Bryan McAnulty [00:00:00]:

Have you noticed that the more AI content we see online, the harder it is to know who to trust? Today's guest, Anna Nadeina, believes that in the AI era, staying human is not optional, especially if you want to grow a high-ticket business. Anna is the Head of Growth at saas.group, a company that acquires and grows successful SaaS businesses. She leads brand, content, marketing, partnerships, events and more, helping SaaS companies grow in a sustainable way. She's also the host of the saas.unbound podcast where she has interviewed SaaS founders and experts across more than 250 episodes, learning what it really takes to build, scale, and sometimes sell a software business. I know that many of our audience here, you may not be building software products, but you may be building something online. And I'm gonna talk with Anna today specifically about how software as a service, coaching, and even services like agencies are kind of all converging on this new idea of services as software and what that means for entrepreneurs. We're also gonna be talking about why trust is becoming one of the most valuable growth strategies in business, how founders can use AI without losing their human voice, and why relationships, community and peer-to-peer networks still matter more than ever.

Anna Nadeina [00:01:04]:

First time I heard about ChatGPT, probably the podcast era is over. Now we're going to have AI hosts. And I was like, oh, you know, this machine is going to take my job. Just to test it, I actually went on a podcast where it was AI host. And then I came out and I was like, no, nobody wants to go to an AI host. It's laughable because of trust, because of people eventually want to interact with people.

Bryan McAnulty [00:01:37]:

Welcome to the Creator's Adventure, where we interview creators from around the world, hearing their stories about growing a business. Hey, everyone, I'm Bryan McAnulty, the founder of Heights Platform. Let's get into it. Hey, Anna, welcome to the show.

Anna Nadeina [00:01:56]:

Hey, thank you for having me.

Bryan McAnulty [00:01:58]:

My first question for you is, what would you say is the biggest thing that either you did or are doing that has helped you to achieve the freedom to do what you enjoy?

Anna Nadeina [00:02:06]:

Oh, God, that's a good one. So I think the biggest thing is just figuring out what I am and what I enjoy. So basically what I mean by that is that I think I always wanted to kind of be out there and in a way to show off what I do and what I like and how I think. But, you know, maybe it's a cultural thing. I was always like a bit too like, oh, no, don't go out there, don't, you know, showing off is not good. Girls don't do that. And I was always kind of keeping it to myself. And lately, I think four or five years ago, I started getting these opportunities.

Anna Nadeina [00:02:50]:

And honestly, I'm super lucky to be getting them to create a brand, to actually do a little bit of that on social media with building brands, with building products. And I thought, hey, you know what? Every time I am myself, there are more and more people coming into the network and more and more people kind of, you know, my kind of people that want to listen to this. And I said, wait, well, that's not what my mama said, but it's working. And yeah, once it kind of stopped, you know, trying to push it down and trying to be, you know, politically correct or whatever you want to call, all started coming together. And I mean that in, you know, in my career, in my network, in my creative life, in my personal life, you know, you choose. But, yeah, okay, I'm rambling. So finding your own voice, I think.

Bryan McAnulty [00:04:05]:

Yeah, I think that's important too. And I've talked about this with other guests on the show as well. I'm curious, what do you think about. Because, like, I think this is something that many people realize. And for me, in some ways, it was something that, like, there was actually, like, a maybe distinction of, like, I get this, I'm hearing this. I think I am doing this to, like, I'm truly doing this. And I wonder what your thoughts are, because I think sometimes maybe we are maybe, like, apprehensive about doing this because we feel like, okay, maybe are we going to alienate what our actual audience is or is there actually an audience for the way that we are? In some ways.

Bryan McAnulty [00:04:50]:

But I think that might. Any thoughts around that might be around that just because, like, the people immediately around you in your neighborhood or workplace or whatever are not exactly like you. That doesn't mean that there isn't millions of people out there that might be like you or resonate with you.

