The AI Tool That Works Like 40 Employees (Saved 2000 Hours)

What if building an AI agent were as simple as texting a friend?

This week on the Next Wave, I.

Sit down with Flo Crivello, founder and CEO of Lindy, the AI agent company everyone in Silicon Valley is watching. After a year in the lab, Lindy.

Is unveiling Lindi 3.0, and Flo is.

Ready to show us why it could.

Change how we work.

We demo agents that run your CRM qa, your product book groceries, block spammers, and scout competitors all through natural language. You'll watch an agent take over a.

Browser, click and scroll like a human.

And finish tasks in minutes.

Imagine if every employee at your company.

Had an army of AI interns. That's actually possible today. Before we get started, we spent a.

Lot of time working on these episodes.

And getting on the best guests possible to help make sure that you're prepared.

For the age of AI. But most of you who listen aren't subscribed. So if you can, please take a moment and subscribe, it would mean a.

Lot to me and the team. Now let's dive in. With Flo Crivella.

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Hey, Flo, thanks for coming on.

Hey, Nathan. Yeah, thanks for having me.

I was thinking about it earlier today. I was like, I think you're like the third returning guest that's ever been back on the Next Wave. You know, other ones are like Greg Eisenberg and Logan Kilpatrick at Google, so you're in great company.

Okay. I am in really good company. Yeah. It's an honor to be here.

Yeah. So yesterday you showed me two demos of new things that you're building at Linde, which I was just blown away by, and I'm like, okay, this is perfect for our audience, and everyone's going to get a ton of value out of both of these. I don't know if you're calling them features or they're new products, but maybe you can just kind of explain and then we can just jump right in.

Yeah. It's a revamp of the app, really. We've been working on it for like, six or nine months at this Point like the entire team, we call it like Lindi 3.0. So it's basically an entire rewrite of the app. The long term vision of what we want to do is build an AI employee and we are driving towards maximal capability and maximal ease of use. Ease of use is like we want it to be as easy as like you just talk to it and you tell it what you want and just does it for you. And the capability is like it should be able to do anything that anyone can do on a computer today. Like in order to build agents like you either have to code or like even like no code tools like Lindy. It's sort of a pain in the ass. It's a no code tool but you have to like drag and drop. You need to have like a technical mindset and the capabilities like we've always been bottlenecked by integrations. Like we made like a big announcement like six months ago. We released like 6,000 integrations at once and we were like that's it. Like we will never need integrations again. And it turns out we are always blocked by integrations. And that's why Anthropic is doing mcp, right? It's like ah, like we're going to build this like universal protocol but it's never going to be enough. And so what we're releasing with 3.0 is we are releasing an agent builder. So you can just talk to it. It's just a prompt and you have a back and forth conversation and just build the agent for you. It's actually really cool because the agent builder is built with Lindy. So it's like we don't even have an admin tool to build the agent builder. We just use Lindi ourselves and that's the Lindy. And then we have computer use. So the agent builder takes care of the usability, ease of use part of the house and computer use takes care of the capability side of the house. So it's like the final integration basically like you can just see your computer and use it and it works. It's shocking. It works like better than without.

That's crazy. So you just talk to Lindy and like if I want an agent for whatever, checking my email or checking websites or whatever I want to do, you just talk to it. It creates the first vers or something then you probably can go in there and tweak it I would assume and things like that.

Yeah, no, 100% that's what it is. It's like I have created an agent to manage my Personal CRM. And it's literally just like, help me manage my personal CRM. And it's like, okay, I'm going to create an agent. This is what it does. If you want to add to your CRM, if you want to retrieve from your CRM and let me just create the agent for you. And that's what it created. Like first shot. Wow. Right? Yeah. And this is why I want to show video. I want to be real with people. People who have experience with lovable or this vibe COD applications, they know that this actually takes one or two minutes. So it makes for a pretty boring demo because we're just going to sit for a minute looking at it. But it creates this agent and then I can be like, okay, who are AI founders? I know and pre populated this fake CRM, a bunch of fake names, but it's like, hey, these are the people you know. Or I can go like, hey, add John Doe to my CRM, he's the founder of Acme Corp. And it adds a row to my Google sheets.

So right now, is this mainly with Google Sheets, like in theory, could you guys add, you know, connections to HubSpot or other CRMs in the future? Or how does that.

