In short
How to run teams of AI agents 24/7, focusing on cloud agents, automations, and building a “software factory” that writes, reviews, and ships code continuously.
Guest
Ryan Carson, founder/CEO with 25 years building companies (Treehouse acquired; taught a million people to code). Now runs Untangle, an “AI divorce agent” for family law firms; seed-funded, scaling fast, one-person team hiring first employees.
Key claims
Cloud agents (VMs in the cloud) remove code-collision and environment overhead and enable running 5–10 agents at once. Agent management is like engineering management; you must become more technical. Use cadences (e.g., check high-stakes threads ~every 25 minutes), pin important work, and manage decision load. Automations should cover QA, production monitoring, and self-improvement loops.
Notable examples
8-screen desk + Slack notifications; secure prod keys via 1Password (agents request keys). “End-to-end sign-up test” runs 3x/week with browser video testing and triage. “Production watchdog” summarizes paid-customer events daily with links to UI. “Grace” paralegal chat grading via daily rubric; child sessions auto-fix issues. Token-cost routing using cheaper fine-tuned coding models (e.g., SWE 1.7) to keep loops viable.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOWhat You Will Learn from Ryan Carson
1:00 to 2:14
Discover the key skills you'll gain regarding cloud agents and automations.
“By the end of this episode, Ryan, what are people going to get out of this?”
Transitioning to Managing Agents
2:14 to 3:38
Understand the shift from traditional roles to becoming an agent manager.
“And we're going to show you some tips for that.”
Ryan's Experience and Work Setup
3:38 to 7:10
Gain insights into Ryan's workflow and the tools he uses to manage agents.
“So we're going to share a lot with you, get your hands dirty, try it.”
The Power of Devin and Cloud Agents
7:10 to 8:12
Learn about the advantages of using Devin and cloud-based agents for productivity.
“Grab it, talk to Devin, which is just done in a browser on my mobile.”
The Shift from Local to Cloud Development
8:12 to 13:14
Understand why working in the cloud is more advantageous than local development.
“So if you're using agents to build things, you're probably using Codex from OpenAI or using Cloud Code from Anthropic.”
Managing Increased Output with Cloud Agents
13:14 to 14:00
Explore strategies for managing the workload that comes with higher output from cloud agents.
“Yeah, I mean, there are a lot of people on X who are sort of like local maxis who look at people who spin up virtual machines and cloud agents as sort of amateurish.”
Managing High Stakes Decisions with AI Agents
14:00 to 17:20
Learn how to effectively navigate increased decision-making demands when using AI agents.
“So say you're shipping a brand new feature with a lot of UI, like a lot of new UI, right?”
The New Work Environment and Cloud Integration
17:20 to 21:40
Discover the importance of adapting to a cloud-centric work environment and making quick decisions.
“You have to understand in order to compete in this new world, you're going to be working half the time from your phone.”
Automating Tasks with AI Agents
21:40 to 24:20
Understand how to implement automation to streamline tasks and improve efficiency.
“Yeah, I mean, that's why you're here, right?”
Implementing QA and Bug Testing Automation
24:20 to 28:01
Learn strategies for setting up automated testing to catch issues before they affect users.
“The second thing I want to dive into is automations.”
Show all 19 chapters
Building Automation Systems for QA
28:01 to 28:59
Learn about automating bug testing and the importance of manual checks.
“So that one in particular is like, hey, we just can't have signups go down and not know about it.”
Tasks Division Between Humans and Agents
29:00 to 29:54
Explore the relationship and task allocation between humans and AI agents.
“there's no one thing I will say is there's no substitute and we probably won't have a substitute for a while of you using your own app.”
The Production Watchdog Automation
29:55 to 31:25
Discover the role of production watchdogs in summarizing client activities.
“that you're okay with them doing and keeping you in the loop?”
Self-Improvement Loops in AI
31:26 to 33:56
Understand how self-improvement loops enhance AI interactions and UX.
“And so I actually have a production instance where you click it and you actually see what the customer was doing.”
Cost Management in AI Engineering
33:57 to 36:39
Learn about managing costs in AI development and the importance of model selection.
“And it is shocking to me, the number of small, you know, fine UX details that have been picked up by this loop and have been fixed.”
Building a Sustainable Software Factory
36:40 to 40:33
Discuss the importance of using independent labs for sustainable AI solutions.
“So spend the money, like, and then, you know, figure out the system to reduce your token costs.”
Sharing Knowledge for Credibility
40:34 to 42:05
Explore how sharing knowledge builds credibility and opens doors.
“Is there anything else you wanted to cover?”
Sharing Knowledge on X
42:05 to 43:52
Learn the importance of sharing knowledge on social platforms for building credibility.
“And obviously the algo really does reward articles still.”
Closing Thoughts and Gratitude
43:52 to 44:45
Reflect on the conversation and the value of sharing insights.
“Speaking of X, you're a wonderful follow.”
