AI Should Be Human First, with Julius Neil

Welcome back to another episode of The Human Side of AI. I'm Flora, your host and Chief Happiness Officer at Club Jam. My guest today, Julius Neal, has worked across 4 continents: Japan, Qatar, Sweden, and now Iceland, where he helps a biotech company make cancer medicine more affordable. Woohoo! He also hosts his own show, 10x AI with Julius Neal, and of course I'll link that here. If you're a small business owner wondering how AI I fits without losing the people who run it? Stay with us. Here's our conversation. Enjoy.

Hello.

Hello, Julius.

How are you?

Wait, wait, wait. Yeah, wait. I'm just figuring out. Start video, right?

There you are. Hi.

Hi, hi, hi.

How are you?

I'm good. Where are you located?

Panama.

Panama. Oh, it's. I haven't been there yet. It's like the bridge. Yeah, yeah. It's like the bridge in Central America, right?

Yeah.

Between the north and then the south.

Yeah, and I've heard—

You have the severity. Really, you should go. You should go to Iceland.

Why? What's the best part of Iceland?

I think the nature.

Cool.

Yeah, I'm not—

Panama.

Yes.

That's my answer.

Really?

What kind of beach is Iceland?

Ah, the glaciers, you know, the fjords, you know, and if you want some puffins also, you'll be able to see whales and all that. So I was not big— I was not a big fan of Iceland before. So early— earlier, I really don't want to go to the Nordics because it's very expensive.

Okay.

And then before ice— yeah, before Iceland, uh, I had a project in Sweden. Okay. And after is Sweden, and then I'm here in Iceland. I don't know what's in the Nordics, but maybe this is, this is, you know, part of my fate and destiny to be here. And I've been all over Europe. Yeah, uh, I was in the north also.

Okay.

It's like, um, Skellefteå. The town is called— the city is called Skellefteå. And during wintertime We usually get around -45°C degrees, yeah, -25°C. But when I moved here in Iceland, I really missed that weather. I like it. Yeah, I like the -23°C and -25°C.

And then before Sweden, where were you?

I was in the— I was in my home country in the Philippines, but I have worked all over the world already. I have worked in Japan, I have worked in Singapore, I work in the Middle East also, Qatar and Oman and all these places. Okay.

Yeah.

Yeah.

Yeah.

Into it. This is, this is cool. Okay. Hey there, Julius. How you doing today?

I'm very good. Um, very, you know, excited to be here in your podcast. So I've been very busy the last, you know, last few weeks because of the summer, you know, here in the Nordics when it's summer, everybody goes on vacation. So it's totally like Very, it was very slow. You know, when I was— that's what I'm— yeah, you know, in all of my, you know, in all of the countries that I have worked with, this is the only part of the world where hospitals, you know, close during the summer.

Hospitals?

Yes.

Well, okay, so let's back up a little bit because you and I got to chat a little bit before I officially pushed record here. I'm in Panama, you're in Iceland, you're from the Philippines. Talk to us how you got from the Philippines to Iceland. Share that journey.

Okay. Yeah, so I was born and raised in the Philippines, and then I have Spanish blood in me because my great-great-grandfather is from Spain. And I don't speak Spanish. My father speaks Spanish because in their curriculum before, they speak Spanish. But when the Americans, you know, colonized the Philippines, they removed the Spanish. And only English, and that's why I don't really. But a lot of our words comes from the Spanish, you know, from the Spanish words, roots, you know, in Spanish. That's why I can understand some of the Spanish language, especially cilia, mesa, this thing, these words. And then after graduation in college, I was already— in my heart, I never really wanted to go outside of my country. I wanted to stay there and just, you know, build a life in the Philippines. But my first job, unfortunately, was in Japan.

Why unfortunately?

I really don't want to go because unfortunately I was in Japan that time and I have 2 offers because I was in chemistry and I really, I want, I was, you know, I don't know what to do. So I applied for a straight PhD program in the US. So I have an offer in the US to study for 5 years to be a doctorate in chemistry, or can I actually, you know, go to the corporate all at the same time after graduation? This both. So I decided, okay, maybe it's better for me to get, you know, because more money in Japan than the stipend in the US.

Wow.

So I decided if I don't like Japan, then I'll just go back in grad school. And then the rest is history. Then I went over all over the place and now I'm in Iceland 25 years after.

Wait, but okay, hold on. You missed some, you missed some things there.

Okay.

So you studied chemistry in the Philippines.

Mm-hmm. Yes.