Or we do have connections to HubSpot. It's actually like the most used CRM on the platform.

Oh, great to hear.

No, 100%. So you can just use any connection you want. Like that's what like the 6,000 connectors that we built are still going to be useful for.

And when are you guys launching this?

On Monday, hopefully. I think by the time this ails, this should be live. Yeah.

Awesome. Have you guys had people testing this like other people yet outside of Lindy? And like what are the main use cases that people are using it for?

Oh, yeah, we've been in private beta for like weeks at this point, like maybe even months. The main use cases are, I think like CRM management is a really big one. Like go to market applications are like a really big one. So it's like SDR workflows, account executive workflows, marketing and content production workflow. Like, I can give you an example. This is the new design of the app and I'm in love with it. I think it looks gorgeous. But I can give you a super simple example. Like, find me 10 software engineers working at Zapier. And right here it's like, I found 10 software engineers. I just like a previous task, I did the same. It's like, boom, these are the names and I can just click and these are like actual people who work at Zapier.

Oh, that's amazing. So, like, could it go the next step and help you contact those people or can it not do that?

It will be able to do that right now. It cannot connect to your personal accounts just yet. So like this is like an unauthenticated action, like the prospecting action. But like the Gmail action is going to be authenticated and we're going to release that in a couple of weeks.

Awesome. Yeah. So with a computer use, could it just like go use your computer eventually and use LinkedIn and like, how is LinkedIn ever going to deal with stuff like that? It seems like at some point that's going to be. It'd be crazy.

That is another really big use case. So I can go like reach out to. I can go Flo Crevillo who works at Lindy on LinkedIn and is going to reach out. I actually think for this one we also have an action. I'm not 100% sure. Oh, it's going to use computer use. Let's see, right here. So it has found the LinkedIn and now it is starting a computer. And so again, like, this is an example of computer use. Like, while it's booting I can like show this other demo. It's getting very meta because now we are using Lindy as a QA engineer for Lindy. So we have created this agent that like, you can see it's super simple. It's like, okay, every hour you start a computer, you log into Lindy, we've given IT credentials, You create an agent, you test the agent and then if it failed, you send a message to the on call channel on Slack. And right here, like this is all completely automated. Like, this is the agent that logs in and does the credential. Creates an agent and end to end, like creates an agent from scratch. It's like a pretty simple agent at first. It's like an agent that like sends and receives messages. It tests it like, hello, can you hear me? So this is an agent talking to an agent and it works.

Wow, that's amazing.

I would be remiss if I didn't mention, I feel like at this point it's a tradition. Every time anyone talks about computer usage, it's like they talk about grocery and like flight booking, you know, Is that what this does? I do have an agent that does that for me. Yeah. So you can see, you know, every week it wakes up, it pulls. Maybe this is tmi. Like, this is my grocery list on doordash. It's pretty tame stuff. The cucumber, brussels sprouts, all of that stuff. And then you see it, it just goes on doordash and it's searching for everything. So it's like looking for brussels sprouts, adding them to the cart. Like same for like steaks, salmon, all of that stuff. And then in the end it just orders and I received the groceries. Like this is how I do my groceries now.

And can you set up like a timer where it does it automatically and you don't have to do anything? Or do you kind of like approve it every time or like what's the steps there?

That is how it is set up. Right now I'll actually switch to the flow detail. So every Friday at 5pm it's like an end of week thing. I've actually changed it. So now it sends me an email to me and my girlfriend and it's like, hey, this is the grocery list. Do you guys want to add or remove anything? And then it waits like 10 hours basically. And the morning after if we don't reply, it just assumes that like the grocery list is good and then it does the grocery for us. And when it's done, it sends another email to say it did it.

That is crazy. I've got to set something like this up.

Yeah, another one. This one is like so simple. And it was also created with Agent Builder. I'll actually show you Twitter computer use. This was like one of the very first things I tried with Agent Builder. People ask me like, how did you create this agent? I'm like, with Agent Builder it's literally just you talk to it and literally it's like I have a bunch of spammles in my mentions on Twitter. I want you to create an agent that wakes up every three hours and blocks them. That's it. And you can see here wakes up. I changed it to every 12 hours because I'm not spammed that much. But like 12 hours is good. And then goes to my mentions finds like this guy I met a blogger who releases awesome analysis. Like releases stock information every day. He is very good and deserves our attention. Rainbow emoji. He's like boom, blocked. And so I no longer have spammy on Twitter. It's just like I think that like blocks them for me. It's amazing.

