Replace Yourself With AI (The Complete Guide)

Use https://www.lindy.ai/greg for a thousand free credits (thanks to Flo for hooking us up) Join me as I chat with Flo Crivello, founder of Lindy AI, about Lindy’s new Agent Builder and Computer Use features that significantly advance AI agent capabilities. The Agent Builder allows users to create complex AI agents through simple conversation, while Computer Use enables agents to operate computers like humans would, interacting with websites and applications. Flo showcases several practical applications including automated LinkedIn outreach, Twitter-to-LinkedIn cross-posting, and customer support automation. Timestamps: 00:00 - Intro 01:01 - Overview of Lindy’s new capabilities 03:10 - Customer Service AI Agent 05:00 - Sales AI Agent 09:03 - Live creation of a LinkedIn outreach agent 18:01 - Successful demonstration of the LinkedIn outreach agent 19:55 - Examples of complex agents developed through iteration 22:40 - Autonomous companies and future possibilities Key Points: • Lindy AI announces two major features: Agent Builder (for easily creating AI agents through conversation) and Computer Use (allowing agents to perform tasks on computers) • The Agent Builder simplifies agent creation through natural conversation, eliminating the need for technical expertise • Computer Use enables agents to interact with websites and applications, even those without APIs • Demonstrated use cases include automated grocery ordering, social media management, sales outreach, and recruiting The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND FLO ON SOCIAL X/Twitter: https://x.com/Altimor Lindy: https://www.lindy.ai

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Greg Isenberg?

  I just saw the future of AI agents and I'm not even overselling it. I had the founder of Lindy AI show us new stuff around how to use plain English to do vibe marketing, to build out AI agents that make you money and make you more productive. A lot of people have promised this. A lot of people have promised AI agent platforms that do this, but it is finally here and this opens the door for fully autonomous companies that are run by agents. And that was science fiction, you know, literally a few weeks ago.

• 0:39Greg Isenberg?

  It's not anymore. I can't wait for you to see how the new Lindy AI works and how it uses agent swarms, something called computer use, and it's going to change the game. So tune in.

• 1:02Greg Isenberg?

  When it comes to AI agents, Flo, you're probably one of my first calls that I make. And today's an extremely special episode because Flo, what are we going to learn today?

• 1:12Speaker 01

  We are going to talk about the two major things we're announcing today, which are the agent builder and computer use. So the agent builder makes it super easy to build the agents and computer use makes the agents basically able to do pretty much anything that you can do on a computer. So I think like we've been talking, you and I, Greg, about AI agents for a while now, like, and they've been sort of immature, like these two things like a big, big, big step forward on with AI agents.

• 1:40Greg Isenberg?

  Okay. Cause there's a lot of episodes, you know, on AI agents on YouTube and X, including some of mine where I'm like, or me and people are like, this is insane. This is insane. Flo, is this actually insane? But if people stick to the end of this episode, will they be like, my mind is blown?

• 1:56Speaker 01

  Look, I don't mean to sound too grandiloquent. Like, the tech is new, right? That's the reality of it. I think we're like, you know, what we are driving as an industry to what we're talking, what we're calling the Macintosh of AI agents, right? So we've been stuck in like the terminal days of like personal computers. It's like, yes, it's insane. Yes, it's really cool, but like, it's really hard to use. And I think like, that's one of the main concerns people have about AI agents. It's just super hard to use and to create and leverage this new technology. So, yes, this is a really, really, really big step forward because now you're going to be able to create really complex AI agents really simply. It's like, you just talk to it, say, "Hey, I want you to do X moving forward and this and that," and you just have a conversation.

• 2:39Speaker 01

  And it's effectively an AI agent creating an AI agent for you. The two concerns people have about AI agents are, number one, too hard, can't figure it out, I'm not an engineer, I don't have the time for that. Number two, it doesn't integrate with my tools. Well, basically solving 90% of both problems today. So, look, you know, we don't have AGI yet, but yes, it's a really, really big step forward.

• 3:05Greg Isenberg?

  Okay, you have my attention. I'm intrigued.

