Ep. #1202 - Sales with Generative AI

Matt Watson  0:00

And we’re back for another episode of the Startup Hustle. This is your host today, Matt Watson. I’m very excited to be talking about AI today. Of course, it’s a hot topic, and we’ve had a few episodes about it. But today, we’re gonna talk about sales and using generative AI. Today, with us, we have Jason Tan from Engage AI. His company does some really cool stuff with generative AI for LinkedIn. For those of you who may follow me on LinkedIn, I have like 27,000 followers on LinkedIn. I post on LinkedIn almost every day. And I haven’t filmed this is a tool I probably should know about new, so I’m actually excited to learn about it today. Do remind everybody that today’s episode of Startup Hustle is powered by Full Scale. Hiring software developers is difficult, but our company can help you find and build a software team quickly and affordably. We have the platform to help you manage that team as well. Please visit FullScale.io to learn more. Well, Jason, welcome to the show, man.

Jason Tan  0:52

Welcome. Well, thanks for having me. Welcome. I run a podcast. So he is so used to me for me to say welcome, but it’s a welcome to you equally. And thank you so much for having me, Matt. I’m so excited to chat with you about the generative AI on LinkedIn.

Matt Watson  1:10

Yeah, absolutely. So I guess, tell us a little more about your background and know you’ve done a few different things, and I especially love to hear what, you know, inspired you to create engagement and Engage AI as well.

Jason Tan  1:24

Absolutely. That is a great question. So before I created Engage AI, I ran a company called DDALabs.ai. Effectively, I provide data and AI solutions, some to enterprise and government agencies here in Australia. And because it’s my own business and is a boutique consulting basis. you could imagine that a lot of time that I have to spend is actually on prospecting and also maintaining a relationship with the assisting client. Now, those who are doing those to pay will understand the pain of like continuously asking people out for coffee. People don’t like to do that, especially in the past couple of years when we went through COVID, coffee was not an option. That is how I came about commenting for attention as a strategy because I equally know that sending drip messaging automatically, like Do you have to book a time on my calendar, those sorts of things are not working in the b2b spaces. They are not working on LinkedIn, Commenting as a strategy to get attention has been proven for many years in various platforms. Whether you are a trader, startup founder trying to get the attention of the VC or b2b CEOs on LinkedIn is a proven strategy at the same time, and that is what I was doing for quite a long time. But he’s painful because making a comment, a really nice comment, he picks a lot of pain. That is why a lot of people resort to saying things like thanks for sharing. Great insight.

Matt Watson  3:14

Yeah, which doesn’t, which doesn’t add any value to the conversation either.

Jason Tan  3:18

Exactly, exactly. So but to add a unique comments, though, it takes time and energy, especially if you’re still in the early early days of prospecting. Try to make sure that they could be the prospect a good client, commenting with a good comment takes about three to five minutes to read a post, monetary the five minutes to come out something uniquely to say. And if you have to spend about 10 touch points just to get the attention and starting a conversation that would be easily close to two hours. And that is where the beauty of Engage AI is coming into the picture if figure out the contacts, and then they help people to drop a comment and it’s up to them to use it. And before before they use it. They can add their personal touch, delete what things and that is how Engage AI would, but also that is the main reason that I be Engage AI. Building Engage AI for the SMB owner, startup founder who are still small team who are busy servicing their time. But at the same time they need to keep out their digital presence on LinkedIn. They need to prospect. They need to maintain assisting touchpoints with the assisting client that is really the number one reason for SMB owner, but equally selfishly speaking. Another reason that I have been Engage AI because I have seen so many SMB owners or pedicle founder who are very strong in their technical sales skill set, but don’t necessarily come from a salesman. Doesn’t necessary I have a sales background. And for those for me, it is actually not easy in that transition. And it probably took us a long time to get comfortable in commenting in the public. It probably also took us a long time to really understand that nuances of saying the right thing. And I mean that the Engage AI by selfish reason, is to be Engage AI for these people don’t necessarily have the sales background, but strong technical skills have to become both a doer and a talker.