I have this account on Twitter, I have the name learn on Twitter and I'm not really using it right now, but occasionally I check it and like it gets tagged by, I don't know, hundreds of people a day who are like, just talking about random stuff and then tagearn for some reason. Right. I would love to use this and just block all of them.

I mean, now it's literally. You can just prompt it, just ask you to do it, and it'll do it for you.

How does that turn? Who's a spammer? Like, would it possibly, like, block people they shouldn't who were like, just, like, leaving a comment underneath? And it was just kind of like a generic comment, like LFG or something like that, or, you know, so it.

Happened once I prompted it to, like, the AI grief tales, you know, like old people who are like, it's completely over opening. I released the thing, like, nothing will be the same again. And it started blocking them. And I'm like, hey, don't block mentions of AI grifters.

Hey, I put out one of those, like, every month or two. So, I mean, hopefully you didn't find me. You know, you gotta feed the algorithm occasionally. You know.

Yeah, they look spammy, but they're harmless. So look, I've just prompted it and I'm like, hey, like, those are examples of spammy wheels. Yeah, cool.

Yeah, I was sitting there thinking, you know, I've had Elon Musk, like, respond to some of my tweets before with, like, a crying emoji or something. Like, maybe the AI will be like, yeah, that's definitely a spammer blocking.

You don't want to block that. I mean, like, I have been pleasantly surprised because I receive a lot of, like, cry emojis, like, LFG and all of that stuff. And I was like, is it going to think it's a spammer? And I've been, like, keeping an eye on it and. No, I mean, like, so far, so good.

It's awesome. The new version of Lindy, you know, Lindy 3.0. Like, what's the main way you're using it besides shopping? Like, are you guys using it internally already a lot? Or, like, you know, we are using.

It quite a bit. We're using it a lot for. Well, the QA stuff is awesome. Like, it's basically replaced the QA engineer for us. Like, this is the kind of thing we would have paid $180,000 a year before, you know, and now it's just an agent. Prospecting is another awesome one. We have built an agent that goes on LinkedIn and finds the posts. There's a lot of posts that are like, I have built this awesome agent, like, comment agent to get it in your DMs and all of that stuff. And so we call it like comment farming. Like when people do that, we can see who's commenting agent and so we can reach out to them by DMs as well. And we can be like, hey, reach out to the person. And we actually reach out to them in a personalized fashion. So Lindy goes on LinkedIn and clicks and looks at the profile and then sends them a message that's like, hey, we saw you committed agent. Do you want to learn more about different agents that we could deploy for you?

Are you doing tactics like that to see who's following your competitors and things like that and interacting with them somehow?

We do have an agent for competitors snooping. Absolutely. And that's the kind of thing I think that's like the beauty of AI agents. I think people underestimate the extent to which they're like, oh my God, I'm going to be able to save money because I can replace stuff that humans used to do. But actually what you can do is that you can ask these AI agents to go much deeper than humans did. So, for example, the competitor analysis agent. It is kind of shocking how open salespeople are sometimes about numbers on their LinkedIn because I guess the numbers are like the resumes, right? But like they can say, hey, yeah, I have closed like $4 million of revenue in one year. I have closed like ACV $300,000 average contract value and whatnot. And I'm like, this is interesting. And I couldn't ask a human on my team, I would never ask a human on my team to like every month go and open the LinkedIn profiles of every single salesperson of every single one of my competitors and see what they've posted and all of that stuff. I can ask any kind of person.

Who you would ask to do that would probably be like a lower level employee who would do something like that and maybe they'd make more mistakes and whatnot. If you did have someone do that.

Yeah, that's right. So with AI agents, I feel no shame. I can ask you to do this thing and it's like an analysis that would have taken a human. I go so deep. Like this would have taken a human like two or three full days. I'm never going to spend two or three full days doing competitor analysis. As a startup, I can do it with agents.

Okay, let's be honest.

