Interview with CEO @ MindPal | No-Code AI Agents for Business Processes

Sylvia, founder of MindPal, built a no-code platform where every workflow step is an AI agent that reasons and acts autonomously, unlike traditional automation tools. The platform grew from a document-chat tool in August 2023 to 20,000 users with 10x ARR growth, 25% of customers from YouTube and 25% from referrals.
Chapters
Agents are going to basically take over the world. Agents are going to take over jobs. They're going to take over the world. They're going to help us be able to make more money and live a more prosperous life. We all know this already. The thing is, people think that agents are going to also kill us, and that might happen in the future, but I think it's people using agents are going to kill other people. I don't think the agents themselves are going to just randomly wake up because they do what they're programmed to do, and they can program themselves to do things. But the reality is right now where we're at is stop worrying about what might happen in 1,000 years from now and start worrying about what's happening right now. Because all that exists is right now. And right now I have an incredible woman, Sylvia, who built a no-code AI agents platform for business processes called mindpal.io. And I figured, you know what, let me reach out to her. We're not even connected on LinkedIn, by the way. So I just, I I saw the company, I saw the website, and I said, you know what, let me reach out to her and let me identify if she's a real person, because a lot of people hide behind their companies. And let me figure out what she's trying to do. According to her LinkedIn, it says that you could build an AI workforce with agents, multi-agent workflows with MindPal to automate thousands of tasks and internal productivity tools and things for like lead magnets. And as you know, I, I've had a marketing agency for 17 years. We are featured on the Inc. 500 as one of the fastest growing companies in America. So Sylvia, with that, I just want to say hello and welcome to the program and thank you for being with me.
Thank you so much for having me, Joe, and say hello to everybody who's watching live on LinkedIn and other platforms right now. So I'm Sylvia, the founder of mypilot.io, and we are a platform for you to build AI agents from and multi-agent workflows with no-code for your business processes. So we have been doing this for almost 2 years now. And yeah, excited to be on the podcast. And I think I would like to add my opinion a little bit on the intros of Joe. I'm actually pretty optimistic about the future. Joe is right that we should, like, instead of, like, being pessimistic about what, like, the horrible things that can happen in the future, why not— why don't we look at the positive sides and try to leverage AI at the moment? That's true. But I think although risks still exist, I have a high confidence that this AI thing is miracle and like a blessing for all of us because I believe any kind of technology revolution, not just AI, but also similar for the internet revolution or before that, like the steam engine invention, all those kinds of revolutions, they did take away some jobs. That's true based on history, but at the same time, they do open a lot of new opportunities and jobs for everybody. I do think that there are still a lot of problems and interesting problems that we as humans haven't solved yet. So if we can automate as much mundane things as possible, we can save our mind, space and energy on most important— on the most important questions of the world, like maybe like going to space, conquering other planets, or solving the problem of energy and all sorts of things. So overall, I'm very optimistic. So that's why I'm really happy to be here today and just share my thoughts and chat with Joe about AI agents and everything in between.
Wow. And I love that you have 20,000+ businesses getting 25 times more done every week as you have on your website, which is pretty cool. You know, I don't know if you've ever used copy.ai, but I started using copy.ai back in the day when Jasper was popular and it was actually called something else. And then eventually it kind of like got in and I started, and I saw copy.ai was free and I could use it. And then I went back to it recently and I saw that they completely changed their whole website.
Yeah.
They completely changed everything about them. And they became a workflow tool. And I started realizing that all these AIs that were just doing generations in the past are becoming workflow tools. You started as a workflow tool. That's what you— how did you have the vision to start this as a workflow tool when everybody was just doing regular generations? What got you to suddenly make the click happen early? Because it seems like you did this before other people did it.
Yeah, we introduced AI agents in around September 2023. Back then, not a lot of people talked about AI agents. AI agent was not really a thing. We just happened to call these AI assistants AI agents. The term as a whole got really popular over the last 2 years. And then we introduced multi-agent workflows by February 2024, a few months later. So we do— we didn't really start with a workflow tool. Actually, we also started as a simple generation tool, and it was a simple chat with documents app. So like, this was August 2023. ChatGPT just came out a few months earlier. We just started playing around with it, and we really, really liked it. So one problem that was missing, that was still unsolved by that time, was the ability for the AI to understand the documents in our day-to-day work. So we just got started on the idea of MyPal as a second brain for your AI, where— for you, where you can dump all your files and chat with them. So that's what we got started with, with MyPal.