Matt Watson  5:39

Well, I was gonna echo my, my experience with Twitter was exactly this. I set up a new Twitter account. And I was posting new content every day. And I got absolutely no views, no likes, no followers, no read. None of it. It was it was absolutely useless. But if I would go comment on other people’s tweets, I would get followers, and exactly what you just described. And I absolutely saw that on Twitter. And I’ve definitely seen it as a very, very powerful strategy on LinkedIn. And there’s a few people on LinkedIn that I follow and most people don’t realize this necessarily, but you can also go to somebody’s profile and hit the bell icon, so that you get notified every single time they post. So if you find somebody that’s got, like 10, 10, 20, 30, 50,000 followers or whatever, right, and subscribe to their post. So you’re one of the first ones that are notified, if you can jump in there, and leave a really good comment, there’s a chance, there’s a good chance that like, maybe thousands of people will see your comment, right. And so I think that that’s the key to this strategy is, it’s, you know, free it’s free eyeballs on, on posting those content. So,

Jason Tan  6:54

Indeed, so the way that we actually, when we first be released Engage AI in the January this year, that was exactly the strategy that we use to get our initial 3000 user in a single month. But rather than commenting on the potential prospect, we go for the strategy commenting on the prospect of the prospect. So what I basically mean is that my prospect is the our ideal target user is the SMB on startup founder in a small team. And a lot of these people, if they are in b2b, which is Friday, on Monday, even they will target the SVP of the enterprise fortune 500 or ASX 300 over here in Australia. Now, if I were to comment on the SMB owner, I have to comment on 1000 of them to be seen by 1000 of my prospect. If I switch that the other way around, I don’t comment on the SVP of the enterprise. They are being watched by all those SMB owner and startup founders like her. In other words, when the prospect or the prospect are posting, we are the one is common thing, we get seen by 1000s of our prospects. And that is how we grew it. And to your point about that is a bell button. We actually have, in our web application, we actually have a function of monitoring the prospect. So to your point did you have about 35,000 follower, myself, I have I have about 10. And I know a lot of folks, they probably have two to 5000. The reality is a lot of time, they don’t really care about those two to 5000. It’s just too much to handle, they only have about 50 to 100 of them right, but LinkedIn on me so you whatever they want to sell you. But if you press the bell button, they probably will pay replace it. However, they still are selling you a bunch of feed in the newsfeed. If you pass Engage AI, about the people that you care about, you tell us the profile URL within our web application, you actually can see that electrons to say, okay, these are all the 50 people that I want Engage AI monitor. And we will gather and have all of those things in a secure place. Secure screen, and people can see it in your grant. That will make it even easier, but also super-focused rather than storing the bills independently.

Matt Watson  9:47

So I love what you talked about earlier on, what you really want to do is target who your customers will be following, right? So, for example, let’s say I’m in, I own a company that works in home services. And there’s a couple big trade associations, right. And so everybody in the industry probably follows those trade associations and people that work at those trade associations. So, what I should be doing is paying attention to the key people at those trade associations and commenting on their content, right, because then all my customers will read that. Like, reiterating what you said earlier, like, figuring figuring out the right strategy, I think that’s a brilliant strategy that a lot of people probably would have maybe never thought of. And if anybody learned anything today, I think that’s a really good one. Figuring out who you want to sell to and who they follow, right, and then exactly trying to, you know, get into the conversation. So I think that I think that’s fantastic. And so, so Engage AI, tell us a little more about how it works. So I love the idea that you could go into it and tell it like, okay, these are the kinds of people that I’m trying to follow to help, you know, point me in the right direction of who I should comment on. So it sounds like it helps do that. But then how does it work in regards to it? It suggests what to comment and gives you some ideas of what to post, like, tell people more about, like how you use generative AI to do that?

