How to make f*ck you money selling managed AI agents

0:00What if your AI agent was capable of building other agents? Building other agents that you could turn around and sell to business owners for $5,000 a month. Well, that's exactly what this week's guest is going to show us. His personal AI agent named Dwey is out there spinning up entire managed agents for paying clients, onboarding them into Slack, even handling customer support, all without him lifting a finger. Now, most people talk about AI agents right

0:25now and they're stuck on chat bots. Well, Nick, our guest this week, is three layers deep. He's talking about agents, building agents, and getting paid 5 grand per month per client to do it. He's the co-founder of Orgo, which is the platform behind all of this. And he just closed another client at 5 grand a month this week. And today, he's going to walk us through how Dewey, his personal agent, builds, deploys, and manages these agents from scratch. And if you stick around till the end, he's going to even break down his entire tool stack, which we're going to give you guys access to, including the exact

0:57pieces that you need to build your own AI employee and then turn around and sell them to clients. So, hope you enjoyed the episode. All right, Nick is back on the pod. Last time we did a banger episode talking about managed agents, how people can deploy agents for clients, make money with them. We've got a follow-up to that episode today. Nick, what is the what is someone in the audience going to take away by the end

1:19of this episode? I'm here to tell you that the the service layer of really deploying these agents in a business is like the hands-on work of coming in building an agent out for a specific domain, a specific use case and doing that. That is the opportunity today. I'm going to show you why. I'm going to show you how to do this in a leveraged way of like fulfillment and how to like actually deliver on this service. Uh but yeah, I'm just like really excited about right now you have the creators of of the company her uh of the company who built Hermes the Hermes agent. They're

1:53literally hiring right now for deployed engineers to deploy Hermes agents into enterprise. So it's like the opportunity is insane. And when you see when you see the creator of this product who and that is their their source of uh attention on revenue is going into enterprise and deploying these agents, it just tells you this is a venturebacked company. This is like this company aims to be a multi-billion dollar company. So to me that my ears perk up, my eyes, you know, start to widen and I'm like it just validates everything we've been saying up until now around managed agents. So, um, yeah, super excited to dive into all

2:31of this. Well, I know we're going to get in the weeds with it, and I've seen you posting quite a bit about it on X. I know you've got like your personal agent named Dwey that I mean, it's my understanding that Dewey is the one kind of like provisioning these agents, standing them up, getting them ready for your clients. Like, you're not even really doing very much yourself when it like you close a client on a 5k a month manage agent contract. You're not the one then going behind the scenes and like Nick is the one turning the knobs and pushing the buttons to get the agent set up. It's

3:03your agent Dewey is the one doing that work. Is that correct? And you're going to show us that today. Exactly. Like it is magical. Uh obviously I I posted on X I can I can share my screen a little bit. Um to show like I posted this video of Dewey um and he was he was onboarding an agent that he built out into Slack for a customer of ours. You can see here I have my my Twitter pulled up and um here I'll mute

3:35myself here and I'll make this bigger. Um, but you can see here essentially Dewey is using computer use and he's going through the Slack app.slack.com to set up the bot token and all the settings that you need to add an agent into Slack. And he's doing this for another agent, not himself. He's doing this for another agent, onboarding that agent into the shared Slack with this customer of ours. And he and he built the agent. Like I was actually recording the video. I was like, he built the agent that they're going to be using. He pulled in all the resources, all the granola notes, all the context from

4:09emails, etc., and actually built the agent on Orgo. You can see that that second computer is the one he built. Um, so it's just it's insane. This video is going viral. Obviously, me and you, uh, we tweeted about it and and everyone is, uh, talking about it. But, I mean, this is a 5K a month customer and we have agents building their their agents. Um, so the upfront work of just taking the time, building out your your assistant, your executive assistant who has all the tools, skill sets, connectors, everything it needs. That upfront invested time is so valuable because everything downstream of that just becomes easier. Um, so yeah, it's

4:45insane. It's literally agention is what it seems like. We've got agents spawning agents and who knows where this thing is headed. So, let's talk about let's get in the weeds and talk about like how how can someone do this? How can they make money with this? How are you making money with this? What are the opportunities right now around this kind