And then—
but the turning point for us is when we started to get real customers. They are real— they were really interested in using MyPal into their work. And one question they started to ask us a lot is how to customize the behavior of this AI. Because when we first started, this was just a generic AI assistant that answered your questions about any documents, but it wasn't really tailored for each profession or each industry. So we got researchers, business owners, salespeople, HR specialists, all sorts of segments just came to our platform and used us. They started to ask about how they can customize the behavior of the AI so that the AI can output different things based on their needs. Because marketers, they would want the AI to do some things that are related to content generation or brainstorming. On the other hand, an HR specialist, for example, they would want some analysis or some insights into the candidate CV that they are chatting to. So that's why we think of the idea of how, how, like, what if we can help these people create their own version, like their customized version of an AI that understands their profession, understand what they are doing, their company, understand what they expect, and return the results exactly just like they want. So that's the idea of an AI agent. So we started to roll out a new version of MyPal that allowed these people to build AI agents, like specialized AI assistants for their job. And then fast forward a few months later, we started to work with more B2B customers, and they started to ask us for help in building, like, production-ready engines to use in their business. One of them is a healthcare company, and they want a system to automatically generate the meeting notes for their medical appointments recordings. They have a framework of 20 different steps to analyze reporting from the insights into the patient to the performance evaluation of the staff to a lot of different things. So, and then there at the same time, there was another customer who was a business coach, and he wanted to automate his coaching service of providing feedback to business decks. So he also had a framework of evaluating these decks, like analyzing the market, the team, etc. So he already got a framework for that. So he wanted to build a system to streamline the whole process, covering many steps. So I started to talk to my team again, my co-founder, and we figured out These 2 use cases are different, but they can be built on the same infrastructure of like a system, a system where we can chain multiple AI agents. Each AI agent focuses on one step of the process, and they can talk to each other to pass the result to each other to build up upon each other's responses. So that's how we got the idea of the multi-agent workflow. And we launched it out there. And then, yeah, the multi-agent workflow feature has been really successful so far. It's our most used feature right now where people can actually— they build powerful customized AI agents, and then they connect them together into different SOPs, like different processes for these agents to collaborate with. Each other. And, uh, yeah. Uh, so that's basically how we got the idea of Agent and Workflow.
Okay, cool. And how would you, how would you compete, compare what you do and like Make.com or Zapier? I noticed in your latest post, Zapier commented on your post saying, you know, that you use their MCP and all this jazz. How would you compare what you're doing with what Zapier does or what n8n does or what Make.com does, or even a tool like Lindy? How would you compare yourself to all those tools out there?
Oh, wow. That's a great question. And to answer that thoroughly, I think there would be a lot of things that— a lot of perspectives we can look at. One perspective is to look at the target audience of us compared to some of these tools. For example, N8n, they specifically target technical teams. So even though they have a visual builder, you actually need to know to code a lot, and you need to know very technical concepts like vector database or RAG and stuff. So, and that's not our target customer. Target— our target customers are more similar to what Make.com and Zapier or Lindy target. I— we target non-technical business owners. that want to adopt AI, but want a streamlined, fast, and easy way to start using AI at their work. Zapier and Make, they actually started as a traditional automation tool, like cross-app integration, where you can set up a workflow that involves different apps. And these apps, this workflow would follow black and white logic where, like, you will listen to something happen in App A and do something in App B or transfer the data to App C, things like that. It is very similar to traditional software, but with a visual builder. But they also recently, they started to I think just this year they started to—
Agents.
Yeah, yeah, yeah.
With memory.
Yeah. And so that's what they just— this is a hot space, so it's understandable that these companies also want to make a bet in this. But for us, we started as an AI-first workflow tool. So if you look at our workflow, Every step of our workflow is an AI agent, and we focus on building, like, the workflows that are heavy, that are AI-heavy, will be best built on MyPAW. The difference is that in traditional workflow, you rely on rule-based logic, and it's very clear. But with intelligent AI agents, they are— they can reason, they can plan, they can intelligently select tools and execute. They understand what you need and may even like self-correct along the way. So there are a lot of nuances to building an agentic workflow that is very different from traditional workflow. For example, like, if you have— let's say if you build a workflow that can help you generate an ebook, for example, you would need a step to research, do deep research, and then analyze the results. And then you need a step to suggest the outline. You would need a step to generate the full content. Then you would need a step to generate the image. And then you would need steps to generate the promotional posts, etc. And on, like, on, if you do the same thing on Zapier and Make, you would need to actually configure every single thing, like, even pass the result to one step to another. It's not a, like, this is a critical feature for AI agent workflow. because you need the ability for AI agents to talk to each other. But since Make and Zapier, they didn't really start with this in mind. So their workflows would require you to configure every single detail. But for MyPAW, we try to make it very seamless for your AI agent from one step to another. to pass the data. So the same workflow on MyPal can be recreated on Zapier and Make, but it may need like 10x or even 20x extra steps.