Transcript
Automatic transcript. May contain errors.0:00I don't think it's crazy to say that the people who know how to run teams of AI agents are going to be able to outperform everyone else in this AI age we're in. So how do you actually run teams of AI agents? What does this mean? What's the step by step way to actually do this? And what are the tools you need to know, like Dev and AI to actually go and do this? Well, on today's episode, I brought on Ryan Carson, and he clearly explains all of this for you. He even gives you a tour of his insane setup for how he manages his AI agents. So by the end of this episode, you're going to understand what cloud agents are, how you can set up automations, how you can create a software factory that creates software 24-7.
0:42And you're going to be able to understand it just really clearly because he does such a good job at explaining all of this. So enjoy the episode. I'll see you at the end and have a creative day.
1:00Ryan Carson back on the pod. By the end of this episode, Ryan, what are people going to get out of this?
1:06Ryan Carson:So you're going to be able to do three things really well. You're going to be able to run cloud agents. You're going to be able to do automations and you're going to be able to ship faster. So whether you're a founder, a solopreneur, a stay at home parent, you're just going to become an agent pro. by the time we're done. Okay, because I think a lot of people listening to this might have played with agents, cloud agents, but you're going to help them just get the confidence basically to be world class. I think that's what I've been thinking a lot about. It's like, okay, there's a bunch of people who have played with agents, but how do we become world class agent operators?
1:50Ryan Carson:Essentially, you are a manager of agents now. So no matter what you used to do, whether it was a people manager or an IC, you are going to become a manager of agents now. And you need to be the best in the world. And it doesn't matter whether you're a VC, a founder, an IC, a mom, a dad, like a college student. You should manage agents and be the best at it. And we're going to show you some tips for that. Okay. So where do we start? Okay. So let me give some context, right? So people understand where is this coming from? So I've been a founder CEO for like 25 years. I'm working on my fourth company now.
2:29Ryan Carson:At my last company, Treehouse, which was acquired, we had, you know, I think up to like 110 full-time employees, taught a million people how to code. You know, so I've done the whole build organization thing and manage organization thing. And you learn a lot about managing people on that. And now this startup, which I'm running, I am one employee right now. So we've raised the seed round. We're scaling really fast. Our revenue probably is going to 4X this month. And I'm probably going to be hiring my first employees. We are essentially an AI divorce agent for divorce firms. So we do the dirty topic that no one seems to want to tackle, which is family law.
3:10Ryan Carson:So I've learned a lot about how to scale me. Right. And so I'm going to help folks understand how do you manage a lot of agents? Well, how do you check the work? How do you automate things? How do you work from your phone? You know, I do almost 50 percent, probably more of my work from my phone. and it's pretty wild. So that's where we're going to take you. And I will say as well, this is going to change every three to six months. So we're going to share a lot with you, get your hands dirty, try it. And the best way to learn is to do. Cool, yeah. I'm particularly interested in the phone stuff because I actually do 0 % of my stuff on the phone.
3:56What?
3:57Ryan Carson:Yeah. Okay, let's talk. So let me start by just showing you, well, when I'm at my desk, what is the world like? Right. So right now I'm in my home office. I work from Connecticut and I do all my desk work here. And I've got this big 52 inch Dell monitor. I used to have like a couple monitors and I was like, screw it. I just want a huge monitor. So let me share my screen. And all right. So what I do is I set up eight screens on my monitor. And I also enjoy food and snacks as I code. But the key is to have eight things up at once because I have to multitask a lot of agents at once. I also use a paper system to keep track of some of my to-dos, which is a little bit weird.
4:48Ryan Carson:I use the UG Monk system, which is kind of fun. And I've got a killer Razor mouse. I was getting a lot of wrist pain, actually. So I decided to go vertical mouse on that. I also have a button which actually is connected to Whisperflow. So I almost use Whisperflow for all of my stuff. So I've got Slack in the top left. That's where I get notifications and things about what my agents are doing or what is happening. That's the primary thing I use Slack for. And then what I do is I lay out various other screens. So I've got a 1Password always set up. It's very important to keep your keys safe, secure, and separated from the agent, right?
5:33Ryan Carson:So I've got all my prod write keys in 1Password. I do not give my agents prod write keys. So production writing is dangerous, right? And your agents will do something bad. And so you need to set up a system where they ask you for the key when they need to write to prod. And then you go into 1Password, you copy and paste it into the session, and you're both very clear about what you're doing. So that's one tip. Keep your keys secure. And then I use Devon. So Devon is created by Cognition. I think it's one of the best software factories in the industry. It's not cheap, but it's good. The things I'm going to talk about today are not Devon specific, but they do work very well in Devon.
6:19Ryan Carson:And one of the keys is cloud agents. Then I usually have two screens set up where I'm testing my app. It's just a lot of testing. And then, of course, I've got X in the top left and top right. And then on the right, I've got Codex, which we'll talk a little bit more how I do most of my work in cloud in Devon. And a lot of that work, like we talked about, 50 % is probably on my phone. And then whenever I do desktop or whenever I'm doing things locally, I'll do it in Codex. Usually that's in the bottom right. So that's kind of when I'm at my desk, my setup, and what I do when I'm here. But the truth is I do a lot of work from this, my iPhone.