A doctorate program in Japan?

No, no, no, no, no. I was, I was, I was after graduation. I don't know what to do.

Okay.

So I applied for a state PhD program in analytical chemistry in the US. I was accepted and at the same time a job came to me. I actually did not apply, you know, as a firm just contacted me if I wanted to start my career in a semiconductor industry in Japan because they wanted somebody for failure analysis. And then this director or the vice president during that time, he cannot hire somebody in Japan who can speak English and he is a Filipino. He's half Filipino and half Japanese.

Okay.

So it's the—

So I'm having a hard time, and this probably isn't the right place for this conversation, but I'm having a hard time understanding like how a chemist lands with a conductor. I don't understand that correlation.

Yes. Yeah. So there's a lot of chemistry in semiconductors because there is a laboratory in the— so in that area, there's a failure analysis laboratory. Which uses a lot of chemical and metallurgical equipment.

And like, like trains?

Uh, we are, we are producing hard disk drives. You know, these drives that you use, that we use to store all the— I was in the storage, storage, uh, storage product division. So I was in the failure analysis division in that company.

Interesting. I wouldn't have— I would have thought maybe like engineer, software development, but but a chemist. Interesting. Okay.

Yeah, yeah, because of the equipment that we are using, and there's a lot of chemistry in there, not only engineering. There's a lot of chemistry going on with the formulas, you know, with the layerings of the media. So chemistry is also good if you don't need design background, but if you need a chemist's way of thinking, digging into the deep, the deeper details of chemistry. That's the engineer— that's the thing that engineers cannot do.

Wow.

They are more on the— they're more on the keeping, you know, keeping the product alive. We are more on how is the product inside working.

That's so cool. Okay, okay. So we have a lot— we have so much to cover. Okay, so then how long were you in Japan?

I was there 1.5 years.

And then?

And then after that, I went back to the Philippines to set up, you know, to set up our labs there.

Okay. And then?

Because I was trained in all the designs, you know, design engineering and all the parts of the, all of the parts of our, of our, of our manufacturing. Because for you to be able to do the failure analysis, you need to be able to understand every single step of the way, you know, from the materials, you know, from the, from the designs, you know. So all of this, I have to understand that. And then I went back to the Philippines and then set up the laboratory and then we go to company after that. And that time I moved into— I got bored. I got bored in the semiconductor industry because I don't want— I don't like clean rooms. If you see, you know, the clean rooms, right, you have to have that— we call it the bunny suit. You go inside the manufacturing plant and you only see the eyes. I don't like that.

Oh, okay.

Yeah.

You know, I don't like going inside because If you go inside and you want to go to the toilet, you have to go outside again.

Very inconvenient.

Yeah, so I realized I don't like this, so I have to— so I move into another industry, which is the testing industry. So in that testing industry, that's— yes.

Was it mainly because of the uniform you had to wear?

Yeah. Yes. It's very inconvenient.

But it was mainly that?

Mainly that because I'm getting annoyed because I drink a lot of water.

Good.

I drink a lot of water. I exercise a lot. And as a— in a Japanese company, you work 12 hours a day until Saturday. Okay.

So then what happens after the Philippines?

After the Philippines, I went to, you know, a job that everybody got surprised why I went to do that job. It's a low-paying job. But I saw the opportunity to be able to open, you know, to open, to open my career in different pathways because that time I already, I decided that I need to be a generalist than to be a specialist.

Okay.

Because when you're a specialist, I'm only specializing in storage products and semiconductor. And I saw that time that a lot of companies already closing down.

Okay.

And when you see the job market that time, you will see like For my position, for example, if you apply, maybe around 300 to 500 people are going to apply in one position. So I realized, how can I beat these guys, right? How can I beat these guys to getting that position? If, for example, you know, I'm, you know, if for example, I'm going to get laid off or if I'm going to want to transfer to another job, which most people are doing that. So I realized maybe I can just, you know, jump into other industry. And then for me to be able to do that, I have to find an industry that covers a lot of that. So I transferred to a testing company, a UK-based company that handles, you know, toy testing, textile testing, you know, wastewater testing, semiconductor testing as well, microbiology, food testing, chemical testing.

Everything.

So I was— yes, it's everything. I was exposed to that, and then that's the time when I realized I'm so happy that I took up chemistry because that's where I realized that a lot of industry have chemistry in it. From the makeup that you use, from the lipsticks that you use, the shampoo that, you know, that we do, you know, we use every day. So everything has chemistry in it. And the most interesting part during that time is I was able to see that, you know, in every industry I just have to tweak some of my skills or just ramp up some of my skills to be able to fit in that. And that is exactly what I did. So after that, I, yeah.

