His AI Made 20 Reels Before Breakfast

0:00This channel is all about finding you the coolest AI tech tools, models, and perhaps my favorite thing, which is workflows. This video is the second in a new series that I like to call show me your workflow, where I bring guest and friends onto the channel and then I mercilessly squeeze every last drop of value that I can from them. And by squeeze, I mean I get on a Zoom call and politely ask them questions about the cool stuff they built. And today I'm talking with Nate Herk, one of my all-time favorite builders of cool stuff. He's going to walk you through three of his favorite AI builds that he

0:36uses every single day. His automated AI editing workflow, his AI expert panel called the roast room, and his AI social media manager. And the best thing is by the end of this video, you'll be able to do all of this stuff on your own, too. So Nate Herk, show me your workflow. [music]

1:00Let's optimize that workflow. So, it sounds like the first one we're going to get into is like the AI editing workflow, which is this is something I've been hearing a lot about from a lot of people. And I'm really really excited to hear your take on this because I've tried to do some just like let the AI edit for me. And I don't know, I always find that like I'm spending more time when I let it do it for me cuz I'm going

1:25back and sort of fixing a lot of stuff. So I I'm really really excited to hear your your editing workflow here. Yeah, this has been something that I've been very very surprised by in a good way because I think when all this started, I agree with what you just said. It was just like it was frustrating because it would take more time because the rendering would take a while and then you would make a a change and then it would have to rerender everything. But once I really started to change the way I thought about how I was doing these editing workflows, as well as of course saving all of the knowledge

1:58and the feedback and building skills around it, then this has truly made me so much more productive. Like it's it's it's pretty nuts. It's like just this morning for example, I had worked this in combination with some other skills that I'll talk about in a bit, but was able to just bang out like 20 reels. It did all the ideation, all the scripting, and then I just threw it on my teleprompter, read off. The cool thing is like it grabs all the B-roll and it makes all the AI generated videos that go into it. So, it's it's really a cool pipeline, but I wanted to start off here

2:24before maybe we look at like some some examples and stuff about how it was built. And this is kind of a wordy doc, but I just wanted to talk about the the way I think about not only this workflow, but in general the way that I build skills and workflows that I think is really a game changer. So, it's kind of timely with the whole, you know, reverse engineer anything repo that

2:42dropped and just went insanely viral. Oh, yeah. The whole idea is that I've been trying to build skills around editing short form content for a while and it just was never really there. It just always felt a little cheap. And AI on its own, it's not very great at thinking outside the box. I mean, if you really think back to how it was act like what it does under the hood, like it just predicts the next word, right? Like at the most fundamental, highest level, which means that it's going off of like what most people would assume or like what makes sense. So, what I started to do was, you

3:11know, I had all of these reels that were proven. Now, I can take this raw input where I'm speaking, right? Like I'm just able to record even if I have mistakes in there, I'm just speaking. And then what I have right here side by side is the manual versus the skill now. So this is like a human editor had built this and you can see this the styling is very consistent. The font, the way the motion graphs come in, the shimmers, the sound effects and the music are are pretty similar too. And that is one of the areas where AI I think still has a lot

3:37of work to [snorts] do. Music and sound design. I think music and sound design is super super underrated in the experience of for a viewer. And right now like a human is just going to do that a lot better. But it is getting there. And I'm starting to get to this point now where my Herkit kit is what I call it. It's saved a bunch of the sound effects I really like and sounds that I like music trending audios and I'm just constantly feeding in like when I would want it to use this one. You know what I mean? So, it's definitely getting better. But the point I was trying to

4:05make here is you can kind of see there's like three main scenes, right? There's me on the bottom with B-roll up top. There is B-roll full screen and then there's me full screen. And basically the way I was able to get to somewhere where I really liked this is I had it go do what was proven. And so before I I continue scrolling down here, I think that's just a really really important mindset to have when you're working with AI is when you're trying to have it help you with something, the best inspiration is is proven work. So like if you think about when you're deploying AI in

