In short
NICconomics episode with Andrew Pignanelli about CoFounder, an AI “chief of staff” that helps founders run businesses as “one person billion dollar companies” by automating the “million paper cuts” (scheduling, emails, research, recruiting sequences, competitor monitoring, content monitoring). He demonstrates human-in-the-loop approvals to prevent mistakes (he previously received ~20 unwanted calendar invites in spam).
Guest backgrounds
Andrew Pignanelli is founder of the General Intelligence Company of New York; CoFounder is his first product. Co-founder and he raised funding, launched Sept 8, and claims ~6,000 customers and mid-hundreds of daily active users by Oct 27.
Key claims
CoFounder uses integrations plus a memory system (not just querying) and MCP-style tool instructions; it supports natural-language automations (“agents all the way down”), queues actions for approval, and can auto-run with permission.
Notable examples
fundraising—CoFounder reads investor-intro email chains and adds “holds” to the calendar; scheduling—finds free slots and sends invites after approval; monitoring—tracks up to ~100 URLs for changes.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Vision for One-Person Billion Dollar Companies
0:46 to 2:31
Discussion on helping entrepreneurs grow businesses without traditional scaling methods.
“And your first product is this product called Co-Founder.”
Integrating AI into Daily Business Operations
2:32 to 4:52
Exploration of how AI can synthesize data from multiple sources to enhance productivity.
“I've been thinking about this a lot myself because there is so much data out there that we just individually create, right?”
Addressing the Million Paper Cuts Problem
4:53 to 5:59
Understanding small daily tasks that bog down entrepreneurs and how automation can help.
“where entrepreneurs are trying to fix, right?”
How CoFounder Enhances Scheduling and Communication
6:00 to 6:58
Details on how CoFounder assists with scheduling and context-driven communication.
“There's a lot of effectively either context building that you have to do as an entrepreneur or handing off context to another individual so they can go and execute a task.”
The Importance of Human Oversight in AI
6:59 to 9:19
Discussion on why human approval is needed in AI-driven tasks and the benefits it provides.
“If you have to go across town, you're not going to be there in time.”
Interacting with AI Agents Effectively
9:20 to 9:58
Insights on how to communicate effectively with AI agents to optimize their performance.
“and then you can just hit all of these things at the same time.”
Demonstrating CoFounder’s Features
9:59 to 11:15
Live demonstration of CoFounder’s capabilities, including scheduling and task management.
“Or is that kind of a good way to think about how to interact with these agents?”
Understanding CoFounder’s Memory System
11:16 to 14:00
Explanation of how CoFounder utilizes memory to deliver personalized insights.
“And this to-do list will like, it can be really long or it can be really short.”
Connecting Google Sheets
14:00 to 15:00
Learn how to connect Google Sheets for automation.
“And I don't think you can see in this tab, but I connect to my...”
Understanding CoFounder and Quad Differences
15:00 to 17:00
Explore the differences between CoFounder and Quad's operational systems.
“And I think that's the biggest difference, is it knows me and it can do this stuff.”
Show all 23 chapters
Creating Automations with CoFounder
17:00 to 19:00
Discover how to effortlessly create automations using CoFounder.
“And like, it's all with natural language.”
Handling Emails with CoFounder
19:00 to 21:40
Learn how CoFounder can manage and respond to emails for you.
“And then if it doesn't find it there, it runs an actual agent search?”
Onboarding Process of CoFounder
21:40 to 22:40
Understand how CoFounder simplifies onboarding for new users.
“It structures the memory for you on its own.”
User Demographics for CoFounder
22:40 to 24:20
Explore the types of users benefiting from CoFounder.
“Is it just a lot of tech founders or are you getting people, you know, SMB owners all the way to corporate individuals?”
Monitoring Websites with CoFounder
24:20 to 26:20
Learn how CoFounder can monitor websites for changes.
“I have a draft and send emails and I have a draft and send calendar invites so that I don't have to think about it.”
Integrating with Limitless AI
26:20 to 28:02
Discover the integration features between CoFounder and Limitless AI.
“So the fact that you guys have an API integration with them, I'm like giddy as a school child right now.”
Building a Scalable Automation System
28:02 to 29:10
Learn about the trade-offs in creating scalable API integrations for business automation.
“But only if you have the API integration, right?”
Competition and Unique Value
29:10 to 31:03
Explore how to differentiate from competitors and focus on creating autonomous companies.
“I mean, yeah, it's a highly competitive space, but our goal is not to make a good AI assistant because then it would be competing directly against Anthropic and ChatGBT, right?”
Problem Solving Within Organizations
31:03 to 33:19
Understand the critical roles of coordination and department integration in business.
“Because that's like, you have to start somewhere and that's one of the most solvable things right now.”
Educating Users on New Systems
33:19 to 35:08
Discuss the importance of onboarding and education for new technology users.
“this information or something like that.”
Personalizing User Experience
35:08 to 36:38
Delve into how AI can enhance user experience through personalization and automation.
“I went and I studied you and I know everything about you.”