7:04This is my beautiful wife.
7:07Ryan Carson:It's just I get a lot of stuff done. I'll be in the shower and I'm thinking, okay, I need to check on that PR. Or maybe I want to land that PR. Grab it, talk to Devin, which is just done in a browser on my mobile. And I get a lot of stuff done that way. So that's my setup. So I keep hearing this, that Devin is the most powerful coding agent. And for folks who haven't heard of Devin or who haven't played with it, why is that? What is going on? So about two years ago, maybe two and a half years ago, Devin came out. And they pitched it as this idea of, like, it's a software engineer, right? And honestly, it didn't work very well, right?
7:51Ryan Carson:The models were just not good enough. And no matter how good the harness was, the models just weren't there. And then fast forward to, you know, 2026, the models are definitely good enough. And when you have a good harness that is cloud-based, it's really good. So think of it as you've got your choices, right? So if you're using agents to build things, you're probably using Codex from OpenAI or using Cloud Code from Anthropic. Or you're using one of the Indie, I call them the Indie agent harnesses. You've got AMP. You've got Cursor, which is not independent anymore, but sort of, owned by Elon.
8:31Ryan Carson:And then you've got Cognition, which makes Devin. You've got Factory as another one as well. So you've got these choices, right? And so I thought, okay, I want to scale myself horizontally. Like I want to be able to run as many agents as I possibly can. And I don't want to be working on my laptop and trying to figure out which code is colliding. You know, which work tree am I on? A lot of technical stuff that really keeps you from shipping. And I know there's a lot of different folks that listen to this show. You might have solopreneurs who are newer to coding. They don't have computer science degrees.
9:14Ryan Carson:They're not super technical, but they're building things. Then you may have software engineers who are multiplying themselves 10 to 100x. They have deep understanding of software and architecture. And then you have founders who are coding but are abstracting themselves. And you have VCs who are coding, you know. But everybody is going to learn a couple skills. And what's interesting is I'll sort of zoom out for a second. I think we all thought that engineering and being technical was going away. But actually what's happening is the more you become a better agent manager, actually the more technical you become.
9:53And I think a good analogy is that you are basically an engineering manager, right?
10:01Ryan Carson:And so to be a good manager of many agents, you do need to become technical, right? There's this reality of you have to understand what Postgres is. You have to understand a production environment versus a dev environment. You have to understand migrations. But the truth is you'll learn all that by using agents, right? And so I am way more technical than I have ever been in my whole life. And so I think the idea is become more and more technical. Therefore, okay, so let's back up. Why Devin? What is it? It's a really good agent. They have their cloud environment really nailed down. So that's the first takeaway I want to talk about today is cloud.
10:39Ryan Carson:Okay. How can you run more agents, get more done? And the answer is you work in the cloud, not on your local machine. Now, for the folks that aren't super technical, sort of explain what does that mean? So when you're writing code or you're building things, you are editing code, right? That code has to be edited and then hosted somewhere, right? And usually what we used to do is we used to all work on our Macs. And that's called local development. And you have to set up your whole local development environment. You have to have your database. You have to have your authentication. you have to have everything local you have to have your dev server set up and then what happens if you want to do two things at once you have to either use get work trees which is pretty technical and hard to understand or you have to literally make another copy of your code in another directory and then so then to work on two things at once you have to have two copies of your code which is hard and then what about three or four what if you want to do five or ten things it just doesn't work So what Devin does, and I think a lot of good independent agent harnesses like Cursor is doing this now, I think Codex is starting to do this okay, is they create what's called a VM or a virtual machine in the cloud.
11:58Ryan Carson:And it's basically a little server, and it is your development environment. And you click a button, and it spins up, and all of a sudden, you can code in there. And the beautiful thing is you can create infinite numbers of these things. So I often have at least five cloud agents working at once, often 10. And there's no risk that the code is going to collide. So what it does is it takes away all of the mental overhead of trying to coordinate these things. Like I want to work in this part of the code, but what if it overlaps this part of the code? Or what if I want to do that? Have I synchronized and pulled the latest?
12:40Ryan Carson:Like, I don't know. And when I work in the cloud, I literally just open up my browser and I click new session and a new VM spins up. And I never, ever have to think about it. So I think if you are working locally, I honestly think you are a caveman. Like, I think you are holding yourself back and you are shipping 10x less than you could be. and it is not smart. No matter if you think the cool people work locally and all the smart ends, it's not true anymore. You work in the cloud. Yeah, I mean, there are a lot of people on X who are sort of like local maxis who look at people who spin up virtual machines and cloud agents as sort of amateurish.
13:30What do you say to people like that?