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So, content production. We are in the process of rolling out an agent. This one is really good. It's a combination so agents can work together. So there is one agent that's like a content strategist and there is one agent that's a content producer. So the content strategist comes up with a bunch of ideas of videos and then it forms them out to a bunch of content producers. The content producer produces the content on VO3 and then posts it on Instagram and TikTok and YouTube. And then after it posted it, a week later, it wakes back up, it looks at the videos it posted and it's like, okay, how did they do both in terms of views and in terms of comments, like, what did people like? And it reports the findings back to the content strategist, which then uses these learnings to plan the next batch of content.

That's amazing.

I'm sorry, but we've been working on this for like two and a half years. To me, the fact that I can describe this workflow with a straight face just blows my mind. Like, it's just, it's insane and it's.

Crazy like all this kind of stuff, but like, I know how amazing it is, but I have to like, try to like, you know, almost like have like a beginner's mindset to like, remember like how amazing all this is. You know, you told me like three years ago, it's like, what the hell are you talking about? There's no, you know, that's crazy. Especially like five years ago, I would have no idea that something like this was gonna be possible. But now it's like every time I have a new guest on, they tell me something that's insane. And I'm just like, I kind of get used to it. And a lot of people you talk to, they seem to get completely used to it. Like, oh, yeah, of course you can do that.

I agree. We feel this quite a bit in the office. We were at the office last night at 10pm and we were whiteboarding the plan. Basically it's like, okay, we're going to do this, we're going to ship that, then you're going to Work on that. And then 12 months from now, we're going to have basically something that approaches AGI, approaches an AI employee. You can just talk to it and it does it. And I'm like, guys, how insane is that? It's the plan. It's not a sci fi book. It's like, no, no, no. It's the roadmap.

Right, right. I mean, since the last time we talked, this already seems like half the way there compared to what you showed me last time. You've already made the fact that you can literally just talk to the AI and it helps you kind of create the agent versus you having to go manually, set everything up or use a template, whatever, that's. That's a huge step forward.

Yes, yes. I mean, and this is us, right? Like, this is the application layer, then there is the model layer. Like, imagine what's happening right inside the labs. Like, I find it kind of strange that the labs basically right now are doing victory laps. Like, they are saying, we've got superintelligence is coming. Guys, we're in the takeoff right now. We've basically got AGI and now we're on our way to asi. It's weird.

And most people are just like, yeah, no biggie.

Which is why I'm in these group chats. And there was this conversation the other day, I'm in all of these AI group chats, and there was this one with a bunch of founders and they were bemoaning the frenzy around AI these days. They were like, I'm so tired of it. And I totally get it. It's like, I'm so tired of it. There's so much grandiloquence, just so much hucksterism, so many people just promising the moon and all of that stuff. And I'm like, look, there's always going to be hucksters. But I believe that AI is actually under hyped. And I'm saying that knowing full well how hyped it is. And guys, brace yourselves because if you're tired of it now, this is only the beginning. Like, it's going to get wild out there.

I agree. I actually have a presentation right now that starts with, AI is under hacked.

Massively under hyped. To me, it's kind of like if you're like in the early 2000s, you know, and there was like the dot com bubble and you're like, I'm so tired of the, of the Internet. The Internet, like, everyone's talking about Internet.

Like, who's going to use the Internet?

Can't wait for it to be over. All the hacks still sucking, but Internet. Can't wait for it to blow over.

I'm like, yeah, I knew it was a scam. Look, they crashed. The Internet's done. It was all bs.

Exactly. Exactly.

And then the entire world changed. And.

Yeah.

And people can't realize that, you know, AI has, in my opinion, has the potential to be way more impactful than the Internet. I mean, you're talking about intelligence, you're talking about powering robots, you're talking about. It's so much bigger than the Internet. I think the average person right now, a lot of them would be comparing this to, like, crypto or something. Like, they think it's just like, okay, it's a. You know, it's another new thing. And it's like they're not getting the paradigm shift that's happening right now for all of humanity.

I think some people compare it to the Internet. Some people compare it to the automobile or electricity. Some people compare it to the wheel or fire. Again, I'm going to be one of these grandiloquent huxtails.

But, okay, go for it.

I compare it to life. I compare it to the birth of life on Earth. I think it's a new life form, basically, and I think it's going to be that deeply transformative.

I agree. I say electricity because I feel like people can slightly comprehend what I'm saying. Maybe they think it's exaggeration, but I agree. We're creating a form of life here. It feels weird sometimes. Someone posted about this other day where they're talking about, like, how it feels like way less than 1% of people get what's happening right now. And it's just an odd time to be alive and understand what's happening. I kind of find it funny now, I guess, just like all this is happening and most people just think this is, like a cool chatbot or something.

