# Screensharing How This Guy Makes Millions with AI Agents (Rowan Cheung)

Channel: Greg Isenberg
Video: https://www.youtube.com/watch?v=4aOeju76me4
Duration: 43 min
Language: English (United States)
Words: 7427
Transcript page: https://viewrankai.com/tools/youtube-transcript/4aOeju76me4

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[0:00] Rowan Chung is the genius behind The Rundown. Now, The Rundown AI is a media company for AI that's generating millions of dollars a year. Now, I thought that The Rundown had 50, 100, 150 employees. No, it's a lot less than that. He just uses AI agents to actually scale the business. In this episode, he unveils it all, and I think it's for the first time ever. How he created an AI avatar that gets millions of views. How he writes tweets with AI that gets millions of views. How he writes a newsletter with AI that gets millions of views. How he created an EA AI agent that answers leads within seconds. How he's able to learn anything from a YouTube

[0:45] vid with AI. How he onboards employees with GPTs. How he built a partnership AI agent that works directly with his team. We give away all the prompts, all the tools, all the workflows, all in this episode. I hope it gets your creative juices flowing. Stick to the end. Give us a , comment, and I'll see you at the end of the episode. Long time coming. Rowan Chung on the pod from the rundown. My go-to guy when I need something explained in AI. Thanks for coming on. Rowan, by the end of this episode, what are people going to learn? Yeah, thanks for having me. I love the

[1:31] show. I love your content. So it's great to be here. By the end of the show, I'm going to share seven ways we use AI internally at the rundown. They're going to be business operation and content creation focused. We use AI many ways, but these are solid ones that people can walk away with. We're going to share some free templates that people can steal. and I think we're going to riff on just some general AI overview for the future. So when you say operations and systems, what I think you're probably talking about is how do you take a team that's maybe one, two, three, four people and make it seem it's 20, 30, 40, 50 people? Is that right? That's exactly right. So we

[2:13] have a team about 15. I think we operate as a 50 person team in terms of speed. But in some cases, we might actually operate faster because the headache of having 50 people is really burdensome. But yeah, we just use AI in so many different ways that, you know, we operate extremely fast and we can get a lot of work done. Okay, cool. Well, I'm here to learn just as much as everyone else. I think a lot of people who listen to that, they've seen other tutorials or videos and they're , yeah, right. There's no way that AI can make a team of five turn into 50. But if there's anyone who

[2:49] could prove it, it's you. So let's get right into it. Yeah, let's get into it, man. So we can start with this first one. I think this is probably the most popular one. It went pretty viral on Twitter, even though, I mean, this is Instagram. But basically, the problem we were solving was I have no time as a founder of the rundown. We're growing our newsletter, we're growing our ed tech side, and I also do content on the site as well. And I'm a writer first. I'm not great in front of the camera. I'm getting better, trying to get better. But we realized we're creating all this

[3:23] content in the newsletter and we have all these stories and it's so in demand right now with AI content. And we needed a way to push that writing into some short form video. At the time I didn't have a setup, I had nothing. So it was , okay, I don't have any time to do this. I'm not gonna do

[3:41] my hair and get in front of the camera. and record this five minute video, do six different takes. It just wasn't going to happen. So we're , okay, what if we run an experiment and we clone my face, we clone my voice, and we just have an editor who takes my original writing and pushes that into

[4:01] CloudScript so we can formulate that better for short form and then run that through the avatar. Then obviously it takes a lot of manual editing to make the pieces right. We've got to do a lot of storytelling. There's a lot of B-roll that we have to add. But we said, hey, can we do this? This is going to be an experiment. We're very open about it. So on Twitter, we're , hey, we're running this experiment. We're not trying to fool anyone. This is an avatar. But if anyone were to try this, we're going to try this. And if it works, it's a cool use case because I don't have

[4:31] any time to create content on short form anyway. So yeah, we started doing it. And it's been under a year. And we've grown to over 150,000 followers. so it's i'd say it's been a success yeah you can go through any of these some of the recent ones we've been experimenting with myself narrating it as well just because i now have a studio as you can see but i didn't have a studio before so we just use that avatar and it's way better than me anyways so you kind of go through these we had a few really viral ones sam altman the co-founder of open ai just said that it is the