5:02of whole vertical? Yeah. So, real quick, like here's the company who makes the Hermes agent news research. I just want to show this because I think it's so cool. Like this company, I mean they're they're behind the most popular harness today, more popular than OpenClaw at this point. They're hiring for deployed engineers. what what is the responsibility of these four deployed engineers deploying Hermes agent into enterprise on the cloud okay so integrate uh APIs essentially get it connected to tools you know work closely with customers to scope implement and iterate on solutions you know improve deployment improve improve observability etc etc so they're and they're clearly

5:43going after enterprise use case so they're going to go after the fortune 500s with these FDES these four deployed engineers Imagine how big how much bigger the market is beneath that. The midmarket, the SMBs, the smallmedium businesses. I mean, that is just up for grabs right now. And it's up to people who are entrepreneurial and they're witty enough and they're and they're clever enough to put together these tools and just like go take action

6:11and deploy the agents into businesses. And so, yeah, Dewey, I mean, you you put up the upfront effort of of doing this once and I have Dewey deploying agents for me. And so, I actually have been using this tool called um Orca. So, if you've if you're not familiar, this is like a kind of like a coding development tool. Uh, but they just have a nice like you I'll I'll show you how to like you can spin up a project here. And I'll spin up a project from like a blank slate. Um, and essentially it's just a terminal that you start with. But what I do is I like I SSH I I go into my Orgo

6:47computer and now I'm inside of Dewie's terminal computer and then I I set up all these tabs here and I arrange it so that this is like my my workspace. I have Dewiey's computer up here. I have his terminal down here so I could talk to him and then I have Grock over here on the right that's connected to the whole Orgo stack via the MCP. This is like my my work my work for my my operation layer um that I've been using lately. And so what I'll do is I'll literally I'll come here and I'll tell Dewey uh let me switch the model. I'll

7:21switch him over to No, you know what? Let's keep let's keep Grock. I'll keep Grock. I'll say spin up a new Hermes agent in your brand agency workspace. Just a demo showing uh the audience here. So, I'm literally telling Dewey, you know, spin up this agent for us. And he's going to go ahead and do that. I'll go here into orgo and I'll go in this like workspace view. And pretty shortly, we'll we'll be able to see that he's going to you're going to see a computer start getting created here. Um, but while he's cooking on that, it's like I would like to show you this is uh Can

7:56you see this this text message here with Dewey? Yeah. Oh, yeah. So, I have Dewey on iMessage obviously. Um, I like texting him via iMessage. It's It's very like casual and cool. Um, and I gave him like the ability to make thumbnails via Hicksfield and um, YouTube video like little shorts and stuff. And so he just does everything, dude. Like he's just doing everything at this point. Right here you can see he's creating the Hermes demo computer in Orgo. Um, it literally just popped up out of thin

8:30air cuz he built it, you're saying? Yeah, exactly. He's building it. He's spinning it up from a template. Uh we make it so easy to to spin up these agents. I mean we have templates here in Orgo. Uh you can select a Hermes agent, openclaw agent, claw code agent, whatever you want to use. Uh but he's making one right here. It's spinning up and and he made this entire one over here off to the right. This Hermes customer setup for our brand design agency that we're working with. And uh

8:57you know it was a 5K a month customer. He built the agent, added it to the Slack, he's going to build out all the skills today, all the integrations and so forth. Um, and so like you said, it's agention. And to take it a step further, I know I'm stiming out on this, but it's just like this is like talk about fulfillment leverage. Like it used to be people you needed to deploy, you know, now you have agents doing this. Um, there is, let me show you. Let me pull up a um let me pull up this here. So I have Dewey talking to customers. This

9:36is a iMessage group chat. He is actually talking to customers, helping fix uh customer issues on on group chats on iMessage. And he's like texting them in the group chat, fixing things for them, telling them, "All right, you're all set. You're good to go." And so now he's not only building the agents out, but he's doing the customer support for them as well and fixing them, upgrading them, managing the entire fleet without me, you know. Um, insane, insane. [laughter] So this is it's crazy because all of this was not possible even like 9 months ago. Like this is all so new. And so something I want to clarify for the

10:15audience too, right? Cuz we threw around a lot of names of different tools. So you said like Orca, you said Orgo, we we're talking about like Dewey. So just to clarify, right? I like I want you to explain. So obviously you're the co-founder of Orgo, right? So take like 20 seconds, give us the elevator pitch there. And I can even speak like from our experience. to me and and my business partner Nick, when we build and deploy managed agents for both for ourselves and our clients, like we've got seven managed agents for our own company that live in Slack that we built and deployed within Orgo. And so