Concerns About the Future of Work
36:38 to 38:08
Reflect on the implications of AI on jobs and the economy in the coming years.
“Obviously, you solve your scheduling problem.”
Inviting Engagement with CoFounder
38:08 to 39:39
Find out how to engage with CoFounder and its current status in the market.
“They say, oh, well, yeah, I mean, you know, we're going to lose a bunch of jobs, and then AI is going to automate everything, and it's going to be great.”
Transcript
Automatic transcript. May contain errors.0:00I can say, do this every day and send BABM on Slack. And co-founder is going to go ahead and make that an automation. Wow. That's all I have to say. And it sets up everything for you. I actually learned that one the hard way. It sent like 20 different calendar invites to people in my spam folder. I actually learned that one the hard way. It sent like 20 different calendar invites to people in my spam folder. And I literally had to send apology emails to everyone and then block the people that needed to block. One of the coolest things that I use it for while fundraising, the co-founder, read all of these and put them in my calendar as holds.
0:32And it did that and it saved me a ton of time.
0:39All right, Andrew Pignanelli, welcome to NICconomics. I am really excited to have you. The reason I'm excited to have you is because you founded a company called the General Intelligence Company of New York. And your first product is this product called Co-Founder. I saw this video that was released and there was a tagline that you had in there that really caught my ear, which was we want to facilitate one person billion dollar companies which sounds outlandish but you guys have raised a good amount of money you launched in on september 8th of this year today is october 27th and you have already 6 000 customers you've got in the mid hundreds of daily active users the company is growing really really fast and i think you're tackling this really cool unique problem which is how do i as a founder extend myself without having to do it the traditional way, which is hiring a team, onboarding a team, and growing that way.
1:28And I think for people who are listening who are entrepreneurs, that's what they want to figure out is like, how do I grow my business without necessarily having to scale the people side of things? So my first question to you is, what does it mean to you to help companies become one person billion dollar companies? Yeah, well, thanks for having me on. This concept is really important for us. We like to think about entrepreneurs all the time and the challenges they face every day. And going after this one person billion dollar company is like a long term goal on just solving those problems for them, you know, in their day to day lives.
2:00We wanted to make it really, really easy for people to start companies and to run companies. And that's what we started was with that goal of making it so fast, so easy that you could have a business idea at night on Friday and then by Monday morning have an actual real legitimate business. And so that's really what we're working towards. We've seen it resonate with people too on like the early signups of these like startup founders and entrepreneurs and things that are just trying to use it to give themselves more time in the day. Yeah, it's really interesting. I've been thinking about this a lot myself because there is so much data out there that we just individually create, right?
2:38I've got my Gmail. I've got Google Docs. I've got text messages. We've got Slack. So you've got your CRM where you track leads, where you document things, et cetera. and like i'm constantly thinking how do i create an end-of-the-day context document so that tomorrow i can just be off and running and have ai help me with a number of these processes and as i've been thinking about it you know the hard part is getting all those to tie in but also making sure there's enough capacity for ai to look through it synthesize it and then you know give whatever analysis and context it needs how do you do it like how are you connecting to all these disparate data points?
3:18Is it magic? Don't lie to me. It's magic, isn't it? It's definitely not magic. And I sometimes wish it was. We plug into all these different systems and we off into them. We actually built these integrations ourselves because if you use someone else's standard, you tend to lose the ability to control the experience. So I am a novice. Are you technical? Are you like an engineering background? Okay. So I'm not. I am what the kids call a vibe coder. Cloud code is my tool of choice. But you said a couple things in there. So MCP, I just want to define that for people. So that's the model context protocol.
3:58Can you explain exactly what that is? Yeah, so MCP came out in, I think it was February, where this is the Anthropics take on how do we get a bunch of agents connected to a bunch of tools. And it's this new standard where you take like an API, which you can plug into some service and you give it a series of instructions attached to the tools. And so you can essentially just give this thing to an agent and it can read the instructions and use the server to run the tool. So if we're talking about emails, there is a Gmail MCP where it says, oh, if you want to send an email, use the send email tool.
4:37Now, this is different than an API, which is essentially just a list of all the tools that you can use. And so I think that's a big difference. Let's back up actually even just a little more because I want to talk about each one of these things. What problem is this solving that you created where entrepreneurs are trying to fix, right? Like what problem is it actually attacking? Yeah, so we call this the million paper cuts problem, which is less of like one single thing and more of like there's a million things you do every day that are small and they take a bit of time I'm going to take a bit of brand capacity.
5:14So think of it like you have a couple people trying to schedule a meeting and you need to get them together. You need to send a calendar. You need to send someone an email with info on your company. You need to get a document from one email, put it in another and send it across to someone. You need to forecast a budget, but it's, you know, it's relatively simple. Or you just need to research something. Like all of this stuff is relatively small on the surface. But if you're an entrepreneur and you're a business owner, you have to do a million of these things every day. And so our solution is with CoFounder takes a lot of that off her plate and it's able to just do it for you.
