The Startup Ideas Podcast - Replace Yourself With AI (The Complete Guide)

Episode Date: August 11, 2025

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

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. 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. When it comes to AI agents, Flow, 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? 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 the computer. So I think, like we've been talking you and I, Greg, about the AI agents for a while now, and they've been sold of immaterial.

Like these two things like, are like a big, big, big step forward with AI agents. Okay, because 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? 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, 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 for world, because now you're going to be able to create really complex AI agents really simply. It's like, you just talk to it. It's like, hey, I want you to do X moving forward. and this and that and you just have a conversation. And it's effectively an AI agent creating an AI agent for you. The two concerns people have about the AI agents are, number one, too hard, configure 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 a GIEI yet. But yes, it's a really, really big step forward. Okay. you have my attention. I'm intrigued.

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 straightforward. 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 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 Lindy. 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 in the problem. But very often they check your order status on my Shopify or like they issue a refund on Stripe or like, you know, there's all sorts of things that it does. So now with computer use, like, you can't do it. So it's like, okay, you receive a support ticket, or they're asking for a refund. You insert a human in the loop, probably at that point. You're going to receive notifications every soft and it's like, boss, I'm about to issue this refund, yeah, or nay, and then say, yeah, and just goes on Stripe or like, hey, check the order status and Shopify, goes on Shopify, it can do all of that stuff for you.

So support is just like such an easy one, especially for like ecommerce 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. the business is backed by humans. Because yes, AI agents are not perfect, but at least they're consistent. Like if you've got any to work once, it is going to work a thousand times. Well, as humans, you never know. And they don't scale. Like they quit on you. They start slacking off. They start like sometimes stealing from you. It's, you know, like AI agents, you can just put it on to pilot 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. I'll start with like a huge caveat. Like I want to be real. Like, and 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 AISDR, frankly, is one of them. Like, if you think you can just spin up an AISDR agent and click a button and then infinite

pipeline is going to come through your door like you're out of your mind. Like this is just not how it works. Like it is still a lot of work. if you don't have an ad bound motion, even if you hire the human SDR and you don't have an adbound motion, 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 AISDRs can be very effective. My recommendation is that I think an AISDR

is basically supplementing like you manage DR. So those are the whole ad-bound thing. I think 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 AISDR agents. And so here with computer use the things that we are unlocking with our AISDRs. And I feel like I feel like I'm going to get banned from LinkedIn,

but 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-ed-in, you've got to collect opt-in. That's like a legal thing. But if they have opt-in, we make them phone calls, like the indie 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. So, you know, we jump on these calls.

and like a good win rate, if you're like, if you've got the sales team, it's like 25, 30%. So it means like at best you're going to lose only 70% of your deals. But those are actually really good leads. Like they jumped on a 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 the spreadsheet. And then we have an AI agent that nurtures the last 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. 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 a 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 going to observe that win. It's like, ah, fuck, we won one. We're going to go back to that guy.

So it looks at the spreadsheet. It's like, ah, there's one guy here. I'm going to 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 they might even be competitors. So now there's like the formal, 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. 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 systems do not offer APIs, like Epic and stuff. And if they do, it costs like $100,000. They 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 going to like, look like, aha. It's like, Bob, you know, last time we spoke, you wanted to integrate with your epic

EMR, computer use just came out. out, like, we can do it now. Do you want to book a call? Can we build from scratch, like a full-on agent showing computer use, like, just from scratch? Yeah, let me think of a use case that we could go after. Let's just do a simple use case that's going to, like, DM people on LinkedIn. Yeah. All right. I'm going to go here, and I'm going to be like, when I, 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 because like, in my mind, it's cringe and I don't want to like think about it. But if I could, you know, spin this up and it works. Like, that's a huge unlock for me. So I just want to just preface it with that. 100%. And I think that's one thing we hear very often is like, people are always like,

ah, yeah, 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 going to make it manual. but I could be like, hey, every time I ping you on Slack or every time someone submits a fool or every time someone gets added to this spreadsheet, like, hit them up on LinkedIn. For now, I'm just going to be like, when I send you a message with a LinkedIn profile, I want you to send them a DM on LinkedIn asking if they would be interested in AI. agent services. Taylor your DM to the person's profile. And I'm going to be like, I want you to use computer use to send a DM on LinkedIn asking if they would be interested in the 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 a computerization and do all of that stuff. Like, yep.