10:51that's where we build them. It It's super easy. I want you to tell the audience like just give them the pitch, right? Like why build there versus like a a VPS? What makes it different? Because again, I see the value. Some other people might not. Mhm. I think it's just useful because that question comes up all the time. So, Orgo is a purpose-built um uh platform for deploying computers into the cloud that are secure like

11:17environment computers for these agents. And we give them not just a sandbox, not just some headless little VPS that is like you can't see what's going on. We give them a full desktop computer. And that's really important because over here on Dewiey's computer, you can see he was using computer use to sign up for Higsfield. So, fun fact, I didn't sign up for Higsfield for Dewey. I told him

11:40to sign up for Higsfield. He has a card. He has an agent card and he went and paid for his own account. He even made a weird username. He called it like I don't know, Dewey. Yeah. Green beluga 1607. I don't know. He like he just makes accounts for him. He's a funny, you know, he just makes accounts for himself. So he uses the computer and what I'm seeing is with these new GPT 5.6 models, they're using computer use more spontaneously than they are other tools. So rather than wanting to use a MCP or a connector via Composio, my agent Dwey has been using more and more

12:12computer use because it's just I mean it's like it's trained on human behavior. These AIs, they're like us and we like to use a computer. They like to use computers too. And um so that is how agents are going to be operating with with software and computers is by actually having a computer. Now Orgo

12:30makes it easy to manage a fleet of them. You can create workspace for a client uh put their computer agents, their Hermes agents in those workspaces and then manage the entire fleet just like you saw Dewey uh do just now with the MCP and CLIs for Orgo. So um yeah, we just make it super easy to spin up a computer. You can just launch a computer. Once it's launched, you go inside of it. You can install a Hermes agent, an OpenClaw agent, whatever kind of agent you want. Connect to it to uh your agent and out of the box. It's like the simplest, easiest way to get going

13:05and start building these out for uh businesses. So, and you guys are you're kind of positioning Orgo, you're building it to be a platform for people who want to build and deploy these managed agents as a service. that's like kind of the niche that you guys are putting yourself into. It's like, hey, if you're selling agents as a service and orgo is a place to do it is my understanding. So, I I think it's smart. And then we'll we'll get into the weeds now on you know, how do we set this up? How do we actually do this from scratch? How is Dwey facilitating this, but just in case people I'm sure people

13:38are hearing this and and want to sign up for orgo, we do have a pretty generous discount for my audience. I think I'm the only one that gets it, but it's I believe Nick, correct me if I'm wrong, first three days of Orgo for free and then the first 3 months after that, 20% off. And we'll put the link in the description for that. Uh, if you use the link and the code Corey, you get that discount, but you got to use both. So, let's dive in and let's check out let's

14:04like see this in action end to end. Yeah. So, as far as Yeah. And that's that's correct. That's the the deal is you get the first three days for free if you use code Corey and then you get uh like 20% off the first three months. Um and so building these agents on Orgo is super uh both fun and easy and like I showed earlier like you can spin up from a Hermes template right here uh to be able to launch a computer with Hermes pre-installed. Now, if you're on a scale plan for orgo, you can actually use uh I can give you the link again to the

14:38GitHub, but you can use my nyx stack here, which spins up uh I haven't updated it in a minute, but it spins up a template that kind of installs everything that I use for my Hermes agents. Um, all preconfigured. And so, you can see it comes with Obsidian pre-installed. It comes with uh agent phone, agent card, like all the tools in the stack that I use. It comes with all of that to boot. So, I don't even have to configure any of it. And it just spins this computer up, snapshotted, ready to go uh with my whole stack. And

15:12that's really powerful. That we'll put that uh that link to his GitHub with so that's like they can basically download that template from GitHub, import it into Orgo, and then one click deploy an agent with all those capabilities already installed. You're saying? Yeah. You would just hand that git, you could literally just give the link of that GitHub repo to your cloud code or your codeex or whatever, you know, grock build and you just give it that link and you say, "All right, spin me up a template on orgo for this uh this repo and you'll have this in your account and it'll just it'll just work like like