4:31production, what do you do is you run evals and your evals test against the golden data set. So essentially like why would you not start with that kind of golden data set in mind when you're building cuz then you know what you're building towards. So whether it be an editing flow or whether it be even just like a business decision, if you go look at an example of someone who's done exactly what you want to do successfully and has proven it, then break down how it works, how they got there. And I think that just if you zoom out and think about life in that way, like it's

4:59changed the way that I I make decisions. But um so real quick back up on the one that you were uh you were showing there, you've got the two videos side by side, and it looked like it was finding pretty much the same B-roll, right? Like it's the same video of Cararpathy there. So the human one found the same B-roll as the skill or did you tell the skill

5:18which B-roll to use? Well, in this case, what happened is, you know, the human one was already made. It was already posted. It got a lot of views. So, I'm assuming that the skill here just took this clip because it knew this was like a good one, but it's more like going through and saving the principles, you know, the theories of what makes this, you know, successful, quote unquote. So, I see. Okay. Gotcha. In this example, it analyzed 27 of our reels that had done really well. All of these were human edited and it pretty much just watched them through like frame by frame. Here, it's just kind of breaking down the way

5:48that it's able to look every couple seconds and understand like how often things change and and how the the viewer feels when you switch between this sort of B-roll. You've got like the shimmering effects and it really it even got this granular. It started to break down when my voice and the music and sound effects and the difference in the audio levels and it really really just broke it down as granularly as it could and it built me a bank of patterns and then we took those patterns turned it into a skill and kept building on that and replicating it. So that is, you know, one example, right? So now I can

6:20drop in these raw videos and I'm able to get outputs that look like they were edited by my human team, right? They've got the same same fonts, same vibe, same pacing, my style pretty much. And and obviously it saved all this kind of stuff. Now, this is using you're using cloud code to do this, correct? Yeah. Cloud code. It's using hyperframes as well on the back end. And then it will use the browser. So, it will go grab any B-roll it needs to screen record, click on things, screenshots, and then of course it will generate any AI videos it needs to with like, you know, key.AI or Hicksfield or

6:53something like that. Yeah. Yeah. And I'm I'm starting to hear more and more as well that you don't even need like Da Vinci Resolve or Premiere Pro or anything like that. It's just does this just kind of do it all autonomously without pulling it into an editor like that? Totally. Yeah. I've also been starting to work in Blender into some of this stuff too. So now it's it's able to create some really cool 3D scenes for me as well with just essentially the similar idea. I've never opened Blender once. I don't even know what the UI looks like, but I just know, oh, it it creates 3D scenes and then I just

7:20connect cloud code to it and then it just does it all. It's It's really really absurd. I I've never learned Blender in my life and I'm I'm pretty much the same. I've made more stuff in Blender in the last 3 months than I ever have in my entire life. That's so funny. Yeah. It's It's really interesting though because, you know, at least me, it's made me a lot more productive, but it's also made me a lot lazier. You know, like [laughter] I no longer want to go do these manual things that I used to just be able to do just fine in a couple minutes, but now it's

7:46like a I don't want to do that. And I don't know if that's a good thing or a bad thing. I think you could argue for both sides, but yeah. I mean I I guess you know the argument is maybe your your sort of mental capacity has moved up the value chain a little bit right like you are actually now more of the orchestrator thinking through the bigger picture the

8:02bigger problems. Yeah I agree with that. Then I started to do another one here for YouTube videos. Pretty much from when I started doing YouTube up until now every one of my tutorials I've just edited myself but I figured that it would be worth a shot, right? And for a while, one of the things I didn't like about when I would have AI edit my videos was, you know, sometimes it would leave in two takes of something or just not catch some of the things that I catch. Like sometimes when I'm recording or editing a video, I'll be like, "hm, I didn't really explain that sentence very well. Let me actually