13:31Ryan Carson:they are not doing real work. Here's the deal, right? So as soon as we hit PMF with Untangle and we started acquiring real customers and having to ship real fixes, real features, like I had to probably 50X my output, right? And you just can't do it if you're working locally. So I think it's nice to work locally. And sometimes you have to if you're doing heavy front-end stuff. So say you're shipping a brand new feature with a lot of UI, like a lot of new UI, right? Then, yes, of course, you're probably going to spin up a local agent and you're going to do some light front end, you know, probably wireframing.
14:17Ryan Carson:But as quickly as you can, you want to move that into the cloud and then let a cloud agent take over. So I think this is happening to a lot of people. I think a lot of the traditional knowledge of how to work is out of date. That's where we're at. Okay, so if you do start using cloud agents and you do 50x output, in some ways that is a little stressful because you have so much stuff going on, right? And now all of a sudden you have to manage more. So how do you structure a system so you don't go absolutely crazy? So it's interesting. I think, first of all, you have to shift your expectation of what your work is.
15:05Ryan Carson:And what your work is now is making high stakes decisions almost all day. So in the past, we all had the luxury of making probably, at most, maybe two to three high stakes decisions per day. Right? You'd have an important meeting with your key team or with a customer and you'd make a couple important decisions and you would communicate those decisions and then they would get done over two weeks. I think you have to sort of mentally pace yourself to say probably by lunch you're going to have made 10 to 20 high stakes decisions. And so you have to learn how to do that. So which is your question?
15:48Ryan Carson:How do you do that? And I think there's a couple simple things, right? So when I'm working with my agents, I actually have to organize my threads by, and I pin the ones that are the most important work we're getting done today, right? Because there's a lot of quick bug fixes or, you know, small things you're shipping. And you kind of learn to separate into two buckets. What are the big, big important things I'm getting done today? Pin those. and and then the other things just let them rip and get back to them when you can and then set yourself this kind of almost timer right where you're like okay i'm gonna go crazy if i just click through my threads like this all day you just get completely wiped out right and so it's almost this discipline of saying i'm actually you know that the phrasing smooth is slow is smooth and smooth is fast.
16:46Yeah.
16:47Ryan Carson:I think there's a little bit of that where you realize I can only check on my agents and make high stake decisions probably every 25 minutes. And so what you might do is settle into this cadence where you check on your high stakes threads like every 25 minutes, just so you can like literally mentally rest. and then the other side of that is just understand that this is the world we live in and it is kind of exhausting um and and that is kind of where we're at and in order to survive in this new world you're going to work a lot more not a lot less and on that note i'll share my screen because there is essentially uh a world we live in now where you're going to ship probably you know so this is my prs right and we're looking these are days right and you can see what you know the average here is is sort of this 22 to 25 prs a day right and and sometimes you know 40 a day um most of these are being you know merged right a couple are being closed and what's funny is what happened this day um i went uh hiking with my son which day is that kensi or cursor oh it's uh the was the 18th um and so we went to climb mount washington and i literally couldn't access my my phone um but notice immediately the morning of right you know while he was sleeping i i shipped what is that you know eight prs um so this is kind of you know the world we live in now um And we could talk about that.
18:30Ryan Carson:But let's zoom out to the lessons here. You've got to go cloud, right? You have to understand in order to compete in this new world, you're going to be working half the time from your phone. And it is tiring, but it's like going to the gym. Okay, I have this new muscle like I never had to exercise before. And it turns out this weird back muscle, it turns out like that's the most important muscle in the world. And if you don't do it, you're not going to win. So the way to do that is in set some sort of cadence for yourself, pin your most important threads, write it down. So this, you know, what I'm going to sort of flash up on the screen here is my written to do list.
19:10Ryan Carson:Every day, you know, I use this hilarious analog system to like to remind myself what are the most important things we're going to ship today? because there's going to be 10 probably prs that we ship that are fire you know putting out fires um and and you can get distracted and exhausted so so cloud and then exercise this new weird back muscle which is making high stakes decisions all day um including on your phone right what you're basically saying is like you're gonna because of the velocity of uh of you know knowledge work and you're you just you'll have stuff going on and you will need to be there to say yes no actually this you know i'm giving feedback in real time and you know why your point is why wait until you're in front of your mac to give feedback um it makes no sense if you're trying to hit product market fit and if you're trying to forex revenue in you know in a month or whatever it is um you know why to be available gotta be available and you know i think it just it's easy to think of these things as humans right like you have a team now that is infinitely scalable they're going to do work very fast and they're going to be blocked by you making important decisions right um and you can't delegate the decisions yet i think we're still very much even if you use fable Like this is a trick is use a Fable thread as kind of the manager and then ask it to spin up children.
20:47Ryan Carson:And I do this a lot. So, you know, I'll spin up a Fable thread and I'll say, OK, you know, we want to accomplish these five things. You know, spin up five, you know, child devin sessions. Don't use Fable. I use Fusion for that, which is a cheaper model. It's cool. It's like their new model where they've got Fable as kind of the parent and they've got a sidekick. The point is, it's not viable to run Fable or any super premium model all the time. But have a sort of a parent, very intelligent model run children. You can do these things. But in the end, you're going to have to pay attention. And it's just like if you ran a big team and you were out to lunch on your boat all the time.