Operations, right? You would need more operations and more steps because each one of your workflows has many steps within it already. So it's almost like you're putting together a bunch of scenarios that are already prebuilt. And they all speak to each other and you don't have to create a separate scenario to connect all the scenarios for them to all speak to each other. You're kind of like, you kind of have prebuilt universes that can each talk to each other with additional tools that you can, that you can, you know, smartly connect. So it's almost like, it's almost like you're, you're bringing in worlds together as opposed to bringing in tasks together.
Uh, yeah. Uh, kind of like that. Also, when it comes to AI agents, AI agents would need some specific utilities like knowledge sources or brand voices or output rules or tools and integrations that they can autonomously use on their own, not based on predefined rule-based logic. So all of these things are native on MyPal. So that's like, if you start on MyPal, you will start with these things first. So that, like, that's why—
You still need to have, you still need to have some level of technical knowledge. It's not like you're sending an email. You know what I mean? You're still going to need some type of expertise to understand some level of APIs and accessing MCPs and thinking about how to structure workflows and that. That takes a level of intelligence that AI is not able to kind of do itself on its own right now. Am I right about that?
Um, not to a certain extent, uh, but, uh, I think, uh, a better, uh, expla— uh, so, uh, you are, uh, talking about the difference between using an AI agent alone and a multi-agent workflow like this, right? The thing is, when we first started with AI agents alone, those are still good for a lot of tasks, especially when you just need to chat with them back and forth and work on the final result in a conversation. However, as more and more—
Hi, I'm Kalina.
Customers use AI agents, they started to realize these like specialist AI agents, they don't work in silos, they actually work in processes. So for example, I have an AI agent that I use a lot called Blog Post Writer to write blog posts for me. It has everything like stock photos access and workflow.
But does it get executed every day automatically on its own? Do you have triggers that it can go on daily or do you go in there and when you need it, you start the workflow, it does everything for you and then it finishes and gives you the result? Or does it automatically have a trigger or both?
Both, actually. So that was the blog post agent that I have, but I and many of my customers realized that there are many processes that blog post is just a step that we need to do other steps as well. So for example, I create a lot of YouTube videos, and after I create a YouTube video, I would need to do everything from preparing the title, the thumbnail, the description, to the promotional post, and even a blog post. In this case, the blog post should be a step within this whole chain of steps here. What I did is that I create a workflow that take in the video that I have just recorded, and then it launched a bunch of AI agents Each focus on one aspect of this process. One generate titles, one generate the description, etc., and it will go on.
And the—
this— and I don't have to do anything else, but then the whole workflow will get executed until I get the final result. Some people can schedule the workflow to run on a schedule. Like, for example, if you have a workflow to monitor the competitor websites or even keep yourself updated on AI news, you would want it to automatically trigger every Monday, for example, and send a recap email to you to read. But for some other workflows, they actually prefer to interact with the AI continuously because there are many high-stakes workflows that the AI can focus on doing the job, but we still need the human to make decisions and give feedback and add more inputs along the way. So that's why on Mypal, we also have a feature called Human in the Loop, where when you design a workflow, you can actually add strategic human checkpoints, add steps where a human input is needed. And then when you run the workflow, the AI will like just do its job on the steps that you have set it to do on its own. But then when it comes to the human input step, it will pause and ask you for the input. It could be like your approval or your feedback or something else. And that before it moves on to other steps. So that's why both are needed on my path.
I love that. I love that you have the human in the loop option. You know what people are dreaming about? People are dreaming about you hiring an AI agent where the AI agent will automatically on its own create a strategy, then it will create its own agents under it, then it will execute those agents flawlessly and QA everything flawlessly. And just deliver you customers and then it will serve those customers. Like, are you at the place where you can build an ecosystem where an agent can find the customers, close the customers, serve the customers, and then get more referrals of customers? Like, are we at that place right now? Like, are you able to do that with MindPal or is that like coming with a— or is that basically just AGI? Like, what are your thoughts on that?
Actually, some people already do that with MyPal, but you have to break it down. The wish to have one AI that can do it all is common, but for the current state of AI, we are still subject to the context window. of a model. So, for example, some best models right now, they only, they only have like 1 or 2 million tokens in context length. Some models, they brag about their 10 million context length, but we still have a lot of technical challenges in making these models production ready. So to be practical, AI models right now, they cannot still handle a lot of contacts at once. So that's why, like, we cannot, like, with an AI agent alone, it's very hard to have them tackle every single thing from closing to fulfilling the sale.