8:32just re-record this real quick." I'll have the technical understanding of what's going on in order to make sure that the the video makes sense. But now I've been able to work in some of that into the skill because now I make sure that it's not only transcribing things and you know cutting it up. But it's also thinking about the viewers perspective and and where there might be gaps and it's surfacing some of that stuff to me which is pretty cool. But the main thing I wanted to focus on here was pretty much the exact same framework, right? Like I took multiple videos that I edited myself and now I

8:58can give Cloud Code my facecam recording as well as the screen recording and it will place it in this this scene for me. And I pretty much have two scenes when I make a YouTube long form. It's this scene where you can see like my face cam screen and then kind of this background or just like my full screen face cam. So it also understands, okay, when has the screen not moved for a little bit. You know, Nate's mouse has been still and maybe Nate's going on a rant or he's talking about something and that indicates for me to go to the full screen rather than just keeping, you

9:27know, this this view there. And then of course, what's really nice is it will do certain zoomins that I wouldn't have done myself. And even something as little as this, right? Like just a little zoom in that I wouldn't want to do myself, it has the visual understanding to know that a viewer is probably going to enjoy this better because now they can read the text a little bit more. Yeah. So it's not just going through and very simply cutting out mistakes or cutting out the dead space, but it's also really thinking

9:51about the experience of the viewer, too. And I think that's that's one of the tougher things to work into these skills, but it's an investment. Every time you give it feedback, it gets better. And then also I'm able to work in essentially sort of like LLM as a judge so that I can build up a better judge over time so that the skill does

10:06keep improving. So Claude code obviously it's not capable really of watching videos, right? So how is it when you feed it a whole bunch of your old videos? How is it figuring out what you're doing in those old videos? Is it just like like taking screenshots at certain intervals and and looking at those to figure it out? cuz I think as far as I know like Gemini is really one of the only ones that can actually watch videos right

10:32now. Yeah, that's that's exactly what I think as well. I did see there's like this repo that maybe lets Cloud Code do it, but I mean ultimately the way I think about it is yeah, just like let it screenshot basically every frame. For YouTube videos, I didn't really make it do that. For these these short form ones, I certainly did. I think the first time that I really started to do this whole screenshot loop was when I was doing a lot of web design with Cloud Code. you know, I would give it a reference example or I would, you know, there was lots of things that were out

10:56of bounds and I would just bake in you have to screenshot every single element. Like you scroll down, you screenshot everything and then you look at it and make sure that things are in bounds and I and then from there I basically just baked in screenshotting into like everything that I do whenever it's anything that you know takes a little bit of visual skill from the agent. So

11:13yeah. Gotcha. And then I'm imagining it's also using some sort of transcription API or MCP or something in the background that transcribes it so it knows where to put each animation and that sort of thing. Yes, 100%. Let me actually pull this up real quick. So, what I just pulled up right here is I just asked it the other day to make me a video about how it edits some of my videos because at the end of the day, you know, like I'm just telling it all the stuff I want and sometimes it's like I don't know exactly how you did that, but I like it and it

11:42broke down. You know, I've got tons of different editing skills. I've got raw reels, which is more of like this style where I've got my, you know, I just whip out my Osmo and I just record my screen, right? Or I flip it around and record me talking. I do like motion show reels. I've got the YouTube shorts, the Instagram reels, curriculum videos. So, anyways, it's just really, really cool what we're able to push out with all these skills. But you were asking about, you know, the

12:05transcription and everything like that. And this is one of the big pieces of it that I had to work in. So, obviously, it would listen, right? So, it would transcribe the audio. I use 11 Labs API to do it just because it's really quick. Um, it's super cheap, too. I mean, you could also do something free like the whisper and it's local, but it just it's slower. So, I use the 11 Labs API and it gets the words and what it does is it will tell you, you know, like this word played from or you spoke this word from 09 to.17 and that way you can actually

12:32sync the motion graphics to come in exactly when the words come in. So, that's very important. But then it would still sometimes clip words off like halfway through the end of like I would say videos and then it would just come out as like video like it would just cut me off. So rather than also just listening and syncing to the words, it would also look at the I don't know what you call this like a waveform. What is this? Whatever this is called