[5:07] era of the idea guy and he is not wrong. I think that right now is an incredible time to be building a startup. And if you listen to this podcast, chances are you think so too. Now, I think that you can look at trends to basically figure out what are the startup ideas you should be building. So that's exactly why I built idea browser.com. Every single day, you're going to get a free startup idea in your inbox and it's all backed by high quality data trends. How we do it, people always ask. We use AI agents to go and search what are people looking for and what

[5:44] are they screaming for in terms of products that you should be building. And then we hand it on a silver platter for you to go check out. We do have a few paid plans that take it to the next level, give you more ideas, give you more AI agents and more, almost a chat GPT for ideas with it. But

[6:04] you can start for free, ideabrowser.com. And if you're listening to this, I highly recommend it. So 120,000 likes. I actually saw this one. Yeah. This is talking about Anguilla and the .ai domains being the number one revenue source for them. Is that what this is? Yeah, and you can see , if we reload this, the avatar is only really shown for the first three, four seconds. because the avatar

[6:30] portion of it isn't that great. But if you just show three, four seconds, it looks more real. The audio, on the other hand, audio is there. voice AI is really advanced. I'd say video is lagging behind a little bit. So the voice is also AI generated, but I'd say the voice is, sometimes it's better than me even. I mispronounce things all the time. But yeah, that's basically the way

[6:55] we do it. And I have an incredible editor who does all the storytelling. He pushes it all together. He's taking these stories from things I've written in the past. And yeah, it's a cool workflow that works really well for us. I can't say it's going to work well for everyone. It does take a lot of work. And you do need a really talented editor to be able to do this. But for those edge cases where you have no time as a founder and you really need to create content, short form content, and you're already writing, it's just kind of a no-brainer, right? So yeah, that's the first one. Yeah,

[7:34] I think the mistake a lot of people make here, well, there's a few mistakes. One is they don't pick stories that are going to go viral within short form, right? So they make the mistake of just picking boring content and wrapping it. you know you can have the most boring content but if it even if it's wrapped in the most beautiful short form as you know it's not going to go anywhere yeah exactly and the other thing is a lot of people think this work they see this workflow and they think it's one click to generate we do a lot of work my editor even says sometimes it would

[8:13] be faster if I just came in and I just quickly narrated it but I don't even have that 10 minutes of time and that break in the workflow every single day takes a lot of mental capacity. So it really works for us. But I think a lot of people get that wrong where they're , hey, we're going to one click generate this and it's going to be awesome. And they don't spend time training the avatar and HeyGen. I'd even mention the tools we use. So we use HeyGen for the avatar and we use 11 Labs for the voice. HeyGen has 11 Labs integration, but you actually want to do

[8:46] it separately because if you do it on 11 labs, you get higher quality and you just stitch it together. So those are the main two AI tools we use for this workflow. And yeah, I said, it takes a lot of editing between, but it is really useful for people who do get it right and get those stories right, you said. Yeah. And you can also, I mean, you can use tools , you know, Gumloop and Lindy and stuff that to actually pull in stories that are getting traction on places Reddit. And then so it's easier to kind of pick the stories. I know you're actually creating the stories but most

[9:19] people listening to this probably aren't writing how many thousands of words you write a day yeah that's a that's a good workflow and the other thing is just being active on x actually things break break out first and i'm me and you are both probably there 24 7 so we are really on the pulse but yeah if you're not on the pulse of things having something a gum loop integration where it's even pinging you on Slack for the top stories that are breaking out right now. That would be really useful. Yeah. Cool. Before we move on to the, to the next thing you want to show,

[9:58] why shouldn't someone, you know, people listening to this, you know, are starting companies, they're starting businesses, they're starting cash flowing businesses. Why shouldn't they do this? Well, I think I actually got asked this by a public company. he asked me how to do this and I went to his office and I explained the whole thing and he's really interested and in his case I actually think it was somewhat useful because he's actually from Switzerland and in Switzerland there's four different languages and he had to record these videos in four different languages every single day and it's it takes up hours of his day so for him it kind of is useful but for the regular

[10:41] everyday CEO there is some element to it where there is AI hate right If using an AI avatar for creating your videos people are going to think oh it not as authentic For me, it really worked because we're very open about it. And I'm , kind of the AI guy. So people accept it. They're , oh, this is really cool. He's actually practicing what he's preaching. But for a public, publicly traded company, CEO, probably shouldn't do this. should probably be as authentic as possible and strive for the human element and really push for that human experience because as we get into the age of AI generated content and there's just seas of AI generated content, you want to push for that human