Anna Nadeina [00:05:08]:

Absolutely. Oh, my God. I mean, easiest thing to do, I think, go to Reddit and type the most unhinged thing that you've ever thought. And there probably will be a thread where people are raving about it and you won't be alone. And obviously, yes, you will alienate people. And, like, I recently started posting, like, you know, just a talking head kind of videos. I did them on LinkedIn as well, but I started on TikTok, partially because there's absolutely nobody, like, none of people I know are on TikTok. So I was like, okay, so whatever.

Anna Nadeina [00:05:50]:

I'm also based in Thailand, so it shows, I guess, only in Thailand. I'm not very strong with TikTok algorithms. But at the same time I thought, hey, I'm gonna start. And the more I did it, the more I was like, wait a second. You know, I love being a host and I always kind of thought, I'm just going to stay a host. I like to ask other people things and you kind of go behind and you let other people shine, right? As a host, you probably understand. And then I started sharing my opinion, my experience and my knowledge more and more and people started coming together and then I started doing it on LinkedIn and I thought, oh my God, all right, I'm definitely going to lose some of the audience. You know, not the worst thing to happen on earth, but still, you know, I've been growing them for years.

Anna Nadeina [00:06:47]:

So that was a little scary at first. But yeah, I mean, 15 people are going to leave. So what? 15,000 may find you because you're shining through. And the moment it clicks, I think the moment you start feeling free, I don't know if it makes sense, right? But you start shining through and you start feeling like, okay, that's what I'm supposed to be talking about. That's your moment. Continue. You know, and like I said, there are so many unhinged and completely like batshit crazy stuff on the Internet that people love. You're definitely going to find your audience.

Bryan McAnulty [00:07:34]:

Real quick, Bryan here. You know me as the host for this podcast, but what you might not know is I'm also the founder of Heights Platform. It's an all in one platform that over 10,000 creators have used to build their online courses, communities and digital product businesses. We recently added some awesome updates to Heights AI to help you turn your idea into a viable business. Heights AI can build entire product offers, review your content, and even coach you on how to grow. You can try it for free for 30 days. Links in the description. Now back to the podcast.

Bryan McAnulty [00:08:20]:

We've seen that you said that staying human in the AI era is still one of the most important things for growing a large business or businesses selling even like high ticket type of products. What does staying human actually mean to you?

Anna Nadeina [00:08:20]:

Okay, so why I was talking about that, just a little bit of a story here, right? I'm coming from a company that acquires other companies, right? So why I was talking about big tickets was because we were giving people millions of dollars, right, for their companies to buy, to acquire their companies. And when I joined, honestly, I knew, well, to be completely transparent, zero about how these things are done. And I thought, okay, instead of trying to become that title that I was given, and my title was Head of Growth and kind of grow it as a product and talk about our features and how we're faster and how we, you know, think about valuation and stuff, I thought, I'm gonna do what I do best and I'm going to work with community, I'm going to work with the network, I'm going to bring people together to talk about that and to tell me what I should tell them.

Anna Nadeina [00:10:20]:

Because exiting a company often is just a once in a lifetime opportunity, right? It's not like you're selling your B2B SaaS every 15 and people don't know what to expect. And a lot of times they think they're asking very stupid questions. And I want to come back to that. There are no stupid questions. And I started going through building the brand where we were, I want to say the coolest M&A company out there, right? The coolest, meaning the most accessible, the friendliest, the most kind of, you know, no strings attached. We're building a community. And whenever you feel comfortable talking to us about exiting your company and how you want to do it and why you are doing it, because those are big things in that deal. You will come to us because we are that, you know, I want to say friend that is knowledgeable about the company.

Bryan McAnulty [00:10:44]:

That like, you feel you can personally reach out to as opposed to, I think my lawyer should contact these people.

Anna Nadeina [00:10:50]:

Exactly. That was the whole, you know, brand value prop. And obviously, you know, when I came, I thought, wow, okay, I can automate so much stuff and I can create way more content and I can generate a thousand blog posts, you know, so our SEO is better. And then I tried and I saw the outcome and I saw how people respond to that and I thought, no, like, you're still spending so much time on this because you, like, contrary to many beliefs, you will have to spend a lot of time teaching, training, you know, educating this machine in order for it to know what you want.