15:47that." Yeah. Then we'll we'll put that in the description and in the show notes so people can just go and download that for free and and get after that. That's awesome. Yeah, it's it's it's super like we're trying to make it so that if you want to build a stack of like what you want, okay, if you want a marketing agent, you want a sales agent, you want a you know, customer success agent, you could build the stack of what you know goes into that agent. You just come here to templates. You create a new template and you could say, "Oh, I want I want a

16:15Hermes agent with GStack or GBrain preconfigured." Uh, and you just tell the the Orgo configurator to build this computer for you. And then it builds this spec out. You publish it, you build it, and then you could just use that repeatedly uh forever for for a template. So, and that's how you can productize these agents, right? Which everybody talks about like selling a productized service, never not reinventing the wheel every time and building custom every time because that's how you get in a a trap of not being able to scale if you're just constantly doing custom work. So this is your way of saying like, okay, we can build this agent the

16:54way we want it one time and then basically copy and paste it across clients, right? Exactly. You can in one click be able to spin up the ideal stack and and that's also why I think going after, you know, this is something that we don't actually do as much of because we're kind of at a platform layer. But if I was like spinning up an agency today to just like that was the only thing I was doing and I wasn't running a software company. I would just be making a very vertical specific agent for insurance and I would make a template on orgo. I'd deploy that

17:28into businesses at a service layer first and then I would productize it and then eventually I would turn it into a a insurance perplexity computer web app, you know, and have it super productized. Um, and so you can see here it builds this whole thing out. you could accept it and then go on and and build and publish the template. But um but yeah, like we're trying to make it super easy to just you build the ideal stack, you templatize it, and you could just spin it up to how however many you want. Um I even have, you know, like the ability to clone a computer here. So I just made

18:00this Nickstack computer. I can clone it and have another Nickstack computer um ready to go. So it's like we just give you the whole fleet of of ways to be able to build here. Um, as far as, you know, getting set up with tools, connectors, everything like that, it really is as simple as I I made this tweet describing the future of of software and it's happening today is understanding the idea that you don't need to know how to install the tools and you don't need to know how to use

18:32the tools. I don't know anything about how to use Higsfield. I just know Higsfield is a creative generator AI tool and I know that it's like well regarded and so I just tell Dewey to go sign up for Higsfield and use that for all creative generation assets that we do. So what's happening is people are going to use

18:56more and more software than ever before. Some people will say, "Oh, software is dead." Not at all. Not at all. Software is going to sell more than it's ever sold before. And you're just going to have to tell your agent what software you want it to use, aka Higsfield or Composeio for the connectors or use agent phone for texting my agent. You just tell it what you want and it'll configure it and it's really that simple. Um here I want to show you I have this uh telegram chat with uh with Dewey. It looks like he did he send me some videos

19:29just now? I think he sent me some video. Let me download this. I just memes. [laughter] Oh, so he made a he made a Okay, you can see here he actually just made an explainer video. So I have a YouTube channel where I made a video on how to build an AI employee that does everything and and it kind of like walks you through how I built Dwey for instance and I I pointed him to that YouTube channel. I said like go watch that video and create a little short

19:55that I can post on YouTube about this. And it looks like he made a explainer video here using Higsfield. Uh, and it probably has audio. I just have it muted. Um, and he did this entirely himself. And I can I can show you here. He has all these thumbnails he was making me. It's like [laughter] he's he's he's using Vid IQ, which is a YouTube tool to look up the highest uh most viral, you know, videos in my niche. And he finds the thumbnails that work really well. and he uses my face to create thumbnails for me in that niche that will that will do really well on

20:33YouTube. Um, it's insane. So, that's just like an example again of like I don't know I don't know anything about, you know, how to use Higsfield, how to use Vid IQ, anything like that. I just know that these tools exist. This is the use case for them. I point Dewey at them, he uses them, and I get the output. It's like insane. So, we're really at a point where we're only limited by our imagination. It's more so like knowing what to have the agent do because it can do just about anything. I mean, it just goes back to that principle of focus. Like basically telling the agent what to focus on. So,