21:29Ryan Carson:You got to get in the office. And the office is your phone. And so get it done. So Greg, this is my homework for you. Next time we talk, I want you to be doing more than 50 % of your work on your phone. Yeah, I mean, that's why you're here, right? A lot of people ask me, how do you choose guests and why do you explore certain topics over other topics? And it's for everyone. I love arming people with the information, the tactics, the systems. But I'm also everyone. I'm a part of that, right? A part of that is I know that you're doing this and I want to understand why you're doing it. I also want to understand one of the takeaways I have is your system for dealing with tasks is not too dissimilar to a very organized person pre-AI.
22:21The idea of pinning your most important things, on one hand it's pretty obvious, but on the other hand if no one tells you Like, hey, you know, the way to do this so you stay sane is via that system. It's overwhelming.
22:39Ryan Carson:Yeah. It is funny. It's like back to the basics, right? Yeah. It's just in an agent age. And it turns out like being a very, very good engineering manager is probably one of the most valuable skills you can teach yourself. And, you know, I have the honor of sort of mentoring my nephew right now. and he's coming to me and asking me, how do I win? You know, he's just come out of college soon. How do I win in this new world, right? And, you know, I'm basically teaching him what we're talking about on the show. It's like, okay, your job is going to be managing as many agents as you possibly can. Get good at that, right?
23:16Ryan Carson:Which means, you know, you need to start to adopt these behaviors, right? Work in the cloud, prioritize what you're doing, learn how to make high stakes decisions quickly, get technical um you know it is a farce that engineering is going away like if anybody tells you engineers are going away or becoming less technical they're just not doing the work right um and it's like being a carpenter like say you had robot carpenters around if you were a real carpenter you'd be a much better manager of those robot carpenters because you understand how to make the cut, you know, where to put the nail. And so it's important.
23:56Ryan Carson:So to back up, and if you're listening to the show, like the thing I want you to walk away is cloud agents. Get your reps in, figure out how that works. Try it a couple of times, do it from your phone and get comfortable, you know, looking at your small phone interface and learning how to work that way. So I think that's thing one. It's very important. The second thing I want to dive into is automations. Okay. So say you're working in a cloud. Well done. You know, you're starting to separate yourself from the crowd. The second thing is automations. You need to sort of think about things that you would have normally had a meeting with, you know, once a week with your team, where you check on something or daily you check on something and build an automation.
24:46Ryan Carson:What does that mean? So the first thing to do is go back to your agent, start a session and say, okay, I want you to automate this task every X amount of days. And so one of them that I do, it's really simple is that I want to automate the test of signing up for Untangle, creating a case, onboarding a client, having that client go through discovery, you know, basically our user experience. but I want that to be automated in a browser. Like this is not rocket science. This is basic user testing, right? But it turns out that good agents can do this. And so the big unlock is set up your agents so that they can make themselves better instead of you trying to build these systems.
25:38Ryan Carson:And so I set that up and then in Devon, it's really cool. It's called a playbook, but the idea is it's, It's sort of like, here's how to do this thing. It's different than a skill. It's more of a list of things to do, how to do them correctly. And I have a, it's called end-to-end sign-up test. And that runs three times a week. Because it is expensive. It's probably$60 in tokens. Because it's doing a lot of browser testing. and I think that's sort of a side point I want to explain here is it's now vital that your agent can properly browser test and it really should work out of the box right this is part of the reason I use Devon is because they've been using cloud agents that can do browser testing for two years now, it's so good.
26:36Ryan Carson:It records a video, it annotates the video, it then looks at its own video and it fixes bugs that it sees, right? So you have this agentic loop that is specifically around browser testing that then is automated three times a week, right? And then what do you do with that? And then you need to trigger a triage based off of that. So say that it's like, oh, wow, the third test failed in this automation. I'm going to spin up a devon session or an agent session to then fix it. And then you have to figure out where do you know that that failed? How do you know? Did the agent just kind of silently fail and then fix itself?
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27:19Ryan Carson:What about the PR that was created? So you have to start thinking about how do you see these things when they happen, right? as the manager of all these agents, how do you know what's failing and what's not? And that's, again, we should talk to your agent and say, okay, we've got this end-to-end test. I understand it runs Monday, Wednesday, Friday. I understand it triggers a child triage session if anything goes wrong. How do I know about it? And then your agent might say, well, why don't I post in Slack? And you could say, well, okay, how are you going to do that? Well, we need to connect the MCP.
27:55Ryan Carson:how am I going to know to look in that channel there's just all this machinery that you need to automate and figure out and work through to build that system of automation so that you are doing less of the work so this specific automation is this more of a bug testing QA automation or is it more of a UX QA perspective This one is more about finding bugs that have been introduced to prod that somehow we missed in our user tests, in our automated test suite. So that one in particular is like, hey, we just can't have signups go down and not know about it. But, you know, sometimes your automated test suite just, it doesn't catch everything.
