How a Tech Founder Uses AI to Automate Content and Build a Lean Startup

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But I just knew immediately that it was not a career that I was gonna potentially thrive in just because it wasn't for my type of personality. And I'm. I'm grateful that I was able to assess that early on. I think generally speaking, sometimes people just get pushed into careers that they know are not for them, but then they insist that they wanna continue working in that space. So I was able to really quickly know that's not for me.

I went to school after that, for cancer research then, so I went from medical practice to biotech research and after that I moved to New York and then pursued more of the communication investor relations side of biotech, which kind of became the starting point for me in marketing and comms and public relations and just really understanding the power of storytelling and the power of also knowing how to resonate with your target customer and target audience.

Because initially when I worked in that space, I worked for biotech companies that were creating really complex, tech or, medicine or whatnot or science that needed somewhat of explaining to the public that doesn't have a science background. And I was the middle woman in that space. So taking kind of scientific explanations and complex concepts and then turning them into stories that patients and physicians and investors could actually understand.

Yeah. And so that's when I realized this is something I want to pursue. And I loved being in that space. And so shortly after I launched my podcast, which was called entrepreneurs in Vogue at that point. And it was mostly because I had that pageant experience. I won miss New York, US in 2015. And I thought, wow, this was first of all, unpredictable. I didn't think I would ever be in the pageant world. And not only that, but I would never. Win one.

And so now that I have this platform, now that I have this voice, how can I use it to truly become a community change agent? And at that point I felt also a little lost in my career. So I loved what I did as far as, communication, marketing, storytelling, but I didn't think that I fit in the corporate world. I felt like I was too creative and too just a little bit all over the place.

At that point I was, I think 24 or 25, and I felt a little restricted in corporate world, especially in New York, even though I had landed my dream job. And so I decided now that I have a platform, I'm gonna launch a podcast just so I can interview other women that maybe took the unconventional road to success. And maybe that'll help me figure out. My path as well.

So in a way, I launched that podcast selfishly because it felt better than reaching out to women I admired or looked up to and asked them to pick their brain or take them out to coffee and ask them questions.

So I thought I actually, having a podcast and having the title of Miss New York made it easier to kind of land guests that I really wanted to talk to, but also it was a great way to provide value for them and share their stories with other women that might be facing the same block that I had right at the time. And surprisingly, the podcast took off really quickly. At the time, I think there wasn't a lot of female focused podcasts. Especially around entrepreneurship.

This was around 2015 and quickly after that, it turned into its own media brand called Sway. And I would say that's how I accidentally became an entrepreneur. So I never really set out to be one. I felt again, blocked misunderstood in the career that I had. And it felt really almost sad for me because that was the career I worked so hard for. I went to school for that. I moved to my dream city, I landed my dream job.

Everything was going great, but I was so miserable at work to the point where I couldn't get up and go to work in the morning. I had to come up with excuses. And so I felt like obviously that was a pivot that I didn't know was gonna turn out to be the rest of my life. And I never thought of myself as an entrepreneur either. Which was really interesting.

I've always been into science and I've always been into research, so I thought I would eventually find myself again and then go back to corporate America, but maybe at a different company or a different job. But I ran with it. I saw that I was able to provide value, even though I didn't really have a business plan, I didn't know how to make money from whatever I was doing at the time.

And also being in a media, space in New York at that age and not having that experience was a little bit difficult to raise money for that, to just even try to compete with all the other media startups that were springing out of New York. So it was a tough journey, but I definitely one that led to self-actualization and also, so to my experience running a media company and being in the content space.

Then I moved on to obviously launching vocable, which is now an AI powered content marketing platform.

And we basically offered content creation services and mentorship to a lot of underrepresented voices like women who wanted to leverage storytelling and leverage publishing platforms to be able to market themselves position themselves as thought leaders. So it was almost a service-based platform, but we were looking around how to turn it into a self-serving product so that we can scale without hiring again against the demand that we were getting.