[11:28] layer because that's really your moat. But for us, again, it works for our specific case and there's some cases that it will work. But yeah, you said, there's definitely some areas we don't want to use this. I mean, I think what's so smart, and I just took some notes on this, I think so smart about

[11:46] your approach is the video avatar piece is 2% of the video. You know, and you're just using B-roll. So I think even if you are a public company CEO, if you're me or you, by the way, people think it's funny because we're on video a lot, but people don't realize we actually don't video. we're actually , I'm afraid of the camera, you know? I've tried to do short form and I tried to deadpan into the camera and I'm not good at it. And I don't, I just honestly don't, I don't feel good after. That's the best way to describe it. I don't feel good after. I'm not good with the camera. So

[12:29] I think there's a lot of people us who know that there's so much value in short form, who know that if we actually just looked in the camera and spoke these stories that we know, we would actually crush it. And that if you climb Cringe Mountain, you could get to 151,000 followers and just pick up millions of views that can absolutely change the trajectory of your life. That being said, we don't want to do it. So I think that for anyone who's listening to this, this is an interesting approach, at least to try as an experiment for 30 days and then see how you feel about it yeah

[13:04] and another case on the pros side of things is faceless channels go viral all the time and they generate millions of dollars for people right or even you see these animated characters on youtube that it's this trend now as well and you can build a following in a community through animated content why can't you do it through an avatar and is this going to be more popular as time goes on. Right now, you've got to stitch things together. It will get a lot easier, and that means more

[13:38] people will do it. So we'll see what the world really thinks about it as things get more popular. But for now, it's definitely a huge arbitrage opportunity. And we grew the account to $150,000, and it's working for us. Well, thanks for sharing that sauce. What else you got? Yeah, the next one, I mean, this is a pretty simple one. I'm sure you do this all the time as a writer, but it's just voice-dictated writing, and you push it into a cloud workflow. So there's no magic secret other than this prompt. So, I mean, we can drop this in the description, but it's basically just a prompt to train on your writing style, right? So I grabbed all of my top-performing tweets on X ever,

[14:26] right? i have 10 to 20 of them i dropped this prompt into claude and you basically just push all of your best writing and it's going to be trained on your tweets and then i'm this is a pretty popular workflow but just i going on walks and talking on my phone i have my best ideas while i'm walking so i just walk and i just have whisper flow open and i just jam on different things and then I have a bunch of different notes and then when I come home I just push into this chat that's trained on my writing and then you just get really really good tweets so for this

[15:10] this example they're pretty optimized tweets you still have to go in and edit it a little bit you want to get this so once I get this I'm gonna push it into Twitter for example and I'm going to add a couple lines that are more give more insight right the insight part AI sucks at giving human insight and experience comparing certain things to other models for example and just tweaking up little things that just don't seem right Claude likes to exaggerate a lot I say words game changer but this is a really really good starting point where it takes you from walking to literally tweet is 90%

[15:52] ready. And what I do is every single Sunday, I just go on this really long walk, and I just jam on my phone, and I have a bunch of different voice notes, and I just push it into here, and I'll have all my tweets ready by the end of Sunday, and I'll queue them all up. And then, yeah, it's a really good workflow that works for me when you want to push out a lot of content. But yeah, do you use something similar? Well, I have a question on your walk piece. So do you just go on a walk and ideas hit you? Or do you have, , I know I'm speaking about myself. I have an Apple

[16:29] notes called ideas. And in my Apple notes, I have these kind of half-bake ideas that then I'll use whisper flow to actually dictate it in. But I'm just curious, do you start from nothing or do you start from something? I usually start from nothing. The ideas really come to me when I'm walking. I might have some broader things that I'm just thinking about. And I don't know, I think I work so much that I don't have thoughts until I start walking. My mind is almost numb because I'm working so much. So once I start walking and I'm not looking at slack, these ideas just come to

[17:09] me. And I just start jamming from there. and yeah it's a really good workflow for me to to just have tweets 90 ready when i come home and start queuing them up obviously i'll add an image or some kind of video because video content does really well on twitter but yeah this is a pretty simple one that i think would be useful to a lot of people who are trying to create linkedin content or twitter content on my last question on this workflow is you mentioned this is really good at getting you know, zero to 90%. But the last 10% is everything. So what are, you know, what are the prompts? You