Anna Nadeina [00:12:11]:

And you'll have to keep doing it because, well, it forgets, right? And then the model changes and you have to retrain it. You all know what I'm talking about. So I thought, I will rather go slower. I will not engage in any ads or AI generated content. I will still be that little island of authenticity and friendly approach where people feel safe rather than just try to ramp up our AI visibility, which hot take, I don't know, maybe that will lose me some audience on LinkedIn, but I think is at this point not possible to game. Basically we're still feeding SEO and we're still like, if we're doing it well, it's good for our SEO and then SEO is ultimately giving us the results. Or at least, you know, that's my experience.

Bryan McAnulty [00:13:00]:

Well, so I have some thoughts on that. I recently saw that. I forget who published the stat, but I saw something recently that they said that something about the visits from AI searches or AI sources were more likely to convert than traditional organic traffic or something like that. But this I think goes along to agree with what you say about that. It's not really possible to game it because the reason I believe that that would convert better is your customer is already like finding the thing that they were looking for because of what they told the AI.

Bryan McAnulty [00:13:48]:

And so it's not like, oh, I told the AI, I just want like whatever. And then it's so I gamed it because it's always recommending my brand. That's not how it works, I don't think. I think customers are talking with the AI. The AI understands this is what this specific person is looking for. And here's why. This solution kind of fits that. The great thing about that is like the AI is in some ways doing the work of selling your product for you. And so I think we have to reconsider almost like what goes on the landing page because people aren't even reading the landing page. But the AI is using it to inform the person about the thing that they care about and how that connects to your brand. But yeah, all that is to say that the AI is not going to recommend the random business that gained the system. It's going to recommend the thing that relates to the human.

Anna Nadeina [00:14:26]:

Exactly. It's not to say, you know, stop doing that and stop trying to gain some AI visibility. Do that, right, if that's your goal, absolutely. But on the way there, you still need to do good work. And what you need to do, I think, is try to understand your customers or users or, you know, whoever you want to come to you, you have to understand them so much better so that when they create that prompt, right.

Anna Nadeina [00:15:00]:

So the biggest difference, right, between Google and ChatGPT or whatever you're using is that now you can tell it everything, everything about yourself, everything about your case, everything about your budget and your team and what do after you purchase something. And that's exactly what you have to capture. And in my view, if you're building a brand, you have to be super sharp on that and then put it everywhere around your website, platform, landing page, and then that's going to be your truth and your brand and something that people would want to relate to. And that's what you're selling afterwards.

Bryan McAnulty [00:15:50]:

Yeah, I want to talk about that. I've heard more and more people talk about how, especially in the software side of the business, it's become more about selling the outcome. And I talk about this all the time because most of our audiences, like course creators, building a community membership, a coaching business or something like that, where 100%, that's what you have to do. You have to sell the outcome or the result that you're going to provide. But traditionally in like a software as a service business, you want to make people believe that they can reach that outcome. But it's not that you're selling the outcome directly almost, it's that you're selling the tool that's going to help them get there.

Bryan McAnulty [00:16:38]:

And so, like, meaning that people had to use software in order to reach the outcome in the future. Now there's these AI agents that are operating things for you. And so it's almost that the outcome is provided by the AI. And so I've heard people talking about this term, it's not software as a service anymore, it's service as a software. And I think that not only do software companies have to adapt, but I think also like agencies and even, even an independent coach maybe has to think about how they have to adapt to maybe also become this kind of service as a software where AI can help them to deliver that outcome to somebody. I think there's a lot there. But I'm curious, like, what are your thoughts on all this?

Anna Nadeina [00:17:16]:

Okay. Well, it may not be the most knowledgeable about this particular thing. What I hear more and more from the founders that I interview on my podcast is that now a lot more people are betting on adding service to their AI software. And why that is because of trust, because of people eventually want to interact with people. Because there is so much automation and frankly, especially in the consumer tools, consumer products, there's not much understanding of what's actually going on. So I'll give you a quick example.