12:52waveform. Yeah. And it would make sure to do it when the words actually over by looking at when this hits like flat. So it used to just kind of cut here, but now I made sure the skill cuts here instead. It understands pointing, right? like it understands that if I point here to make the claw logo go there and if I I pointed there earlier in this video and the Grockbot logo goes there. So it's just really really intelligent with that

13:14sort of stuff. This is awesome. So um what one final question on this one and then we could sort of move on to the next workflow. But if somebody wanted to to sort of follow this, is there any place where they can find maybe your skills that you've already created or how would somebody go and replicate what we're talking about here themselves? So, I've made a few videos on my YouTube channel about all of this stuff, but I've also got a GitHub repo which is public and it

13:40has pretty much all these skills inside. So, you could you could clone that in and then just, you know, ask about which skills would fit your workflow and you should be able to, you know, be in a pretty nice spot with it. All right. So, I know not everyone has a need for editing videos. Although, with it being that easy these days, I don't know why most people wouldn't start adding videos to the mix. However, this next thing we're going to talk about is something that I think everyone can use because sometimes maybe you have an idea that you don't know if you should pursue or

14:10not. Well, this next workflow that Nate's going to show me is called the roast room and it puts a panel of the smartest people in the world in front of you to debate about your idea. All right, check this out. So, this one is called the roast room. And then I, you know, I was building off these different councils and things like that, but this is just a visual interface on top of what actually happens inside of cloud code. So really the idea here is that we have a council of different agents and you're able to ask for advice on some sort of, you know, whether it be personal or a

14:43business decision. Most of these people are going to be, you know, giving you like more more business focused advice. You pretty much just shoot in a prompt. They will all take an opening position. They will then start to argue with each other and we can see all that happening and then they'll vote and they'll give you basically a final option with a rundown. And then of course you can look through the actual debate itself and you can dig in a little deeper and maybe even do another round. It really helps you look at it from different lenses and especially if you start to mix and match

15:09cuz I've also got some people in this roast room that aren't currently on this council and I'm adding more people to it. And then you can see there's a skill in here called I think it's called new roster. And so if you want to add your own roaster or council member, you just run this skill and then say who you want and it will create them inside of this as well. So so it's going to go and like research them and figure out sort of what they're known for, what the their sort of philosophies on things are, stuff like

15:34that, and and pull it in as context. Absolutely. Yeah. And maybe before we run a demo, I can show you like what actually is inside this because I think it's kind of cool to see like like Alexi like what even is that? what what is he in this context? So, let me pull that up. We can quickly walk through that and then we'll

15:50run an example of the roast room. Okay, so this is again just a GitHub repo that anyone can grab. But you can see that we've also got down here we've got Naval, Cody Sanchez, Laya Hermosi, Sarah Blakeley, and I'm probably just going to keep adding more people. I'm surprised I don't have Elon Musk on here. Should probably have him. Should probably have like um Elon Musk is just in there to troll everybody. [laughter] You can see in here if I go to the dot

16:11cloud, we have these different agents. So, if I open up the agents, this is basically what they are. They're sub agents and they get triggered. Now, one of the questions I get about this is why not an agent team? And I actually used to run this as an agent team. This the rose skill used to be an agent team, but I ended up basically finding that it was costing me more for minimal gain in the actual value it's providing. So, I switch it back to sub aents. But you certainly could set this up as agent

16:36teams if you want. But anyways, let's just real quick open up Hermosi for example. This is his markdown file which is just a very simple sub aent right. We can see that you hold offers, pricing and sales. So each of the council members basically have one question that they have to weigh against which in this case for Alex is will people pay, how much and how do we close? So very very heroic coded but anyways you can see that we have a brain which I'll look at in a sec. We have his lens so the way he thinks what he looks at, how he talks, how he debates and things that he never