[17:50] kind of mentioned a little bit of this, but what are the prompts that helped you get it from 90 to 100? Or is it just you? A lot of it is me, but you can go back and forth a little bit. On the next example I'm going to share, it's a very, it's basically the same thing, but I use it for my newsletter. I'll share how we go back and forth and use it as an editor. But yeah, a lot of it is you take the tweet, you add in your insights, you refine it, and then you ask again, you're , hey,

[18:20] how is this? What do you think? Make it better. And then it's going to give you some suggestions. And again, you don't use them all. But the one suggestion that it might suggest that you didn't think about could be the reason why that post goes viral, right? So it's just you have to develop this intuition of knowing when it's a good suggestion versus when it's not a good suggestion. It just comes with reps. But yeah, Claude is amazing as an editor. And do you ever have, is this Claude Max? That's actually a long story. So I actually can't get Claude Max because I'm,

[19:00] my account was upgraded by Anthropic and it was a whole thing. We're just trying to figure it out. but yeah this is just regular pro pro account so and and you never have the issue of i know we're getting to the nitty-gritty but i actually think people want to know the nitty-gritty you never get to the issue of the chat is too long therefore yeah yeah that's i mean this is a huge issue that everyone always has problems with i'll get to the so this is the next example i'm going to share it's basically this exact same prompt but we use it this is a different use case. We use it as an

[19:35] editor. And this is exactly what you're saying. So you can see how long this chat is. This is insane. And it's really when we write our newsletter, we write it all by hand, but we to use Claude as an editor-in-chief. And if you're going back and forth with it, you're asking for suggestions. You're saying, oh, how is this? What do you think? Can we make this better? It's going to give you some ways. And you say, oh, can we make this a little bit shorter. Can we make this two words shorter? Because that's a fit in our email format. Right. And Claude's extremely good at this. But to

[20:10] your point, when the chat gets too long, Claude's just going to say, hey, this chat's too long. You can't generate anymore. There's a pretty simple hack. You literally just go to another chat somewhere not too far off. You want to make sure there's enough contact still because the chat claw actually gets better as it goes but you want to go to here for example you see i have two edits and you literally just go in here and you can exit that out and you can start from there wow i didn't realize that yeah you can literally just start start again just a tiny bit up and it just

[20:54] keeps going so especially if you're using it as an editor so for example we go to my newsletter here

[21:05] and we grab a main main pair, obviously we already published this but if we were editing this still we would write this all by hand and we say literally this is literally the prompt, make it better it's super simple but you hit save and it's just going to start from here all that bottom part gets erased and you're gonna be able to continue the chat. So do you have to look for a one on two situation Is that what you have to look for Or could it be No no it can be anywhere I was showing that example because it kind of proof that I genuinely do this. now it says three, right? But

[21:43] if you go further up, you'll see some where it's 10 or 12. Because I just stay on this chat. I've trained it. It works well. You don't want to retrain every time. It's kind of annoying. But yeah, this is basically the workflow. it's going to give you some refined, a refined version. And you're not going to copy and paste this. That's the worst thing you can do. But you're going to read this and you're going to have, you know, your article open on the other page. You're going to compare it and you say, oh, that's a better way of actually explaining that bullet point. Let's grab that and, you know, refine this word. Right. And it's really it. It actually takes more time to

[22:20] edit with as a co-editor. but your content gets so good because it's trained on your best writing and you're just going to find these small details that you wouldn't have otherwise seen. even if you hire someone, it's it takes so much time for them to go through it all. And this you're really in control. So you have an editor in chief that you're in control of. And yeah, it's just been a game

[22:43] changer for us writing content newsletter, but also just writing content on LinkedIn, Twitter. It's a really good way of doing it. cool yeah so the next one this is a more fun one but we use lindy so i know you had flow on the pod he's great i love flow but this is just a meeting schedule agent so lindy actually provides a template for this but i've modified it a little bit because I wanted my workspace email. So I actually created an agent and I called it Ava. , so Lindy has this, they give this own template and they use their email domain, but I basically switched it up and

[23:32] I switched a lot of the AI prompts to basically, , use my workspace domain. So basically what this does is whenever I'm in a Gmail chat here, I can actually to show you an example. Whenever I'm in a Gmail chat, I can literally just CC in Ava. So Ava at the rundown.ai. And then Ava will come in and literally look at my Google calendar and find available times. And we set that parameter of where I actually want available time. Because you don't want your full 40-hour work week available for meetings. You want to have some deep work blocks. So we scheduled exact times of where I actually want to take calls and we'll actually look through your calendar and request those exact