28:49Ryan Carson:but a good old fashioned clicking through the site in a browser catches that. It is not really about the UX. I think that there's, there's no one thing I will say is there's no substitute and we probably won't have a substitute for a while of you using your own app. There just isn't a good substitute right now. So right now every, Every so often I literally go through our entire app myself. And then I obviously quickly spin up, you know, sessions to fix bugs, I find. But we're just so far from agents still. The smartest models in the world still lack this sense of obvious, you know, intelligence.
29:39Where you're like, why did you think that was okay? Well, yeah. I think the bigger question is, if there's a division of labor between human beings and agents, what are the tasks that you as the human being are going to be doing? What are the sets of tasks? And what are the sets of tasks that the agents are going to be doing, that you're okay with them doing and keeping you in the loop? So my question for you around automations is, beyond QA, what are some other automations that a founder could be implementing? So let me pull up my list for you.
30:14Ryan Carson:So the kind of automations that I have are clearly QA bug fix. Fine. The other is what I call my production watchdog. So we've got a lot of real law firms using Untangle. We've got a lot of real clients, you know, going through discovery. and we've got just a huge amount of activity. And honestly, I can't keep track of it mentally by just looking through logs. And so what I do is every day at 9 a.m., I have what's called a production watchdog automation, which what it does is it goes through all of the events in the database that happened for our paid customers and it summarizes that in a JSON file.
31:01Ryan Carson:And then that JSON file is in our admin. And then I know every morning I go in and I click on the production watchdog and I read through the summary of what the customers did. And it's so valuable. So it's sort of like you can imagine your chief of staff showing up and saying, all right, Greg, here's the important stuff that happened yesterday for our customers. And I'm going to roll it up and explain the things that went well and a couple of bugs that we saw. So that's an automation. essentially what happened yesterday that was important um so that one that's a big one yeah it's honestly a big one like it's it's like one of those ones that sounds small but is a big one because you're going you think you know what's going on but you don't you don't i mean and it's it's so shocking to me like yeah the amount of times i'm like oh uh and this is the other trick man so use a production watchdog automation pick your most important customers and then make sure that in that report, it's like the customer did X, here's a link to view that.
32:08Ryan Carson:Right. And so I actually have a production instance where you click it and you actually see what the customer was doing. And then I'll be like, whoa, that's weird. Like, and we have this amazing ability that, you know, over, you know, you know, millions of years of evolution and very quickly picking up things that are off. And so there's a couple of times I'm like, that's weird. And I click into it and it turns out, oh, the user experience, um, that the agent built on that wasn't, was, wasn't quite what I thought it was. Um, and so yeah, production watchdog automation that links out to real UI, um, is just, man, that's a game changer.
32:51Ryan Carson:So that's a big automation. Um, this is a really important, a self-improvement loop. How does this work? Okay. Everyone's talking about self-improvement, right? Um, so in Untangle, we have an agent called Grace and she is essentially a paralegal. Um, and she has a lot of chats with both, uh, our customers who are attorneys, our customers who are paralegals and our customers and their customers who are clients that are getting divorced. Um, so how do I actually grade those chats and then improve them, without managing the fine details. So what I do is every day I have an automation that looks at these chats and then grades them on a rubric.
33:35Ryan Carson:And again, just talk to your agent about this. You pick the most important part of your app that you want to self-improve and say, here's how you, agent, judge whether this thing that happens is good or bad. And then every day I want this automation to kick off, look at those things for us. They're conversations that Grace is having. And then I want you to grade them. And then if anything is bad or below this score, I want you to kick off a child session and fix it. And it is shocking to me, the number of small, you know, fine UX details that have been picked up by this loop and have been fixed.
34:13Ryan Carson:And honestly, there are things that I just wouldn't bother doing either i didn't know about them or i'd be like meh you know it's a paper cut like are we really gonna you know ship a fix to that but because the agent already identified it spun up a pr and it's ready to ship i just go ship it and you know we probably ship i would say probably three of these a day wow yeah that's that's huge and you know a lot of a lot of the backlash on loops is just that it's expensive. How have you, with Devin specifically, has it been absurdly expensive? What are we talking? No. Here's the thing. Last month I spent probably$20 ,000 in tokens, which is just too much.
35:00Ryan Carson:It's not viable. I think all of us are in a place where we're getting to the spot where it's realizing, okay, for real engineering work per employee, you're looking at probably five grand a month. Like that's probably where we're going to shake out here. And anything more than that, you really need to figure out model routing. And so thankfully, Cognition knows this and everyone's figuring this out. Like whether it's Cursor, Cognition, I would say Factory, AMP, all of the independent agent labs understand like our customers have a limit. Like they're not going to pay infinite token budgets. and then you have the this is me ranting a bit but it's like you have clog code and codex who are just severely you know fun they're they're funding tokens and making it seem cheap but this is not going to work long term and so what i do is basically i have learned how to use the right model for the right task and so these reinforcement loops they use what's called sui 1.7 it's a fine-tuned model that Cognition has specifically built for coding.