And at that point is where I started looking into obviously the tech behind how we could do that. Yeah. And so this was probably around where maybe GPT 2.0 is what I stumbled upon at the time. Okay. And I've always, it's funny because my vision for Sway at the very early stages, even back in 2015, was always to be one of the first publishing platform that helped people with AI to create content so that they could just make it accessible to everybody.

Wow. Because I saw firsthand how much people struggle with the act of creating content in general. And not only that, but just the act of telling their stories in a way that makes them feel not so vulnerable, but still authentic. And also in a way that could help them resonate better with their target customers and audiences.

So I've always seen the potential of artificial intelligence in the near future of how that could be streamlined and level the playing field when it comes to content creation. But I dove deep into it around 2019 and, my brother at the time also was helping me. He was not fully, officially a team member would sway. But he definitely helped me build the product, the platform, whenever I needed, the tech kind of aspect of it.

And so I started picking his brain right around, Hey, I think we could really automate a lot of the services that we offer to our members so that we can scale more. How do you think we can bring AI into this? And then we started researching it, looking at models at the time that were available. We were still fine tuning. And, I wouldn't say training, but we were fine tuning kind of GPT 2.0, which was a lot harder at the time it was not as advanced.

We had to use the playground 'cause there was no interface. Of course that was more what we have now with ChatGPT and other chat bots. So it was a little bit more complicated then Mm-hmm. But I definitely saw potential in it. And it was also something I got really excited about, surprisingly because I didn't consider myself too much of a techie. But I just really got excited about how even at the time the output was and how much this would save time for people.

And how much everything that we're doing could be now applied with ai. And we could offer this to not just a hundred of our members, but rather a hundred thousand people over the world. And so that's really what got me into AI in the first place. And so of course we did our research. We started building in the backend. We didn't really tell people that we were doing that. We were just prototyping.

And I think by the time we built our first prototype as part of the last company, that's when ChatGPT started coming around. Okay. And we thought, all right, shoot. Now everything that we've been working on is now mainstream, right? Yeah. So people are using ChatGPT to create that content. At the time we would just give it like a topic or whatnot. It would just create an article.

So we did that already with prototyping, but ChatGPT did that better, and it did that with an interface that obviously was easier to use. And so then we started thinking, all right, obviously we need to pivot in some kind of way. So let's think through what we can really build using this it's a good thing actually that ChatGPT came out and people love it and are now more familiar with the concept of AI and how to use it.

And so that's when we started looking into, okay, product versus, AI driven features. What kind of product and workflows can we actually now make easy or automate for people around content creation as a concept, not just become another AI writing tool because that ChatGPT is already doing that.

We were also building another AI writing tool, what people would call a ChatGPT wrapper. But I think one of the biggest thing we've done differently and it we continue to do now is. Really be plugged in with our customers and listen to the actual pain points people have around content creation as a lifecycle versus the act of creating the content or generating the content. Obviously there are so many tools now that where you can just go put in a prompt and it gives you an image.

Or a post, or a caption or an article. But I think content creation that people want to achieve, right? So actual content marketing has, there's a lot more to it,

So it's a quick fix versus establishing an actual system that allows you to consistently do content right at scale. And so that's our vision, at least for the product. It's, I'm not interested in creating another AI writing tool or AI tool in general that helps you with one task. I'm looking at the entire workflow. All multi-channel content workflow, right?

So there are so many channels now that people are managing, and especially when we're talking about small businesses, which is my target audience, because I know that's where the biggest need is. Yes. We're talking about maybe one or two people in the team that are managing maybe 10 channels. And then having to post.

30 days of content across all of these channels and then figuring out what that narrative is, what the brand story is what kind of posts are actually doing well, what story hooks can we use to explain this concept Yes. And really resonate with our, so there's a lot more that goes into it. And I think that's what I bring to the table as a founder. As opposed to, I feel like a lot of our competition is the domain expertise.