Anna Nadeina [00:18:16]:

I'm talking to this founder who built a tool for handling taxes. Right. And it's essentially, it's a pretty simple layer that will tell you, okay, this year you're going to pay this and that, and this is why. But if you're handling something a bit more extreme, you have, I don't know, a couple more companies on top of that to run and you have payroll and you have this and that and you have, I don't know, properties. So it's a bit more of a complex thing and you're not sure if AI is just the best thing to go with. Right? Because it has to understand all of the things.

Anna Nadeina [00:19:45]:

Like for example, take the US, right, every state has some kind of a different taxation and what they're offering, what their bet is that there will be a person, if you want to go full throttle, there will be a person attached to your account and to your tool that will make sure that AI goes where it's supposed to go and takes care of what it's supposed to take care of. And that's an additional thing that's going to be with the product. And you know, looking at it from an acquirer perspective, historically that's always been a bit of a red flag because, I mean, services are not scalable. But from a brand person perspective and person who believes that there should be trust when there is something new that we are adopting, I think that's a brilliant idea and I'm actually very curious to see how it's going to work.

Bryan McAnulty [00:20:04]:

Yeah, yeah, that's a great point. I think that can kind of help speak to those who might be like apprehensive in this of like worrying like, oh, is AI somehow going to replace me or something of what I'm doing? And I think it's not. I think that there's going to be ways that we adapt and things that we do a little bit differently maybe, but the human is very important still in all of this. And so I'm very much against the idea of, yeah, let's use AI to put out endless, whatever content, code, whatever it is.

Bryan McAnulty [00:21:03]:

Because my belief is that business is just how you do things. If you look at like the Apple versus Windows and like there's a very particular way that Apple goes about developing and building their products and that's what made them stand out. So if everybody uses the same AI and the same AI agents to just put out anything, there's no differentiator there. So it all comes down to how you're going to do things. And then I also heard somebody say that you can outsource your work, but you can't outsource your understanding and this is what you're getting at here where, like, if an AI is doing a tax thing for you, but then the consumer has to have confidence and trust in what's actually going on there. To be able to have a human who is doing the understanding part and is able to add that trust in is really powerful because.

Anna Nadeina [00:21:27]:

I mean, AI does not have accountability. Like, who are you going to make accountable when there is a mistake? Right?

Bryan McAnulty [00:21:37]:

Yeah, exactly. I'm blown away by seeing people talk about how like, oh, AI, it deleted all my files or it deleted my code or messed up the production or something like this. And you have to be careful, just don't give it access to things like that in the same way that you would maybe allow a human to be in touch of that, but you just tell them not to. You can't do that with AI because with a human there's incentives, there's a relationship between you and the human. Maybe they have a job, they don't want to lose the job. AI has nothing to lose. And even if it has the best intentions, there's still no actual incentive there of, I guess I'm going to just try this.

Anna Nadeina [00:22:17]:

Exactly. And to your point of people thinking about AI taking their jobs, I have a tiny hypothesis to share here about the fact that what are the best tools right now, allegedly, that run with AI? Those are coding tools. Why? Because, well, engineers, developers are behind them. Right. So therefore it's just way easier for them to, you know, generate systems that work for them. But you will have to have those massive R&D teams for literally everything to, you know, substitute humanity and, you know, take every job. So I think you're right. Like work with AI, make sure that there is accountability level that you're adding or trust level or creativity. You know, people are talking about AI being conscious. Yeah, okay, but it doesn't, it's not very tasteful. Right. Still, you can add so much. You just have to work with it, not against it. I know it's a bit of a, you know, fight or flight kind of situation here, but. Yeah, no, but nobody is there to just take your job if you're really good at it.