Do you ever feel like vertigo? Like, do you. Do you yourself, like, feel overwhelmed that you're like, this is wild?

Oh, yeah, totally. Especially because right now with AI, I'm like, you know, juggling four different little businesses that are all cash flowing and getting involved in more things, and AI is just enabling that where in the past there's no way I would have been able to have done that. And now you're showing me this, I'm like, oh, maybe I could be doing more.

Yeah.

And with my personality, it's like, why not do more? Of course I'll do more.

Yeah. I feel like That's a common journey that people are going through. And, like, at first they are ignorant, and then they find out about it, and, like, they're skeptical. Then they're really excited. Then they get so excited that if anything, it gives them vertigo. They're like, this is insane. This is way bigger than anyone is realizing. And then I feel like the final stage is almost one of denial. It's like once you get past the point of vertigo, some people hang out there for a while. I certainly was there for a very long time. And I feel like at some point it turns almost into a shrug. It's like, yep, I guess it's coming. I don't know what else to do or say about it. I guess I'm just going to keep living my life in a normal way until it happens, right? Yeah.

Well, I mean, you know, we had this conversation last time. At the end, it kind of slightly. On a dark note, you know, I am more on the optimistic side of where this all goes. I think you're kind of a bit more worried about where the technology goes. And not to say that I'm not worried at all, but I'm definitely more optimistic. So for me, I'm definitely on the side of, let's accelerate this as fast as possible. And for me, the main thing is, you know, making sure that the US and its allies win at this. Right. That that's, like, my overall goal in life right now is, like, I've been trying to think, like, what can I possibly do in my life that's actually important? Any small little thing I can do to make sure that countries that care about freedoms and civil rights actually win at this, and that's what spreads around the world. That's what's important to do and look.

Like, for the record, like, I am 90% optimistic. I think there's a 90% chance that everything goes well. I'm just saying, like, Even if it's 10% chance of literal extinction, that's very high. That's much too high for comfort. But look, even if things go well, I think to some extent there is a degree of instinctual mammal reaction where it's like, change is scary. I think it's just like, we currently live in the Middle Ages and we're going to be catapulted into the year 3000. It's going to be weird and fast and overwhelming.

Yeah, totally. Actually, I was having this conversation with my mom the other day. If I talked to her, like, 20 years ago, there's no way she would imagine that she'd be on YouTube all the time and checking all these websites all the time. I mean, like, life for, like, people all ages has already, like, dramatically changed. And it is amazing that we just adapt. So it feels like, yeah, we are going to be catapulted into this crazy new future. And I think people are just going to get used to things over and over.

You're right. I think, you know, you'll totally write, actually. That's what I'm saying.

Just laugh about it. It's like things are going to get humorous. Things are going to be very unusual, and that's going to be just fun and so laugh about it, I think. Yeah, as long as it goes well.

No, I guess you're right that, like, humans are very adaptable.

Right.

And it is true that, like, we've gone through many change, like, waves of dramatic change. Like, if you think of COVID right. It was just like, all right, I guess that's life now. You know, we just get used to whatever is going on, like, almost alarmingly quickly, right?

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One other thing I've been thinking about, too is like, to get back more on talking about, like, some material things for people who are listening, like business owners and things like that who are listening. One thing that's really crazy right now is, like, it's getting really hard to predict where anything is going with companies. Like, I've seen, like, Perplexity announced comments. So they've got a browser now, and I feel like, okay, well, maybe the browser is going to tell. It's almost like a new operating system in a way, with AI, it's going to touch everything. You know, you guys are, like, interacting with CRM now. HubSpot's connecting to Claude's MCP. Claude announced that they're going to be, you know, doing emails and managing your contacts. It's like, it feels like almost all of the different companies are, like, stepping on each other's toes in one way or another. And I think in the past it feels like, oh, you know, Google's doing this and you can kind of predict what they're going to do next. And it feels like all the major companies are all going to. They're all fighting for, you know, things that have a lot of overlap right now.