I've been doing content marketing in different areas from an agency perspective, from a startup perspective. I consulted for other businesses and content marketing team. So I've seen the struggles from big teams all the way to a one person team. Yes. And I just understand the different process that it takes to actually land a content marketing strategy that works well for you, that you can scale over time.

And so going back to just how we pivoted is we started thinking about what is the current workflow? And not only how does AI generate the content, but where does AI fit into every step of the workflow? To help people minimize the tedious work and really focus more on the creative or focus more on refining their brand story. Because ultimately the brand story is what dictates yes. Your content, and that's what dictates why people should buy from you or take your services versus your competitor.

And if you have more time to focus on that and less on the tedious work that goes around content creation, then we've done our job. That's how we're approaching our products is really making sure that workflow is powered by AI versus just the act of creating the content or writing the pieces.

And then taking those scripts and then using HeyGen to create a full. UGC reel or AI avatar of mine, or even a full YouTube video, just using my AI avatar instead of me actually recording myself day in and day out. Because that is, and I've talked about this very opening. I absolutely hate being on camera, and I just hate the act of having to record something. Yeah. Constantly. Yes. Because I know you have to get ready, you have to have your hair done, you have to have your makeup.

And then on top of that, I feel that I'm not fully myself if I'm talking straight to a camera. Yeah. Like, this is fine. Yeah. Yeah. When we're having conversation, but then me having to record and speak to the camera, that's when I feel like I lose the plot. And being able to have a platform like HeyGen that can just take in my scripts and then use my 11 labs voice. And then my AI avatar that I've cloned and I've spent a lot of time cloning myself. So I have maybe like 12 clones ready to go.

Great. Yeah. And different looks and different kind of gestures, different, backgrounds. I really have been refining that clone stack. Now I'm trying to see what is the process there? How can I use Vocable to create 30 days of scripts and video ideas, which Vocable does really well. And then I pull that script straight into, Hey gen, and then I can even have just one of my team members handle the rest, right? So they put in the script.

Then they pick the AI avatar and then they do the final editing, which is adding the graphics and making the video engaging for the right platform. So that's one major platform I've been using as far as AI content creation. I think I talked to you about Ana before we yes. It's actually another deal I saw on AppSumo and I joined their community, and I really love the idea of just, let's say this podcast that we've just done now.

I can just put the full video in there or you a link to a YouTube video that I've done before, and it would just turn that into different posts, it'll create the IG version of it, the LinkedIn video of it, the Facebook post, and whatever other types of content I want it to create. It's really good for repurposing one long form piece of content into 10 different other formats. And it's really good for people who don't wanna continuously reinvent the wheel. Mm-hmm.

If a content piece is really performing for you, why not keep repurposing it and leverage that, piece of content to get traction in other platforms? Yeah. 11 Labs is another one I love, and I don't actually use that just for content. I have it plugged in with my hey Gen. 'Cause I think they have the best voice clone in technology of all the, current products. Great. I also use it to visualize my dreams, my life. Whoa. I actually create.

This vision on ChatGPT of, what a day in my life looks like by December, 2025. And then I refine it, I add it to Eleven Labs app, which is called Eleven Reader. And then I add my voice to it. So it's almost like I'm reading, whoa, I'm listening to an audiobook of myself talking about what my day in the life looks like at the end of this year. And it's actually a really interesting exercise because you would get goosebumps. Like, it feels so real.

So it's a great way to help you visualize your life or what your dreams look like in reality, so that's an interesting kind of product. I think these from the content creation are the ones I use the most. I've been looking at other AI powered products like Planable, who are great at social media management. And just scheduling, publishing and tracking your content. So then that's basically the second half of the content lifecycle.

Now that I have created all the content, especially in batches, which I definitely advise people to do that because it helps you just get rid of that anxiety of having to come up with content on a daily basis.

So that's a really cool tidbit that you shared. I'm gonna look into doing that for myself 'cause that's something I've been working on, reprogramming and getting in that state of my future dream life. Mm-hmm. Yeah. So of this simple tech stack, and I love by the way, how affordable your solutions are as well, what would you say you pay monthly or annually on them? I always think that's an important question to ask.