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 building it live. Like, this is the dream. Oh, yeah. I agree. 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 two 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 does it for you. You shouldn't have to be an engineer. It's just doing it. Dude, you're going to put all the N&N bros out of business. Look, we do have some competitive tales that I think are unnecessarily complex. All right.

I've created your LinkedIn DM Outreach agent when you send a message with the LinkedIn profile URL, yada, and if I inspect the agent here, it's like, all right, you're going to send me a message. If the message contains a LinkedIn profile URL, I'm going to start a computer session, and then you are helping to send a personalized LinkedIn DM

to a prospect about AI agent services. We are going to 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 even like named the agent. It's like LinkedIn DM outreach agent. I'm going to save this and let's do it.

Greg, I'm going to, I'm going to spam you, man. Uh-oh. I liked it when I was DMing, not getting the DM. Wait a minute. You know, the tweet is like, I didn't realize the Leopards 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 slow. This is going to be a pain in the bad. 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. Yeah. Oh, 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. All right. And so you can take control and when you've taken control, you can then release control and let's the agent know like, hey, I just did something.

So here I'm going to be like, I just logged in. I feel like I'm watching the future, dude. Like this is crazy. Yes. It is, and again, it's early. I always want to be careful to be real with people, but like, it's working. Yeah, it's interesting because I was so excited about chat GPT 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, that's right. There was so far it could go. Yeah, 100%. I think being able to plug it to your applications also via APIs and being able to give it different triggers is really powerful. And then being able to have this like state transitions. In the case of like my X to LinkedIn, like it's actually, 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. to 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, like what step of this workflow, and I can update the workflow. And from a prompt perspective, like, do you have any advice on how to create optimized prompts for Lindy? None. I just, like the agency 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 talk to it, like I talk to an intern and just figures it out. And again, that's the beauty of it. It's like, oh, okay. Okay, it's found your profile. And now it's going to...

Ah, fuck, you don't have DMs. You're like in a photo mode. 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. It's 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 looking at your profile to know how to pitch you. Yeah, I disabled messages. Okay.

From random people. I think it's going to become smarter and smarter. Yeah, it's looking for the message button. I think it's just going to give up. But it's interesting to see. Like, I want to see what happens. And then we can always bug someone else after this. 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 going to ask me

To log into like a LinkedIn recruiter account Oh Oh my God All right Greg Are you interested in the AI services? I might be after this DM man 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 going to be perfect first shot. Like, it's working. So that's all this is something. But like you're going to want to iterate on like the copy that it writes, the DMs for and so forth. So I think for, 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, well, we'll sort of graduate. 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.

Wait, dude, this is crazy. Hi, Greg. Just listen 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 lay 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, you probably see the potential for AI to handle operational heavy lifting while founders focus on strategy and 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? Phil shot. Are you kidding me? This is when it's all weird. Like, you know, like being a founder sucks. This is the highlight of like, it's like, you know. You build coolest product 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. It's in your inbox. Did you hear that? That was someone just messaged me on LinkedIn. I wonder who it is. 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 and now it could I'm in there you go 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 send up an invite and so fools

so if you wanted to do that you would go back to flow editor and just give like prompted is that

what you do basically yeah I would I would be like okay after that you're going to

wait for like an hour or something like that. And then you're going to 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 availability on my calendar and you send it and you send the availability and you go back and false until you found an availability that works. So this is why you start really small and then you iterate. And that's why I'm saying like, look,

it's not like in five minutes, one click, you're going to 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. As you iterate, and again, you build your way to wield it, but your agents end up becoming really, really complex and really, really powerful. So you start.