[24:18] times and say, Hey, did you any of these windows work for you? , the other person can respond, say that time works, and then it will go ahead and book and it'll actually book in your calendar. , and then this whole section here is basically rescheduling. So let's say this person came back in the thread and say, oh, actually, this time didn't work. Let's reschedule for, I don't know, the last time here. Then Ava will literally go in and cancel the event and then reschedule another meeting. And it's just a really nice way to, I don't know, not send a Calendly link. So yeah, it's a cool little use case. and you can actually take it a step further. I don't have it in this

[25:06] workflow. I have it in another one. But you can take it a step further and actually enable this across your whole team. So your entire team can loop in that one email. So Ava at the rundown.ai and Ava will be attached to their calendar and you can just literally, Ava is the meeting scheduler. It's the go-to meeting scheduler and you don't need Calendly. And I know there's this weird

[25:26] stigma around Calendly. I don't know how many people who watch your podcast know about this. I don't know why. I don't agree with it. But if you send a Cali link, it's kind of known. I don't know. It's kind of disrespectful almost. So having an agent that books the meetings for you is just a better way to work around that. And it's useful for your whole team. So, yeah, it's a cool little agent we built. Go back to your email. So let me let me explain why I think that this is such a game changer. So a lot of people listening to this sell a service or a product, but a lot of

[26:06] people listening to sell services. When you're in the services game, time is of the essence. So if, you know, who is this person? Nicole. So if Nicole is a lead, basically, you want to get this time booked as quick as possible. When I'm looking at exactly, you know where I'm going with this. When I'm looking at the timestamps, basically you're responding instantaneously with the Lindy AI agent. It's a minute. It's a minute. Yeah. One minute. And even if you scroll down, I even think, yeah, 642. Nicole goes, hi, Ava, Tuesday at 730, works for me. 642 responds, right? Ava responds, sounds great, I just sent the invite. So that, the gap, if you would have, 6.42 p.m., your EA, your

[27:00] human EA might be off, you know? Yeah, it works for you 24-7. It works for you 24-7. So I think that piece of it is so valuable. It definitely is. I mean, and for you too, right? even for , you know, you guys sell sponsorships, for example, and maybe Microsoft, you know, CMO of Microsoft comes in. Right. And you want that meeting, you know, also might be someone interesting. So you want to make sure that, you know, these busy people, that time gets booked. Yeah. Yeah. You can actually use this for partnerships. So we tried this for some time. We turned it off recently, but we tried this for some time where we have this workflow where we have a form. We obviously have

[27:49] big distribution. So a lot of our leads come internally inbound. So a lot of these people come inbound, they answer a form, we get all these questions and we use those questions. We push into Lindy and it basically validates them. And then based on that, if they're validated, Lindy goes ahead and sends a sponsorship email right away. and then they can literally go back and forth. And if they want to book a call, then they will call with my human salespeople. It worked for a while, but yeah, we're getting the use cases where you, when you do get to Microsoft and Google, I'm just a little, a little weary of using agents right now because there are occasional times where

[28:32] it could go wrong. and just that 1%, knowing that it could go wrong 1% just worries me for those really high-tier clients. But when you have so much inbound, it's extremely useful. But for this meeting schedule use case, it's perfect. So we can drop this template as well. I'm happy to share it in the YouTube comments or something. Yeah, let's do it. But yeah, anyone can just steal it. Literally, all you have to do is connect your own email. Yep. so you probably don't want to use Ava at the rundown.ai, so you're going to want to change that. And then here's where you basically add all the emails of your team. So this is the one with only mine right

[29:14] now, but you change your email, and then you want to connect your Google Calendar. And then in here, the only thing you really need to change for these two send replies is, at the end, it says Best Ava. So if you change the name of it, you don't have to call it Ava, obviously, But you can change the name of it. And yeah, you can call it whatever you want. And also here, sorry, one more. You want to make sure you change when your meeting hours are, right? You don't want to have the whole day. Otherwise, you know, people are going to schedule random times. For me,

[29:49] I only have three-hour blocks, four days a week. So that's my meeting times. So yeah, that's really it what you want to change. But yeah, we're happy to drop that in the chat. Appreciate that. All right. So the next one, this one's a kind of research use case, and it's with Perplexity Comet. So did you get access to Perplexity Comet? I did. I did. Yeah, so it's pretty cool. My stickiest use

