Mo Gawdat, Allie Miller, Gary Vee: The 6 AI Tools They Use Daily to Earn More | AI Tools 2026

I've interviewed over 50 founders and tech leaders in the past year. And I kept asking all of them the same question, "What AI tool has actually changed how you work and how you make money?" Not what sound school you've invested in, what you actually open up every morning. When did you have this aha moment with AI? Six tools kept coming up. I'm going to show you each one who uses it and exactly how it's making the money. And at the end, I'll tell you which two I personally can't stop using. Young Xiao is the CEO of OpusClip, an AI video company that went from zero to 50 million users and a 215 million valuation in two and a half years. And his number one AI tool is surprisingly chat GPT. And some of you might think, "Really? I thought founders running huge companies should be operating fleets of agents and custom AI systems. Why chat GPT?" The number one AI scale should actually go for first principle. It doesn't matter if you're using AI for design your poster, web code your prototype. I think everyone should trade AI as your thinking partner or even thought partner. Which means that when you are having a problem of understanding your users, when you are having a problem of managing your teams, when you are having problems of figuring out your pricing or all the critical decisions in your lifetime, when you are a founder. I think traditionally you will just go reach out to your coach or some more senior people or people with relevant experience to ask for their advice. But I think in this era of AI, you should run through it with your, with Gemini or chat GPT. They are actually a very, very senior, very only potent thinking partner. Instead of asking one line of questions, through as many content as possible, and also do more than 20 rounds of back and forth communications, you will be mind-blowingly enlightened through these conversations. So now that's how I practice myself. Is there a certain daily practice that you have? I talked to Mustafa Saliman on this podcast. He's a CEO of Microsoft AI and he shared that every single day, he would talk to Copilot and just tell Copilot about what the day has been like and the decision that he's made and how those decisions made him feel so that when in three months he has something like a similar problem, he still talks to the same threat in Copilot and Copilot will be like, "Oh, when you made that decision three months ago, you actually regret it." So this time, listen to this. Is there something similar that you have? Yeah, exactly, exactly. Because I think the current chatbot memory is so powerful that so one of my monthly ritual is that I ask chat to PT about what are my major decisions in the past month. Give me some comments, feedback, comment. But that means you shared everything with decision. Yeah, I shared everything. How does it like every night you just said, like, "These are the decisions I made or?" Yeah, sometimes I talk to the AI that way and sometimes I would just forward my decision just like I captured like a screenshot of our group discussion. I dropped a link of my document of a of a PRD, of a spec, that kind of thing to AI. Yeah, I kind of forced myself to document it. Yeah, to document it. Magic starts happening when you stop asking chat to PT one-line questions and start feeding it every decision, every screenshot, every document. Then it turns into the advisor that catches mistakes before they cost you money. What I can say from my own personal perspective, I use Gemini, chat to PT, but Black City and Claude, I feel like when I need support, like emotional support in a business decision, when I want someone to be on my side, I go to chat to PT. It's always that LLM that supports me in any decision, understands every feeling, but sometimes I don't want that, so I'll go to another model. Mo, go dat, former Chief Business Officer at Google X, take this even further. He makes three AI's fight for the best answer before chat to PT gives him the final version. So you have to question. And you have to question deeply. If you remember 2016, if you searched Google, Google gave you a million and a half answers, and said, I don't know the truth, you make up your mind. We didn't allow ourselves to have monopoly on what reality is. You asked chat to PT in 2023 and it said, yeah, that's the answer, 100%. That's the answer. And then you tell him no, and it'd be like, yeah, by the way, you're right. Correct. Correct. And so what does that mean? It means that it's up to you still to find the truth, even though it comes to you now in a format that appears to be true. And so what I do is I pit them against each other. I mean, I'm not a big fan of chat, PT anyway, but I start from Gemini, who feels like a scientist to me, but an American scientist, if you don't mind me saying, and then go to deep seek. And say, what's missing in this? And deep seek would say, oh, that's too American. This is missing that and this and the motivation of this and the politician. You're just a business idea, right? Yeah, 100%. A chat that compares everything to each other. And then I take it and sometimes give it to Chagy PT and say, can you write this better? Yeah. You know, I don't mean that in a bad way or the California girl, right? You know, Silicon Valley girl. So Chagy PT is a bit California. It just wants you to hear what you want to hear. Right? So it writes it really. Very nice. Yeah, it's nice. It's nice. It's elegant. Cleared. Gives it to you. And then I give that back to Gemini and I, you know, or Groc or whatever. And you keep doing that. And remember, when I was studying engineering, we were not allowed scientific calculators. Can you imagine? I'm that old. And when they gave me a scientific calculator, it reduced my problem solving time by 50%. Most of my friends would take that 50% extra, finish their exams