Yeah, I've thought a lot about it. There is one friend that I argue with all the time about this because, you know, look, if it is true that code production is going to basically be free, if it is true that you're going to be able to build any product you want in one prompt, like there's a very big if here, right? But if you really believe that you can build something even perhaps as complex as like a CRM in the limit, right, or like an email client with just a prompt, then it's true that, like the last moat left and the last barrier to entry is distribution. I think it really means that production and product is going to basically be worth zero. And I think we're going to have these immense conglomerates of mega apps and the kind of conglomerate that so far right now there's two mega apps. There's the Google ecosystem and the Microsoft ecosystem. The Office suite, those are the two players. They give you email, they give you documents to give you directories, they give you file system, all of that stuff, right? Like team collaboration, all of that stuff, right? It's telling that the only two companies that have been able to pull this off are today like two or $3 trillion companies. It's just really hard to build that much product, you know, And I think like Salesforce has been trying to be this mega app as well, but they're doing it in a different fashion. They're like, they're acquiring the acquired quip for like the office suites, the acquired slack for like the collaboration and all of that stuff. I think it is likely that we start to see more mega apps now because product is going to be less of a differentiator and less of an obstacle. And as a result, I do think that it is likely that the intensity of competition increases dramatically over the next few years.

You do angel invest in some startups, correct?

Yeah, quite a bit.

How do you think about that right now? Because, like, I recently invested in a. I'm not going to say the name, but like a startup that's doing kind of, you know, kind of mixture between like using AI for email and CRM. And then I see what you're doing, I see what HubSpot doing, I see what Clyde just announced. I'm like, okay, yeah, so maybe they already have like 10 competitors and I thought they had like one.

Yeah, yeah.

How are you thinking about that with your angel investor?

I don't. I. I think like one of the advantages of being an angel investor instead of a VC is that you get to be delightfully undisciplined about your investments. Like you get to do like vibe based investment.

Oh, this is a smart guy. I like him and I like the, you know. Yeah, total kind of his jib or whatever.

The product is great. Like, I'm also like a product guy. I'm like, that makes total sense. This a ride. Like, look, I was one of the first Czechs in lovable. I was like, yeah, I can type this thing and get a website. Yeah, that sounds great. You know, take my money.

I should have. Anton was messaging me and like I was busy. I started writing checks of like maybe like three or four months after that. Actually my first angel checks. And I messaged him later. I was like, oh, I'm so busy. Yeah, I'll check it out sometime. And just. Yeah, never checked it out.

I actually met recently a VC and this is my point about angels getting to be undisciplined. I met a VC who passed on them and they told me we couldn't get to a point of view on the future of the category and who's going to be the winner and what's going to be the mode. And I'm like, I totally get it. I get things from their point of view because they sign huge checks and I'm so glad I'm not in their shoes. I'm like, yeah, the vibes were great. I love the product. I love the guy. I just put the check in. Yeah.

And he was hustling on Twitter super hard back then. I remember he was putting out tons of videos. Like, oh, yeah, I'm building this. I'm building this with it.

Yeah. So I tried to not overthink my angel investing and it's working out so far.

Vibe invest, exactly.

You know, the midweek curve. I think that's kind of that it's like invest in cool people in good products and everything. That's going to work out.

Right. Makes sense. We probably should end with like some key takeaways of like, how can people, you know, anyone who's listening to this right now, when can they try the new Lindy and like, what would you tell people? Like, what are they going to be able to do with this that maybe they couldn't do before?

Yeah. Right now you go to Lindy AI, there's a big Text box and you type what you want in there and it's going to do it for you. I think again, that's the beauty of. It's like AI agents are no longer a cool thing that you see a lot of people hype about on Twitter. It's like, no, it's here, you got a text box, you type something, you get it. It's that simple. What people are going to be able to do with it. Think of it as a really smart, really cheap, really fast intern. And you have infinite interns now. And so that's my point about the competitive analysis is I have infinite interns and imagine I have a full time intern doing instant, insane competitive analysis. That's what they're doing. Anything that you find yourself doing more than twice, basically any task can now take you about five minutes to automate fully end to end. And so if you're going to spend more than five minutes doing this task over the next month, just create an agent for it. And basically if you do it well over time, your job should consist more and more of just operating your agents, just orchestrating your entire agent ecosystem inside of an org.

Who do you think are the main people who'd use Lindi and like. And do you think you should have someone who like kind of manages all the agents or like everybody? Now that it's simple, everyone should just learn how to do it on their own for whatever role they have.