Right. But I'm not expecting one agent to do it all. What I'm expecting is the following. Agent number 1 is CEO. It has a vision. It knows what your business is, and you hire an agent called the CEO. And the CEO is in charge of the vision and is in charge of hiring a CMO. Now you have agent number 2, which is the CMO. Agent number 2, CMO, is like, hang on a second, I need a budget. So it hires agent number 3, which is the CFO. Now agent CEO, agent CMO, and agent CFO are working together. But now we need additional agents, so what do they do? They hire the CHRO, the Chief HR Officer, which is the agent that hires other agents. And, and, and they interview agents to see if they're good agents or not. And it's like the CEO is constantly asking for reports from the CMO, the CFO, and the CHRO to get information about the status of the business and how it's going. And the CMO is in charge of all sales and marketing. The CFO is in charge of operations and finance, and the CHRO is in charge of people. And together, they're now planning to build a business. And the CEO has an idea, because that's its job. And it even has idea agents that work for it that is constantly feeding it ideas for what it needs to do in order for it to get to its goal. And the mission is, let's say, $100 million in revenue, which is where it's trying to get. With zero, like completely bootstrapped. And so could you imagine a world where right now you build those 3 or 4 agents that are in charge of going out there and building something? Like, can you see that happening?
Um, I think there is that possibility, although I haven't seen, uh, one system like that that is actually, um, production ready yet. There are some concepts around this, but I think that is promising. I actually, I have always wanted a CMO AI agent that can do everything for me so that I can just focus on the product, et cetera.
And something— And they deliver you qualified leads. You know, that's the idea. They deliver They deliver qualified leads.
Yeah, actually, like what I— yeah, that's a possibility. What I have seen with the current state of AI is that the adoption of AI agents in work tends to be more atomic than that. So right now, one observation that I have, and also a lot of people in the industry agree on, is that AI agents, for now, they are still best when we give them a specific job and just give them a scope of work and with clear instructions and with the tools relevant to that specific job only. That will help them to focus on that job. That's why, for example, that system that you have said, About a manager AI agent orchestrating a team of subagents under them to do a job, to do something. It's actually already a feature on MyPAW. We have a feature called subagent where you can connect some subagents to a parent agent, and that parent agent can call these subagents anytime as needed. To do something. For example, the same blog post writer agent that I have shared with you before, I actually have a sub-agent under it. That sub-agent is an SEO keyword specialist agent whose job is to help me brainstorm keywords and research on the volume and the difficulty level and recommend it to the parent agent to write the blog post. So whenever the blog post agent wants to write a good blog post, it can call this SEO specialist to provide the keywords for it. So that's like, that's how I have seen people using these subagents now.
Yeah, and it's really powerful for people to realize that this is what's coming. This is what's coming, the ability to hire a CEO, the ability to hire a CMO, a CFO, a CHRO. And when I teach people, like, start chatting with Grok, start chatting with Meta.ai, start chatting with ChatGPT, with Claude, like real voice conversations. Now a Copilot also has real voice conversations that you can have because a lot of the times business owners don't even know what they want. They don't even know like, oh, I don't even know that I want customers. I don't even know what I want to do. So I think there's a lot of education that needs to go into place. I think that's a really big component of a startup, at least with my— we have 20,000 users in 37 countries around the world in our technology, Evvy AI, and we're a sales assistant specifically. for people who wanna generate more sales. So we're, we're, we like kind of niched out. We're not just a workflow automation operation, whatever thing. We're, we're in a very different world. In our world is if you wanna leave a comment on someone's LinkedIn post, the AI just reads the post and drafts the comment. I don't know if you've noticed, but I've been leaving comments on your posts. Like in just seconds, it just boom. And people can watch this live. They can watch me do this. If I wanna research someone, I click a button. And I research everything about you. I have conversation starters. I know exactly what to talk to you about. Um, all the questions that I'm— I can ask you, they're all right in front of me. Um, and I, I know exactly, I know exactly what to talk to you about and how to talk to you about because I have, uh, 6 different agents that research you on the internet and scour the internet for everything about you. So I don't have to actually do the work. I just am using it and leveraging it as my assistant and helping me out. And it's nice to have a team that I could rely on. You know, one of the things that I noticed is that you charge credits for every, for everything that you do. The way that we decided to differentiate is that we give everybody unlimited credits.
Mm-hmm.