5:54We're pitching it as this sort of chief of staff or like self-completing to-do list that you have every day. Yeah, because for a lot of entrepreneurs, especially as you're scaling, it's like, oh, it'd be nice to have somebody to schedule this meeting or to give me a prep document for this person I'm about to meet with or to be up to speed so that I can understand where I even pull sales data from a CRM. There's a lot of effectively either context building that you have to do as an entrepreneur or handing off context to another individual so they can go and execute a task. So like you're saying, it's like a million of these little cuts kind of throughout the day.
6:27This would allow across all of those data sources or I don't even know modes of communication, right? Slack, email, text, et cetera, for co-founder to help you as a chief of staff, right? It's like to kind of be an extension of you. Yeah, exactly. It's like, it's just like a thing doer, what we call it. And it pulls, and the reason it's good at that is because it pulls in the context from how you actually work. So like instead of just doing stuff, it does stuff while knowing you. So instead of just scheduling a meeting, it knows, oh, you're not going to be there. If you have to go across town, you're not going to be there in time.
7:03So you can't schedule at that restaurant. Or instead of just writing some random reply to an email, it can write a reply knowing the context you need to write that email, which is a really big thing that you see as an executive is just having to have this knowledge to deal with these things. What are the biggest use cases you're seeing people use CoFounder for right now? We are seeing a lot of scheduling and emails. A big one is also research. One of the things CoFounder can do is it can monitor a set of websites and give you updates on those websites. So if you give like 20 websites, it can give you an update every time something changes.
7:36So we're seeing people use this for competitor monitoring, for content creation, to let's say monitor a bunch of blogs and pull in content from them and then write your own blog piece. We're seeing people use it for recruiting. They use it for recruiting like automatically by setting up sequences. We see people using it for keeping themselves up to date every day. I think I'm the most curious about what's it doing in the scheduling? Is it making decisions? Do you like, hey, co-founder, schedule a meeting with Barry for next week, find any time, and then it goes and does it? Or like how does that interaction work?
8:11Depends on what you ask, right? So if you say find any time, it would use the look at your calendar and find free slots on the calendar. If you say next week, it's going to make a decision about what that means. Maybe if you say next week, it might be like Monday. And then it will look at the free slots in your calendar. And then it will figure out who the person you were talking about is by searching them in your email. And then it will actually send a calendar invite. Now, we've built all these guardrails so that it's not just sending these things willy-nilly, you know. I actually learned that one the hard way by not having those guardrails and plugging my email and calendar.
8:49And it sent like 20 different calendar invites to people in my spam folder, actually. Yeah, I literally had to send apology emails to everyone and then block the people that needed to be blocked. The way that works now is like it queues it up and it's like, hey, this is a calendar invite for this next week. You want to send it? Yes. And so the biggest change from your workflow goes from like having to go and do that to just approving it. And now you're seeing all these things and you can just approve them and you can approve the emails that are written and then you can just hit all of these things at the same time.
9:23Can I see what that looks like? Yeah. And while you're pulling that up, I'm curious on your thoughts here. I've been thinking a lot about AI and agents in particular as if you want them to work well, you've got to treat them as humans. I know that kind of like sounds weird to say, But if you had unlimited money and could hire an assistant to handle your schedule, what would you need to tell them in order for them to work well? You'd have to be very specific. You don't just say, hey, schedule a meeting with Barry. It's like, oh, schedule a meeting with Barry at this place next week during these times.
9:53It's the same thing. It's just you're happening to be using AI, which feels a little bit weird. And so with what you're building, do you feel that philosophy? Am I oversimplifying it? Or is that kind of a good way to think about how to interact with these agents? It is changing the way that you're thinking about this stuff now. Like we lean into stuff and companies where they're also down to lean into AI. If you're able to, you can lean into it really hard. And it does change the way that you work, right? So like instead of opening your email the first thing in the morning, maybe you'll open co-founder and tell it to read your email.
10:29Or like instead of starting the chat session, you might make an automation that starts this chat session. And what did you type in here? I'm looking at this right now. So co-founder has a chat window that you go to and you're interacting with. So I asked it, what's my calendar look like on Thursday? And so this is to give you an idea of like how it works, right? So it uses its memory system to see past calendar events, but future calendar events are not in the memory yet. And so it did a search and it found what I'm doing on Thursday, which this is all accurate. Like this is the things there. And then it's giving me a response, right?
11:04So morning, I do this. During the day, I'm speaking at that time. And then in the evening, I have cocktail hour and then a party, right? So that's how it kind of uses the tools. And it's got this to-do list. And this to-do list will like, it can be really long or it can be really short. So I can say... Oh, is that native in CoFounder? Yeah. So this is one of the ways we trip the agent into running for a long time. so I can say something like it's true and I can say something like okay put this in a Google sheet with each event in a row and so now this is going to use the spreadsheet tool to go and put this in a Google sheet and you'll see the to-do list light up and it will be able to show you that I'm assuming you've given it access to your Google Drive and your Gmail and all these things have already been ported in yeah I can show you that in a minute Let's watch CoFounder run on this sheet for a sec, and then I'll go ahead and show you the integrations.