But I think they are all affordable in a way where, first of all, as a business you can expense that. So I think as a business owner, if you're listening to this, don't ever shy away from being more efficient because it pays for itself eventually and you're able to do more with less. So it's definitely worth the investment. And the only thing you wanna make sure of is that the tool actually works for you. And that's why a lot of these tools have trial periods.

So again, not every tool is for everyone. We have customers that love Vocable, for example. Mm-hmm. Because it just makes sense for them and they're. Customers that just don't see the value in it because they're maybe not creating as much content throughout the month, or maybe they prefer to just prompt ChatGPT and move on. So again, it depends on your use cases. And so that's another, I think, important step before you figure out what your tech stack is. You gotta know what your process is Yes.

And where your bottlenecks are. Yes. What your team looks like as far as who's using ai, who's using these tools, who's gonna be managing each of these tools again? Especially when you have a small business, you want to not overwhelm yourself and have to do it all yourself. Even with ai, it's great to think I can do it all. But it's always good to see, okay, this person can manage vocable, for example, or this person can manage my video editing.

So knowing what your process looks like, what your team looks like, and then where your biggest bottlenecks are, and start with maybe one or two. Don't try to solve every problem all at once. Because that's when you get really overwhelmed quickly and you feel like you don't see the value in AI anymore. I think AI is so great when you're so good at understanding your use cases and then finding the right tool that solves that for you and then solves the pain point for you.

And I think a lot of people skip that step. Or they ask, oh, what are you using so I can use it too? And I'm like, okay, here's what I'm using. Yeah. But. Because this is my process, I'm not sure if this will be for you, but try it out and see because it could be different based on your own needs, on your own frequency of maybe publishing or maybe your own business functions and processes. Everybody's got different things going on.

Yes. So the biggest step that people definitely skip, and I've seen this 'cause I've done a lot of AI training, is what is your process? And I would ask them and they'd be like, what do you mean I don't how do you go from A to Z? What is your outcome look like? What are you trying to solve? But then what is the process before that? And I think especially with small businesses, because they're under resourced sometimes. Yeah. They don't have those processes documented.

Yeah. Or the data that goes with it as well. And that's another important part. Right? Yeah. I think a lot of the AI use cases to really make the most of it, you want to use your own data to personalize it even more. And again, that's why I think chat bots are good, but they're very versatile, but they're not products that you can personalize very well for your own brand, for your own needs, using your data, right?

You can create GPTs, but I don't think they're as really personalized and customizable as I want them to be, at least. So having a grasp on your data and documenting that. And then your process, what your team looks like, your bottlenecks, having that already in place before you think, okay, now let me bring, AI is a very important first step.

Did you run into any of those maybe in the beginning when you had to restructure your business? I'd love to hear about that journey into adoption into your own workflow.

The challenge is having to constantly explain to ai what we do and who we are constantly, every time we want. It to step in and help, right? Yeah. Quote unquote. I think that was probably the biggest challenge, to find the right approach and also to document our own data that we want to feed into these platforms or even into our own ai, solutions that we build internally.

What does that look like in order to really make this AI an extension of us versus us having to always treat it like an intern and explain into it, oh my God, here's how you have to do, here's what you need to do. That became a lot more inefficient in the long term.

And so that's another thing people should keep in mind when, especially if you are a business or a business leader or C-suite leader looking into implementing AI into different aspects of your business, have a plan in place to track the efficacy and efficiency of the progress and the process using ai. Because if you're not seeing improvement, then obviously you're either doing it wrong or maybe you should just go back to your old way, right?

Because the whole point of using AI is to become better and do things faster. Gain more, creativity even more clarity, have more strategic insights. If you're not feeling like you're achieving those in the parts of your business where you've implemented AI, and at least have a way to track that then. Again, maybe you wanna take a step back and reevaluate how you're approaching it. And I feel like also people are not tracking that.

