of, of just the very highly technical nature of writing in general. But I think you also did, I'm trying to remember, Matt, you, you, you did like the. Is this like, like which one's better at editing? Like a human or AI, Right?

Yeah, that's right. Yeah. Yeah.

What was, what was, what was kind of the general takeaway from those early experiments because yeah, like you kind of broke down, you know, long, kind of extra wordy, you know, sentences or paragraphs and you went through, I think and cut them down. And then you also use like AI, Right.

Yeah, yeah. So I used a software called Unfluffer to kind of. Yeah, so I had a. Basically a big long, wordy phrase and then showed the original and then two edits, one me one versus the computer. But didn't tell you who was whose. Kind of had people go through them in the carousel, decide which one they like better, and then revealed who is who. So man. Man 4 AI1. That was the final score.

Man 4 AI1. All right, so AI didn't get blanked out, but, but human crushed it.

Yeah, human prevailed. For now.

We're still there. Hey, humans. We're still there. Although, you know, actually speaking of that, I've actually wanted to do this where I partner up. Who knows, maybe, maybe I'll do it with you or someone else I partner up with. You know, a great writer, a great creator. I use AI to write post as them and then the human rights and we put it out there and we.

Have idea, yeah, maybe we'll do that.

Maybe we'll do that and not tell anyone. So, okay, let's, let's get away from writing because not everyone out there is, you know, reading William Zenzer like book twice a year.

Like, like not everybody's nerds like us.

No, not, not, not everything. So let's, let's talk like creativity a little bit. So, you know, obviously I think one of the things people always think about chat GBT is oh, to help me rate write better content. But a lot of people either aren't Very good at it, or they're not good at getting better outputs. But what other use cases specifically like, have you found that are super helpful for you? Maybe some creative use cases that aren't just like, hey, write me a blog post on this. Like, what are you finding real value in as a writer specifically for these creative use cases?

Well, it's funny because like, that's actually like the writing is like. Like, I don't think I've ever just really used it to like write me like a post. But my, my primary use case for it is like, I really like using it as like a second opinion, like somebody to bounce ideas off of, like a writing partner. So a lot of times if you, I mean, especially if you're somebody like me and you, like, kind of like are, you know, really in the nitty gritty about the details of writing. Like, sometimes it'll come down to like the same sentence, like framed two ways, but like two words are different. Or is this word better? Is this word better? I like to use it like as an interactive, like a virtual thesaurus like that you can interact with. So like, which one of these words fits this context better? Because sometimes it's hard to decide, right. And it's like, it's nice to have like an objective outside opinion, especially when you get like too attached or you've been spending too long on something. Yeah, like, like I said, the second opinion, like an assistance expanding on an outline. Like I said, a lot of the times I. I start with an outline, so. And Chat GPT loves really structured outlines. So I'll type up an outline and I'll feed it into GPT and I'll break down like the sections and all the sub points and stuff like that. And I find with a really structured. By structuring it really clearly like that, the. It tends to provide better outputs in terms of ideation and talking points, finding different ways to frame an idea. So like, if I have an idea for a post about this, how are like some ways I can frame it in a way but make it relevant to my audience, like in a way they'll care about. Even last week, like for my newsletter I put out, it's kind of exploring the parallels, like I'm a musician as well, between drumming and writing. So that was, that was kind of something like I had the initial ideas, but I just some of those talking points, like the sub points with ChatGPT I wanted, I. I fed that outline in and had it expand on the ideas a bit.

So yeah, and, and it's it's funny because this goes back to what we were kind of talking about earlier is, is thinking of, you know, Chat GBT almost as an outside entity and as a second person and not as an extension of yourself. And you know, Matt, you, you mentioned the, you know, the prime prompt polish, the PPP course, and I was actually shocked early on when I was really applying even my writing background to prompting and, you know, kind of like, you know, quote unquote prompt engineering. Like, if you tell Chat GBT to almost work outside of you and to, to, to pick apart your ideas and your strategies in your writing, there's things like you just said, like you're, you're, you're a professional musician and a professional writer, and it was creating parallels that maybe you weren't even thinking of. Right?