12:08Yeah, I mean, it plugs into everything you use in your workflow. What are you running this on top of? What model is this using? Right now, this is using Claude 4.5 Haiku. We can use 4.5 Sonnet, or we can use ChatGPT-type models. So you can see there, it made this to-do list where it has been published and added them. And it's going to cross items off on this to-do list uh as it does it does it yeah and the models have been a little bit slow today so it might be a little slower than normal but it will go and like you know do this across different integrations and things and you should make these to do this really long oh yeah there we go so this shows you the uh the human in the loop aspect a little bit it can feed a guble sheet and if i click show more it should be able to run that but it needs you to actually say yes run correct yeah so let me try this.
13:02Is it to the point yet where it's, it doesn't need you or like, why, like, why does it need the human in the loop? We've set this up so that you can go and do it like that because we don't want the agent just doing stuff for you. Right. So let's say this is a very long, complicated spreadsheet that you made. You don't want it just writing to that spreadsheet without your approval. And what you can do though, is you can set this to auto approve, which will just keep running. Just do it. And it will basically say yes to everything. And so if you're doing something that's a really long time, you're going to want it to do that.
13:36So if I click this, I might have to log in with my other Google account. But not yet. See, there it is. And really quickly, I want to show you what connecting stuff looks like. If you go to the integrations page, we've got all these integrations connected. And so like Google Drive, Intercom, Loops, Notion. And I can show you how this works. If I click disconnect here, it will just disconnect it. It just takes like three seconds to connect to Google Sheets. And you just hit continue. And I don't think you can see in this tab, but I connect to my... No, I can't. I'm just looking at the account connection in progress.
14:12Yep. And then I just click that and then now it should be good. It was just like two buttons on the other side. I clicked the Google login screen. So, you know, we plug into all this different stuff. How is this different than like if I'm in quad and I've connected my Google Drive and my Gmail and I want to query it like is this different or like how does it how is it functionally different. Yeah, so you can do pretty simple operations in a very similar way to Quad. But one of the biggest differences is the memory system that we've added. So this knows things about me, as well as, so I can say something like, what's going on in engineering?
14:52And it will pull stuff from its native memory. And it will tell me the things that have happened from my memory in my company. And I think that's the biggest difference, is it knows me and it can do this stuff. Yeah, because if I was in Quad, I'd either need to have, if it's a project, either have to add new context documents to the project or have some way of getting it up to speed on what's going on. It's not persistent. And there's one thing that I haven't shown you yet, which is the way you make automations. Now, CoFounder is the easiest way to make automations in the world. So I can say, okay, do this every day and send B-A-B-M on Slack.
15:31And CoFounder is going to go ahead and make that an automation. and this and that's it that's all i have to say and it sets up the web hooks and everything and it sets up the the context and the tools and everything for you and so if i click this it will go to the flow and this is like this is the automation now it runs every time so if i want to like try it i can click test and it's going to test it it's going to run it right now for me and like this you don't have to go through zapier like you don't have to go through zapier it runs the automations for you? Exactly. Runs them for me right now.
16:03So it's, it's testing this right now. It's like pulling up the flow. And so now it's initiating, checking GitHub and sending a Slack message. That's really cool. Yeah. I mean, it's all natural language based. Like if I want to change the plan, if I go to the flow here and I want to change the plan, I can just click it and I can edit it and change it right there. If I want to change the integrations, they happen automatically. I can't even choose these is because the agent just knows what I want. So like if I was a business owner, I'd be like, you know what? I want marketing report end of day, every day.
16:37I want engineering to report every day, end of day. I want finance once a week. And I could come in here and say, give me the marketing end of day report. This is how I want it to look every single day, sent to my email. And then it would just create that automation. Exactly. Yep. And you can have it asked you for permission to do whatever you want, or you can have it run automatically. So, you know, if I said to run automatically, it won't ask me permission to send it in. it will just send me the report. And like, it's all with natural language. So you can just tell the agent you don't like how something is and the agent will change it for you.
17:08And so this is like a big part of our thesis for the company, which is like agents all the way down. Everything is an agent. And if you do that, then you can do everything with natural language and we can like, things just kind of work together and they can operate together. And that's how - Can it respond to emails for me? Like, let's say that I wanted to, would I create an agent to do that? Or if I was like, hey, I just want you to go through all the emails that I get every day with questions that you know how to answer and answer those questions and then star all the things that I need to look at.
17:38Because as an entrepreneur, there are things that I don't need to look at, but they come to my email because whatever, payroll processed, here's the update that it actually processed or there's a customer question, but it was handled by my marketing team. I don't necessarily need to see that, but how would I set it up as an assistant to basically handle my emails? Yeah, so it's just as easy. Like this one, for example, is someone wanted to take emails from investor updates and forward them to whoever this is. And co-founder just has access to your email, right? I don't get investor updates because I'm not a VC, but it was just as easy, right?