21:10that's that's like an insight that I got out of this is execution is cheap. It's just knowing what to focus on and prioritize. No. So, I want to switch gears a little bit because you tweeted, it was either today or yesterday that you just landed another 5K a month managed agent client. And it's funny because after the first video that we did, a lot of the feedback I got was, oh, like, you know, who's who's going to pay five grand a month for an agent, right? Like, that's a ripoff. They could just pay 20 bucks a month for Claude and

21:39get the same effect. So, you know, obviously I have a strong opinion and rebuttal to that, but like I guess it is kind of a legitimate question to a degree like what is making someone pay you five grand a month for one of these agents? Like what is what's so special about the agent that you're

21:55creating that makes them pay that much? And then let's get into the weeds of like what is it doing and how did you actually set it up for this specific client? Yeah. Um, so the key here is this, this is not an obvious insight, but it is one that I like kind of, you know, discovered by being in the trenches of doing this so so many times now for businesses, and it is that the customer, your customer at the most principal level, they want to make money. So, if we're selling them an AI employee and it's not going to make them money, forget it. Um, how do we get an AI

22:32employee to make a business money? One way that's been working really well for us is packaging up the the AI employee that we build for them in their industry and their use cases and packaging that up after we build it for them for their end customers. For instance, this design agency that Dewey is building the whole agent for, they they want an agent that can do these kind of design templates and brand assets and so forth for their customers. So, we're building it for them. So, they're going to you we're going to build their agent for them so they can use it internally to build out

23:05these assets for their customers. But then their end goal is they're going to sell this agent that we just built them. They're going to sell that productized once again to their end customers as a revenue stream. And so this has happened across a few of our customers now. And so it's like B2B to B. And when your customers depend on you as a revenue stream for them, that is like the these guys will never churn. And they're making money from us and they're depending on us and our infrastructure and our deployments and our our

23:35expertise of of setting these agents up. So, um, the key to reiterate is that we want something that is not just a one-off deployment of an AI employee and that's it. We want it to be something that we can productize, package up, and deliver to their existing customer base. A for reasons of scale, and B for reasons of just stickiness. Uh, so that makes a ton of sense because when I think about so like first of all I agree with your point of like nobody's going to pay five grand a month for a managed agent if it isn't directly making them money. And so where my brain

24:12goes with that is okay well that agent has to be bringing in revenue, right? And and again my just limited thought process was like oh well it's got to be like a sales agent of some sort. it either needs to be doing speed to lead or speed to quote or followup or something that we can directly trace to revenue. But you've taken it even a step further and said, well, it doesn't necessarily need to directly make them money. It just needs to be something that they can turn around and package and sell to their clients. Like that's their way of monetizing it. So I that's just like a whole different way to look

24:43at it. Like you said, it's not obvious, but like once you see it, you can't unsee it. Like that's genius to me. So that's I think that's a really good insight now. So continue. I just I just wanted to kind of touch on that. No. Yeah, that's that's exactly it. And and it's like, you know, they they depend on us and they will depend on you as a as a service as an agency to to maintain the deployment and maintain the infrastructure and make sure that everything's running smoothly and onboard their customers for them, you know. Uh, and this used to be something that would take a lot of people to

25:17scale, but what I showed you earlier with Dwey is like you can have your agents help you with the customer support. You could have your agents help you with, you know, getting them set up with the with their with their with their agents. So, um, yeah, and and so there's that there's that, you know, to recap, we're going to come into a business, we're going to build them an AI employee. They're going to use that employee. It's going to be catered toward their towards their industry, towards their use cases. Now, we're going to productize that. We're going to package that up into a template on Orgo

25:50and we're going to go distribute that to their end customers by deploying those templates on Orgo and and we're going to go onboard those uh those end customers either via ourselves or via our agent and get that into their hands. And that's still at a service layer, but it's a productized service layer. But then the extra step thereafter is to

26:08then say, well, can I make a one-click? Can I make a one-click version of this that's a true web application, a true software? Can I make a perplexity computer for that use case as well and have people just come in come to my web come to this platform, sign up, pay 500 a month and they get it even more productized out of the box? That's the spectrum and it goes from you know one to few in terms of fulfillment to one to one to you know some to one to many uh of how many people you can fulfill and scale with uh you know deploying these