17:09does essentially. So each of these council members is just their own agent MD file, a sub agent file. And they're all running the same model. They are. Yes, they all run the same model. And you could customize that if you want, but it just runs the default. So if I go to the skills and we open up the roast room, you can see that there's brains, references, and scripts. Really, the brains is the main one that we want to pay attention to here. So each of the agents has their own brain. So here you can see for uh who is this open? Gary Vee. His brain lives right here inside

17:41of the skills inside of his Gary um brain. So I'll open up his for example. Each of these people's brains has these different markdown files. We have hot, which is basically his hot seat. So the question he owns, his worldview in three sentences, and then they all basically have eight rules they decide by. So this is all pulled from real sources. So for Hermosi, for example, is one of the only ones I really remember off the top of my head. We looked through like 123 different videos and book frameworks, articles, expost, LinkedIn posts, and it was over like 1.5 million words that came straight from Hermosi. And then we

18:15build all these themes and there's also like specific quotes. So we have this hot, we have books. So this will go through the books and different frameworks and thesis from each one. We have frameworks, we have positions. So yeah, I think you you understand the point here. It just does a bunch of research and then it organizes it in this nice way where we can look at these main concepts and even like stories. So it'll pull in specific stories that they

18:37use. And there's a lot of data here. This is all the context. So when you ask a question to the uh the panel that that you're asking to roast you when they each individually respond, this is their sort of worldview, right? This is the context they have of with how they're going to respond to the the questions. Exactly. Yep. They pretty much will look through all these and apply this on top of the question that you asked. So,

19:01yeah, 100%. Gotcha. Very cool. Yeah. And then we've got the obviously the new roster skill right here, which basically just helps you turn any person that you want to into one of these council members. So, it'll create even like the little like the cartoon image of them. So, yeah, that's a little a little peak

19:17under the hood of what this actually is. So, I think that helps kind of, you know, before we we jump into an example. Now, with the the actual visuals of this, did Claude Code code up all the visuals? Like, are those graphics? Obviously, Claude Code doesn't have an image generator, but how was that that

19:33created? Yeah, so it I'm pretty sure it used GBT image 2. It shot a request off, but obviously it used like their references. It um originally some of these people did not look like how they really look at all, but now they all have the same sort of like cartoon look. And you can see Hermosy's got like the classic acquisition cap and yeah, so that's all baked into the skill. And now you can add different council members. And it should also ask us based on the question. It should recommend like, hey, maybe these five would be best or maybe, you know, these eight. So Matt, I guess I I'd love to

20:03put you on the spot here. What do you want to ask the roster? Is being a a YouTuber a good business model? [laughter] Yeah, I mean, we certainly can throw that out there. We have to just do one thing, though. We have to give options. So they will actually vote on different options that we present. So, just like if you have one idea, if you've got two different options you're thinking about or maybe five options you're thinking about, just kind of throwing out at least some context of what you're

20:25thinking. One thing that that's um been an interesting discussion internally with me and my team lately has been are newsletters going to continue to be worth it in the future. So, I'm trying to think of like what sort of options to give? But that is that has been a a constant narrative that's been going on internally because we've got a very large newsletter. we've got 260,000

20:47subscribers for like, you know, AI news. I am a little concerned that over time AI agents are just going to be the ones reading newsletters. There's not going to actually be human eyeballs on there. Uh, so that's something I've been thinking about a lot lately. I'm just trying to think of what the the sort of options to give would be. We could shoot off this context, right? So Matt has an AI newsletter. It's got 260,000 subscribers. He is concerned about

21:12agents reading these instead of humans. How how is your newsletter like being monetized? I guess that piece of context might be helpful as well. So, right now it's monetized through purely sponsorships. Okay. Well, they might be able to also create options for us and then vote on them. So, I'm just going to say like here's some context about a situation that Matt is thinking about with his team. Could you just like turn this into a roast room prompt for us and then kick

21:35it off? So, maybe it'll just throw together some stuff for us. We'll see if it wants to change up the council members, but yeah, it's going to write that prompt, run the council, and then we'll get to see it in real time. It looks like they actually shot this off. And you can see that they gave us five options here. Keep doing what works now. Rebuild for humans, resell sponsorships on outcomes, design for agents, sell agent reach, and shift effort to other channels. So, what's happening now is they're all going to go through and make their opening positions. Oh, you can also see here it decided to take out Dan Martell and

22:04Gino, and it added in a naval. Oh, interesting. And it surprises me a little bit. [laughter] Yeah. I guess his main question here is who does this and what does it cost the founders's calendar? That's the one that he looks to protect. Naval is does this build leverage and equity you own or does it just rent out your time?