• 3:08Speaker 01

  All right. Let me show my screen then. So I'll talk about marketing, I can talk about sales, and I can talk about customer support. Those are like three really big use cases. Support is straight forward. It's like, just yesterday, I was catching up with a friend, and he's spending like $12,000 a month on customer support. And, and, and this is after optimization. He's got a bunch of like VAs in the Philippines, and he's in the process of replacing all of that by Linde. And until now, he was holding back because he was like, "Yeah, but they do so much that's like, it's more than just answering a ticket." Like, yes, we've been doing the rag thing, like the retrieval thing. Like, yes, you know, if you ask a question about a refund policy or like a return policy, we can answer that no problem.

• 3:51Speaker 01

  But very often, they check your order status on Shopify, or like, they issue a refund on Stripe, or like, you know, there's all sorts of things that, that he does.

• 4:01Speaker 01

  So now with computer use, like you can't do it. So it's like, okay, you receive a support ticket. Are they asking for a refund? You insert a human into the loop, probably at that point. You're gonna receive notifications every so often like, boss, I'm about to issue this refund. Yeah or no? And then say, yay. And just goes on Stripe or like, hey, check the order status on Shopify. Goes on Shopify, can do all of that stuff for you. So support is just like such an easy one, especially for like e-commerce businesses. Like if you have a little bit of seasonality, it's not just about the money saving. It's also like, it's just easier to operate a business that's backed by AI agents than a business backed by humans. Because yes, AI agents are not perfect, but at least they're consistent. Like if you've got a need to work once, it is gonna work a thousand times. Well, as humans, you never know, and they don't scale.

• 4:46Speaker 01

  Like they quit on you, they start flaking off, they start like sometimes stealing from you. You know, like AI agents, you can just put it on autopilot and forget about it. And then move on to another part of your business to focus on. So support is just like a total no brainer. Sales, ah, we have so many sales agents. So I'll start with like a huge caveat, like I want to be real, like, and I, I think that that's one thing I really love with your podcast, Greg, is like, I feel like there's so much, again, like grandiloquent promises out there that are like empty promises. And I feel like the AI ISDR frankly is one of them. Like if you think you can just spin up an AI ISDR agent and click a button and then infinite pipeline is gonna come through your door. Like you're out of your mind, like this is just not how it works.

• 5:30Speaker 01

  Like it is still a lot of work. If you don't have an outbound motion, like even if you hire the human ISDR and you don't have an outbound motion, you should, you should expect like, I think 40% chance that they never succeed. And even if they do succeed, you should expect a couple of months of like heavy iteration. And this is not because the human is done, it's just, it's hard. There's like a lot of iteration. But once you have figured it out, yes, like AI ISDRs can be very effective. My recommendation is that I think an AI ISDR is basically supplementing a human ISDR. So there's the whole outbound thing. I think the, the way of the future is you should hire a person full time who is basically 10x more effective than they would be if they were alone. But you still need a person full time to manage your AI ISDR agents.

• 6:17Speaker 01

  And so here with computer use, the things that we are unlocking with our AI SDRs. Man, I feel like I'm gonna get banned from LinkedIn, but LinkedIn, LinkedIn DMs. So you've got to have a lot of touches. So, you know, we send an email to people, we send them a text message, we can do that. If they have opt-in, you've got to collect opt-in, that's like a legal thing. But if they have opt-in, we make them a phone calls, like the AI agents can do that. And then we hit them on LinkedIn. So it's just like all of these touches and it all happens inside a single workflow. And LinkedIn actually turns out it's the most effective, at least for now. So outreach is a really big one. Nurturing is another really big one.

• 6:58Speaker 01

  So, you know, we jump on these calls and like a good win rate. If you're like, if you've got a sales team, it's like 25, 30%. So it means like, at best, you're gonna lose only 70% of your deals. But those are actually really good leads. Like they jumped on the call with you, they have like the beginning of a relationship and so forth. And so what we do is when a deal is lost, we log it in a spreadsheet. And then we have an AI agent that nurtures the lost deals. And so what it does is in that spreadsheet, we log the use case that this person had. And then this AI agent observes two categories of events.