Bryan McAnulty [00:23:48]:

Yeah, yeah, I agree with that. And yeah, there's my take on like how it's useful for coding because that's how I use the most of it. I'm using like 2 billion tokens per month through our own coding agent of how it's building our software, technically doing it through Azure and not directly OpenAI's endpoint so they're not counting it towards the plaques or whatever. But yeah, maybe soon.

Bryan McAnulty [00:24:59]:

But yeah, it's interesting to see because while I know it works for that very well, and I've been able to utilize it for that very well for other things, it's not going to be the case. And if you told me I have to be able to use hundreds of millions or billions of tokens to have it accomplish something else, I would say, well, I don't know how I can do that and feel that it's actually valuable because code is something that can be like, verified, like math. And it's like there is an end solution here that's going to work or it doesn't work, but with other things, like even like content creation, there's all this nuance in being a human that AI is not in touch with.

Anna Nadeina [00:24:59]:

No, absolutely. And I remember, you know, the first time I heard about ChatGPT and the founder I worked with at the time came to me and he said, well, okay, probably the podcast era is over. Now we're going to have AI hosts. And I was like, oh, you know, this machine is going to take my job. And then just to, you know, just to test it, I actually went on a podcast where it was AI host. And then I came out and I was like, no, absolutely not. Nobody, nobody wants to go to an AI host. It's laughable. Maybe it's getting there. I don't know. I don't want to anger the machine, but not yet.

Bryan McAnulty [00:25:50]:

Well, what do you think for somebody who's like a solo entrepreneur or maybe an entrepreneur with a small team where you've got limited time, what are some practical ways that you can use AI without losing your voice or your values or that personal connection with customers?

Anna Nadeina [00:26:07]:

Oh, God, how much time do you have? I mean, there are so many ways, right? And we can talk about, like, agents and the army of agents doing content versus your army of agents doing sales. I don't want to go that deep, to be honest, because I think if you are using, say, Claude as a chat, plus a few connectors, you're already on a very good track and you can accomplish already so much.

Anna Nadeina [00:27:22]:

What I would like to say is definitely, definitely build guardrails. And at the same time, I'm not going to say it's going to work all the time. Like, I will give you a simple example. I do use Claude for my podcast to give me the timestamps. So, you know, just kind of more of a technicalities, timestamps, links for, you know, the founder I interview for the domain of their company and like little things here and there. And it used to work for a couple months amazingly well. It was saving me time and I was like, okay, well, I found this great use case for AI for my particular thing.

Anna Nadeina [00:28:06]:

And just yesterday I had two podcasts in a row and I was like, okay, before I forget, I need to like put all the quotes that I liked and ask it to generate all the links that I need. And it didn't, it didn't work. It was completely botched. It was like, what are you doing? I was like yelling at it. For the first time in my life. I'm usually very polite. I'm afraid of the rise of AI, but it was crazy, to be completely honest. I don't understand what's going on behind. Right. It's probably another model is coming and we don't know yet. And 73 models in between. Between or tweaking something that, you know, also mess with our content.

Anna Nadeina [00:28:46]:

But it's so frustrating that consistency is still not the thing. But I will still preach that if you want to create content. And my only big no-no with content and AI is using it as is. I guess everyone's talking about it, but just to, to put it out, if it creates something for you, edit it, edit it heavily. Add your voice, make sure you add a couple of, you know, your personal unhinged things that we were talking about at the beginning. Because AI is not good with jokes, it's not good with being ironic, it's not good with picking up little tiny details from the context. That's all on you.

Anna Nadeina [00:30:08]:

But if you want to save time, generate a document about yourself, who you are, what you do, what your business is, how you talk, how you don't, what you find good and tasteful and what to rely on, what sources on the Internet you think are amazing to use as inspiration or research, source or whatever. So spend time on this. I was working on a skill that would help us write blog posts. And it's a 17 page document. So you know, and it does a decent job. Like I spent a couple of days on it and I put everything I knew. Like literally all my knowledge from three years of working on a brand is put there.