Jason Tan  11:18

Absolutely. So there are four different ways to do that mini, the one that you point out at following in we will monitor is what is one of the ways you help people to focus. And funnily enough, some of our customer and user call it mini CRM, so not a full suite CRM, but a mini CRM. But otherwise, the main thing is the mobile app and also the browser add-on. So, once you have installed a browser and a Chrome extension or Microsoft Edge, what basically you will notice is when they go into LinkedIn within the commenting feel they will not be is that I have inject HTML icon, Ababa within the comment field. As they mouse hover, they will realize that there are numbers of tones that they can choose, like, funny, friendly, ask question, disagree. In fact, they can actually edit those default prompts that we are told that we have already created. They can also create custom tones. So custom tones, they be something a little bit more targeting, where you see it as an opportunity to sell or high probability or company. So you want to write the prom, like how you would use ChatGPT to write the prompts, things like Okay, make sure you mentioned the company and focusing on these services. As people are choosing the tone that they like to use, we also feed out the content of the posts that they are going to comment on. So that so we can put the context and the tone together to come out a comment resonate for the user. So let’s say for example, I see these posts of man talking about these sales enablement. I choose, I choose a question tone. So ask question like, right, you spoke about the sales enablement using Twitter, what have you found to be the best strategy? So that is how it two things coming together and crafting that comment in the commenting field. However, we emphasize that we always always want to have the user in the loop, the human in the loop. What that mean is the user will always have the final final opportunity to add their personal touch, to edit the comment, and if they know the person well, but equally, you want to add that to send that they they know about them. And when they are happy, they just make the Post button. Otherwise, they can always read drop it again, and then take it from that again.

Matt Watson  14:04

When it’s triggered on your website here, it looks like this is only $30 a month.

Jason Tan  14:08

It is USD $30 a month. I believe it’s quite affordable for most of the SMB owners and the Pedigo founder as well.

Matt Watson  14:21

Yeah, that’s that’s very affordable. So I would like to talk more about using generative AI in an even even more purposes and I think looking at your pricing here, it looks like you guys also offer some services where maybe you send out messages to people or invites to people on LinkedIn. Do you use generative AI for those two?

Jason Tan  14:49

No, we are not doing those things yet. We will be probably selectively do some of those things. The core focus of the Engage AI where we are right now. But going forward equally, is going to be focusing on all the conversation. Whatever the conversation channels that occur equally, what that mean is the very next channel that we would be stopped doing is going to be the LinkedIn inbox because it’s a natural progression right? In the way that you are already commenting, and you want to bring the conversate, once you have got their attention, you want to start a conversation. And when you want to start a conversation, you is is unusual to straightaway take them out into a Zoom meeting or into the email. So, LinkedIn inbox is probably the next channel. And then when we finally nail that, and we are happy with the what we have got over that the second channel would be email. So we want to focus and progress from commenting, the inbox to email and other channel where conversation happened.

Matt Watson  16:10

So that’s on your roadmap, you’re not doing that today.

Jason Tan  16:13

That is correct. Because that is still so much to do for the common people. But maybe you guys do so much.

Matt Watson  16:27

So has, so has your business grown like like you thought it would? Is it really, really taken off? How was how was your usage and adoption of the product went?

Jason Tan  16:40

Absolutely. So we have gotten about 45,000 users. Now since we launched in January, this year, and pretty much organice, and word of mouth, and incentivize referral. With that, we have got that 45,000 user around the world with zero ad spending. So I am quite happy with it given off the number of user we have got. And they are spread around the world. Ranging from the US to Europe to emerging country to Australia to South America, we’ve probably seen a lot of the adoption in the state, as expected, in UK and in Germany as well. So Germany is a really interesting one where so the way that we have build Engage AI is to make it multilingual in a very smart way. So what I basically mean is, especially for German user, a lot of time they have to switch between using German and English. So as they are trying to comment on the on LinkedIn, they will come across those mix in whatever random order. However, as they using Engage AI, Engage AI will actually automatically draft the comment for them in German, if a comment is in German, and will draft the comment in English if the comment is in English, automatically. So I think we have got a lot of user in German, probably for that reason. But also a few early adopters are spreading the word fast in Germany.