• 7:39Speaker 01

  It observes, did we just win a deal in a similar use case or like in similar industry? So like if we're in touch with like, I don't know, like a B2B SaaS finance company of 50 people. And then we close another company that's also B2B SaaS finance 50 people. Like the AI agent is gonna observe that win, say like, ah, fuck, we won one. We're gonna go back to that guy. So it looks at the spreadsheet, it's like, ah, there's one guy here, I'm gonna go back to him. And like, Bob, how have you been? I was just thinking about you, we just closed another business. It's like, most likely they know about them because there might even be competitors, right? So another's like the FOMO, right? So that's one. And the other kind of event it observes is the releases. So again, like we basically talk to the agent or like it observes our change logs and so forth. And it's like, hey, okay, we're releasing agent builders and we're releasing computer use.

• 8:25Speaker 01

  And so we also have that like lost reason in the thing. So it's like, ah, we couldn't integrate with like, we've got a lot of customers in healthcare. That's one reason I'm so excited about computer use because these guys, they have this like a healthcare record management systems and these, these systems do not offer APIs like Epic and stuff. And if they do, it costs like a hundred thousand dollars. You have to go through like a year long review process. It's a nightmare. With computer use, you're basically going through the back door. And so right here, like this nurturing agent is gonna like, looks like, aha, it's like, Bob, you know, last time we spoke, you couldn't, you wanted it to integrate with your Epic EMR. Computer use just came out like, we can do it now. Do you wanna, do you wanna book a call?

• 9:03Greg Isenberg?

  Could we, can we build from scratch, like a full on agent showing computer use, like just from scratch?

• 9:13Speaker 01

  Yeah, let me think of a use case that we could go after. Let's uh, let's just do a simple use case that's gonna like DM people on LinkedIn.

• 9:23Greg Isenberg?

  Yeah.

• 9:24Speaker 01

  All right. I'm going to go here and I'm gonna be like, when I.

• 9:29Greg Isenberg?

  By the way, before you even get, you know, do this, no, 99.9% of people are not DMing people on LinkedIn. 99.9%, like, you know, including myself. But I know that if I probably, you know, reach out to people on LinkedIn DM, like I would probably close more business. I'm just not doing it. Cause like in my mind, it's cringe and I don't wanna like think about it. But if I could, you know, spin this up and, and it works, like that's a huge unlock for me. So I just wanna just preface it with that.

• 10:05Speaker 01

  Um, a hundred percent. And I think that's one thing we hear very often is like, people are always like, ah, agents are coming for our jobs. Sure, maybe over the long term, but in practice, right now, what we're seeing is a lot of people who just do stuff they wouldn't do before. Like, we know we should post on LinkedIn. We don't do it because it's really hard to automate. And it's kind of cringe and we don't want to think about it. Okay, so for now, I'm just gonna make it manual. But I could like, I could be like, hey, every time I ping you on Slack or every time someone submits a form or every time someone gets added to this spreadsheet, like hit them up on LinkedIn. For now, I'm just gonna be like, um, when I send you a message with a LinkedIn profile,

• 10:46Speaker 01

  uh, I want you to, I want you to send them a DM on LinkedIn.

• 10:54Speaker 01

  Asking if they would be interested in AI agent services.

• 11:04Speaker 01

  Tailor your DM to the person's profile.

• 11:09Speaker 01

  Uh, and I'm gonna be like, I want you to use computer use to send a DM on LinkedIn, asking if they would be interested in AI agent services. And the reason I'm doing that is because we also have LinkedIn integrations that, this is the ironic part, by the way, like people think, and I thought that API integrations would just be the bomb. They're just like universally better. Actually, computer use very often works better. So it's like, hey, okay. So when you send me a message, it's confirming. It's like, yeah, you want me to do that and start the computerization and do all of that stuff. Like, yep.

• 11:38Greg Isenberg?

  So it's just, this is crazy, dude. Like, you've been building this for a while. So you probably are like numb to it. But the fact that you can just literally talk to it and it's, and it's building it live. Like, this is the dream.

• 11:52Speaker 01

  Oh, yeah, I agree. Uh, I mean, we have been, thank you, Greg. You're all right. I've become like a little nub to it. But yeah, I mean, this has been what we've been working to wheels for the last three years. Like, straight up. Like, this has always been the vision is like, you tell it what you want to do and it just, and it just does it for you. You shouldn't have to be an engineer. It's just doing it.