and go out and sit with their girlfriends. I would take the 50% extra and do the solution twice. Right? That's the chance you have today. AI is going to make you dumb if you outsource your problem solving to AI. AI is going to make you the smartest you've ever been. If you take the parts that are not natural to the human brain, you know, things like crunching the massive amount of information, things like searching at speed and so on and so forth, but get the AI to do the work so that you do the intelligence. Yeah. Right? And if you keep doing that, I believe that today I'm borrowing maybe 80 IQ points from my AI's. Right? And an 80 IQ is the points is very significant because AI Q is exponential. So the additional 80 is bigger than all of my IQ. Most said that most people use AI to work less. The smart ones use it to earn more. For me, when it comes to work, when it comes to actually making money, if you've been watching this channel, you know what's coming next. Claude, right? My entire team works in Claude projects now. The same team of producers that we had a year ago now puts out twice the content every month, which actually doubled our revenue. And it all started with one podcast with Gianne Katan Farouche, who founded AI classes at Stanford with Andreying, one of the most influential figures in the AI field. After that conversation, I went home and rebuilt how my whole team operates. And a few weeks later, we got the results. That work era, we are a big entropic shop internally. We use a lot of clouds. All our engineers are on this version of Claude, called Claude Max, which is very powerful to code. And across the company, we have things that we call skills, anthropic called skills. You can think of them as files that define a certain way of doing a certain thing. Like, here is how we recruit at work era. Or here is our brand guidelines. This is the font we use. This is how we speak. These are the color palettes that you can use. Before, if an engineer wanted to build a website, they would have to call the marketing team at the end and say, can you review the font? Can you review the alignment? Can you review XYZ? Today, because it's all coded, you don't need anymore to talk to a human. The engineer just asks the LLM, can you just verify that the copywriting is correct? The color palette is right. And they know that the marketing team has maintained that code. I love that. And so it cuts communication. And it's very powerful. You gain actually so much speed and create so much more time for the marketing team to think about, do we need to change our font? Do we need rather than like every day talk to an engineer and say, no, change that font, change that font? Do you check the result afterwards? Yeah, the engineer does. Yeah, okay. The engineers do. Here's what I did after that podcast. We're on so many social media channels. We're on Instagram, YouTube channels. So I built a cloud project for every single social media. There's LinkedIn cloud project, newsletter cloud project. And for example, if we take this YouTube's cloud project, it has everything baked in. My voice, my past episode performance, and that's all in notion, so it's connected directly to our database. The topics my audience actually engages with and my interview style. Now it knows my channel so well. It gives me better advice than most expensive strategists. And by the way, I'm not saying that we stopped getting outside help like a strategy. Sometimes those people suggest something we haven't even thought about. And our cloud hasn't even thought about like one of the strategists suggested we work on GEO, generative engine optimization. But cloud. What did the whole strategy and actually helped us work on it without us having to hire somebody who specializes in that? And most people still have no idea this is possible, which makes helping others set up their AI a seriously underrated niche. Now we're starting to use AI agents too, and the workflow that inspired me the most was Ali Miller's. She's an ex-Amazon AI leader, and what she velled for herself is kind of insane. So the last two years we ve seen like a big paradigm shift about a year, year and a half ago into like new age agentic AI. So two years ago you could kind of ask AI to do research for you, you'd get back a sort of synthesis, and you would have to take that knowledge and then do something with it. But now the AI system that you're using or multiple agents can take action on your path. And when I look at an AI assistant that I just ask questions who can get an answer back, versus a thing that is meaningfully taking delegated work from me and managing multiple hours worth of work and workflows, this felt like 20 to 30% productive. This depending on the task is anywhere between like 2x and 10x. So you're saying you actually have an AI agent who is your assistant who's doing things for you. Can you describe what it actually is? I have 36 proactive workflows with 28 like master agents and each of them spin up probably two on average, so call it 50 ish sub agents. And those are so that's yeah, that's almost as one thousand agents, right? Almost 2000 agents. It's a not per workflow just as a total. So somewhere around like a hundred total agents. And what I look at is what can AI do that I don't have to kick off? Like this is one of the biggest changes. And I think any single person, even if you're just asking it like, Hey, find me industry news this morning. If you know that you're going to go to it every single morning and ask that question, that process of asking not just the task itself and the prompt itself, but the task should be automated. So if there's like a competitor that you want to check in on every single morning, that should be scheduled. You can schedule things inside of cloud code work inside of code X inside of cloud code. You can schedule things within all of these tools so that you while you're