Matt Watson  18:29

So I’m curious, since you’ve been doing this for a few months now, was there anything that was totally unexpected? Like, you guys had to make some changes or people using in ways you didn’t expect? I’m curious, was there anything that you know, you had to change along the way or was kind of a surprise?

Jason Tan  18:45

Yeah, I’ve been one of the most unexpected occurrence or incident that we notice is there was some user using it to comment thousand times in a single day. And I could not, we, I think, we struggled to understand how that is possible. Because I know from talking to various numbers of user, if they are already, they feel like they have already stretching it. If they were doing it manually, about 75 to 80 of them, with Engage AI they hope to double the numbers to about 150 or 61. An equally mean is for 1000 literally that is about five times or six time of the power user on LinkedIn who has got about 30,001 follow so we actually really struggled to understand how that how the how that is possible. Nevertheless, what I think what I would say though, is that we appreciate the effort that they are making fully leveraging the Engage AI for their prospecting activity. But what we are more concerned, though, is not how they are necessarily fully leveraging, but we are concerned if their LinkedIn account would be banned. And that is a message that we send to them, yeah, oh, yeah. Hey, I appreciate that you are making use of it. And I hope you are going to get a lot of prospect. But I’m worried for you. Because we know that the way that one of the LinkedIn, they do to detect bot, and that’s the way that we are very, very cautious, right, we don’t want to be seen as a bot. We want to be human in the world to have human in the loop. So but when you are doing so many activity, what are the way that the engineering team on LinkedIn, they figure whether you’re using bot automation, is looking at the total number of the activity you do on their site within a 34 hour. And then they have a trend. So to determine whether that is done by human or was done by a bot. So for example, when you visit a profile, you make a comment, you click on something, you read something, you set out connection request, you send a message, you read the ads, every single one of those things is considered an activity. And if you already have 1000 comments, plus all those activity, it just unrealistically possible for a human being to be able to carry that out. So that is probably my biggest message for the user. But equally for a lot of people, if they want to be sure that they don’t want to get their account banned, they have to make sure that their their activities is within reason.

Matt Watson  21:58

Well, and that’s one of the challenges with using AI and generative AI for anything sales related, right? Because I mean, people could use it for sending email automatically sending proposals or, you know, LinkedIn inbox messages, like there’s all sorts of things that in the future could be automated, right? And I think one of the jokes is that, like, my AI is going to talk to your AI. And we’re not even going to talk to each other. Right? I think that’s, I think that could be our future.

Jason Tan  22:29

Well, I get that a lot that someone used the AI to write the post, and then you use my AI to write a comment. So AI generate a lot, I think it is possible. So if we were to go back to the that particular incident that I just highlight, that would definitely always always be a small percentage of the people using AI in that way. But I believe, though purely from the observation and also speaking to all the user, majority of them are not necessarily wanting to go in power in high volume. They just want to have the, to help them to make it a little bit easier for them. Because sometimes when you look at the screen is it does have that meant the brain, you didn’t know what to say about it all, sometimes you just want to have a different angle, rather than saying exactly the same thing again and again. So that is what I believe the majority of the user would be using AI even going forward. And there will equally some company or developer is going to wanting to fully automate the entire process. And that is where the power of volume will happen. And that’s already happening on LinkedIn even before the whole AI coming into the picture right. So, I think the AI in that way may worsen that situation. But that is definitely not the route that we are taking we are going for quality versus the volume. And to that point, I do want to bring up a very interesting concept that we are experimenting what I call as second brain. Now the idea of the second brain is that that you You and I we all be relationship, we talk to people based on our interaction, but also based on how much we remember about each other. And based on how much we care about each other right as we meet okay, if I would write you again met sometime now to check in the state as I’m flying over. I will say, Matt. Thank you so much for hosting me. And I really enjoy about the podcast interview, where we touch on a PC, that I would remember that because I put that in the CRM or I try really hard to make sure that my memory remember that. The thing though, is that anyone have different types of memory. But what makes even was on the digital channel in our digital, our memory, our conversation, or scatter multiple channels, ranging from social media, to email, to personal chat application to visit chat application. So if I will talk to you for a long time, I can guarantee that our conversation will be scattered in all those channels. And I equally know that for sales for a very important meeting that I parry, I often often will make sure I read all my notes, double checking all the conversations that have already occurred, that we have already exchanged to remind me, to refresh my memory, as I am going into the meeting. Second brain aim to solve that problem by unifying and synthetic synthetisizing, all the conversation that they that crossed the Ventana that is the bigger vision. And that is where we are experimenting as we are building out the Engage AI.