Anna Nadeina [00:30:45]:

And yeah, I will repeat, it's a 17 page prompt, if you will. And I run it every time. But it's not the first. So first it makes me create a brief. So it makes me do the job because that's my rule. You have to come with an opinion. You have to come with a point of view, you have to come with a goal and you have to explain your audience because it's not all the time that you're writing for the same audience. And only then it will run through this, tell me where I messed up or where I slacked off and where I need to work a little more before it can run. And then it runs the 17 page prompt and then it runs the prompt that checks the previous one and then it gives it to me and then I will rewrite it.

Bryan McAnulty [00:31:25]:

Yep. Yeah, yeah, yeah, well, yeah, that's a great example. Like, it can be so helpful with the tedious types of things, like the timestamps that you mentioned before, if it's going to work, research and things like that. And also you talked about before how, like, this, the models and everything change so often. And like, this is another part where it's difficult for somebody who's not like, using these models and these tools, like, all the time. It can be so confusing because like a year ago we would say, like, you can't give it a 17 page prompt. It's going to like, mess it up. It's not going to perform right.

Bryan McAnulty [00:32:36]:

It's just, you can't do that yet. Now you can. And now that's the better way to do that, is that you want to be as detailed as possible. And yesterday I did the same kind of thing. It's like 17 pages or so of like, this is the thing that we have to build and that was developed from me going back and forth of like, answering questions to determine with it, like, this is the thing that I want and this is how I think we should approach it. And then learning about, like, what are the pieces. I don't know about putting that all into this, this giant document that it had to be able to reference. And yeah, now that is the way to work with it.

Bryan McAnulty [00:32:36]:

I would also share, like, what do you think about. Because you mentioned that sometimes it doesn't work and how frustrating that is. I think in some ways using an AI or AI agent wrong is worse than just not using it at all. Because if you're trying to use it to save you time from this kind of thing and then it ends up that you have to babysit it and then it goes wrong and then you have to try to figure out, well, how did it go wrong if it was trying to save you time from doing the tedious thing. But then now you're trying to debug the way it went wrong from you doing the tedious thing, that's even less fun than just doing the tedious thing yourself. Right, Exactly. But I think it's so useful when you can get it to work for those things.

Bryan McAnulty [00:33:57]:

But I guess my thought would be, because I know I'm talking a real lot about AI, because I use it a lot.

Anna Nadeina [00:33:28]:

We all do.

Bryan McAnulty [00:33:28]:

Yeah, we all do. And I think. But for somebody who is maybe like watching or listening to this and is like, okay, well, I don't use it as much as like Anna or Bryan here. I would say that, like, I think it's very valuable to understand what these like agent tools and everything can do. But I don't think you have to like jump off and be the first one to use it because, yeah, if, if it's doing things wrong for you, it can actually maybe like even cost you more time than it's saving you.

Anna Nadeina [00:33:57]:

Oh, absolutely. Again, I can give you a very easy example. I think just maybe less than a year ago, maybe eight months ago, I felt this crazy pressure, like peer pressure, LinkedIn pressure, all kinds of it, for marketers to become engineers. It was everywhere. If you're a marketer, you have to become an engineer and you have to do your own automations, n8n stuff and, you know, agents and all that stuff. And okay, well I thought, I give up, I'll go to n8n. And who doesn't know n8n is actually a very technical thing. It was built for developers to automate certain things in development for code. It's actual code.

Anna Nadeina [00:34:53]:

When I first saw it, I was like, I don't know code, what are you talking about? How did everyone just magically upload that knowledge into their brain and why am I behind? And it was very frustrating. And I spent, I don't know, three days, I'll be honest, I rolled out of bed and into that and then from that into my bed and that was my process for three days. And eventually, you know, I built this thing that would run a research on SaaS trends every morning, give me the report, then work with that report, analyze it against my own data from my calls transcript with founders, then analyze it against LinkedIn data and, you know, what goes viral and what gets attention and then write me several LinkedIn posts and then again analyze, yada yada.