36:06Ryan Carson:It's super cheap compared to Opus 4.8, GPT-5.6. And so a lot of these loops happen with this cheaper, finely-tuned model. And we're just going to see more of that. So you're talking, I don't know, actually, I could probably look and dig it out, but you're probably talking like five bucks a session on that. Okay, that's not bad. I mean, and if you're not willing to pay 15 bucks a day to improve one of the core, you know, featured sets of your, like, what are you doing? Like, either it's not a real company or you don't care. Yeah. Totally. So spend the money, like, and then, you know, figure out the system to reduce your token costs.
36:48Ryan Carson:I will say, this is why I don't understand why anybody would build their engineering on a Frontier Lab stack. like i'm just going to call it out like if you are if your whole engineering uh you know motion is happening inside of clog code or inside of codex what are you doing like because they are not incentivized to make it reasonable for you long term right they're going to lock you into their models to their process whereas if you use an independent agent lab you know like an amp like like a Devon, like a factory, like sort of a cursor, but they're kind of weird now. Those systems are going to optimize for affordable engineering long-term.
37:33Ryan Carson:And I don't think you want to be locked in to Anthropic or OpenAI solely. I mean, to be clear, you can still use their models within some of these products, right? So you're not abandoning ship. No, it's actually, so it's yes and, right? So the beautiful thing is if you pay an independent agent lab, like a factory, like a cursor, like a cognition, like an amp, et cetera, they're incentivized to figure out how do I give you the best results for the lowest price? So they'll say, OK, we're going to use GPT-56 Sol on extra high for this type of task. And then we're going to route to a SWE 1.7. And then we're going to have a check with a fable.
38:18Ryan Carson:They're going to figure out that hard stuff. And the other thing I will say is if you're trying to build a software factory for yourself, stop. Like, you know, the reason why you see, you know, Ramp Launch Inspect, which is their custom in-house agent, is because they got to a size where they had to build their software factory in-house. And if you get to a certain size, you will do that. but now if you're a one person shop and you're just building something it's just you you can probably get away with this two hundred dollar a month uh you know angle on a pick your frontier lab but as soon as you graduate into okay we're building a real product we have product market fit we're gonna start hiring people you got to build a software factory and at that point you want to be on an independent agent lab like otherwise you have to build yourself which is stupid or you're going to pay and be locked into a walled garden.
39:16The analogy I use for it is working with an independent lab is sort of like working with a mortgage broker or travel agent. They're going to make a lot of calls to make sure to get you the best price and stuff like that. To me, I use both. I'm in Cloud Code but I'm also I use Cursor personally although Devin I'm interested in if people are interested I might just do a whole breakdown on Devin if people want to do that
39:51Ryan Carson:Devin's so good now it's so good, it's amazing but I will say I do use Codex the Mac app is so beautiful and they are subsidizing the token so much that if you want an agent on your machine just to do really cool, helpful stuff, open browser tabs and create Google Docs and check your email and do all this information work and basically get it for free. I mean, you're paying 200 bucks and you get almost infinite tokens, like awesome. But don't build your company software factory on that. Like, I just think it's bonkers to do that. We've covered a lot today. Is there anything else you wanted to cover?
40:38Ryan Carson:I feel like I'm just vomiting all the stuff in my head. No, it's important that this is what I wanted. I wanted you just to vomit everywhere because it's sort of like advice that you would give to your nephew, I think, or a 22-year-old fresh out of college. It's like, what are the minds I need to know in terms of managing agents. So is there anything else that people need to know? Cloud agents, automations? Yeah, cloud, automations. Those are the two that I want people to walk away from. I guess the third is really, you will be using a software factory. And what I mean is the agents are going to be writing 100 % of your code, reviewing 100 % of your code, shipping 100 % of your code.
41:28Ryan Carson:That's where we're going. And so the more you can get there, the better. Thing one. Thing two. I think thing three is it is important to build a credible reputation for yourself. And I will say the work I put in over the last 20 years on X, it really pays dividends. And what I mean by that is if you share what you're learning publicly and you generally give, like write very helpful articles on X. And obviously the algo really does reward articles still. So you should be writing articles on X. You should absolutely be on X, no matter how you feel about Elon. Because sharing your knowledge really does build up credibility, which will pay dividends.
42:22Ryan Carson:And I don't mean just like getting paid to post. I mean the network and the relationships. I mean, the reason why I'm on the show is because we built a relationship over X. And so I would encourage people, take the time to share what you're learning. It doesn't have to be super polished, but get out there and be useful to people. And it will open up doors. So you know more than you think. Just get out there and share it. And you'll reap the rewards, not immediately, but eventually. I mean, even if you don't know, you can just say, I don't know. And that's your strategy, right? And that's interesting too.