So for me, I was tracking speed and quality when it comes to content I was creating. And even when I'm evaluating Vocable now as output and value as a product to our customers, I want to feel like even I'm, I say I'm my own customer. Zero. I wanna feel like when I'm using Vocable, I've saved hours and then I've saved money by not hiring a writer or editor or whatnot. Then that also, my content feels like it's better, it's more engaging, but it didn't take long to get there.

So if I have to take days to refine a piece of content, because AI didn't do a good job. And it gave me maybe like three good sentences in there and I have to rework everything. Obviously I'm doing it wrong. Yes. So evaluating speed and quality is important for different business functions that you implement AI for.

Yes. And you don't want, John's output to be copied and pasted into Emma's, folders. It's just a lot. Again, this is what we talk about inefficiencies.

And then can actually compare how we compare, not from my bias as a founder or my team's bias, but really our customers telling us how we compare in the market and how we can even position ourselves better. And all that raw feedback is coming to us as an influx. We had a bit of a hard time initially to organize it all into a way that can translate into a roadmap mm-hmm. that's we can execute on. And also being able to keep up with all of the questions that people are asking.

A lot of them sometimes are repetitive, right? We have customer support agents and chat bots that we built specifically for that. Actually, my AI clone is filtering a lot of that on the platform. Wow. Which is great. And I consistently take a lot of the questions and answers that we have and feed it back into my AI clone so that she's able to pull in from my answers and then give the right answers when people go through her before they come to me.

So being able to automate that process has helped us do more and also listen to more feedback and implement it quickly. 'cause the whole reason why you want that feedback is you want to execute on the implementation and show that people that you're listening, but also that you are taking in the feedback and yes, releasing new features, improving the product, iterating as you go. And so customer support agents there have been really great.

One of the platforms that has been super helpful when it comes to agent building is beam.ai.

How do you think it relates and compares, and are you enjoying being here during this process?

And obviously it is probably one of the best cities to be in as far as networking goes, as far as resources and VC money and investors and opportunities and other tech founders that you can collaborate with and even hubs that they have throughout the city for startup resources or whatnot.

And I did that and from experience, I'm not saying this is the case for everybody else, I felt like I had way more anxiety and I wasn't operating optimally as a founder because I was also not taking care of myself as an individual, as a woman. And I've spent some time, my brother made the leap of faith before me and moved to Miami from New York.

Okay. And I started to come to visit, and first of all, I never thought I would ever live in a city like Miami because I thought it was more of a, I wouldn't say party city, but it just felt like it was vacation 24 7. And I'm like, I'm never gonna get any work done here. It just feels too comfortable. People are just living their best life. And then I'm like, okay, maybe that's a good thing. That's a good thing that I'm able to move to a city where I'm not constantly stressed.

Yeah. That I'm not constantly anxious and because if I am, then I'm not able to operate right. For my business. What they say is you can't pour from an empty cup. And I felt like I was an empty cup living in a city like. New York, and I imagine it's the same with San Francisco or all the tech hubs because you're constantly in this race of just competing with other tech founders.

So for me, Miami was a great hub, and I think a lot of people are starting to feel that way because that environment also fosters a more kind of collaborative and being at peace type of feeling. And I think that leads to more excitement about what you're doing and preserving my passion for what I'm building, which is something I lost when I was in New York.

I felt when first startup, it just became very stressful very quickly, and I almost lost interest in the passion I initially had for the projects I was working on. And so I learned a lot when it comes to self-development and also just self-care from my first startup. And that's also why I launched a book and wrote a book about a lot of this learnings before I even started my second company. And now I'm basically practicing what I preach.

And Miami has also been able to help me get back in touch with my inner child in a way. Now, I'm more active. I beautiful play tennis again, which is a sport I love playing since I was a child and I lost touch with A lot of my social gatherings are very low key and it's more around building and fostering true connections versus just running around a city and networking, which I don't think is really that effective anymore in my stage of building a business.