sleeping or doing other things or on a walk or hanging out with your dog, okay, that things can be running on your behalf. So when I say 36 proactive workflows, those are the things that my hands are up and they're constantly coming in as a new stream. Is that an email that you're getting every day or how does it look like? That's a good question. Most of them are emails. I have them routed into different folders, but just two examples. Every single Friday morning, I have a recap of all of the urgent emails that I have not yet responded to, ranked by urgency, drafted, you know, some replies that I can get to it faster. It includes little, the ability to delegate to people on my team and reminders if I don't reply to those emails. So that's a Friday proactive agent that is scraping, you know, my Gmail for the last five days and gets me a little download. Second one is morning briefing. So every morning I wake up, my AI agent has already been working for me for several hours, which is great. And I wake up and I get this full read out of industry news, things that are happening in New York City or San Francisco that day that I can just have a social life. God forbid. I get, you know, kickoffs for my meetings. So if I'm having a client meeting and I'll be sitting down with like a Fortune 500 CEO or maybe it's their CFO and I haven't met with them yet, then in that proactive system, in that morning brief, all I have to do is like write back with a keyword and I can kick off an AI agent to make assets for that meeting. Another alley's hack that everyone who's watching this should copy guidelines files that tell every AI on your team, how you write, how you think, what to never do. We built hours for every team member and every platform podcast, YouTube, Instagram newsletter. And before we uploaded those files, every draft came back generic and very AI-ish. And I spent some time rewriting. So it sounds like me. Many documents do this work. Anti-AI writing style, how to never sound like AI, no generic AI phrasing, no filler, no clichés. My voice profile, how I actually write, tone, rhythm, openings, endings, my favorite texts, vocabulary, and the fact dossier. All the very fat context about me, my work, my audience, that stays consistent everywhere. I share all these full templates, breakdowns and instructions alongside other AI workflows in my newsletter, Future Proof. If you subscribe using the link below, I will send you the exact three-step workflow that we use. The link is in the description. And speaking of the newsletter, that's actually a perfect way to show you the next tool. To number three, it's called design.com and thank you so much to design.com for sponsoring this segment of the video. This one is for founders, freelancers, consultants, anyone building income outside of a 925. It's an AI design platform that handles your entire brand in one place. Like logos, websites, business cards, social posts, presentations. The thing is, in 1026, your competitors can launch a product in a weekend. AI has collapsed the build cycle. It's no longer a moat. What's left to compete on is how you understand your audience, how you feel the problem, and how credible you look the second someone lands on your page. Most first-hand founders ship with a logo that doesn't match the website and socials that don't match either. And dot com closes that gap by turning it complex, fragmented design process into something simple, fast, and professional. Let me show you how it works. So I'm building this free newsletter and we call it future proof by Silicon Valley girl. And I'll use it to walk you through a few key features. Let's start with the basics. Logo creation. A type in the name and I hit generate. The AI instantly creates a full set of logos tailored specifically to my brand. So I started guiding it further. I add our brand color red and include keywords like newsletter AI career. So design.com actually understands what future proof is about. Then I pick a style direction, abstract, mascot, corporate, classic vintage, and the AI refines the results around it. From there, I find to and everything through the AI chat replaced by Silicon Valley girl as it tagline below the name, make the background white and the text red, replace the typewriter icon with a laptop, all the simple prompts, no design skills needed. And here's the most useful part. Once your logo is set, the platform automatically generates branded versions of everything else. You can create everything yourself in minutes with AI. A website, letterhead, social posts, invoices, even a full presentation, all powered by a library of over 1 million AI enhanced designs 100% commercially safe and ready for real business use. The link to design.com is in the description. You can try it for free. Okay, the next one is not really a single tool. It's a trend that I'm seeing an interview after interview across dozens of different tools. It's vibe coding. You describe what you want in normal language and the AI writes the code for you. I recently sat down with Gary Vaynerchuk, early investor in Facebook, Twitter, and Uber, and he said something worth remembering. Learning to vibe code right now is a real window to build wealth. And that window won't stay open forever. My intuition is it has the chance to create a hyper micro wealth, the fragmentation of vibe coding and all this stuff and the stuff we're already seeing, right? Kids building out products very quickly and having success. If I lost my reputation and my personal brand, but I kept my knowledge of how to make content on social, I would build an app that's $5 to $50 a month. And I would make unlimited organic content on LinkedIn, Twitter, TikTok, and try to get customers. That's very interesting approach. I just talked to Bill Gurley, who's like a legendary investor and he told me you can't even imagine how many websites are there that are just like