18:15You can read my emails. And so I'm going to try to see if I can do this without leaking all the emails in my inbox on this podcast. but we'll see what was your email address nik email from nik at co-founders co-founders dot com i think i made the joke to you when i saw your video that i was like yeah i want to buy my website someday so it's going to do when it's loading here it will do a memory search and it was was not able to find you in the memory search but it will be able to find you in like the long run agent search. And so now it's just going to search my Gmail and find it. So it does two searches.
18:57Is it like storing a, I don't know, static context document every day of kind of updating your history? And then if it doesn't find it there, it runs an actual agent search? Correct. Yeah. So that works more for like concepts and like people, you know, does it currently respond to emails for you? Yeah, if you want to. So I can say, let's see, send an email to Nick saying I'm excited to be on his podcast. And so when it will pull up this thing, it's not going to send it immediately. This is one of those things where I have to approve it. But yeah, I mean, we've got a little email out of our tier.
19:34And one of the things is it makes a to-do list every town. So very simple tasks take a minute. We're looking into making that faster. Hey, I don't know if you remember this, but when we started this podcast, we entered into a social contract. I would spend time, energy, and money producing this podcast, interviewing these individuals and giving you insights into how to build, buy, start, grow your business. And you would like subscribe and leave me five-star review. Now, out of that, we both get to talk to really cool people and hear really cool insights. We both get a ton of value, but I just want to help you keep your word.
20:08So would you do me a favor? Will you go leave a five-star review for me on Apple or Spotify? It would really help. and if you want even share this with a friend you could kind of just operate within co-founder and never leave that window like you don't need to go to slack you don't need to go to your email i mean i don't know maybe i'm wrong it just feels like you could get any updates here and not have to like context or not or windows switch i guess is that did you design it that way we did yeah and we're actually launching this this feature we call like to-do list or home where instead of mini to-do list it's uh okay it has an email i don't know i guess it's like running issues with the gmail tool but you could do everything from within co-founder and basically make this to-do list and then have it complete itself can you tell it hey these types of emails you can always respond if you know xyz like can you effectively automate the responses does that make sense because like i've handed off things to my executive assistant she just answers emails i don't i don't have to like check anything but there are certain things she can't she stars them for me and then i to look at them later.
21:13Yeah. So here's an example of like one that looks at my email for spam and it's really inefficient, but it does work where it will say, oh, you know, if it's from here, mark the email as spam. And like, here's an example of some email from someone and it scanned all these emails and it said, oh, you know, these are, none of these are spam. So it didn't actually need to mark them as spam but i could also have it respond to these emails so i like respond to the last one and then it will just like pull it up and write a response if i'm an entrepreneur or if i wanted to use this how hard is the onboarding because if i just connect my google drive there's a million things in there do i have to tell the ai what's what or does it go through and sort of comb it and self-identify what's important and what's not it goes in and it finds all that stuff out.
22:09It structures the memory for you on its own. And actually, people love our onboarding. We have become known as one of the nicest onboardings in the industry. And it figures out your style, figures out your calendar, and it just reads for you. And we actually designed the onboarding so that you only have to type something in twice, which is your name. And it's actually already filled in for you. It's your name and your company's website. And both of these things are filled in for you if you use your company email. And so what industries are you seeing people use this in right now? Is it just a lot of tech founders or are you getting people, you know, SMB owners all the way to corporate individuals?
22:46Like who's actually using this tool? We've seen a lot of tech founders. I think that's our biggest, biggest sort of segment. We also have people from like mid-sized startups, like thousand person companies, some of the companies you might have heard of. I don't know if I should name drop it or not right now. That's okay. Yeah, I don't know. It's fine. Big companies. the biggest companies many people like you know they're huge you just we we do have a number of investors that use it too because they like the monitoring system a lot also i've talked to a bunch of investors all fundraising and i think it stuck with them and then we've had some requests for like services businesses as well like people doing agencies or like accountants and things like that that are just using it to save themselves time.
23:38What's the monitoring function? You can set it, you can give it like a list of URLs and it will monitor those websites for changes. And so what DCs will use it for is companies they're interested in or competitors of deals they're looking at. So you can give it like 20 URLs, like these are all the competitors. And then say, oh, monitor these for any blog posts or press releases. So you know when they get funded. How many could you monitor? Is it just like, what's the limit? I actually don't know. I think it's like a hundred or something. We may have just set that because if you go higher, it gets really expensive because we're basically putting a little mini, pretty cheap mini agent on websites to check.
24:18Yeah, I mean, I think a hundred, I could look into more, but. Are you using this? Of course. I use it for managing my schedule. I use the monitoring for competitors. I know all my competitors. I know everything about them. What's your favorite thing? So what do you use it the most for? I like the scheduling. I have a draft and send emails and I have a draft and send calendar invites so that I don't have to think about it. Okay, so one of the coolest things that I use it for while fundraising, and I think this is the most useful thing that I've used it for ever, was when you're fundraising, you get introduced to like 40 different people and you have to meet them all as quickly as possible.