22:20Yeah. Okay. Yeah, that makes sense then. So, this one, like I said, round one, they'll take their positions and then round two is when we actually see them like pick out who they want to like debate with or poke holes in their plan or whatever it may be. Now, is there actually audio on this when they speak it out or is it all just [laughter]

22:36text? There's not. There's not. Someone said that I should add that and try to get their voices like a 11 Labs or something and have them speak. That'd be pretty funny. But no, there is not audio. It's just a weird little bobblehead looking mouth movement. [laughter] So, but now you can see that they made their initial initial picks, right? So, we can see that Rebuild for Humans is one of the main is the winner. I don't exactly know what that means, but I guess we'll find out. But now they're going to go through and we'll see them kind of decide who

23:03they want to chat with. And so will they bring in different people or is it it stays the same panel at this point? At this point, it'll stay these same six council members. Got we'll just see them sort of make connections. But of course, if this local host wasn't open, this would just be running right here. You know, like obviously it'd be doing the exact same thing. It would create the same deliverables, same sort of vibe, but um this is just way more fun. So yeah. Yeah. So everything's happening basically in in the sort of AI chat. The visual is just to to to make it a little

23:34bit more interesting and entertaining to watch. 100%. Yep. There we go. So now we can see that Gary Vee was going after Hermoszi a little bit. And when they do stuff like this, if I scroll down here, we can actually watch like their opening positions. We can watch the key points. We can see the debate. So Gary Vee versus Hermoszi. He said that he disagrees with Hermosi saying the readers are fine and the broken part is a sponsor offer price on opens. Um I can

23:58see it here. Here are some other things. Here's my scoring. And so we can go ahead and read all of the actual like debates and discussions that are going on. But now I just wanted to scroll back up so we can see, you know, like Paul Graham also disagreed with Herozi. And it looks like Bezos disagreed with uh Warren. So once they feel good about this debate, they'll kind of like reset once again. And then we'll see them actually do the vote. And then maybe these scores will have changed a little bit. Maybe they won't have changed that much. But that's what you can see next

24:24to their names. Yeah. So you can actually see that everyone voted B except for Warren and Alex. They both voted C. So are the are multiple debates happening at the same time? Cuz you're seeing all those lines between different people. So those like they're happening happening simultaneously. They pretty much are just happening one after one at a time because then the council can look at what these other two

24:44people discussed. Okay. Gotcha. So now we're going through round three. We're going to see them actually like vote, vote, vote, vote, vote. And then we'll have um a little PDF that we can look at which is a very very high level snapshot. But then of course if we wanted to dig deeper, ask more questions, run it again even um we have everything saved obviously in the

25:03logs. So what does the amend mean over their faces? right now it's basically just when they come through and they have voted there's basically like one proposal and then they're either going to agree with that or they're going to push back. So it looks like they they're all starting to come to a place of agreement and now they're writing the verdict here. But yeah, if we wanted to really get in here and look at every single round of debate or discussion, then it can get pretty

25:29granular in here. Nice. And how brutal are they to each other? Looks like it's pretty cordial. Yeah, that's why we got to get Elon in the mix, right? [laughter] There we go. So, we have go with B and run C beside it, which is interesting. So, a summary passes along facts, not Matt's judgment. B is the only option