Matt Watson  26:16

Yeah, that makes a lot of sense. Like I there’s even people I’ve chatted with on LinkedIn many times that even to this day, I don’t know that I could remember their name. I just remember their their picture. And you know, I see their name, but I don’t really think about it. And if you ask me later, like Oh, who was that person, I would never remember. But maybe I’ve messaged them like dozens of times even like it’s it’s just there’s there’s so much to remember. I do want to take a central remind everybody that finding expert software developers doesn’t have to be difficult. Especially when you visit FullScale.io where you can build a software team quickly and affordably. Please use the Full Scale platform to define your technical needs and see what developers are available to join your team today. Visit FullScale.io to learn more. Well, I think I’m excited to try your product, by the way. It would help me post more comments on LinkedIn. I’m curious if you know of other companies that are doing cool stuff with generative AI. You know, in relation to other like CRM systems like HubSpot, or Salesforce or, or Apollo and things like that? Do you have any knowledge of them doing cool stuff with generative AI as well.

Jason Tan  27:29

So what I think that a lot of those CRM companies, what they will start equally doing is using the generative AI to extract the data. I don’t think that technology is quite there yet. What I mean by that is you want to describe to the CRM to say so for example, I finished the meeting today. I will go to my HubSpot and the other information that I remember about you are different how inflammation so you could either structure data, I think this is where the structure data is where they are focusing. So I mean, firstly, their CRM are in the in the author’s information. So, the way that we actually using software is actually going to change and that is precisely highlighted by the co-founder of HubSpot. And I think there is a lot of company in the CRM space starting to do because at this stage where what what happens is a lot of times as the end of the information, you still have to go to browse the screen, different screen, clicking everywhere, just to extract the information. Now, what I think they are starting to do is going to be, hey, extract me the information of Matt. Tell me where exactly when did we last chat? And then what his email address. Give me a summary. What is he up to that? That would be extracting the information from the dot nine is where the generative AI or the L n is really excelling the unstructured data in the description and in the note section, so that it would be really powerful. So that is probably I, from what I observed. This is probably the big area that they are focusing in terms of whether using the generative AI to enter the information into the CRM. That is something that I am not sure, I would say the second one is even harder because the first one is actually not easy. But the second one is even harder. There are a lot a lot of company outside of the CRM are trying to combine generative AI and use it to write the structure SQL query in order to extract the data. But from everyone that I have spoken with, is actually very, very hard because you need to do a lot of gathering to make sure that you He’s doing the IB, he can write the sequel properly. But yeah, that is what the mini CRM, but also brought us in how the generative AI are being used in in the space.