24:53And so you immediately turn these conversations into scheduling. And the problem is someone has an assistant or someone needs to get another person on. And so you have all of these email chains where there's a date and time decided, but they're not in your calendar. And it is impossible to tell when you're free and when you're not. So I told co-founder, read all of these and put them in my calendar as holds so I can reason about when I'm free. It did that and it saved me a ton of time. I mean, I like would have had to have an actual assistant to be able to do something like that. I've had this pendant.
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25:28It's called the Limitless AI, but there's others like Plod and I can't remember. or anyways, where it records a lot of conversations. Could there be a function within co-founder where I'm like, hey, go, let's take all the conversations I had today and just update my calendars on things that I said I would do? We literally have a limitless integration. Do you really? Yes. It's because a legend on our team has limitless and he likes to use it. So he'll like plug stuff in. So an example, we actually have always on microphones in our office that plug into co-founder. It's a little crazy. where it's creepy a little while.
26:02I get it. Yeah. But then every day, it just assigns context and tasks to people or just tells someone if you're working on something like, hey, here's something you were talking about with this guy, about this feature or something. What's the automation with Limitless? Because I've found Limitless doesn't have a great ecosystem. So the fact that you guys have an API integration with them, I'm like giddy as a school child right now. It can list all the life logs and it can get all the life logs. So it's a read-only thing. You can't like push to it. But if you have, I think LifeLogs are like - But it can pull from it.
26:36Yeah, it can pull all the things from it. It can search for specific ones. It could do things like that. And so you can, if you pull stuff from Limitless, you can say, oh, you know, every day, pull all my stuff from Limitless and then summarize it for me and give me a transcript or something. I'd use Limitless when I go to conferences and I'd meet people and I'd have it on. And I'd be like, oh, Brian, nice to meet you. And then at the end of the day, I'd be like, who did I meet with? And it would list them all. and what do they do? And so I'd have like this CRM, if you will, of people that I've met with, companies that they're with and like things that we spoke about when I want to follow up with them, et cetera.
27:10But I had to do it all manually because I, and there probably is better automations at this point. This was like six months ago. So someone's probably screaming at the screen right now. I'm like, you moron, you can totally do this. But for me, it would just be nice to have something that at the end of the day, goes and pulls all of those logs and then creates, here's to-dos, here's a schedule, here's who you should follow up with, updates a CRM. Could it do those things? Could I tell it to do that? And at the end of the day, it's populating my CRM and email and setting calendars, etc. It would be really easy.
27:42Really easy? In fact, you could just tell it exactly what you told me. CoFounder could make that happen. Oh my gosh. We like to say it's the simplest automation experience in the world. It's just because it's all natural language. And if you're describing, if you can effectively describe what you want done, you can get it to happen. Wow. We're pushing it as far as we can. It's really interesting. But only if you have the API integration, right? Like if I'm trying to get it to tie to something you don't have the API for, then we got to figure something else out. Yeah. And like we're working towards how to make that scalable because there's a trade-off between how wide you go and how tall you go, right?
28:23So we could have like a million integrations with like no depth and that's one way to do it. or we could have like 30 with a lot of depth and that's the other way to do it. And we're picking the latter option because we want to build this system. Our goal is to build this system of a company, right? And not to build into everyone's system of a company. And I think there's a big difference there. But how worried are you about competition? Because like I was talking about Comet or Atlas, I created a workflow automation in Zapier last night using Atlas. And I was just like, hey, go to Zapier and create this for me.
28:57And it did. It wasn't like anything incredible, but it created the automation for me. Are you worried about competition or like how do you kind of view a changing landscape and trying to build a moat at the same time? It just like that would scare me. I'm not super worried. I mean, yeah, it's a highly competitive space, but our goal is not to make a good AI assistant because then it would be competing directly against Anthropic and ChatGBT, right? And they have way more money than we do. Our goal is to make autonomous companies. and that is really where we're going to unlock the value and it's really you know our value is going to come from enabling somebody to start a business and run a business immediately and in a way that is legitimate and not just slop you know allowing them to do that and co-founder is just our first step and so you know with our vision competition doesn't worry me very much how do you enable these companies so co-founder is essentially our first step and it's like this chief of staff assistant thing, right?
29:58But we're really focused on solving the coordination problem between departments. So when we talk about like how we're actually going to get to the one person billion dollar company, it has more to do with being able to coordinate things together as opposed to just making this assistant. And what that actually means is we want to plug into all these vertical agents that people are building. We want to wrap it up and make it really easy for an entrepreneur to use. So for example, you've got coding agents, you've got product analytics agents, and you've got customer support agents. If you can coordinate those together, they're all operating autonomously.
30:33You can work towards a high level goal of like increase my customer retention, but each of them individually is not going to do that. And so we're working on coordinating them together for the product department and the sales department and the marketing department and the ops department and building these agents that can work on goals that are much higher level and then eventually enable these people to own these companies and run these companies. So the first vertical that you tackled was chief of staff assistance. Basically. Yeah. Because that's like, you have to start somewhere and that's one of the most solvable things right now.