The dangerous part is if when you start adding automation to it, and then I could say, okay, I want to use your automated credits every day, unlimited, forever. So there needs to be a fair use policy, obviously. But small business owners, I feel, really like the idea of not being limited to credits, even though they're never going to hit the credit threshold that you give them. Let's say I give you a million tokens. You're never going to hit the million tokens. But if they're afraid, if they're afraid, oh, I'm going to start hitting credits if it starts doing things automatically. No, just put a fair use policy for each agent to be able to use X amount of credits. And if you want, and anything that uses more than those credits, you call them super agents. And super agents can use 20 million things. So you have agents and super agents. So I'm like thinking of ways to be able to frame things. So small business owners, because that's who our target is, you know, solo entrepreneurs, micro businesses, small business owners are the ones that are using our technology. The big companies, they're not really using our stuff. They're not the ones using it. And there's a massive opportunity to tap into small business owners. I know that you're working with small and medium-sized business owners. Is there a reason why you charge for credits as opposed to just offering unlimited credits and then just putting a timeout window or a fair use policy on it?
We actually, yeah, it's just a decision for us to make sure that our costs don't go too high. But actually, as part of our plan, we We do support— we do have a special feature where people can unlock unlimited AI credits if they bring their own LLM API keys. Things like if they have their own OpenAI API key or Anthropic API key, they can plug it into MyPAW and use MyPAW with unlimited AI credits. We try, we want to balance the, the, our costs and also the ease to get started for these people. So that's why we also do not have like a pay-as-you-go plan where, where people would need to think about their AI credits all the time. We do package into different plans that people can choose. depending on their usage. Uh, but yeah.
What was, what was your best source of customers? Like, where did you get your customers? What was the best way for you to pick up customers? If somebody is watching this and they're, they're excited about what they're doing and they want to grow something, what advice would you give them? What was the best— you got to 20,000 users. What's the best way that you got customers?
Um, it's also quite hard to say because I think, uh, We are still in the progress of growing MyPal, and I believe that we still have a lot of room for growth. But so far, the 3 most effective channels for us have been— one is long-form educational content. So I make a lot of YouTube videos early on. It turns out to be a very great source to acquire customers because like you said, in this AI space, there is actually— this AI agent thing is still very new. Even when someone wants to get started with AI agents, there is a lot of knowledge that is missing. Our YouTube channel, is positioned as a place for people to get educated on AI agents and use cases of AI for business. We share a lot of practical use cases and case studies and all, and tutorials. That's why we have been growing our channel quite well and acquire, I think, like 25% of our customers from there. And then the second channel that is working for us is referrals from existing customers. So for the existing customers, we try to help them make the most out of MyPal as much as possible. And then we, we have a lot of people who are our customers and also big advocates for MyPal, and they continue sharing about MyPal. On their own channels. That customer referrals also, I think, contribute 25% of our new customers every month. Then there's another channel that is we have communities. We have our own community and also partnerships with some other communities. That focus on AI. And then we try to be very active there and share about tips and insights and use cases of AI at work. And we have been consistently doing this for the past 2 years. So that's why people in the community are very engaged. And yeah, and I think we also try a bunch of other things, but so far those are what work for us the most. I think for people who just start out, I think acquiring customers would be— where to acquire the customers would definitely depend a lot on the target audience that they target. For us, like, we just We don't know a lot of things at first. So what we— our plan was just try a bunch of things, see what works, and double down. And then we see that these channels work for us, so we just continue strengthening them while experimenting with other channels.
Is your business funded or are you self-bootstrapping it and self-funding it yourself?
I think it's more like pre-seed strapping. So we did raise a small check, a tiny check early on when we were like 3 or 4 months in. But then after that, we just— we are profitable. So we do not really need extra funding to grow MyPal. And MyPal has like growing, has been growing really well over the past, over the last 12 months. We actually just 10x our ARR over the last 12 months. So yeah, we are on good momentum. So, so far we do not have a really great need for extra funding.
Well, congratulations. How many, do you have like full-time developers that work internally that you work with directly or are you using kind of like outsourced?
Actually, we do not use outsourced. The whole product is built by our team. Both my co-founder and I are technical founders, so I actually handle the majority of the software engineering part of the product. And my co-founder, Tuong, he's like, he's an AI engineer and he handles everything That's related to AI, like the data processing part and yeah, everything in between.
Oh, that's pretty fantastic. It's nice to have 2 technical founders together that are building the business together and, you know, that type of stuff. I really love hearing that. That's really nice. Congratulations. You know, one of the things that I heard from you is that Relationships are really important, you know, getting referrals from customers, partnerships, which is also relationships, and also education where you're kind of building a relationship with the audience by educating them. So it sounds like relationships are really important. One of the things that we teach our clients is how to build relationships on platforms like LinkedIn to get more partnerships, to get more referrals, and to educate your customer because the best way to build a relationship is through education. I noticed that you are using LinkedIn, but you're not really getting a lot of traction with LinkedIn in terms of getting engagement. I'm your biggest commenter. So do you have any questions related to LinkedIn that I maybe could answer while people are watching? What were you wondering about related to LinkedIn to be able to get more MindPal customers? If you had a guy who has been teaching LinkedIn for 10 years and has 20,000 engaged LinkedIn users that are in his world, and he's constantly educating and training people, what would you ask that person? Like, what are you curious about?