• 12:14Greg Isenberg?

  Dude, you're gonna put all the N8N bros out of business.

• 12:19Speaker 01

  Look, we do have some competitors that I think are unnecessarily complex.

• 12:28Speaker 01

  All right, it's done. I've created your LinkedIn DM outreach agent when you send a message with the LinkedIn profile URL. And if I inspect the agent here, it's like, all right, you're gonna send me a message. The message, if the message contains a LinkedIn profile URL, I'm gonna start the computer session. And then you are helping to send a personalized LinkedIn DM to a prospect about AI agent services. We are gonna redact here because what I need to do is I need to enter, and this is not going to be here in production, but I have a computer ID here that I need to use for it to have my logins. You can see it even named as the agent. It's like LinkedIn DM outreach agent. I'm gonna save this and let's do it. Greg, I'm gonna spam you, man.

• 13:10Greg Isenberg?

  Uh oh. I liked it when I was DMing, not getting the DM.

• 13:15Speaker 01

  Wait a minute. You know, the tweet is like, I didn't realize that Leopard's eating people's faces with my faces. Exactly. Okay, so the LinkedIn, the condition passed. It's starting a computer. We should probably do something in the meanwhile because again, the big problem is like, it's not a big problem, but it's just, no, this is gonna be a pain in the butt.

• 13:35Greg Isenberg?

  Yeah, I mean, while it's doing that, we can, I mean, brainstorm other ideas to just give people a sense of like, what sort of things that they could be creating?

• 13:45Speaker 01

  Yeah. Actually, it's not that slow. Let me just open the browser and then we can like tab away once it starts being boring. All right, we did it. Open phone is my shared phone number with my assistant. I still have a human assistant.

• 14:06Speaker 01

  All right. And so you can take control and when you've taken control, you can then release control and let the agent know like, hey, I just did something. So here I'm gonna be like, I just logged in.

• 14:16Greg Isenberg?

  I feel like I'm watching the future, dude. Like, this is crazy.

• 14:22Speaker 01

  Yes, it is. And again, it's early. I always wanna be careful to like, be real with people, but like, it's working.

• 14:31Greg Isenberg?

  Yeah, it's interesting because I was so excited about ChatGPT Operator when it came out. Because to me, that was a glimpse of the future, but what it was missing was like the agent builder, the workflow, like, you know, there was so far it could go.

• 14:47Speaker 01

  Yeah, 100%. I think being able to plug it to your applications also via APIs and being able to give it to different triggers is really powerful. And then being able to have this like state transition. So in the case of like my X to LinkedIn, like it's actually, it's, it's, it's the same agent, but it moves from stage to stage and that makes it a lot more reliable. Because otherwise, like Operator is just, it's surprising, like it's not good enough to do a lot of this stuff, even simple tasks like this. But here you're like holding its hand ever so slightly, like you can see, I'm not telling it click by click what to do. But I'm still like, all right, step one, you're going to check my Twitter, step two, you're going to check on LinkedIn. And if any of these steps is screwing up, I can really pinpoint where it's doing that,

• 15:30Speaker 01

  like what step of this workflow and I can update the workflow.

• 15:33Greg Isenberg?

  And from a prompt perspective, like, do you have any advice on how to create optimized prompts for Lindy?

• 15:40Speaker 01

  None. I just, like, the agent builder takes care of all of that for you. I mean, you've seen me create this agent. It's like, it's not rocket science. It's like, I just, I just talk to it like I talk to an intern and just figures it out. And again, that's the beauty of it is like, oh, okay, it's found your profile. And now it's going to.

• 16:02Speaker 01

  Ah, fuck, you don't have DMs. You're like in a, let's see, let's see if you can figure this out. But this is a good example of what I mean, but like, that's the advantage is like, you have this double mode of like, this double loop of like, you can edit the agent and the agent's instructions and you can see the agent operate and it's sort of ping pong between these two modes. Because if the agent screws up when it operates, you can just go in these instructions and you're like, okay, like, keep this in mind moving forward. Okay, so now it's, it's looking at your like profile to like know how to pitch you.