So yeah, I think I definitely picked Miami for different reasons, but I do think it is the best choice I've made as far as having a good environment to build a startup especially in the AI space.

I live there for some time as well, and I love the people and the experiences and it's a hustle, but it's not as intense of a hustle. There's more balance. Yeah. Like you were saying. So it's been something that's keeping me here for now. During this phase of my life as well. Yeah. I wanna talk a little bit about your experience raising capital. I know that you're in the thick of that right now.

If you wanna share a bit about that journey as a tech founder, because so many people are in this amazing opportunistic moment to become founders. Mm-hmm. Yeah. And to create things that have never been created before with this technology. Yeah. So what advice would you like to give? And also first to share your story and your journey and what you're experiencing around it.

And that wasn't, I would say too bad as far as the effort I went into it because it almost seems organic, right? And you want to do that early on, and especially again, if you, it depends. So let me backtrack. I think when you're building something a startup, you also have to understand how much of big tech do you have any deep tech, do you have anything proprietary? Do you a lot of those companies. Require heavy capital before you even go. So you might want to think VC early on.

And also because VCs bring a lot of those resources and experience and operational resources that you need to build companies like that. But if you are building kind of AI products or tools that you think you can go to market with really fast and don't require a lot of tech or deep tech to build initially, then I don't think you wanna waste too much time going after VC money early on. Because you probably can raise enough from angels and family offices to at least go to market.

And that's probably the biggest thing you need in this space right now. And during this hype cycle. 'cause I do think we're still in the midst of the hype cycle. Yes. Especially now going into agentic. That's another hype cycle that I'm seeing kind of emerge, where everybody's building AI agents and they're raising money for them. But I think now investors are catching on really quickly that, this is all just product that you're building features around.

And no one's actually like building deep tech. You're not, most of these companies including ourselves, we are not creating models from scratch. You're using open source models? Yes. You're using models that are already trained and available, and then you're building on top of these models and basically you're focused on solving problems that, a target customers have. So with this kind of companies, there is now never been a better time to launch them quickly and very resource efficient.

So you don't need to raise that much money. And I think, initially for me, I always thought of the idea of raising capital as a must do before if you are in a tech space. It almost felt like, oh, everybody else is raising money. I should too. And now I'm thinking about it differently too. 'Cause I've talked to a lot of AI founders.

I've talked to AI founders that launched their companies and got from zero to 10 million in a r in less than 18 months just because they're, obviously solving a specific problem, for a specific niche that they understand very well. Yes. They use short form content, they use marketing that is very cheap, not like even ads to reach their customers. And you don't need to raise money for that kind of products.

And I always advise founders building in this space now is thinking is my time better spent making revenue and just pushing this product as quick as possible? Getting feedback, understanding my customers getting them to rally behind this and believe in it early on. And then really just. Building and iterating as I go. Or do I wanna spend my time and effort chasing VCs that may or may not see what I'm trying to build? Because that is a very draining process and that's at least been my experience.

And I think every founder, and I've just had a conversation today with a friend who's also raising money for a startup that definitely needs money. 'cause it's hardware, it's not software. And I could just see how exhausted and tired and just drained he was. Because it is not easy to stand in front of, VCs and investors, 10 of them a day and get that no, this is not gonna work. No, we don't think this is gonna be for us.

You also have to have that thick skin to be able to get those nos on a daily basis. 'cause you have to really get about almost five to 10 meetings a week at least. And if you're getting no after, no. You're only human. Yeah. That definitely is gonna take a toll on you. And it just becomes ugh, why do I even need to do this anymore? I know I went through that phase. So now, and then I compared that to focusing instead or shifting my focus on, okay, let me just focus on my customers.

Let me just focus on knowing what channels for us drive revenue. Yeah. What our customers think of our products. Because ultimately that's really what matters, right? I want to know what my customers think versus what investors think. Yeah. 'Cause you're not gonna be for every vc what you're building is not for what every VC is, investing in.