I think I would be most curious about how to maximize the reach of my posts. So actually, LinkedIn has always been like— LinkedIn has not always been a very important channel for us, partly because we haven't cracked the code for LinkedIn yet. I mostly post on LinkedIn because one, I like it. I just like talking about the things that I observe while helping my customers with AI agents. And then two, I just want to keep my profile top of mind for my current audience, but it's been growing very slow. Yeah. So any tips on As you can see, I think I have a lot to say and share.
You do. You have, you're very, very, what you are very smart. You, what you're sharing is very valuable and more business owners need to see you, hear from you and learn from you. And the fact that you are education first and that you're producing so much content and that you're at the forefront of your company and that you're an engineer yourself and you're really smart, more people need to hear about you. What you're not doing correctly on LinkedIn and you can do a little bit better Is if I take a look at how much engagement you're doing on LinkedIn, I'll notice that you posted 1 to 2 to 3 comments in the past week. And you can see this if you go to linkedin.com/dashboard, it'll tell you how many comments you left.
Oh yeah.
I post 1,000 comments a month. 1,000 comments a month. The more you give, the more you get. The secret to living is giving. So my recommendation to you is 10x, 20x the amount of comments that you're leaving yourself, because every comment creates an opportunity for someone to come back to your profile and become a follower and a connection of yours. That's number one. So I would say leave more comments. It'll build more credibility, get you more referrals, and so on. Number 2, the second thing I would tell you to do is grow the amount of connections that you have. If you have 20,000 users, I would recommend emailing the 20,000 users and say, if you're on LinkedIn, connect with me. Here's my LinkedIn URL. I'd love to connect with my customers so that I could support your content, learn more about your business. One simple email like that can get you 1,000 new connections. Every connection on LinkedIn also becomes a follower automatically. So if you do this consistently, telling a story about how, hey, here's an interview I just had about my business. With this guy who's a guy that has 50,000 followers on LinkedIn. Watch the interview. Let me know what you think. And also, by the way, connect with me on LinkedIn. I can only send out 100 connection requests a week, but I can accept an unlimited amount of connections up to 30,000. And so connect with me. So this way I'm happy to accept you. Just let me know in the note that you're my customer, because I'm happy to accept all my customers as connections. I want to leave you recommendations, make referrals to you, and learn about your business. So you do something like that and you send out an email to your 20,000 users, you're gonna get 10% of them that are gonna want to connect with you over a period of time. That's 2,000 new connections that will, that you can look into their company, go deeper, build a real relationship, get referrals, get partnerships, do recommendations, 'cause now you're a real person. Before, if you're just on YouTube, you're not a real person. YouTube, is, is, is, is a, is like Instagram. It's like you have a channel. YouTube is like TikTok. You have a channel. You have a screen name and a channel. You're not a real person. On LinkedIn, this is what you have. Listen to this. First name, last name, company name, where you work, where you worked before. Think about that. You have mutual connections, skills, endorsements, recommendations, email address, cell phone number, literally where you're located. Like everything you want about a person is there. It's almost like the AI's wet dream. You know, it's like the, Your ultimate utopia of what an AI needs in order to have personalization, connection, and do research. And so this is the reason why I chose this as my primary platform for myself personally. Sure, I still use Instagram, Twitter, Facebook. I still use X. I still use all the stuff. But LinkedIn is where I get the best information about my own relationships. And when I share something and I engage with other people, That's where the power happens. And I have a community of 1,000 engaged LinkedIn users in my school community. That's our community's 1,000 people, but they're all committed to engaging on LinkedIn. And so I have dozens of people that will just like and comment on almost every one of my posts over the course of 24, 30 hours. Why? Because I'm the one commenting on their posts because I have a real relationship with them because they know who I am and they're willing to support my content. You don't need a lot of people to comment and like on your stuff. If you get a dozen or 2 dozen of your customers to start consistently watching your stuff and liking, now it gets amplified to many more of your people. So I would say number one is get more— number one is start engaging more yourself. Number 2 is connect with your current audience and tell them to connect with you because you only have 3,000 followers. You should have, with a person like you, you should have minimum of 5,000 to 10,000 followers. Because you can have 5,000 to 10,000 connections. And then the other thing I would just tell you to do is your posts are really good. I would ask you to really, and your posting schedule is good. I would ask you to really think about the search algorithm a little bit more when you're posting. Like when you shared Molly Mahoney's post, you wrote 2 