I think it's both. We do see companies, there tends to be a champion inside the company. Like every company's got the AI guy. Right. So like that's really helpful to have. Yes, you should have that person that creates a bunch of AI agents. But again, if you fully embrace, which we do, like if you fully embrace the vision of the AI employee, should every employee report up to the same person inside the company? I don't think so.

Right.

I think you really want everyone in your company to tell them basically everybody got a promotion.

Right. Congrats. You're a manager of like an unlimited amount of interns.

That's right.

The more creative you can be, you know, more productive you can be, you can more and more to them.

Yeah, that's right. And I think insofar as you have a centralized person, that person's job should be to facilitate this transformation inside the company. I really view it as it's the same thing as digital transformations like ah, we're moving from like pen and paper and faxes to computers and from computers on prem to cloud. It's the same thing. You're moving from humans to an AI first company and you expect everyone to pitch in and everyone to turn themselves into these managers of AI agents. And so you sort of need a little bit of, you need someone to constantly be a wind in the backs of people because otherwise the status quo is going to win and people are going to get stuck in their habits. But yeah, no, I think the functions, I think again go to market. I think prospecting is a really big use case. Like SDR account executives, like coaching people is a really big use case. We've got AI agents now sitting in every meeting in the company and they report on meetings. They coach people who are in meetings, engineers. It's really useful for code reviews for QA as well. To test your application for recruiting is really helpful. It's basically a form of sales recruiting for accounting. It's more and more helpful for any sort of batch document processing. We've got a company that receives a lot of invoices. They have an agent, it uses computer use because it uses QuickBooks and the QuickBooks API is not good. I don't know if anyone from QuickBooks is listening to us. But like the API is bad. And so we were never able to make it work. And so now we're just going through the backdoor and we're using computer use and it just receives invoices by emails, looks at like the invoice number, all of that stuff finds the vendor on QuickBooks like enters all of the information. Again. It's a really smart intern.

I was sitting there thinking about like what this is going to do to performance reviews. Like I've successfully set up 10 Lindy's, you know, and someone comparing it to someone else. Oh, this other one's actually got, this person's got 30 Lindy's going and they're all like producing results. That being like how you judge how well an employee is doing based on how many, you know, Lindy's, they're properly, you know, have set up and operating.

You are kidding. But we have one employee and like they're killing it. Everyone's like, oh my God, like they're the goat. I don't know how they do it. And we as a user of Lindy, you receive an email at the end of every week that's like Lindy saved you X hours this week. And this employee shared a screenshot of their report and their report goes like, Lindy saved you the equivalent of 40 full time employees this week. It's like 2000 hours. It's like, oh My God. That's how you do it. We basically have a whole different org inside the company that we didn't even know about. This person just got a whole org of 40 agents working for them. It's actually much more than 40 agents. Thousands of agents. It's the equivalent of 40 full time employees worth of work. Yeah.

And it's kind of wild then. Do you pay them a lot more money because of that or the company owns the setup of the agents? It's kind of complicated. Right.

The company does own the agents, so don't give them ideas.

Saving you 40 times money. Give me 10 times more money. You know.

No, it's also costing us a pretty penny. Employees at Linde have, like, unlimited Linde credits, but, like, it's very expensive, actually. The tokens are so expensive. And so our own Linde build is outrageous. And we're very happy to do it because, like, in the end, our overall burn, like, compared to how fast we're growing is actually really slow, really small. And that's because, like, I actually think we spend almost as much in tokens as we do in humans.

Wow. Is most of that money going to Anthropic or OpenAI or.

Anthropic is the default model today. And yes, most of it is going to Anthropic. Jeez. Yeah.

One other thing. When you were talking about all the different use cases, can you create invoices and stuff with Lindy yet? I'm still using FreshBooks to send out invoices for a few different things. And, like, it's such a pain. It's like, why am I paying these people to just generate an invoice and email it?

It can do anything that you can do on a computer.

Okay, awesome. I got to try that.

So computer use, man. Just try it. And yes, it will create invoices for you.

Awesome. Cool. Well, it's been great having you on here. I think this has been a useful episode for people and anyone who's listening, they should check out Lindy and try it out.

Yeah. 100%. Yeah. Thanks for having me, Nathan. Yeah, it's been great. Thank you.