25:47that tests whether readers want Matt. Pricing on opens prices on the number against agents eat about 78K a year is at risk on assumed numbers and click terms protected at no cash cost. So, we can actually open up this PDF real quick and that will just like I said, it will give you the the super however overview. So, this is what that looks like. It's pretty much the exact same thing. It'll

26:09show you the scoring, the final call. It'll show you how they got here and like a finished round scoring of all of these different options with their weights and things to watch out for. And then it kind of gives you like an action plan. So, yeah, just a super simple breakdown of what was actually discussed on the council. And then, you know, the probably the easiest way to set something like this up would be to go into like your Cloud Code, point it at the GitHub repo that, you know, Nate made available for everybody, and just say, "Install this for me." Right. Like that's almost the easiest way to do any

26:42of this kind of stuff these days. Yep. Literally just drop in the URL, set this up, and then you're you should be good to go. Yeah. Awesome. We're not even done yet. Nate is a master at finding killer ways to use AI, so I wanted to squeeze just one more idea out of him. So, this time we're going to tackle social media. In fact, we're going to put Instagram on complete autopilot. This next workflow shows you exactly how Nate is putting out high-quality content on Instagram using AI and is practically hands-off technique. Check this out. So, what we're looking at here is a very humble Instagram account. I'd say this has been

27:16going for about a month at this point. 99% automated, maybe 98. The goal is to get this 100% automated and then, you know, be able to monetize through sponsorships and things like that. But really, just to have a nice automated Instagram account that's dropping news. So, before I get into the workflow, we'll just give a quick overview of what actually happens here because there are some things in here that are pretty cool. So, some of these obviously are just, you know, grabbing a cool video that may be trending on X and just kind of throwing it in here, right? We're crediting the original person and then

27:45we're just kind of ending with like a, hey, AI moves fast, so go ahead and follow, right? like nothing too complicated. Obviously, we had to build a skill around this so that we have a few different scenes and that everything is very branded. But what else is cool is if we look at a different one like this one for example, the opening

28:00carousel was an AI generated image. We've got an image of Daario crying with a bunch of money. And the idea is that I'm able to either drop in an expost that I find, right? I can just literally send Claude the link and then it just makes a post. So that means that it goes and it it does research. It'll go to a thread. It will pull off different reactions. It will also go like read articles and it will either create B-roll or it will go to the article. It even found this clip, right? It found a clip of Daario, threw it in here with audio. So, it's more than just making a

28:29carousel. It's it's automated like the backend research and thought that goes into making the carousel as well. And I'll just go through one more thing that this does. So, this one, for example, did really well. And you'll notice that it has 559 comments. And this is obviously using an automation, right? Like a money manyhat type of automation, but I've automated that, too. So, we're giving away a resource guide and we could link people back to our community if we wanted to. I haven't done that yet here, just giving away the stuff, but not only are they commenting for it, which helps like boost engagement and things like that, but in the DMs with

28:59these people, we're making them follow first to get the automation or to get the prompt. So, they're commenting and then it says, "Hey, if you, you know, drop us a follow, we'll send it over and then we shoot it over." And so, all of that's automated. And now, like I said, it's, you know, 99% because every 4 hours it goes through, it finds a few posts and it makes some carousels and posts them. But then I'm also still, if I see something, I'm still dropping it in and I am, you know, may maybe sometimes still iterating on the prompt a little bit. Sometimes I'll see a post

29:25that I didn't like. I'll delete it. I'll shoot it back and say, "Hey, you know, I didn't like this piece of it. Do it again." Blah, blah, blah. But yeah, I mean, this really will get to a point where it is 100% automated. You know, this previously would have probably been a full-time role for someone to manage and run this Instagram account. And once we do get to monetize it, I will 100% have agents that are managing the sponsorship inbox, automatically taking payments, automatically creating those posts, scheduling them out, communications. That is going to be super super cool. And you know, I think that just goes to show 30 days, almost

29:532K followers. 2K is not that impressive, but it I think it's a lot more realistic of what is possible as long as you're pretty impressive for 30 days, honestly. I mean, you know, if you told me you've been working on this for 9 months and you're at 2K, that'd be one story, but 30 days in, I I think that's that's