Yeah, yeah, but like, yeah, and actually that's another one too is like analyzing my writing, like, what's good about it, what's bad about it? Like, especially what's bad about it. Or like, if I'm like, is this too long? Like, you know, I mean, what could I cut here? Like, what's, it's. It, it's it helpful to kill your darling sometimes? Right? It's like an objective, objective outside hatchet man to come trim all the fluff away.

Oh, I love it. But I'm also thinking of Matt just like a fluffy giant robot with an ax, you know, coming to chop down. Yeah, yeah, cutting, cutting all the fat from our wordy pros. Okay, so Matt, we've covered literally so much. We've, we've talked about, you know, what you think the kind of the future is going to be for writers and content creators with AI. We've talked about how being a great writer to begin with is going to lead to better prompts and even talked about a couple, you know, creative use cases using Chat GPT outside of writing. But maybe for someone else who's listening to this, who's kind of in your shoes, they're like, hey, I'm a great writer, but I haven't maybe gone all in yet. Or I'm only, you know, dipping my toe in this whole generative AI thing. What, what maybe piece of advice might you have for them or maybe a takeaway that you want people to, to leave this show with as they try to better leverage generative AI.

Yeah, sure. I mean, I think a couple things I would say just start, like, just start playing with it and don't have any expectations because I find that's the best way to learn is just experiment with it. Like, don't just rely on it for the written. I mean, I think if you're a good writer, like, you're gonna have certain standards anyway for your writing. But play with it. Yeah, hopefully play with it, explore it, and, like, find just figure out ways to use it that aren't obvious necessarily, because there's tons of useful ways. And I think the other thing is too, that we're so overwhelmed. Like, there's so many AI tools all the time coming out every day. I think just pick one or two and just start, like, learning them. Like, you don't have to learn every tool. Pick one or two. Get and like, develop the basics, like, now. I mean, I pretty much just use chatgpt mid journey on fluff for a couple others. I know I'm not like you. You. I remember when we had met, you were just like, you have a subscription to like, 20 of them.

Yeah. Too many. Too many.

But now, like, I think that I've used it enough that, like, I think I understand the basics of it. That, like, if I. If I pick up another one, like, I think, I mean, obviously there's going to be variations and maybe a different. But I think I know how to prompt a large language model now. Right. Like, those basics. And actually one of the one more takeaway, actionable takeaway. And this actually came directly from you, Jordan. From, like, that when we met that time. And I don't know why I wasn't doing this before was start a prompt library. Like, a document. Like, that was like, after I was like, why am I not doing that? As soon as we had our call, I started one. And because that's what you need is, like, when you come up with something good, put it in there. Everyone's giving away. And actually, even for my newsletter, that's what I did. I gave away, like, my prompt library with like, eight of my best kind of custom prompts that I developed for content. Because, like, everyone's giving away prompts, but what people need is, like, one central place to put them all and refer back to them. So, yeah, those things play with it, learn the basics, pick one and just sort of like, start small and focus on it and get good with that and then try and apply those principles to other AI tools and start a damn prompt library.

Get it going. My gosh, so, so much good information there, Matt. I love how we wrapped it all up. Just very actionable steps on how people, whether they're great writers or not, I think we can apply those steps to just about anyone, Matt. This was a great conversation. I had a great time. Thank you so much for joining Everyday AI Live.

Yeah, it was great. Thanks, Jordan.

All right. And hey, as a reminder. As a reminder. Yeah. You can still get your AI News. We didn't, we didn't share it here live today, but make sure you go to your Everyday AI dot com. Sign up for that free daily newsletter. We're going to have the AI News, everything else that's to going, going on. And we're going to break down more specifics on exactly what Matt was talking about. If you couldn't, you know, write fast enough, all the notes, don't worry, we got you. Thank you for joining us and we hope to see you back for another edition of Everyday AI. Thanks, y'.

All.

And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going for a little more AI magic. Visit your everydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.