And did you have to wear a bunny suit?

No, no bunny suit because it's already a supervisory position.

Okay.

Even though it's a low-paying job. Yeah, even though it's a low-paying job, but I have several people under me, so I was able to be exposed in, you know, exposing microbiology and chemistry and toy testing, it's textile testing. If that's why I really understood why H&M, or, you know, some other, some other, uh, like Polo, or you buy some designer clothes, it's very expensive because we do testing on that. It's very expensive to test. It's very expensive to test that.

You mentioned the UK-based. Does this mean you were in the UK at this point?

No, I'm not in the UK, but the, the, the, the company is UK-based. It's an international company as well. So that's what I did.

You left the Philippines at this point in your life?

Yes. Okay.

And then talk us through what's next.

And then after that, that's where I went to Singapore. Then I stayed there for a couple of years. And then I got a job also after Singapore. I got a job in Middle East. So I work around Middle East like Oman, you know, Qatar.

What?

And then I— In Qatar, I was doing a wastewater treatment plant. It's a renewable energy. It's a very big project by— it's the Singaporean government and the Qatar government. So it's end-to-end. It's renewable energy. So we process the wastewater, and then this wastewater, we process that into very clean water. to be used in the industry, like pharmaceutical. So whatever waste that we get, that they get in the households, will be recycled and then being used, sent back to the industry for use as high-quality— Yes, high-quality water for pharmaceutical, for food testing. Imagine it's coming from waste. And then the sludge, you know, those, like, what do you call this, the sludge that we get from there, we convert it into fertilizer and sell it to, you know, to some Asian countries.

Awesome. Okay, so then how long were you with them?

I was there around, uh, I was moving around maybe 3 or 4 years, something like that. Yeah, moving around, moving around that.

Okay, and then what?

And then after that I went back to the, to the Philippines. That was— am I in Philippines or Oman? I forgot about that. I think it's the Philippines. And then I can't remember after that. I have so many gigs after that. I mean, like side projects for consult—

Yeah.

That's where I started consulting. That's where I started consulting because of the broadness of my— and then, uh, I had also, I also went to Oman, like for a project I had, like, uh, for, uh, I think it's around 1 year for that, but not only in Oman, I was Moving around Saudi Arabia and Oman.

So then what brought you to Iceland?

Before that, I was in Sweden. After all this Middle East, you know, gig that I had, the projects, I went back to the Philippines. I decided, okay, I wanted to relax now and, you know, focus more on the family. You know, that's what— that's my plan. And then a call came From an executive search firm from Sweden, and they wanted somebody who can help them with the transformation of their process, which also has 2 parts, which is the mechanical part, mechanical testing part, and also the chemistry part.

Okay.

So I have experience in both.

What kind of both?

And then that's why it's an EV battery industry. It's like the battery of— yeah, if you are If you have Tesla or some Chinese, you know, Chinese EV battery, it's like a competitor of BYD.

Oh, wow.

So it is, yeah, it is supposed to be the largest, the largest EV battery manufacturing in Europe.

Wow.

But yeah.

So that was in—

Unfortunately, that was in Sweden. That was in Sweden, that one. But unfortunately, it closed down.

Okay.

And then how did you land—

It was bankrupt. In Iceland, this one I really don't know how did I land in Iceland because yeah, I just I just really don't know what happened if I applied for the job because I already know that you know that Sweden is going to go bankrupt but I really did not remember if I applied for this position or not. Okay. I just had an email and they said we wanted to you know to have a setup interview and blah blah blah and all this. Okay, I'll just I'll just try it. And then, yeah, that's— the rest is history. That's why I'm here. So I'm now working in a biotech company. So we are producing medicines that are way, way cheaper than the generic ones.

Wow.

So we have cancer medicines that we help patients all over the world to have an affordable cancer drug. And we also have some skincare— not skincare, skin treatment, like You know, if it's psoriasis, if you know that. Psoriasis. Yes. And so we have that also. So we have, this is a very relatively new company. So, uh, they, we, we just, uh, they just, uh, commercialized 2 or 3 years ago. So we only have a few products, but we have like 30 products in the pipeline for the next, uh, 5 to 10 years. Uh, it's, uh, it's like, uh, it's like a generic, like for example, you have a paracetamol and all this. So we have that. We have that also. It's like a generic. So we manufacture and then we send it to our partners and then our partners just rebrand it as their own.