Matt Watson  30:16

So I, I built a CRM system 20 years ago, and we sold it in 2011. And it is the number one CRM system in all of automotive in the United States. I was the CTO of that company. And it’s still the number one CRM and you know, I could see AI being so useful from from that kind of product where not only trying to help generate, content to send, but also just understanding the sentiment of the customer, what the customer is asking for, or trying to figure out, like, lead scoring, and what’s the next step? Right, like we sent him a price quote, did they reply? Did they want to schedule an appointment? All that, you know, trying to figure out? Like, where are we at in the deal stage of this? Yeah, like the lead scoring kind of in the pipeline, right. And more often than not, especially in more often than not, especially in this, you know, industry use case, the salespeople are pretty terrible. And the salespeople are pretty terrible at following up with people. And you almost need the software to be smart enough to make sure they’re doing their job the right way, right? Like, the customer replied, and said, Hey, do you still have the car and then the salesperson just doesn’t respond, right? Like all these kinds of scenarios. And, and I can really see AI being like, really an assistant in those in those ways. And I’ve there are people even in automotive, like my old company, they have an AI bot that helps do some of this stuff, where it’ll just keep emailing people over and over and over again, trying to get them to reply, like, are you still are you still interested in buying a car? Like it’ll keep sending like that, but it’s pretty, it’s pretty stupid. And from what I’ve heard, it’s, it’s not that great at doing that. But I think I definitely think in the future, we’re gonna see more and more of this, though, we’re, you know, as a consumer, we’re gonna get all sorts of messages that are mostly AI generated or partially AI generated. I mean, even in our CRM system, there are lots of templates, right? It’s like, there’s like a, you know, standard template kind of stuff that would get sent and you didn’t really need AI to do that. But once you’ve exchanged a couple of emails with a customer, now you need AI to help understand the sentiment, the context where we add in the deal stage, like, what is the next step? What are we trying to get them to do. And that’s where the generative AI, I think it’d be super powerful as you’re trying to push them along in the deal stages,

Jason Tan  32:42

Exactly and equally there are many companies are starting experimenting that. There are many technology companies are also starting building this sort of things up. And generally, the aim is actually going to make it easier and more powerful, and then put it into the hands of millions and millions of developers. So before the LM came into the scene, I know there are banks who are already carrying all this sort of data to try to help with the cost of their consultant to prepare for the conversation. So imagine if you call to the bank, they would actually have conversation of you in this on the screen to help them to say what patiently say, of course, the the consultant would be equally, to have the option to choose to use it or not to use it. But they are already doing that. And they are only just doing that for just the structure, data, whatever and came to the scene, though, is that it will make the unstructured data to be usable as well. And exactly on point at the call center. So you get to me about all of those call center software like the Genesis, and Avaya. I bet they are doing that right as we speak, because they would have already transcribed the date, the cost of the data, all they have to do is just to fit the transcription into the hour and to figure out the sentiment. And because of the API, available availability and the aim and all of this company are designed in this way, what will the project of doing the sediment analysis of a live car was only possible to be deployed by a large company you have had 10s of millions of the budget would now become the possible even for a single developer to do in overnight. Because transcription is there. And if the transcription is not there, you can call AWS you can call the GCP Zoo. Speech to text that is ready, ready and receptive. See daddy, so it is all happening and I see that a lot of things are happening in that space. I would only I would probably summarize in say that the messages that we are going to get in the coming years is going to be more tailored and more precise, rather than message. Yeah. That’s the one thing that well, yeah.

Matt Watson  35:19

Well, that’s one of the things that would be really useful in a tool like yours at Engage AI is, you know, I have 20,000 connections on LinkedIn. And we talked about sending people inbox messages and stuff like that. You know, if there’s a way that your product could curate from all of my connections, like, give me good reasons to reach out to people, right? Like, things that have happened, recent events, they got a promotion, whatever, you know, they raised some capital, they sold their company, whatever, like, how do you how do you interject more, you know, event kind of stuff to give me a reason to reach out to people and have some kind of reason to reach out. So it doesn’t feel like just random spam, right? Like, is that reason to reach out? I didn’t want to be very helpful.