password photos that charge you six dollars. And yes, AI can do that. But because we're still so used to going to a website and paying and they're making tens of thousands of dollars a month and we just don't realize it. Because for me as a person Silicon Valley, right? I'm looking at all the businesses and I'm like, okay, I can totally see how anthropic releases new lines of codes tomorrow and this business is done. And that's not how consumers work. He's right. Exactly. It's not how it works. And in fact, I would argue what I do for a living and what I'm obsessed with actually explodes in this next era. It's all going to be about brand because you have to discover it. There are in 30 years by default, somebody will be like, oh, let me go to the main AI thing and I don't need to. But there is going to be a long period of time here. Yeah. So there's this long tail. We still need to adjust. We're as humans. We take some time to adjust in your reality. So when you're Silicon Valley girl and you even know who Bill girl is, you live in a different world than the 99.9% of people on earth who've never heard of Bill. And that's opportunity for everyone who's listening. Correct. Because transitioning to that era together with small companies, small businesses, other people educating them. I feel like there is a lot of potential there. Gary's right. And it's already happening inside billion dollar companies with employees who aren't coders and aren't experts. Listen to what Dolingo CEO Leo von An told me about two of his team members. We now teach chess on Dolingo. So, you know, for a long time, we only taught languages now we teach a few other things. Chess is the latest course we added. This course got started by two people, neither of whom knew chess. neither of whom knew how to program. They basically by coded the first prototype of it. Now, the final version that is actually in the app, of course we put some engineers in there, et cetera, but they really got very far. In a span of about six months, they created the whole curriculum for chess. They created a prototype of the app all entirely with AI. And again, these people did not know any chess. - And whose idea was that? Was it their idea? - Their idea to do that. They also, well, they're the ones who wanted to add chess. By the way, they came to me a year earlier to say, we want to add chess. I said, I don't want to add chess because it's just a game and we're an education app. But what happened was that a few months later, I talked to the minister of education of my country. I'm from Guatemala. And she said to me, our education system, our public education system in Guatemala, so broken that I'm considering sending every student at chess board, so that at least they'll learn logical thinking. And when she said that to me, I thought, oh, wow, okay, this is actually useful. - Part of education. - Yes, so then this is when I told them, okay, you can add the chess course. But I said to them, but I don't have any engineers to give you, so go ahead and they figured it out. - Six months, right? - About six months, yeah. - And now is your fastest growing course? - Yeah, it's, I mean, at this point, we have seven million daily active users that are learning chess. - Wow, this is fascinating. Can you tell me step by step, what was their process? So if somebody's watching and they're like, wow, if Dolingo is able to do such a spin-off, which is kind of different from language, if I want to start something with AI and build a fast growing product, what are the five steps they need to take? - These two guys, the first thing they did was probably learn chess, probably, because they didn't know any chess. And that's one of the reasons they wanted to add it, 'cause they themselves wanted to learn chess. But after that, what they did is they really started looking at, you know, kind of the different tools that are out there for learning chess, that they're basically doing market research, try to figure out what's out there for learning chess. They found that really what was out there was not all that great. And then they decided to start vibrating something to be fair. This person does have some technical knowledge. They're not an engineer, but they have some technical knowledge. And so they downloaded cursor. And at first they made just chess puzzles. Then they realized that the AI was not very good at making chess puzzles. So then they decided to train it with some, there's an online database of a lot of different chess puzzles. So they trained the AI with that, and they got a lot better. And then after that, what they started doing was just more and more mobile prototypes for me to play with until I told them that it was kind of good enough to really put it in the app. - We're talking about all of these tools. We're probably in less than 1% of population who actually uses these tools, like with social media. I remember when I started 12 years ago, it was a really, really small percentage of creators. Now we're the whole industry. It's so much harder to break in. I have 35 people. My team, I'm sitting in the studio that I built in my house. It's the whole thing. It's my full-time job. I still have my company, but I don't run a day-to-day 'cause I don't have time. I have this. The same thing is happening with AI. We're in less than 1% actually using it very actively. And there's so much opportunity right now. Speeding up your work. Teaching others how to use this stuff. Realize that you have this limited amount of time where you can use AI to your advantage. And if you're watching this video, you're already in that small group of people who's gonna become much, much more productive. And I just came back from TED. And everyone was talking about like in a few years, a lot of companies will lose to their competitors because their competitors increase their margins by a lot by using AI. So you can not only increase