Yeah.

Well, it's not actually theirs. So.

Our listeners know this, but my, my daughter is receiving chemo for leukemia and, um, we never thought we would be such advocates of chemo, but here we are. We love it. It's great. Medicine is a wonderful thing. Um, so what you're doing. Hits home. And, um, I just— yes, I mean, you're definitely a superhero. So, so in your spare time, you started this podcast.

Yeah.

Okay. I think we can step back from that though. So in the midst of your career and all your travels, AI becomes available to the everyday user. Talk to us about like how That drew you in?

Okay, so it's actually, it's actually very related to what I do in the half, in the other half, you know, half of my career, half of my career, because when I come to an organization, that's why I, you know, they have special skills in transformation. So usually in qualities, in the quality side. So I do quality transformation processes. So those are the things that I have developed over the years. So I use the Singaporean, the Singaporean principle, and mostly most of the, mostly of the frameworks that I use are from the Japanese, you know, Japanese principle. And then I iterated it based on, you know, based on my experience and combined it with the Singapore and then the Middle East frameworks and then make it my own. So I have this Nexus framework that I use for my clients and even in my job that it's a 3-part framework. It's like we have, I have the quality transformation matrix because mostly it's quality, but this one, this transformation matrix can also be used in other industries, not only quality or other parts of the of the company, can be in finance, can be in, for example, Denixis framework, it has 3 parts. So I have the quality transformation framework. So I have a framework about diagnosing, diagnosis of company, if they are in the firefighting mode, if they are in innovation chaos, if they are, you know, in transformation, you know, transformation level already, or if they are in the efficiency trap. So these things is in a framework where I have this questionnaire that they need to answer. And then from there, there will be a scoring system, and then we will have them in that framework, in that quadrant. So wherever they put the result, it depends on the result. If they are in, for example, in firefighting mode, then we need to dig more into the details of their processes. It means that A lot of the things that they encounter are always recurring, so they're always firefighting. So those are the things. If you are, for example, in an efficiency mode, so most of the things are very efficient and very predictable, but the problem is people are much more demotivated because they're like robotic. They just do it every day. It's the same thing over and over again.

Yeah.

So we need to have that balance and adaptability. So after some time, I realized that because of the kaizen I told you, right? It's Japanese. I realized it's really boring if you just do it every day. So to become, you know, a very transformative company, you have to also look at the culture. So on the culture side, so I have this framework like trust, engagement, resilience, and accountability. So it should be, you know, part of that QTM.

You said trust, engagement, resilience, and—

Trust, resilience, engagement. Resilience and accountability.

Accountability. Okay.

Accountability. So those things, you need to have that also in the, combined with the quality transformation matrix. And lastly, we need to have the lens model, which is the top management, because most of the time you see the top management is disconnected with what is happening on the ground. So the lens model I teach, you know, top executives, managers, senior managers, or VPs to be able to look at on the situation of the company in a very holistic way. Like, lens means, you know, long view, long term.

Cool.

Right? Then environment, what is currently happening right now? And then network view, do we need to have partnerships? You know? And then situational, what is the, for example, in the regulatory, for example, right now, if we do one contract, what is the drawback of this in our situation right now? Will it stop our pipeline? in the future, or will it, you know, will it, uh, will it hamper our development? So things like that. So this, this started. So once, yeah, once all of these 3 are working together, then that's what, where transformation starts.

And, and then how are you utilizing AI in the midst of all of this?

Yep. Yeah. In the midst of all of this, the AI now part of that, because I don't want, I don't advise, you know, companies to start with AI first.

Okay.

It should be, you know, culture first, you know, uh, training first, and then alignment with the top management. So that's the first one. It's like when it's, uh, it's like in technology side, we should have the architecture first before AI. This one, I would, I say next first before AI. So once you fix that, you identified what are the processes that you need, that you need to You need to improve. And then the people are aligned culturally. They have trust in the system. You know what I mean? They're engaged in what they want to do. And then they know they're accountable for each process. And then the management knows that in the long-term view, we will have this outcome. This is what we want to be in the future.

Cool.

And then that's how AI Yes. And then that's how AI will put into that. So we will identify, for example, different processes. So I usually have a pilot in a small process, like one end-to-end. So for example, in my expertise, I will go first in the lab, in the laboratory. So what are the inefficiencies in the laboratory? So from sample handling, receiving of the samples, from entering into the laboratory information management system, And then from laboratory information management system, you know, the aliquoting of the samples or, you know, preparation of the samples and then getting all the data and all this. And then also checking all the equipment, the management of the equipment, the maintenance of the equipment. All of this I have to check and then, you know, draft a plan for them. So, and part of that now, what I, yeah. Yeah.