26:40agents. So, um, yeah, I think the the biggest thing is understanding that the time you take to kind of be, uh, you know, the time you take to sit down, invest the time of setting up your your own personal agent, getting it connected to all the right tools and and anything that it might need to be able to do real work. And then just trusting that it can do that. Um, and letting it letting it help you, you know, actually build out agents, reply to customer emails, help you uh scrape leads, use an Appify connector to uh get leads, and then

27:18enrich those leads via the MCP for Clay. It's like you just have to know these tools, put them all together, invest that time, and you have a a co-founder that's going to help you run your business, right? It's like knowing like where we where we as humans are valuable is knowing which tool to use for the job. Not so much in knowing how to use the tool, right? Like that's that's the main takeaway I'm getting from you. Like you said, it's like I don't know how to use

27:42Higsfield. I don't know how to use Clay. I don't know how to use Amplify. But I know that for this particular task, this particular use case, it is the tool we need to use. So, I'm just going to have the agent go figure out the execution, right? And then once I've used the agent to execute on a problem that's valuable enough to this specific business, I can then go and sell that as a productized managed agent to that business. That business can, you know, together with that business, we can work out the kinks. And then once we've worked out the kinks, we can have that business,

28:13aka our customer, turn around and resell it to their customers as our product that we own. And then you know from there we can potentially offer it as like a SAS solution like you said once it's super dialed in. Now could we can we go back to the graph that you actually just had up? I think that's important because people are going to want to know like okay like what so you mentioned like knowing the right tool for the job which tools the agent has access to to do its job. Is this like the full stack

28:40right here? I think that this is the big compon these are the big components. I can probably just the 8020. This is the 8020. I I I can recite like verbatim what exactly what tools I use and I'm happy to do that. Um to go through these ones real quick. This is this is just what I use. There are alternatives to make that clear, but this is my stack so far. So you have a AI agent like OpenClaw or Hermes. Uh that's the harness. It needs to be powered by a model. So um you know to supersede this there's a there's a a harness here. Let me just say that

29:19harness like openclaw or Hermes agent. A harness is just a framework of how your agent your AI will use tools and how it'll gather memories and just kind of its personality and how it operates. It's like it's plumbing, right? Yeah. It's the it's literally the plumbing. It's the architecture. It's the backbone of how it how it operates. But the the engine and the intelligence, the brain of it is the model. And so I have openclaw or Hermes, but it's being powered by what? Grock or GPT 5.6 or whatever model you choose. And then okay, now I I need a I need a place for this this agent to live. It needs to

29:58have its own computer that's on 247 so it can click around and do things and actually have its own environment that's secure. So that's where you use something like Horgo. Okay, I need to give my agent an email of its own. I'm not saying uh connect it to my email. Yes, do that. But it also needs its own email so it can sign up for tools and platforms as well. Like you saw it sign up for Higsfield. It did that with its

30:19own email. So, okay, I use agent mail. Um, okay. It needs its own phone number. There happens to be a company called agent phone. It needs it something. This is the agent mafia. And I'm I'm good friends with these people to be clear. Like, you know, we we get together a agent card. Um, [laughter] so you know, you can actually, and I think they even have, and we're going to be a part of this, too, but they have this thing called the the agent the

30:45agentbundle.com. I'm pretty Oh, did they get rid of it? I think it's called the agentbundle.com. There it is. And you can go here and you can get a agent card, agent mail, agent phone. And you're going to have a Orgo computer as well. We we we're going to integrate Orgo as the runtime for all this. And you get it for like smart 20 bucks a month, you know. That's so

31:06smart. Yeah. So, this is the agent bundle powered by the agent mafia. Um, as you're saying this, I'm sending a message to Nick. Literally, the message is just the agentbundle.com. The agentbundle.com and Nick is his is Corey's co-founder. Wait, we're Nick Squared. Was two Nicks in the room. U, and then I use Obsidian for like the knowledge base for my for my agent to be wired into. Um, and then I also use this tool called honcho.dev for uh the memory kind of like managed memory cloud platform for the agent to have persistent memory. So if I talk to my agent on Telegram or I talk to it on

31:46Slack, no matter where I'm talking to it, it has all this memory, all this context. I don't have to remind it about things. Um, and then finally the last 8020 tool here in the stack is is Composio. So that connects Composio allows your agent to connect to tools like um if you want it to connect to your Gmail or your calendar and be able to read and write access to all your platforms, all your tools that you use, you can use Compose and it's free um to