sentences. You can have 3,000 characters there and all that feeds into Google. It all feeds into the search engine of LinkedIn. LinkedIn has a search engine and people search for content. And so thinking about SEO, search engine optimization, more strategically because you have unlimited credits with what you're doing, right? You can write something that's 3,000 words. And with Evvy AI, we let you just write content and we tell our people, fill up the full content bit. Even your about section doesn't tell people how they can sign up to partnerships with you. It doesn't have your contact information. I happened to have had to twist the internet ways to find you and to connect with you. But make it really easy for people to build a relationship with you, to get to know you. And also instead of sending people to your homepage on your web, on your LinkedIn, send them to a lead magnet. You know, like don't just send them straight to the homepage, have some type of, you know, agent calculator or assessment, you know, AI readiness assessment for an organization or some type of webinar they could watch a replay of something or even book a call with my person. And so that's what I would promote as my main thing under my city. You know, you're in Vietnam right now. So under your city, I would promote that as the main thing because you're driving traffic to LinkedIn anyway. So those are just a couple of things. And I have literally 99 LinkedIn hacks. That's one of my lead magnets. I give 99 LinkedIn hacks. Each hack is under a minute and I teach you how to do things quick and how to be able to monetize LinkedIn. And thankfully I've been able to generate millions of dollars in revenue Just from LinkedIn alone. So what do you think of the tips I just gave you, Silvio?
Yeah, I think, uh, uh, uh, yeah, I think, uh, those are quite good. I think the, um, uh, yeah, I'm give— I, I realized that I have, I, I'm pretty lazy, uh, in, uh, uh, giving comments and engaging with other people. So that makes sense.
Uh, by the way, by the way, most of our customers, what they write in our reviews is that they're too lazy to use LinkedIn properly. So they use Evvy AI to be able to draft the comment for them. It'll read the post, draft a comment like this. To write the post, you literally just push the microphone, say something, and then the post is created in your voice in 2 seconds. You don't know what to write about, the idea gets created, the post gets created. So I think that there's an opportunity for, and my goal is really to educate, just like your goal is to educate. So if you do wanna do a partnership with us, we're happy to present to your audience audience on how to leverage LinkedIn better. And maybe we can meet separately to create a few tools, a few things within MindPal that people can use to be able to use LinkedIn more effectively. And then I can just educate people and train them on how to properly use LinkedIn with my 10 years of training, where I've trained over 10,000 business owners on how to leverage LinkedIn. So if it's something that you want to do in the future, I'm happy to do it. Even just like reaching out to the people on LinkedIn that inspire you and doing these types of conversations. I tell everybody the key to closing business, 5 conversations a day, 5 conversations a day. And you might be lazy, but I like talking to you and I like talking to people. And I don't think AI's gonna replace what we're doing right now. The connection that we have now, I don't think AI's gonna be able to replace this relationship that we have because AI's not gonna be proactive. Even if you talk to ChatGPT and I could fire up ChatGPT and include ChatGPT on this call right now, and we could have a whole conversation with it, but it's not going to be at the level of me and you talking. Do you know what I mean?
Mhm.
Yeah, yeah.
What do you think? What do you think of building real relationships with your customers as opposed to just kind of having a transactional relationship where I'm the founder and, you know, just, just buy my product or leave me alone? What do you think of that?
Uh, I think it depends on, uh, the products and also the maturity level of the market. Like for some market that has already been established, like maybe the textile industry, you don't really care about the founder or the creator, right? But for some early markets like AI, with everything is new and anything can happen, like I think people would trust your companies more if you—
'Cause there's a lot of options. I mean, there's a lot of options for creating agents. There's a lot of options. But the fact that you're standing in front and the fact that you're educating and you're training, I believe it's a competitive advantage. Should we ask AI what their opinion is?
Maybe. Let's try.
Let's see. Let's see. ChatGPT, tell us, what is your opinion about founders being front and center with their AI business as opposed to just allowing the business to be front and center? Is it a competitive advantage? for a founder that has 20,000 users to be able to be in front of their audience? 'Cause, you know, both me and I'm interviewing Sylvia from mindpal.io right now, we're both in front of our audience. We're educating on YouTube and on LinkedIn and other platforms. Do you think it's a competitive advantage, ChatGPT?
I definitely think it's a competitive advantage. Uh, when founders put themselves out there and share their expertise, it definitely helps build trust and a personal connection with the audience. It shows that you're passionate and knowledgeable about what you do, and that can definitely help set you apart in the market. So I say keep doing what you're doing.