And focusing on the customer and then pulling in that revenue instead of pulling in investment for me felt like that's what put life back into my soul and I just felt, okay, this is probably the path I need to be taken. And again, it differs between different founders. Some people love just raising money and I know founders that just thrive in that space.

And then there are founders that just do better with just growing a business and raising some capital from people who are, close friends and family or strategic, which is a lot less draining as a process. Yeah. And then focusing on just building and then launching quickly and then bringing in revenue and then growing in that phase.

And when you do have traction, when you do have revenue and you have customer validation and you've gotten maybe to even products market fit that at that point it becomes a lot easier to raise money because ultimately you Yes. Numbers don't lie. If you are in front of investors and say, okay, here's how much we grew. Obviously our customers love what we're putting out. Here's the growth we've experienced, here's at traction we have. It's hard to argue against that.

So I always try to, especially for first time founders if you can launch at with just a little capital and grit traction before you go into vc, that is probably the best play that you could have for yourself.

Yeah. Miners who are constantly improving on the platform, on the model because of the incentive. So the model's always getting better and it's also cheaper as a way. And initially we thought we wanted to go that way because we wanted to offer a free product initially. And we did, I think 2023 when we launched for at least six months, we were free for a lot of users.

Because again, of the nature of our target audience, small businesses or solopreneurs who don't have a lot of resources to invest in products would see value in that. But again, I think with Bittensor and all, it just wasn't always stable. So it was in the hype cycle and then it wasn't. Yeah. So we didn't think that it was probably the best business idea or business plan to have an unstable kind of platform that relied on decentralized. And we didn't have a lot of control at the end of the day.

So we decided then to go back to proprietary and also open source models and then fine tune our own models. And then just have a little bit more control there. And then at that point we would offer the product at a small price. But definitely no longer free. But I think with also open source, it gave us the opportunity to eventually have our also users almost train their own model as they continue using the product more and more.

Yeah. So Al every kind of user account will be associated with their own model that continuously gets better with them and grows with them as their content needs grow.

But then I'm realizing that I've subscribed to a lot of them, but I never get to read all of them.

And it's basically your AI pulling all of the newsletters that you subscribe to, and then turn in all of the content across all of them into this really curated podcast, 20 minute, you can pick the duration of it, 20 minutes an hour, whatever that might be. And then that way you can consume the news and stay updated without the hassle of having to open newsletters, going through each one of them and reading each of those news sources. And then figuring out what do I need to take away from this?

I was gonna call it newscast, so don't steal this. Okay. Don't steal. So that would actually, for me, I always think of ideas based on my own pain points and my own things like that. I wish I had, and I'm sure there probably is something like this around there, right? Yeah. That's one thing I was thinking about, and this was probably like, almost a year ago.

Or. All of a sudden I'm toggling into this settings and there's four different options and I have no idea what it means. Like think about the audio tech and stuff that happens in a podcast. I'm like what the heck does that mean? And I find myself going to ChatGPT and then speaking to it because I prefer conversations. To be okay, this is what I'm up against. What does this mean? What should I choose? Should I toggle this on or off? How do I go to this step? Why is this not working?

I like to speak to it that way. And I think that it would be great if this was a feature in every platform or tool to just have a voice agent with you. To be like, Hey, how do I do this? Or, this is what I need to do. Here's my goal or outcome, or here's the very specific problem I'm having, how do I fix it? Yeah. De Script has a thing called Magic Lord right now, where you can talk to it in that way, but it's not there yet. Yeah. So that's my magic wand moment.

That's almost leading the way and then your users, instead of pointing and clicking, which I think now with AI agents is that's gonna definitely be, gone and disrupted. Most people just want to have a conversation and almost let talk to AI and let AI guide them through a product, an interface, a problem. Yeah. And so now with a lot of SaaS that's something you don't have to be like a voice-based tool.