You recommend companies use AI kind of as a final step once everything else aligns. But you personally, how are you using AI? How are you using it in your work?

Okay. So for it.

Yeah.

Okay. So yeah, so I do, I do have, I do use AI, uh, like Claude, OpenAI, and Gemini. So depending on what I want to, to achieve. So I do have a workflow. I have our own AI agent also that I work with. So I have this, uh, all of my, all of where I have, I call it Next. He's the Nexus. So all of the frameworks and all that agent, I just ask him, okay, these are the problems that I have identified. Can you identify this? Can you score this based on RQTM? And then based on that model, yes, it's trained for that. So I'm using that. So it's just giving me all the resources. That's why I was telling you, I'm already— I already wanted to have, you know, I have a platform for that so I can share it. It's to become scalable instead of me, it's because to become it as a system and just share it, you know, to the people so that I don't have to be there 24/7.

Totally. So, so, you know, outside of the work you do, you, you have this podcast and you've interviewed over 40 founders and scientists and operators. You know, talk to us, what is, what is the parallel in all of these conversations? Like what What do you, what have you found that is similar in all of these conversations?

Yeah, so I intentionally, because most of the feedback, feedback that I get when before starting and then once I did this podcast is, uh, they said my, you know, my podcast is very broad. I cover different things, but I'm a chemist and then I know the research, you know, I know research. I want to have that foundation of data in the future.

Yeah.

Because this first season that I am going to have, maybe 1 year or 1.5 years, this will be the foundation of all the future predictions that I'm going to do, for example, in the podcast. So I want to have this as a foundation of my research. What are the additional frameworks, additional variables that I can put in my frameworks? And then eventually, use that, you know, to be able to be able to create a more scalable system.

Love it.

So I can use it in my, in my consultancy. So I don't actually, you know, um, argue with them. I just tell them I just enjoy doing, but because that's number one, you know, that's number one. I just enjoy talking to people. I just enjoy getting more ideas and learning from them. At the same time, of course, secondary is I get a lot of data. I get a lot of data from them, real data from the industry, real data that I can use in the future as a foundation. You know that in AI also, right? You have to have qualified data to be able to have a very good and robust system. So that's why I'm training. So the common thing that I get from all the interviews, whether they're technical, like people who really could do the thing, and the people who are just in management, all of them, all of them just said AI should be human first.

In what ways?

Human first before technology. For example, human first, you need to be able to, you know, to train your people first and let them, you know, let them understand what AI can do. Because a lot of the failures, for example, some of the podcast guests that I've— a lot of the failures of the AI transformation is because a lot most of the people who are using AI are scared that they're going to be replaced by AI.

Yeah.

How are you going to be able to convince them to use AI to be successful in the company when they know after 1 or 2 months or 3 years, you know, or 2 years, they're gonna be replaced? So there must be some kind of, you know, cultural, you know, cultural evolution in the company that this type of innovation is good for the company and that they're not going to be replaced. So one case, one use case that is working now, IKEA, if you have read about it. IKEA, they—

Oh, the furniture.

They move all the front— yeah, the furniture store, the Swedish. So what they did is they did not lay off their workforce. They removed all the frontliners. That, that, that task that can be, you know, automated by AI. And then they upskilled them and retrained them to be interior designers in the company.

Amazing.

So now they now have more interior designers in the company, more ideas to be able to create more, you know, beautiful furniture setups, you know, you know, more, more, uh, more, uh, forward-thinking ideas or creative ideas. So that's one thing. And all of my guests is, you know, 100% in that we need to be human first. We need to be able to rally the company, rally all the people behind the AI transformation.

So, I wanna ask one final question, and I think it'll bring a lot of what we've talked about together. So, at Jam AI, at Club Jam, we work with small business owners, and many of them are starting their business, And they're wanting to be more efficient, right, with it. So a lot of this is, you know, a one-person business. Maybe they have a small team at this point, but they, a lot of them are getting their businesses off the ground or they are implementing AI in their, in their small business, right? So how, with everything you've shared on this call, how would what you've shared apply to these smaller businesses, you know, that that are wanting to use AI to really like be more efficient and productive. And I ask this because you were clear, you said make AI like the last thing you do, right? So, so how would you, how would you talk to small business owners who are not at that last thing they do point, if that makes sense?