31:08That's what we saw at least. But what do you think is the next easiest solvable, most solvable problem within an organization? I think the product department, but I don't think entirely. I think just enabling at a higher level above value coding. So take, for example, like something like Lovable, where you can make an app full stack, right? We want to take that and extend it to, okay, you have your app. Now you can extend it to more business. You can plug in analytics and you can have an agent operate on the analytics and you can plug in a customer support agent. And now you've got this product department as opposed to just a product.
31:46And so that's what we're going to be doing next. how do you think about educating the market? Because for example, I worked in hospice. Do you know what hospice is? Yeah. Hospice is end of life care. And many people think hospice is, oh, now I'm dead. But the truth is many people live sometimes more than a year on hospice. Hospice is really just about managing symptoms. You have a terminal diagnosis and a prognosis of six months or less, and we help you die comfortably. I mean, that's kind of the easiest way to say it. But there's a lot of education that goes into that because many people just think, oh, I'm on hospice.
32:18I'm dying tomorrow. You're just going to give me morphine. And so we have to go out, talk a lot. That's the first time you probably had your product compared to hospice, but your product is similar in the sense that there's an education component on how do you use these things or what do you need to have in order to even unlock the potential there? How do you think about educating or creating a market that really isn't educated? Yeah. I mean, new user experience is really important for this. So I think pushing content out. Getting people towards the product is one thing, but then you have to push content out within the product.
32:50So when someone opens it up and they see this empty box, it's like, what do I do? That's the biggest problem you have to solve when you're working on an app like this. And we're solving it by using this memory system that we've built up to see what you want to automate before you know it. And this is really, really key. And one of the things that we're putting a lot of work to right now is like, okay, I know that whenever you get an invoice from this email, you forward it to your accounts payable department, or I know every Monday you send an email to this person with this information or something like that.
33:25Pulling those things in and like making these automations for people is really, really big. And so this is like a one way of educating is like how this is how you do it. But then there's the content on like, okay, well, how do you build these automations into your life that we're pushing out on like content of like how do we use it how do i use it what is what does this person use it for you know like there's two problem sets one problem set is just getting them to make the decision to use it right like okay i've hook up google and hook up slack and hook up whatever all these other tools great now it's there then there's problem number two well how do i use it oh it's like the first time i hired a virtual assistant cool i have a virtual assistant now.
34:05How do I use them? I have to educate them. I have to tell them exactly what I want. And sometimes I don't even know what I want, right? So what does the onboarding look like for new customers? Are you going through that process and asking them a bunch of questions or are you just figuring it out as you go? Like how does it? Yeah. Our approach has to do with figuring it out from the data that they connect. So we require our users to connect their emails. and when you have their emails, you can see what integrations they use and their patterns in using these integrations. And so you can figure out how to help people based on that.
34:42And just internally, like if you just give the agent access to that and you say, automate this stuff for this person, you'd be surprised as to how well it actually works. And so that's kind of our approach and pulling in things like style are also really important, like style for emails. Your chief of staff has to write the queue and talk like you. And then if they're sending emails as you, it has to be like you. So there's another really big thing with co-founder is like this preferences memory as well. Does it prompt you? It's like, okay, cool. I went and I studied you and I know everything about you.
35:16Does it then tell you, here are five things I can do for you? Or do you have to be pushing it to say, go write this email, do my scheduling? Like there's gotta be like a push and pull, I'm assuming. How does it work? Yeah, so you come on and we get your preferences for your email. and your calendar by reading your email and reading your calendar. And we figure out what you do based on all this info available on you online. And then we use all of those things once you're done onboarding to make four automations for you and say, hey, based on this, I made this for you. Yeah, and so you get the first couple.
35:51After that, you've got templates that people can use, but we're trying to make it so that constantly you're getting this info of like, Like, hey, I made your life a little better. Here's how you do that. Or like, oh, you know, I saw you're spending time on this. Here's how you do that. And then are there lots of like proactive things like that where, hey, you haven't talked to me in a while. Let me just send you this message saying, I'm noticing you're talking a lot more in Slack. Would you like me to create daily stand downs for you? We're a bit early on proactivity. We have like, we have a system that gives you these automations and it can run these every week.
36:26So it can give you new automations every week. But we want to make it much bigger than it is and much like really know you. So it's not all the way there yet, but it's coming very soon. What are you personally the most excited about building for yourself? Like selfishly. Obviously, you solve your scheduling problem. But as you look at this, maybe a year out, two years out, three years out, what do you think are going to be some of the coolest features that AI, maybe it's not even within co-founder but what do you think of the coolest features that are coming down the pike with ai i think the coolest feature that we haven't built this yet and no one's really built this yet is the ability to like have this sort of dashboard where you spin up a bunch of agents and you control like an army of agents basically so you know one of our goals is to make it feel like you're playing a video game but it's a real business in the real world and i don't know all the details to what that will look like, but I do know we're going to build it.