[30:19] case is using it as an AI tutor for, , every video. For example, this video itself, right? If I don't want to sit through the whole thing, and I just want to see Rowan's seven use cases, tell me exactly how to do it. Perplexity can get you that in two seconds. So it's incredible

[30:39] use case for just summarizing these long videos. And it's really sticky. I really this use case. But it's also useful for just going deeper on topics you don't understand. Right. So, for example, I use ChatGPT a lot or ChatGP voice when I'm reading. So I'll just have it open next to me. And whenever there's a topic I don't really understand, I'll just ask it, oh, hey, what does this mean? And I'll go deeper with it before I move on to the next page. And it really helps retention. But perplexity comment is basically that for every YouTube video or podcast that's on YouTube. so you have this widget that's on the side of your tab, , your comment tab. And you just

[31:25] go into these mini rabbit hole sessions. You can understand things way deeper than if you were just watching the video. , so every video in essence becomes an AI tutor. , so yeah, I think it's pretty, pretty incredible. , I learned so much better this. I never did well with school. , so YouTube videos are always my jam and this is a huge game. changer for me. I've been trying, I honestly haven't, I've been playing with assistant all day, every day, perplexity assistant, but I've never tried it with YouTube videos. So I'm definitely going to try it. I'm you also, I learned from YouTube, , and not surprisingly. And, , I also, I've got my Mount Rushmore of

[32:13] people I really look up to and you know Darmesh is awesome in this example right I would love to learn about AI from Darmesh right And I could do that with Assistant. Or even, , imagine someone listening to this, right? , with the Lindy AI example, it's , okay, this is, you know, I have a question about, you know, what Rowan said about Lindy templates. and then you can just

[32:42] post it there and just have a full on conversation with basically AI Rowan using perplexity comment. Exactly. And the cool thing is the comment assistant is grounded at the entire context of the video. Yep. So you can really ask it anything about the entire video and it's going to be smarter than a regular perplexity would because it actually has that context. So exactly you said, me and you might not have time to respond to every single comment of this YouTube video. but you can

[33:13] ask Comet and Comet will probably have the answer and might actually answer better than we could. So yeah, it's, it's incredibly useful. I've been using it as a tool. , so hopefully it's useful to other people as well. I mean, doesn't DIA have their version of, of an assistant as well? DIA, the browser? Yeah, they have. , I have not used it as much as I should have. , to be honest, Comet came out right after and I'm , okay, let's get on this. I heard Dia also does this, but I don't know. I perplexity and it's just really sticky. I don't really want to switch at this

[33:49] point. It works. Right. Yeah. Let us know in the comment section if people have used Dia and that works or if you prefer comment. Yeah. I'd love to know as well. Yeah. I'm just curious. Was there one more you wanted to share or is that it? Yeah, I got two more. Two quick ones. This one is a GPT for new hire onboarding. So problem operating new hires is extremely tedious when you're scaling your business. Everything's growing really fast, but you need new people to take over parts of your business so you can scale higher. But teaching them the ins and outs of your company, teaching them the processes, teaches them how you use AI, teaching them the tools that you use. There's so

[34:38] many questions and it just slows everything down, right? So we built this GPT that's trained on SOPs, literally Loom transcripts, meeting notes, our policies on AI usage, HR docs, any admin related question. And it also knows everyone on the team and their role. So basically, the model then becomes don't ask questions you haven't asked GPT first. Because the GPT literally knows more about the company than I know. I don't remember all of these policies even. So you can literally ask it anything about our company. You can ask it if we can take a vacation today, and it'll answer it. And then if it doesn't know, it will point you to the right person on the team

[35:27] to ask. So then you go and ask your manager. But yeah, it's a little little hack we use to basically scale faster easier save time for the managers and yeah it's pretty useful we can go into the back end here so for anyone watching this if you just want to grab this prompt it's a pretty simple prompt but really it's just you're making gpt into a custom onboarding assistant. And then you just want to drop as much knowledge as, , as you can. And you can always update this, which is the cool thing. So as you get more team members, as you, you know, create more HR policies,

[36:12] that sort of stuff, you just drop it in and the GPT just gets updated and it's really useful. I need to do this. I need to do this. it's useful. It's also one of those things where some people are afraid to ask these questions, so they don't. Yeah. So I think that for a lot of employees, this will just be so helpful for them that they can just any time of day, night, they don't have to, you know, look, you know, when you're asking a question, especially if you're first starting out, You want to make a good impression. So I can totally understand where people are coming from