Yeah, it really actually makes sense because I think AI will, will most of the AI, you know, who will benefit from AI are the small ones, the, you know, the people who cannot hire more people because AI can, you know, can multiply. For example, so if they, if they have a business, let's have one use case. For example, marketing. How do they do their marketing? For Facebook, for example, we have so many platforms now, Facebook, Instagram, TikTok. How do they do that? Right. They have to do it manually if they are, if they're only one person and they don't know about marketing. How are we going to do that? Right now you can actually have that, all of that in a system. For example, if you don't want to be facing, if you want, if you don't want to be, you know, speaking in front of the camera, there's an AI for that.

Yeah.

You can do that as well. If you don't know what to do, if you don't know what the script, for example, you want a script, you ask Claude, you ask OpenAI, you ask Gemini, depends what you want to do. And then after that, you have that script, put that script in any AI agent that can create an avatar of you speaking in front of that, and then that's it. So imagine, you know, 10 seconds, 1 minute for script, and then put that in the, for example, HeyGen, put it in HeyGen. HeyGen will do that for you after maybe 10 minutes. In 15 minutes, you have one video, you can just, and then you can also connect that in depending on the platform that they're using. If they're using Claude, you just upload it in Claude and then connect all of your socials and then Claude will post it for you, including the captions, including the descriptions and all that. So that's one thing. Another thing, for example, depending on the business, you can have, you can plot your process from end to end. So for example, you are a retail shop. So how do you handle, for example, how do you handle, for example, calls? So if you're just one person, you just handle call one person, right? You can just handle all by yourself. But what if there's, if you have a face front-facing retail, what will happen to you if you're one of your, one of your employees cannot answer what the question of the That one. So these calls can also be automated. We have an AI agent for that who can do all the call, can also, you know, clone your voice and put all whatever answers, because all of the answers will be the same.

Yeah.

Right. They will ask you about the product, how to contact you, what are the features, how much is the product, and then that's it. You can— that's the good thing about it is 24/7. You know, you can just say, okay, we are open 24/7. They call you, They might think that it's you, right? Because it's the same voice, it's the same, it's all recorded and everything's qualified. The next morning when you wake up, okay, I have all these leads, you have the email and you can call them back. So that's one thing. Imagine you have one agent, you just pay maybe $30 or $40 per month, but you have all of this $40 per month, 24/7 working for you. And that is only siloed system. Because this is only small business. What I'm saying, for example, in enterprise model, this can be automated from start to finish. Nobody's there. Only one, somebody human in the loop checking some of the, some of, for the quality assurance, they can have the human in the loop, but it's very less. It's very less in enterprise, but for small business, there's so many use cases for that. That's why now, is the best time if you're just a single founder to be a founder. You can just straight away, straight away create your own business and use all these AI tools and then be able to— and for example, if you have in your group who doesn't speak English, you can also use AI, right? English or any other language. You can also advertise in French. You can also advertise in Chinese. You can also advertise in Japanese. And this, you know, these agents can do it for you and they can clone your voice. They can clone your face. It depends. It depends on the use case that you want, but most businesses, they wanted to have marketing, right? So that's why I, you know, I just said about marketing.

Well, so Julie, I have 2 last questions for you because I know we're over time. One, are you real human or are you AI?

Of course I'm a real human.

Okay.

And 2, when people hear your podcast, Okay, so my podcast is 10xAI with Julius Neal, so you can listen to it in Apple Podcasts, and I have also in Spotify and then YouTube.

Awesome, great. Well, I'll share that link, and I really appreciate this conversation, and I think the work is really incredible, so thanks so much for your time today.

Yeah, no problem.

Talk soon.

Of course, if you— yeah, talk soon, yeah.

Oh, what were you gonna say?

Yeah. So I'm just saying because we have a group, right, who wanted to have some information about AI, who are just starting or doesn't have an idea, I can have an online presentation for them and give them some advice about that.

Yeah.

Just let me know.

Yeah.

So yeah, yeah, yeah. I do that as well as a free for small businesses. I do that for my home country. I do that for several countries as well for my friends. So I'll be able to help. So it's no problem. So just let me know what type of use cases they wanted, how they want it to be structured, so I can give a free session for 30 minutes or something.

I appreciate that. And I'll connect you in Jam and we'll get that set up.

Yes. All right.

Yes.

Thanks so much.

Take care.

Okay. Bye-bye. Bye-bye.