• 16:35Greg Isenberg?

  Yeah, I disabled messages.

• 16:38Speaker 01

  Okay.

• 16:39Greg Isenberg?

  From random people.

• 16:40Speaker 01

  I think that's gonna become smarter and smarter. Yeah, it's looking for the message button. I think it's just gonna give up.

• 16:47Greg Isenberg?

  But it's interesting to see. Like, I wanna see what happens. And then we can always bug someone else after this.

• 16:53Speaker 01

  Ah, it's not dumb. Message Greg is right here. Oh, you know why? Because I have LinkedIn Recruiter. It's kind of messed up how LinkedIn does that. Like, you've disabled DMs, but with LinkedIn Recruiter, it's fine, because I'm paying for it. So it's probably gonna ask me to log into like a LinkedIn Recruiter account. Oh.

• 17:11Greg Isenberg?

  Oh, my god.

• 17:12Speaker 01

  All right, Greg. Are you interested in the AI services?

• 17:19Greg Isenberg?

  I might be after this DM, man.

• 17:23Speaker 01

  And so again, I mean, you saw me create this agent. Like, it took me literally like, I mean, we can look at the recording, but like, two minutes, if that, like, two to three minutes or something like that. It's not gonna be perfect, Phil Shot. Like, it's working, so that's all the something. But like, you're gonna wanna iterate on like the copy that it writes the DMs for and so forth. Like, so I think, well, and this is what you said earlier, like, you know, I introduced a human in the loop, not just because it's imperfect, but also because there's a dose of subjectivity. And so I think, well, that's where we are with AI agents now. It's like, we're sort of graduating from the phase of like, hey, it screws up, and we're moving towards the phase of like, now it's just like subjective, and sometimes it does lack common sense.

• 18:01Greg Isenberg?

  Wait, dude, this is crazy. Hi, Greg. Just listened to your Startup Ideas podcast. Love how you're always spotting opportunities to quote-unquote "get the juices flowing" in the entrepreneurial space. As someone managing a portfolio of internet companies at Late Checkout, I imagine you're consistently looking for ways to scale operations efficiently across your ventures. As a matter of fact, I am. I've been working with portfolio CEOs who are using AI agents to automate repetitive tasks like lead qualification, customer support, and content creation, freeing up their teams to focus on the high-impact work that actually moves the needles. Given your background scaling companies from islands to advising TikTok,

• 18:41Greg Isenberg?

  you probably see the potential for AI to handle operational heavy lifting while founders focus on tragic growth. It's true. Would you be interested in a quick chat about how other portfolio companies are leveraging AI agents? Ooh, I love that. I'd love to share some specific use cases that might be relevant for your portfolio. That's actually really smart. Dude, are you kidding me?

• 19:05Speaker 01

  Phil Shot.

• 19:08Greg Isenberg?

  Are you kidding me?

• 19:10Speaker 01

  This is, this is, this is when it's all wheels it Greg, like, you know, like being a founder sucks. This is the highlight of like, it's like you build coolest products and like, and you're, and you're grinding on it for three years. And at some point it clicks and like, look, it's more like 1% of the way there. Ah, it's in your inbox.

• 19:28Greg Isenberg?

  Dude, did you, did you hear that? That was, someone just messaged me on LinkedIn. I wonder who it is.

• 19:35Speaker 01

  Um, and so again, now I can like chain it with like, I could find your phone number. And I could be like, hey, send him a text message to be like, Greg, I just hit you up on LinkedIn. And if you opted in, I could also make you a phone call, right? Um, and now it could, I'm in, there you go.

• 19:54Speaker 01

  So I can, I could now iterate on this agent to go like, hey, if they say they're in, look at my Google Calendar, offer them times. Right? Um, send them an invite and so forth.

• 20:06Greg Isenberg?

  So if you wanted to do that, you would go back to Flow Editor and just give like prompted, is that what you do?

• 20:12Speaker 01

  Basically, yeah, I would, I would be like, okay, after that, you're gonna wait for like, an hour or something like that. And then you're gonna wait for 12 hours and then 48 hours and something like that. And every time you wake up after waiting, you check if there was a reply. If there was a reply and if they say they're in, you check my availabilities on my calendar. And you, if, if, and you send, and you send the availabilities and you go back and forth until you found an availability that works.