Jason Tan  36:04

Yeah, exactly. Exactly. So those are the things that are already happening with some of those automated software. And yeah, absolutely, I agree. I think the message is that I, especially for b2b seller, I just want to echoing that message, if they are already using the fully automated software, like, they automatically connect with you, and then send you the message one, two, and read my ebook. I have a coffee, good job. Do you want to download my ebook? Again, do you want to book a time on my calendar, I just want to highlight that, if you’re in the b2b sales, it’s not going to work. Because nobody is want to be so and nobody is going to throw 10s of 1000s of dollars on you because of those drip messaging, you have to be a lot more thoughtful. You have to be a lot more personalized, you have to be a more personal touch. And that is where the gym? Well, and I think

Matt Watson  37:06

that yeah, and that’s, that’s also the problem with generative AI is it potentially is going to create a lot of spam. And you know, lower quality content is getting created at at scale, right. And, you know, ultimately quality quality content is is is going to be key. And if if all these platforms get you know, flooded with spam and junk, you know, then people aren’t going to use them anymore, or people are going to block everybody and unfollow them and all that. And quality quality is you know, important. And I think the key to a product like yours is it’s got to be an assistant, right? Like you said, it’s it’s, uh, you know, exactly the loop assistant, it helps helps me create content, you know, I, I write blog post every week, and I use ChatGPT quite a bit to help me and but sometimes it’s just asking, you know, ask it to give me ideas, ask it to take a you know, a small blurb and turn it into a blog post and I can have him there. And you know, it’s it’s we enjoy how to use these assistants. But I think if people try and automate all of it, ultimately, the quality is going to be really low. And it’s gonna be a lot, that is freelancer and for people’s

Jason Tan  38:18

Exactly. So people are going to see through that if they are using the AI to generative AI to fully automate the entire process, just to pump up the volume, people can tell, and people can see through that, and that is not going to get them the result. However, if they are using a generative AI system to help them to get over the right blocks, that are how it will only become useful. And then these are the people who will win. So I really don’t. I feel like we will have to put it in the high-level category. And when you have a group of people who completely resist the AI can totally understandable. You would have the AI to assist them but not automate the entire thing for them. Then you have the people who use AI to automate the entire thing for them. And I would say the one in the middle category, where it is this poverty is up, we will lose that. And just the Eco what you were saying about writing a blog, I am writing a book, and if you if people can tell already, English is my second language, and I’m not a writer, so sometimes, I just don’t write as well.

Matt Watson  39:35

Well, if you need to hire software engineers, testers, or leaders, Full Scale can help. We have the people and are able to manage a team of experts. Please check out my company, Full Scale. All you need to do is answer a few questions on our platform matchup, which is a fully vetted, highly experienced team of software engineers. Please visit FullScale.io to learn more. Well, Jason, thank you so much for being on the show today. I think generative AI is awesome, and I use it all the time to help create content. I’m excited to try your product and see how it can help me on LinkedIn. I’m not going to post a thousand a day that would. That would be like one a minute for like 17 hours or something. I was trying to do the math earlier. That sounds crazy. But I think it can be really powerful to do, you know, ten a day or something. So it might be very helpful for me. I’m curious if you have any last-minute tips for other entrepreneurs out there who are thinking about starting a company just like you did.

Jason Tan  40:32

I would probably say the number one thing is, before you do anything, just think about where your customer is, where to find them, how to find them, and how to be in a relationship with them, especially if you’re in the B2B. That is the really, really the number one, number one thing that I would pass it on to other founders or even to my kids. Building things is going to be easier and easier. And it’s going to be even much easier in the coming future. But distribution and selling is going to be harder and more expensive.

Matt Watson  41:07

This was an awesome episode today with Jason Tan. So, I’m glad he could join us today to talk to us about Engage AI. Definitely seems like a very cool tool that a lot of us could use on the b2b side. You can check out his company at Engage-AI.co Jason, thank you so much for being on the show today.