But what do you think of, of mindpal.io? Have you done any research on it, ChatGPT?
MindPal's an AI platform that helps businesses automate tasks using AI agents and workflows. It's Pretty well received by users, and it's based in Wilmington, Delaware. It was founded in 2023, so it's a relatively new player, but already making waves.
What, what do you, what do you think are their key advantages that they have in their business in today's market? Like, what would you say is the, the biggest advantages? So, because Sylvia, the CEO, is listening right now and, and she's probably curious. Are you curious, Sylvia?
Yes.
I think one of MindPal's biggest advantages is its focus on no-code AI solutions. That makes it super accessible for businesses that might not have technical expertise but still want to leverage AI. Plus, having a strong, personable presence like Sylvia's on platforms like YouTube and LinkedIn definitely helps create a strong community and trust around the brand. So you're definitely on the right track.
What advice would you give Sylvia if you were, say, a CMO? Because she tells me she wishes she had a CMO. If you were her CMO and you were an expert at AI startups and companies that are doing AI agents, what advice would you give her right now?
Oh, I'd love to play CMO for a moment. I'd say, Sylvia, definitely keep leveraging your personal brand to build trust and community. Also, focus on customer education and making sure people understand exactly how how your AI agents can make their lives easier. And don't forget to gather and showcase success stories from your clients. That social proof can be a game changer. And finally, always keep an eye on industry trends and adapt quickly. Agility is key in the AI world.
Awesome. Thank you, ChatGPT. Have a good day. By the way, by the way, isn't it fascinating that now ChatGPT is becoming part of my interviews and my conversations and all this jazz? Isn't that crazy? And I can bring Gemini into, I could bring Meta, I can bring them all in at the same time.
Yes. Yes.
Fascinating. I noticed that you don't have any recommendations on LinkedIn. So as a final tip, as a final tip, I would suggest getting 3 recommendations in the next 90 days. I have, I have, um, 500, but I would, I'm, and I'm happy to give you one because you were so kind. We just have to connect first. That means I have to remove another Sylvia from my connections because I'm at 30,000 connections right now and my limit is 30,000. So I have to go ahead and find a Sylvia who is a slacker and remove her from my profile so I can add you. So when I am able to remove a Sylvia, which I'll probably do very soon, I'll go ahead and I'll add you on LinkedIn. So this way, because you cannot recommend someone unless— Unless you're actually connected to them on LinkedIn. You can't just randomly recommend somebody. So I'll be more than happy to remove someone that is not really active. Like for example, I have this Sylvia Rodriguez who's not active on LinkedIn. I'll go ahead and remove the connection, which I just did. And then what I'll do is I'll pull up your profile because I have it open with Evvy AI. And then what I'll do is I'll send you a connection request and I'll have Evvy AI write the, uh, the note. Um, and we have something called Alt+G that allows me to automatically generate when it opens up. So, um, I just sent you a connection request with a custom note written by Evvy AI in just 2 seconds. And now once you accept that, and I'm gonna refresh, I'll be able to write you a recommendation. Is there anything that you would want me to include in the LinkedIn recommendation that I give for you?
No, feel free to write anything that You have in mind.
Amazing. Amazing. Wow. This was a beautiful interview. Thank you for gracing me with your presence today. And I'm looking forward to talking more with you. My WhatsApp cell phone number is on my LinkedIn in my about section. So if you want to send me a WhatsApp with a smiley face, you're welcome to. I love WhatsApp. It's one of my favorite communication channels. And if you ever need anything, just hit me up. You want to run something by me, I can play your CMO in the meantime and just Because I have 17 years agency experience and another decade before that being a CMO for multiple companies, I'm happy to— you could pick my brain as a friend. You know, like you were graceful enough to come and support what I'm doing, which is putting out valuable content, and you shared so many amazing pearls of wisdom. And people are already commenting saying, oh my God, this is so insightful. This is so good. Thank you. And many more people are going to see the replay. I expect over 1,000 people to see it. So, um, yeah, thank you for being here. Thank you for being you and best of luck. And let me know how I can support you. I'm making an offer to, if you ever need advice, I, you know, I'm happy to give you advice and support you and guide you and make introductions for you and so on.
Yeah. Thank you so much, Joe, for having me today. And thank you so much for your offers. You're so generous. You're so kind. Yeah. Uh, let's definitely keep in touch and, uh, I'm, uh, pretty interested in, uh, Exploring more on how we can partner together to like just MyPal and EV AI if there's anything we can do together. That yeah, let's discuss that more behind the scenes.
Let's help more businesses succeed. All right, thank you, Sylvia.
We'll be.
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