• 20:41Speaker 01

  So this is why like you start really small. And then you iterate. And that's why I'm saying like, look, it's sad like you're in five minutes, one click, you're gonna have like infinite pipeline. But you know, you sit down for like half a day or so. And it's not complicated anymore. It's just a matter of like iterating. And in the end, I can show you, in the end, you have, I'll show you this example of an agent or this example of an agent. What else do I have? This example is really good.

• 21:09Speaker 01

  As you iterate, and again, you, you build your way to wield it, but your agents end up becoming really complex. And really, really, really powerful. So you start small. It's really simple to get started. And like, this is an agent that they use for recruiting, because that's how I spend half my time. And that's what he does. And this is actually not even that complex of an agent. But little by little, you just keep iterating and iterating and iterating, and you land here. This is one of my favorite agents, like my chief of staff agent that just like live in this thing all day. So like, this is, this is one of my more complex ones.

• 21:40Speaker 01

  This is my CRM manager agent. So this one, I just talk to all day. And, you know, it logs the stuff in my CRM, it retrieves the stuff from my CRM. So that's where you end up after, after you've really iterated on your agents.

• 21:56Greg Isenberg?

  Incredible. Dude, you've done it. You've done it again. I don't think I've ever had someone on. Actually, no, I've never had anyone on the podcast where I'm like, this is the future. I need to invest somehow, and I need to get involved, you know? So that's, I think, the reason I say that is I've been playing with a lot of these tools, and they've been close. But this is the closest thing I have seen to what I had in my mind, which is prompt it to workflows and agent flows, and then having, you know, a computer go and actually go and fulfill that task.

• 22:39Greg Isenberg?

  So for me, what's going through my mind flow, just to be frank, is like, you know, how do I take stock of, you know, we have a bunch of companies that we're running, like all the tasks that we're doing, and how we can productize it? And where the, where is there an unfair advantage and where there's our opportunity to actually, you know, be more productive and make more money?

• 23:02Speaker 01

  Yeah, I, you know, I always use the Factorio image. I don't know if people, your listeners are familiar with Factorio, but it's like this factory simulation video game. But I really do think, and I've been using this image for years, like, I really do think the business of the future looks like Factorio. So you end up thinking of your business as like, Open a figma, like a figjam, like just whiteboard it out, like, okay, my business is basically this pipeline. Every business is basically a pipeline. And then, and then you just take stock of like, where am I spending most money? Where am I spending most time? What is the current bottleneck of the business? And let me just overwhelm the bottleneck with AI agents. I have a top of funnel problem. I don't struggle to like close people once they're in the funnel, but I struggle to get top of funnel. Okay, marketing agents.

• 23:46Speaker 01

  I'm gonna spin up a bunch of agents that like create a ton of content. We'll, we have a V O three integration that's coming. So you could totally have an agent that's like, hey, I want you to post a hundred videos on TikTok and Instagram every day. Right? And then I'm gonna give you feedback about the videos and then you should learn, you can very much prompt your agent to be like, hey, also every day, you could have another agent do that. Like, I want you to look back at your videos, views history and see what clicks. And then I want you to maintain a Google Doc with like your learnings so far, that you just keep iterating on. And then the other agent that creates the videos consults this Google Doc every day. So you could totally do that. I was like, okay, I've solved my top of funnel problem. Now I have a bottom of funnel problem, like people are a pain in the ass to support.

• 24:28Speaker 01

  I'm gonna, I'm just gonna overwhelm the bottleneck with AI agents and I'm gonna solve that. And I'm never gonna attach a support ticket again. And just keep doing that. And I look, I, people don't understand like, and, and I have been careful during this entire conversation to like not be overly grandiloquent. Like, so, yeah, I hope people recognize that, like, I have been saying for years, like, the fully autonomous company is coming. And I don't mean that as like a grandiloquent, like this is coming in 20 years. I'm like, no, no, no, no, no, this, this is coming like now, like in the next two years, perhaps. I, I, I think in the next, as early as like 12 months, I do think we're gonna see people create fully autonomous agentic companies.

• 25:07Greg Isenberg?