your productivity with AI, but also find people like you and help them do that. Maybe it's your new business, maybe it's a court, whatever it is. But anyways, I just want you to realize we're still very early. And this is the worst version of AI that we're seeing right now. Yes, it makes mistakes, but it's already amazing. And it's only gonna get better from here. And the thing that you should be working on right now is learning how to communicate with AI the right way. If I can create a list of top three AI related game changers in my life in the past few months, this one is gonna be top three. I stopped typing. I talked to my computer. I talked to my phone. I talked to my iPad. I use an app called Whisporflow. I installed it across all my devices and my prompting became so much better. Ally Miller told me to complain to my AI. You know how easy it is to complain when you're talking versus typing? 'Cause when I'm speaking, I naturally give way more context than I'd ever bother typing. So my posts, emails and drafts, they sound more like me and also saves me so much time. Complain to AI, you can say, oh my god, Rinna and Ally were telling me to make all of these freaking context docs. It feels like it's gonna take so much time. Claud is likely to come back and go wait a second. I will ask you the three questions that will give me the highest signal and therefore we will only use five minutes of your time. - Yeah. - And we'll at least get you started with some sort of context docs so that I at least moved away from completely generic into 50% Ally Zone. And then I can save 100% Ally Zone for later, but like, you gotta start. - And here's what I notice. People who are advanced in AI are not the ones paying the most to their AI tool. They are the ones spending the most hours inside one, giving it context, playing with that, adding files, building processes. Alex Mushrabov built Hicksfeld to 200 million in revenue in nine months. And here is how he uses AI. - I am an immigrant. So you know, it just takes quite a bit of effort to come with a logical linear storyline. All three mini became my coach, really. This was the first aha moment for me. The second aha moment was around Diminitry Pro model. So I felt that my economic productivity really depends on like how much I use Gemini3 model. These capabilities of the model which can process voice, which can make image, but which has also deep reasoning capabilities and deep research, this was mind blowing to me. So that's why I feel that my just economic throughput really depends on how much I use Gemini3 today. - I also love using Gemini. Here's my use case. So Gemini is Google's product and Google owns YouTube. So it actually understands what makes a video work on that platform. It's trained on a lot more data versus other all alone. So what I do, I upload the script of a video I'm about to shoot and ask it to identify where viewers are likely to drop off. And I can do the same with a video that's already recorded. For example, I sit down in an interview, it's one hour and I'm like, okay, we need 40 minutes. I go to Gemini, upload the transcript and I'm like, identify the least interesting parts that would affect how the video is performing. So here's the six tools. The richest AI founders are using right now. Pick one today. Start with whatever is blocking your income. Proplexity computer, less you connect your quick books, if the delity you troll Schwab, if you're interested in investing. Claude is really good at spotting patterns. Chad GPD is very supportive. So if you need strategist, I'd go to Chad GPD. If you more like into deep analytical thinking, spreadsheet, tables, that's Claude and Gemini. It's a matter of giving them information and tailoring them for yourself. And as I mentioned, two more for me personally. Proplexity computer. So on the 15th of every month, it pulls from my quick books and sends me a full picture. My margin projected tax owed tax strategies. I can run this month to lower the bill comparison to my last year. What's eating into my profit? Like all this high level CFO type of review. I used to use my accountant who charges by the hour. When we talk about this, now I use Proplexity computer and it also runs my investments. I actually used Claude before that to create my investment strategy and Proplexity executes it. So I am investing heavily in a S&P 500. I'm buying Google stock, I'm buying meta, I'm buying Microsoft, but I want to be dollar cost averaging and I want to buy them on the right days. So Proplexity computer tracks when the dip is happening and tells me to buy on that day. That's it. That's my dollar cost averaging. And also because I receive those emails regularly, I feel like I'm more disciplined when it comes to investing. The second one is granola. Every meeting I take gets recorded, transcribed and sorted. At the start of every new meeting with the same person, I have first of all a clean list of follow ups waiting. What we agreed on last time, what I still owe them, what they still owe me. So we don't start from scratch. And then I heard somebody say, if you're not recording your team's conversations, you're basically losing on a lot of decisions. I totally agree. Granola now has folders for every team member and I can upload them to Claude, run them against that person's KPIs and numbers. I feel like my Claude is becoming a digital COO. Of course, I still have my COO and we make strategic decisions together, but we're able to accomplish so much more because we actually have this operational analyst. And there is a rule that I now run for myself. If it's repetitive and if it's not the work that depends on my creativity, I automate it. In 2026, it is not optional. So if you want to stay ahead of AI and keep growing your income, please subscribe to this channel because here I'm dedicated to sharing the most practical tips with you and see you in the next one.