Yeah. In order to have that feature that every tool and every software should offer a voice feature where people could just ask it to, Hey, create a content plan for me. Hey, can you expand on this plan for me today? Yes. Or things like that instead of. Having to figure out where that feature is and where to click on the software. 'cause I do think people are getting that fatigue now.

I'm like, see, this is will be interesting if you could just talk to the platform through ai Yes. And say, Hey, can you open my content for me? And then that just gets done by AI in the backend.

That is still a big question mark. And I think once someone figures out a new trend of having humans interact with agents in a very intuitive, seamless way, that's when we're gonna hit mass adoption. And so I think everyone I talk to, and it's interesting, I'm doing a webinar on this with Mike Pell, who's the head of the Microsoft Garage. And his whole kind of concept is like human machine interaction and how do we re-disrupt or re reinvent the idea of user interface in the era of agentic ai.

Because if AI is now taking over and strategizing, executing, completing tasks, and you're basically just supervising from afar. You're not pointing and clicking. What does that interface look like? Since you don't have to and we've also started experimenting with this 'cause we built our agents and we haven't really announced it, but we've built our AI content agents and we've been testing that and we're also figure out what is the right time to have even alpha testers on board.

And we see that basically you can just connect your entire, let's say Twitter, and it does scrapes, it comes up with all the posts creates the post for you, then publishes it, and you basically don't have to do anything. But I also can foresee how people feel uncomfortable with that because most people don't want maybe AI to log into their channels and then run that show for them.

They just maybe want to specifically focus on this part of the content lifecycle, and then they'll take it over from there on. This is where I think things get a little bit complicated, but also there's only one way to find out is by launching and seeing how people interact with it. But I do think the biggest question mark right now in the industry is what is the human AI agent interface look like moving forward?

And it's really interesting and it's actually fascinating because also a lot of the features we built for the AI agents is what a lot of our customers now request on the current product. So I think there's a big overlap, and we've basically thought about Vocables platform now as a stepping stone into Agentic AI workflow when it comes to handling their entire content lifecycle.

We just need to understand what does that transition look like going from AI SaaS and pointing and clicking, which people still love to do and feel comfortable with. To then completely handing over the tasks and the content lifecycle to AI agents that collaborate between each other. And then you're basically the one kind of just approving the post at the end before going in to get published in each platform.

I was thinking of compiling and putting together a fun movie list of AI and see what's come true so far,

I'm not an AI machine learning specialist or expert and by any means, but I just know that the reason why I thrive in this space is because I have fun with it, and genuinely, there are times when my parents call me on random idol Tuesday nights is like 11:00 PM Like, what are you doing? I'm oh, I'm experimenting with Midjourney. I was able to do this and do that. And then I took it from Midjourney to Kling ai, and I made it move and they're like maybe you should go to sleep. Like what?

I'm always just having fun with it and learning and making that experience fun as opposed to being, Ugh, this is something I have to now do. And be part of. And I didn't even ask for that. I think a lot of people come at it from a very pessimistic, yeah. Almost like a chore. Oh, I have to learn AI now. But they don't realize that it's actually really fun once you genuinely dedicate one or two hours even a week. Start there and then Google research products that are out there. What can AI do?

Or maybe think about, oh, I have this issue here. I wonder how AI can help with this. And even just like you said, you're having conversation with ChatGPT or Claude. Using those chat bots to also learn the craft. There are so many ways that now AI is leveling the playing field. And you should literally be excited about that versus seeing it as, oh my God, this is another thing I have to add to my to-do list after work or whatnot.

Because it genuinely can be a fun process to learn because you will start seeing how your life will become better. Yeah. And more freed up because I was able to do a lot now because AI is able to take over. And I was able to figure out how. So I think just having fun with it. Dedicate a couple hours a week to learn the craft. Be very curious about what's going on. Keep up with what's happening. You don't have to understand it all.

But yeah, just leverage it as almost a hobby now, and then you're gonna start seeing how you can easily implement it into other areas of your life and your work.

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