small, it's really simple to get started. And this is an agent that they use for recording 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 lend here. This is one of my favorite

agents, like my chief of staff agent that just like live in this thing all day. It's like this is one of my more complex ones. 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

stuff from my CRM. So that's where you end up after you've really iterated on your agents. 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 prompted to to work flows and agent flows and then having a computer go and actually go and fulfill that task 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 it, how we can productize it, and where is there an unfair advantage and where there's our opportunity to actually, you know, be more productive and make more money. Yeah, I, you know, I always use the, the factorial image. I don't know if people, your listeners are familiar with factorialio, 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 factorial. So you end up thinking of your business as like, and open a figma, like a fig jam, like just whiteboard it out. Like, okay, my business is basically this pipeline. Every business is basically a pipeline. 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 they struggle to get top of funnel. Okay. Marketing.

I'm going to spin up a bunch of agents that, like, create a ton of content. We have a V-O-3 integration that's coming. So you could totally have an agent that's like, hey, I want you to post 100 videos on TikTok and Instagram every day. And then I'm going to 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 to 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 the problem. Now I have a bottom of a funnel problem. Like people are pain in the ass to support. I'm just going to overwhelm the bottleneck with the AI agents and I'm going to solve that. And I'm never going to touch a support ticket again. And just keep doing that. And I look, I people don't understand like, and I have been careful during this entire conversation to like not be overly grandiloquaint.

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, this is coming like now. Like in the next two years, perhaps. I think in the next as early as like 12 months, I do think we're going to see people create fully autonomous agentic companies. I mean, when I see something like this, it makes sense, right? So of course there's going to be kinks in the product as you're rolling it out.

Like this is the first day that it's live. But, you know, I think that if you have an idea and you have distribution and you have a plan to get more distribution, like you create these like vibe marketing agents and LinkedIn DMs and you like what is a business if you think about it? It's customer acquisition and fulfillment. of the product or service, right? So, of course it's going to be autonomous at some point. Because if you could figure out how to create AI agents 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?

Yeah, the building blocks are here. Like, this is no longer like sci-fi thing. It's like a, yeah, like this is, it's here. So like my Lindy recruiter, for example, like, okay, this is an indie recruiter that I use. And so I can show you, I'm like, hey, find me, I feel bad for the guys at Zipar. I like the guys at Zipar. But I'm like, hey, find me, find me 20 software engineers working at Zip here in the US. And it's like, all right, I'm going to find the people.

And it's like, perfect. I found 20 software engineers. here's the list. And if I look, 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 users. I should update it to now DM them on LinkedIn. But it's like, okay, this is a bunch of like software engineers at Zabur.

Okay. Found them. And if you look at the timestamps, okay, this was like 6.30 p.m. Okay. And so it's like, all right, I found these guys. Who do you want me to reach out to? Which of this candidate is really like me to reach out to? I'm like, yeah, all of them.

This is a credit list. This is awesome. Do it. And it's like, okay, I'm going to do it. It keeps track of its campaigns because, like sometimes I get banned on on Gmail because I just send 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 pins up a swarm of like 20 subagents. And if you look here, so this was at 634.

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. And then it wakes up, sends follow-up emails, sends follow-up emails, it just doesn't let the go. So I have the fulfillment part of the equation going. I could totally just also spin up another Lindy that 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 are recruiting. I'm an AI agent. Maybe I actually think that would be part of it. It's like, I'm an AI agent. I can help you recruit for like a tenth of the price. 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 link. at the Lindyndi End of the same. Here's your Stripe, Link. Let me know when you've done it. And then I'll start reaching out to people for you. Dude, thanks for coming on and sharing this with us and giving us like the exclusive on this. I appreciate that. I appreciate you being real, honestly.

It's just not over-promising. And how do people get started and, you know, and start building using Lindy? Yeah, you go to Lindy that AI slash Greg. That entitles you to like a couple thousand free credits. And yeah, you can just get started immediately. 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 build some cool stuff. Yeah, love it. Yeah, let me know what you think. And by the way, people, like, I love having flow on the show. So people in the comment section, like, let me know if you want to have flow come back on the show to go deeper on some other workflows that we could be building together. So let me know in the common section. Would really appreciate that.

And Flo, I la Prashen. Thanks, Greg.