32:15be able to do that. Now, okay, and this is this is awesome because I think this is what people really enjoy is like, okay, what are like what's the nitty-gritty? Like what are the tools? How are we setting this up? So, just to clarify from my understanding, so like that client that you closed yesterday, right? So, they're like, you know, design agency, five grand a month, they're closed, they paid the first invoice, now we've got to physically set up their new agent. So, that that looks like like So, how do you go from like paid invoice to okay, their agent is is ready and they're talking to

32:46it? I So, I Sorry, you hear the siren. I'm I'm in San Francisco. There's always something going on. Um, so I I always have a first I have a discovery call. So the first call that I have is not a sales call. I I don't know. I I think I think in a lot of ways I vibe business. Uh I don't have like a proper funnel. I don't have a proper like uh you know cold outreach. Like in a lot of ways I I I vibe business. But this is just what I do and this is what works. So first call is discovery call. We talk about okay

33:21what is the problem? Like what are we trying to solve for here? What is the use case? Is it valid? Is this customer even an ideal customer? Should we even work with them at all? Can they afford our thing or are they are they going to churn next month? Uh and what and what you find is I the ICP uh is usually a company that's doing between, you know, at the minimum 1 to two million a year at the minimum. And believe it or not, I actually like working with the SMBs and mid-market companies more than with software companies and with AI like like they are they will pay you more. They

33:57ask less questions on like they're less needy like it is actually is the is the outcome achieved or no like yes or no you know. Exactly. Exactly. So it's like, you know, over here in Silicon Valley, you're like trying to sell to startups and everyone's, you know, getting to 100 million ARR selling to startups and it's like it's a living hell because startups are broke. But you can go sell to you can go sell to real businesses and

34:24they're way more willing to pay money. So it's actually like a huge huge opportunity right now. Once again, like I said at the beginning of the pod of uh you know, selling to the S&Ps in mid-market. So that's the first call. Second call is usually I close the deal. Okay, like here's the proposal. Here's what we're going to do. Here's the problems we're going to solve. And then after that, I immediately spin up a

34:43Trello board. I onboard them into that. I say, "Look, here's the backlog of items that we talked about. Here's what what's being worked on right now. Here's what needs to be worked on next. And here's what we need to do together." Like I have like four columns. So it's like backlog, working on now, to-do, and to-do on a call together. Like that's

35:02what those are like the four columns. And then after that I um I mean yeah I I always onboard them into a Slack channel and then I begin building out their agent or have Dewey build out their agent add the agent into the Slack channel configured with the stack first and foremost before then next day today is day two of that customer right so first day was yesterday got the agent set up with the 8020 stack here added it to Slack today we're going to build out the skills the automations everything that that customer wants to be able to use that agent for that's all happening

35:36today. And I think like the most powerful thing you can do is you know what I did yesterday which is like the same day your customer wires you money you turn around you reward that you you give them something immediately. I'll never forget the feeling of that with myself of like having a uh a customer I mean sorry having a a design company that we were working with. We were their customer. We paid actually 5k a month and in the same day that we paid we had something back already wired out like being built on top of. So speed speed to value is like super important super

36:13super important. Um, and then the process thereafter is just usually it's like customer dependent, but it's usually like a weekly uh call where you're like talking through the use cases that it's being used for, what upgrades to do next, uh, what's working, what's not working, and everything in between is also just like being in the loop. Add them to a a group chat with your agent to be able to fix things on the fly. Things will break and you need to be able to fix them quickly. Um, add observe. Oh my god, I forgot to mention uh another great tool. It's called latitude.so and they provide like observability into

36:53the agent. So you can see when the customer is upset talking to the agent because something's not working, you're notified like the semantics around intent behavior analysis. Yeah, exactly. Um latitude is what I use for that. So you could see all the things that go into this. This is not a $20 a month clot subscription, you know. this is like we are we are creating a a co-founder, you know, for a lot of these businesses. Uh and so the value like you said on Twitter, you're like, "Nick, you should be charging more for this." I

37:23think you're right, you know. Um yeah. So So my my next and and that's awesome, right? So obviously Dewey is the one kind of spinning up that stack where I where I assume you're more involved is and this is where I kind of got hung up initially. It's like, okay, well, you know, this stack is relatively productized. The part that's custom customer to customer, right? Assuming you're not just working with like one specific niche every time is the skills component, right? So, it's like, okay,