37:24It's amazing. That's the thing I'm mostly excited about. I know it's a little abstract, but it's like, okay, well, what if we can make it like playing a video game? Does any of this stuff freak you out? Like, does this at all make you nervous about where AI is heading? I think there are serious concerns about what people are going to do for work in like five years. I believe that one of the best avenues will be starting a company and like having equity in that company. But aside from that, like, I can see this thing doing the jobs of multiple people. Like, these white-collar jobs, these knowledge-word jobs are not long for this world.
38:02So that makes me nervous. And I don't think any of the experts have given convincing answers as to how we're going to go from where we are now to, like, this post-economic, you know, AGI society. They say, oh, well, yeah, I mean, you know, we're going to lose a bunch of jobs, and then AI is going to automate everything, and it's going to be great. what's like, well, okay, what happens when everybody loses their jobs, though? Like, there's a gap. If you look at these clips of these people, these CEOs of these big AI companies, they don't give the best answers. And they don't give concrete answers either.
38:35They basically say, I don't know. And so that also concerns me a little bit. Yeah, I'd be worried if our ability to scale energy production and capacity was clear. but we don't even have enough energy to be able to power all the things that we'd want to do with AI. I think that will be a bottleneck anyways which will give us time. If the power was all there right now I probably would be a little more worried because it feels like that's the limiting factor at this point. But I don't know. We're all just making it up. Yeah, I think like I mean it doesn't really keep me up at night but it is something that I think about and it is something that I think the world's going to have to reckon with at some point.
39:14Well, where's the best place for people to come find you or if people want to look at CoFounder, is it live? Is it beta? Is it invite only? How would you even mess around? It's live on cofounder.co. So you can go check it out there. You can connect with me on Twitter. Just my name, Andrew Pippimelli. And you can also follow a company on Twitter. But yeah, I mean, we're hiring. We're hiring great engineers in New York. You can go and test out CoFounder for yourself. We're going to have SOC 2 in like a week. So if people are concerned about data, then we got all of that. By the time this comes out, they'll have sock too.
39:48Don't even worry about it. So that's it. That's how you find me. Awesome, man. Well, this was fantastic and we'll talk soon. Thanks so much, Nate. All right. Hopefully you liked that episode. And if you've made it this far, you're either really committed or you're stuck doing yard work and you can't actually skip on your phone. So while I have you, the show is growing, but I have a favor to ask of you. Will you please help me grow the show? I want to reach more people. There's a couple of things that you can do. Like and subscribe is the simplest thing. Obviously, you want to get notifications for when the next episode is coming out.
40:18But if you go the next step, will you leave me a review five star on Spotify or Apple? What that does is it tells the algorithm that, oh, hey, this is a high value podcast because more people are leaving reviews for it and it then pushes it out to more people. So that's why when people are like, will you log and subscribe and put the five star rating? It's not just to make themselves feel better. It's actually to get more exposure for the show. So if you do that for me, I would greatly appreciate it. and I'll see you next time.
From the publisher
MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribe
Join me, Nik (https://x.com/CoFoundersNik), as I interview Andrew Pignanelli (https://x.com/@ndrewpignanelli). In this episode, we dive into the wild reality of building one-person billion-dollar companies. Andrew is the founder of the General Intelligence Company of New York, and their flagship product, Cofounder, is acting like an AI Chief of Staff for entrepreneurs. We talk about how business owners can finally cure the "million paper cuts problem", those tedious, daily tasks like scheduling meetings, managing emails, and competitor monitoring that quietly drain your time and brain power.
Andrew explains how his platform goes beyond standard AI assistants by using a unique memory system to learn your workflow, allowing you to build complex automations autonomously using just natural language. We also zoom out to debate whether these powerful AI agents will soon wipe out traditional knowledge work and what that means for the future of the economy. If you want to know how running a highly successful real-world business might soon feel as easy as playing a video game, you won't want to miss this.
Questions This Episode Answers:
- How can entrepreneurs scale a massive business without having to scale their human team?
- What is the "million paper cuts problem", and how can an AI Chief of Staff completely take it off your plate?
- How does a dedicated AI agent with a memory system outperform standard AI tools when managing daily business operations?
- What are the easiest ways to use automations for tedious tasks like email management, recruiting, and competitor monitoring?
- Will advanced AI agents eventually replace human knowledge workers, and how should founders prepare?
Enjoy the conversation!
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Love it or hate it, I'd love your feedback.
Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.
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This week we covered:
00:00 – Intro: One-person billion-dollar companies
00:40 – What CoFounder is and why it’s exploding
03:05 – How AI connects all your tools (email, Slack, CRM)
05:28 – The “million paper cuts” problem CoFounder solves
07:44 – Top use cases: scheduling, email, research, monitoring
10:07 – Treating AI like a human assistant
12:33 – Live demo: reading calendar, creating tasks, using tools
15:00 – The easiest automation builder (natural language flows)
22:04 – Onboarding: how CoFounder learns your style and workflow
29:12 – Competition, vision, and the future of autonomous companies