Anna Nadeina [00:36:33]:

And it was, you know, this little state of art thing and I use it maybe eight times because it was, I don't know, it was, sometimes I didn't want to write about that, sometimes it wasn't that relevant. Sometimes, frankly, it would be broken. And I was like, you know what? I like when it's a bit more creative. I like when I react to something. I have a call with the founder, they tell me something and they're like, okay, let's write about this. Let's see if anyone else in the audience have the same problem. And okay, I understand if you're an agency, maybe automation, some, some heavy process with agents is the thing to go with, but if you're more of a, you know, brand person that roots for authenticity, maybe it's your own brand, then maybe don't, you know, be, it's okay to be, you know, somehow the word reactive became almost, you know, a bad word in marketing. But be reactive, you know, react in something that customers tell you or something that you see. Be yourself, be unapologetically yourself.

Bryan McAnulty [00:37:25]:

Yeah, excellent advice. I want to get into now like a quick lightning round, so a few quick questions looking for like, I guess like a 10 second or so answer. So what is one thing that companies are getting wrong about AI marketing right now?

Anna Nadeina [00:37:43]:

That it can be done fully with AI without a person, that they can fire their marketers? That's very wrong. That's not true. Don't do that. That's a mistake. It's a trap.

Bryan McAnulty [00:37:57]:

Do you think AI generated content is making brands sound more similar?

Anna Nadeina [00:38:04]:

Yes and no. Depends on your marketing team that you did not fire.

Bryan McAnulty [00:38:11]:

Can AI help build relationships?

Anna Nadeina [00:38:16]:

Oh, that's a tough one. Yes, yes, I think, I think yes. If, you know, if you're both into AI and it's something that brings you together, then why not?

Bryan McAnulty [00:38:29]:

What about the idea of, I don't think this really exists in a great way today, but what about the idea of if AI could be able to tell that like, okay, these people share these similarities and kind of help people connect to more like-minded people.

Anna Nadeina [00:38:44]:

Wasn't that like a movie or something about that? Probably. Was it a Black Mirror? You know, I don't know, call me old school, call me cringe. I don't know. I like when there is a bit of serendipity involved. It's, you know, it's good. I'm not saying it's wrong to do that. I mean there, there are dating apps that do that already, right? And it works and allegedly, you know, people get married and in 20 years we'll probably have some statistics to see if they grew happily ever after. But yeah, I don't know, if you have an opportunity to go outside and find somebody to talk to who's real, then do that.

Bryan McAnulty [00:39:36]:

Yeah, yeah, it sounds good to me. What is one human skill that will become more valuable because of AI?

Anna Nadeina [00:39:46]:

Creativity, taste and ability to understand another person. Be empathic and be real.

Bryan McAnulty [00:40:00]:

And what makes a SaaS company feel trustworthy before somebody like books a demo or starts a trial?

Anna Nadeina [00:40:07]:

Oh, I think it's when you have consistency in your messaging, consistency with what you put out there. When you have some trustworthiness worthy content. When your reviews are real and it's not just, you know, Sarah from an ex company, when you, when you create a feeling, you know, when, when you create a brand that people want to relate to. So again, when you show some values that are true to you because I think, you know, bullshit can only take you that far. And when you are ready to go an extra mile for your customer, for a user, yeah.

Bryan McAnulty [00:41:00]:

That's great advice. And then on the show, I'd like to have every guest ask a question to our audience. So if you could ask our audience anything, whether something you're curious about or kind of just want to get people thinking about, what would that be?

Anna Nadeina [00:41:17]:

It's a question that I started asking on my own podcast and I think because like you said, we talk about AI all the time, it's what was something lately on the Internet that is not AI that got you really, really excited? I would be super curious to know. For me, it's Pirate Wires. It's this completely unhinged, deeply opinionated newsletter about all things that are happening in the US mostly. Take a look.

Bryan McAnulty [00:41:53]:

Cool. All right, well, Anna, thanks so much for coming on the show.

Anna Nadeina [00:41:56]:

Thank you. It was great fun.

Bryan McAnulty [00:41:59]:

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