[37:00] there. Yeah, and really, this thing answers questions immediately. You don't have to wait for your manager to respond. And someone me, I have so many other things I'm trying to remember that I don't remember all of our policies. So if someone asked me a question, I'm going to have to go in and look in our drive and look through the points and be , oh, no, sorry. You can't take this day off, but you can take next week off. but this assistant can answer that immediately. So it's a pretty useful thing as you're scaling your business. And then the last use case I want to share, this is a little bit more a niche use case, but it'll actually probably be useful for you as

[37:41] well. But for anyone that has a ton of replies to their business email inbox, so for example, we have two main inboxes that we use this for, our support inbox, and then our newsletter email inboxes. So obviously, we get a ton of people who just reply to our newsletters, and we get a ton of out-of-office email responses, a ton of spam, but there will be really good feedback in between some of that junk, and that's gold, right? So we need that, and we need to respond to that feedback,

[38:17] because those are our winning readers or winning customers, right? So this agent does three things. One, it filters out the real genuine customer support in the inbox. So it fills out all the spam. And then two, it pings the right people on my team in Slack if there's anything important. So for example, if there's something sponsor related, it will go ping our sponsor team. If it's something education related, it will go ping our education team. If it's something deliverability or I don't know, someone tried to have a subscribe, but they couldn't, then it will ping me. So it's automatically pinging people on the team. And then the last thing it does, it

[39:00] actually auto draft replies in the email inbox. So when we go in to respond to some of these people, the responses are nearly there. It's the same thing with the voice dictation workflow where it will be 90% there. We still have to sometimes add context, but it's quite good at saving a lot of time. And this is the only way we found that we don't miss any of those really important emails in between all the spam and the out of office emails. Yeah, it's, I have this issue. I actually have on my YouTube, I have my email and I'll be honest, I don't even really look at it. So I'm getting tons

[39:42] of emails. For a long time, we didn't look at it either because it's you're getting hundreds, if not thousands a day. It's impossible, right? But there is that really good feedback in the middle. This just handles all of it. It just runs one time per day as well. So it's not going to be using up all your Zapier credits. It just runs once per day. And then it's just going to ping you in Slack if there's anything important. So you know if there's anything important And we've actually landed two sponsors through this. , it's really weird that they don't go through our actual

[40:15] sponsor form, but these are legit sponsors from, , big companies that went through our support inbox. Right? There's really important messages that come in there. So I'm happy to share this one as well. It's pretty simple to set up. It's using Zapier Agents. So it's their agent feature. and we use actually their co-pilot. So we just literally just drop this prompt in their co-pilot and it actually builds this app out for you. you actually don't have to do anything if you use this prompt. So we can share this prompt in the chat if anyone wants to use it. You just got to drop this in the co-pilot. It'll automatically generate all the connections and then you just have to

[40:58] connect it to your Slack or email and all that stuff. But it's ready. It will be set up in two minutes if you have this prompt. Beautiful. This is helpful. Yes, all of this stuff from today will be in the show notes for people to access. And I appreciate you sharing that, man. A lot of people actually come on here and they're , no, I'm not sharing that. But Rowan, you're the type of guy, you know, you're a sauce factory. So that's why I have you on here. And thank you for being so generous with your time and everything. Of course, man. And again, there's so many other ways we use

[41:42] AI. I try to stick to the content creation and unique business operation ones. But yeah, we use it across coding. We have marketing workflows. We have stuff we do for education as well. so yeah happy to come on and jam anytime and jam with some other stuff but hopefully this is a good starting point yeah if you want Rowan to come back on we got a scream to come back on so let us know in the comment section I'm going to include places where you can follow Rowan AI Rowan non AI Rowan in the show notes X email newsletter Instagram I'll include that is there anything else Rowan,

[42:24] you want to share before we head out? No, that sounds good. I'm mostly active on X. And yeah, if you don't subscribe to the rundown and you want to keep up with everything in AI, it's the easiest place. So we'll put that in the notes as well. But yeah, it's been great coming on and I'm a huge fan of the show. So yeah, it's been awesome. I want you to come back again, man. I want you to come back again. I want the comment section to be roaring so that you'll you'll know that it's not just me, right? It's the people. The people want you on. So I have a feeling

[42:59] that they're going to this episode, and I'll see you next time. Cool. Yeah, appreciate it. Later.

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