42:58Ryan Carson:Amen. And if you don't know, then ask an agent to help you. I mean, my original co-host of this show was Sahil Bloom. Sahil Bloom worked in private equity. And during COVID, he just started writing about topics he was interested in. He would be just finance topics or a particular individual who was interesting. It read as Wikipedia articles but really focused on Twitter specifically, optimized for Twitter. And that was his thing. And he wasn't saying, I know everything. He was just saying, I'm learning this thing. Here's the thing I'm learning. He grew in his audience over a million Twitter followers, wrote a New York Times bestselling book, started companies on top of it.
43:44raised a fund on top of it. Anything is possible for sure on X. Do that. Just get out there and do. Do, do, do and learn.
43:57Ryan Carson:There's no try. There's only do as Yoda says. Totally. Ryan Carson, I feel smarter. That was my goal.
44:11Speaking of X, you're a wonderful follow. I'll include links where you can follow Ryan across the internet, including X. He's a must follow, so please do that. Thank you for coming on, sharing your generous thoughts, incredible setup. And is there anything you want to leave people with? No, thanks, Greg. Thanks for having me on the show.
44:34Ryan Carson:I appreciate you putting out the constant knowledge and sharing. It really makes the internet a better place. So happy to be here, and thanks for having me. All right, I'll see you next time. Take care.
From the publisher
I welcome Ryan Carson back to the show to turn anyone into a world-class agent operator. Ryan spent 25 years founding companies, scaled Treehouse to around 110 employees and a million learners, and now runs Untangle, an AI divorce agent for family law firms, as a team of one while his revenue tracks toward 4x this month. He walks me through his full stack: running cloud agents in parallel, building automations that watch production and improve themselves, and shipping 22 to 40 PRs a day, often from his phone. We also get into keeping token costs sane through model routing and building a durable reputation by sharing your work on X. By the end, listeners hold a clear playbook to run agents, automate the busywork, and ship faster.
Timestamps
00:00 – Intro
01:43 – The New Agent Paradigm
04:24 – Inside Ryan’s eight-screen desk setup
07:23 – Why Devin and cloud agents
10:00 – Everyone Is Now a Manager of Agents
13:15 – Local vs Virtual Development
14:50 – Agent Management System
24:22 – 3 Automations to build
32:54 – Self-improvement loop with Grace
34:38 – Token costs and model routing
40:33 – Building reputation on X
44:03 – Closing thoughts
Key Points
Ryan frames every knowledge worker as a manager of agents, and mastering that role is the new edge.
Cloud VMs let Ryan run five to ten agents at once and ship 22 to 40 PRs a day.
Roughly half of Ryan's work happens on his phone, which keeps his agents moving in real time.
Automations like a production watchdog and a daily self-improvement loop hand Ryan a running summary of what matters.
Model routing keeps costs in check: budget around $5k a month per employee and lean on cheaper fine-tuned models.
Sharing your work publicly on X compounds into relationships and opportunities over time.
Numbered Section Summaries
Meet Ryan and Untangle Ryan Carson returns to walk me through his stack. He spent 25 years founding companies, scaled Treehouse to about 110 employees and a million learners, and now runs Untangle, an AI divorce agent for family law firms, solo, with revenue on track to 4x this month.
The World-Class Agent Manager Ryan's core premise: everyone is now a manager of agents, and becoming the best in the world at it is the goal. He argues that managing agents makes you more technical over time, much like a skilled engineering manager.
The Desk Setup and Key Security Ryan lays out eight screens, a 52-inch monitor, a UG Monk paper to-do system, a vertical mouse, and Whisperflow for voice. He stores all prod write keys in 1Password and hands them to agents only when a task truly calls for it, keeping production safe.
Cloud Agents Over Local Machines Ryan explains cloud VMs: click a button, spin up a fresh environment, and run many agents in parallel while the code stays cleanly separated. He credits this shift for his 50x jump in output and urges builders to move work into the cloud as fast as they can.
Staying Sane at 50x With 22 to 40 PRs a day, Ryan treats his job as making 10 to 20 high stakes decisions before lunch. He pins his most important threads, checks them on a roughly 25-minute cadence, and works from his phone so his agents keep moving.
Automations That Run the Business Ryan shares three automations: an end-to-end signup test that browser-tests three times a week for about $60 in tokens, a 9am production watchdog that summarizes customer activity and links to real UI, and a daily self-improvement loop where an agent named Grace grades chats on a rubric and ships roughly three fixes a day.
Token Costs and Model Routing After a $20k token month, Ryan settled on roughly $5k per employee plus heavy model routing, using cheaper fine-tuned models like SWE 1.7 for loop work. He favors independent agent labs such as Devin, AMP, Factory, and Cursor for affordable long-term engineering, while enjoying the subsidized Codex Mac app for everyday tasks.
Reputation and the Long Game Ryan closes on building a software factory where agents write, review, and ship 100% of your code, plus building credibility by sharing your learning on X. He points to Sahel Bloom's rise from private equity to a million-plus followers and a New York Times bestseller as proof that publishing what you learn opens doors.
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Ryan’s Website: https://www.ryancarson.com
X/Twitter: https://x.com/ryancarson
Untangle: https://untangle.us