37:53we just onboarded a new a new customer. They're a design company, right? Okay, the skills that we need to build for them might be will be completely different than the skills that we built for our like insurance customer, for example. So, how are you guys approaching the skill building? I think at one point I heard you say where like, you know, on that discovery call or maybe this is on like the follow-up call with the client, you're just kind of having a conversation with them around the use cases and then you're feeding that granola transcript to Dewey and Dewey is then taking the transcript and then turning that into skills. Is that

38:26is it I mean is that is it that simple I guess is what I'm asking. It that is exactly the the at the baseline of what's happening. Like I literally have a granola note from the call with the customer and they're talking through their workflow. They're talking through their use case. And what uh what I have them do when I onboarded them into Slack, they sent like if I open that Slack channel right now, you'll see they sent me I literally tell them to just context dump just context dump all of your assets, past examples of materials that you've created for clients. Give me everything and I feed

39:01all of that. I don't even have to feed it. it's already just, you know, it's in Slack and Dewey has access to Slack and he can just download all those assets and so then he sees all of that and that is the reference material that we buil we we then build from to build out the

39:14skills and everything that they need. Um, yeah. So it's it's literally like our job today is not to build. Build is commoditized. That's it. Building is is not the that's not the skill set. It is actually insane that the the job today is to ask the right questions, to have context over that, and to know which tools to piece together for solving these problems. A lot of that is like really similar to your audit. Like the audit is is literally telling the customer, "These are the tools you should use." You're not even building anything out for them. You're like, "Here's the tools you should use." And

39:48[snorts] then just having those tools in mind of what to use to solve which problem, handing that off to your agent to assemble it together to build an agent. That's the world we're living today. I'm living that. Um so and and and and it is it is like surreal. Like it is insane that I will go on a walk and I have customers texting in a group chat and I see their problems being solved on a walk like by my by my agent by my agent in 2026. I I actually thought that that like, you know, I thought AGI was a few years away. I don't want I don't mean to be hypy, but

40:22I just genuinely mean it. Like to me, this is AGI. Like, this is what it promised. Freedom. It promised, you know, abundance. So, I I agree. I mean, I'm I'm not disagreeing with you at all. I I think you're spot on and and that's why I'm so bullish on the like the audit or the assessment, whatever you want to call

40:39it, as kind of like a a leadin offer. So, we we've done two paid assessments in the past three days and charging more for them than we ever have in the past. And it's funny because all it all a good assessment is is just asking the right questions. And it's amazing how much more the client trusts you after you just like basically grill them for an hour and just let them brain dump everything on you. Cuz in their mind, they're like, "Okay, like this guy just spent an hour asking me 40 different questions. He understands my business now. So, who better to build these agents or or build us a knowledge base

41:12or take whatever the next step is than the guy that I just brain dumped on for 60 minutes straight. So, and you can apply that to, you know, you could do there's so many different flavors of assessments. We we've done a few at this point, but that's why I like your model because it goes hand inhand with ours and we're starting to do some of what you're doing and I think vice versa. So, I I love what you're working on. I love Orgo. Like we said guys, um we've got a discount code for Orgo in

41:37the description and in the show notes. You've got to use both that link and the code Corey and you'll get I think it's what do we say first three days for free and then 20% off your first three months. And again I'm I can say that with confidence because we are a daily orgo user. We built seven agents on the platform so far and it's it's been amazing. So Nick, thank you so much for the time man. This is awesome. Where can people follow you or find you or

42:05interact with you? Yeah, my it's just my name, Nick Vasilelescu, on Twitter, YouTube, what have you. I think I think the last two letters of my name, the CU are are dropped off for YouTube and and uh and Twitter, but but yeah, you just type my name in, you'll find me. I make content on yeah, how to build these agents out, how to deploy them into businesses, and obviously co-founder of Vorggo. So really just want to walk everyone through how to use the platform, get the most out of it. Um, so yeah, thank you Corey. It's always a pleasure, man. And

42:35we're excited to see what everyone does. Absolutely. Well, we're happy to have you back. I'm sure this will not be the last time. And guys, go follow Nick. Go check out Orgo. And we'll be back soon. Thanks for watching. Cheers, guys.