  I mean, when I see, when I see something like this, it makes sense, right? Like, um, so of course there's gonna be kinks in, in the product as you're rolling it out. Like this is the first day that it's live. Um, but, you know, I think that if you have.

• 25:28Greg Isenberg?

  An idea and you have distribution and you have a plan to get more distribution. Like you create these like by marketing agents and LinkedIn DMs and you like, what is, what is a business if you think about it? It's customer acquisition and fulfillment of the product or service. Right? So if you, of course, it's going to be autonomous at some point. Because if you're, if you could figure out how to create AI agents that, that are, you know, automating the distribution like we've just seen right now. And you can figure out how you can create AI agents and automations to do the fulfillment. Then why wouldn't there be an autonomous company?

• 26:13Speaker 01

  Yeah, the, the building blocks are here. Like this is no longer like sci fi thing. It's like a, yeah, like this is, it's, it's, it's here. So like my Lindy recruiter, for example, like, okay, this is a Lindy recruiter that I use. And so I can show you, I'm like, hey, find me, I feel bad for the guys at ZPR. I like the guys at ZPR, but I'm like, hey, find me, find me 20 software engineers working at ZPR in the US. And it's like, all right, I'm gonna find the people. And it's like, perfect, I found, I found 20 software engineers, here's the list. And if I look, I can, I can look at their LinkedIn's. And moving forward, I'm going to be able to, I created this one before we had computer use, I should update it to now DM them on LinkedIn. But it's like, okay, this is a bunch of like, software engineers at, at ZPR. Okay, found them.

• 26:57Speaker 01

  And if you look at the timestamps, okay, this was at like 6:30 PM. Okay. And so it's like, all right, I found these guys, who do you want me to reach out to? Which of these candidates would like me to reach out to? I'm like, yeah, all of them. This is a correct list, this is awesome, do it. And it's like, okay, I'm gonna do it. It keeps track of its campaigns because like, sometimes I get banned on, on Gmail because I just sent too many emails. And so it's like, okay, and then we have this feature called like agent swarms. So it's like, it just spins up a swarm of like 20 sub agents. And if you look here, so this was at 6:34. Okay, so like I kicked off the search at 6:31, three minutes later, I had emails going out. Okay, 20 of them. And the first thing this sub agent is doing is like it's searching if I've reached out to this guy before. So it's like, no, you've not reached out, and then it sends an email.

• 27:42Speaker 01

  And then it wakes up, sends follow-up emails, sends follow-up emails, it just doesn't let it go. So I have, I have the fulfillment part of the equation going. I could totally just also spin up another Linde that like goes on LinkedIn jobs or whatever and looks for companies that are recruiting and sends them a message to be like, yo, I saw you were recruiting. I'm an AI agent. Maybe I actually think that would be part of it's like, I'm an AI agent. I can help you recruit for like a tenth of the price. Just, just tell me yes. And you don't even have to sign up. Like here's your Stripe link. You don't even have to look at the LinkedIn, at the LinkedIn interface. Here's your Stripe link. Let me know when you've done it and then I'll start like reaching out to people for you.

• 28:17Greg Isenberg?

  Dude, thanks for coming on and, and sharing this with us and, and giving us like the exclusive on this. I appreciate that. I appreciate you being real, honestly. It is just not overpromising. And how do people get started and, you know, and start building using Linde?

• 28:40Speaker 01

  Yeah, you go to lindy.ai/gregg, that entitles you to like a couple of thousand free credits. And yeah, you can just get started immediately.

• 28:50Greg Isenberg?

  Okay. So if they go to that link, they get a few thousand free credits. So I'll include that in the show notes then. So people can go there, check it out. And I'm going to be sharing this with my team, man. And I hope to, to build some, some cool stuff.

• 29:07Speaker 01

  Yeah, love it. Yeah. Let me know what you think.

• 29:10Greg Isenberg?

  And by the way, people like, I love having Flo on the show. So people in the comment section, like let me know if you want to have Flo come back on the show to go deeper on some other workflows that we could be building together. So let me know in the comment section. Would really appreciate that. And Flo, I love Prashen.

• 29:31Speaker 01

  Thanks, Greg.