30:08great for 30 days. Yeah. No, I'm pretty happy with it. Especi if you if you really think about like in total, the past 30 days, how many total hours have I spent on this? I would probably tell you four to five. Yeah, I'm pretty happy with it. Now, what I thought would be we could do real quick to end this episode or to end this demo would be I could go grab a quick X post and just shoot it in and we could see it run. So, I guess you can see this. Here's an example I just found. A I could become self-aware. We've got a video here. And

30:36what I can do is bring this over to Claude. And so, what I always do here is, you know, you can see that I I got out a different one. Now, I just post it and it posted it. Um, but then what I always do is I keep this on remote control and then I keep my computer awake so that if I'm like at the gym or on a walk and I see an expost, I can just shoot it off. But also, I have this connected to like a VPS version of Cloud Code, so I can do it there as well. But I basically would just say make a

30:59carousel for this, shoot the link off, and then when I run that, it goes there. It's going to read the replies. It's going to, you know, download the video, slice it up, and it will pretty much just make the whole research post. It might decide that there's a good resource to have people DM for. It might not, but obviously we can enforce that, you know, if we wanted that to happen every time, we could enforce things like that. But yeah, it's just pretty cool like automated pipeline now of creating

31:22these social media posts. And you've got a whole skill built. So when you say make a carousel for this, it just goes and knows what skill to grab. Yep. And that skill has things like our brand guidelines. It has things like the way that we talk. It has assets it will save. So sometimes if it's creating generated videos or images, it will save them to in case we want to reuse them later. In this one, it's going to it took the clip already. You can see it's going to transcribe it. And my guess would be that it's going to cut that up and have a few like 20 second clips in

31:49the carousel of like important things that this person said in the clip. But we will see what it actually does. Here's another example of like obviously it's it's taking screenshots and stuff, right? Because when it does things like this where it's putting this little thing behind Daario, it has to like cut out Daario, put that in there, and then layer it back. And it has to make sure that it's not going to cover up his face or anything like that. And sometimes it'll just play a video here, too. So, it will make sure that it's spacing everything out right that it actually

32:16makes sense. How long does this typically take to run? So, once you feed it a video and say, "Hey, make this carousel." What what would you say like the average amount of time it takes to do it is? I would say it's probably about 5 minutes. Maybe this wasn't the best example because whenever it's a video, it obviously takes a little bit longer, but it doesn't take too long. And then you can also just like I I've come into a thread before and just dropped in like like 10 posts that I found that I liked and then it will just bang all of them out. And also the desktop app, it does

32:42this cool thing now where it will suggest to open up another thread and then it will just like slot in a thread below this one and they're all linked and then you can have this one main thread manage all the other ones. I don't know if you've played around with that yet, but it's pretty slick when uh when you shoot off a ton of work to one thread, it'll be like, hey, you know,

32:58these are all kind of separate tasks. Let me shoot these off in like their own like parent or or child sessions or something. Yeah. Yeah. That's kind of like the new projects feature in Claude. Yes. Yes. That that that's what it is. Yeah. Super cool. It is pretty nice. And also that's another piece that it does is it

33:11confirms everything. Oh, nice. So it makes sure that everything is real because sometimes on X there's a lot of like fake news, right? And then the other thing it will do is if I'm manually asking it to make a carousel, when I say post it, before it actually does it, it will go make sure everything is still true. Because sometimes I've had it happen where I have it generate a carousel and then I ask it to post it and then the old post actually got deleted or um edited or something else has changed. So it does like one one

33:37more sweep through which is nice. Instagram's API is kind of rough, right? So, I'm imagining it's actually opening the browser in Claude and you're already logged into Instagram, so it posts inside of the Claude browser that's already logged in. Is that what's happening or is it going directly through the API? Actually, this one is using Look for

33:55Everything. I'm not familiar with that one. It's the tool that Sabrina Ramanov created if you're familiar with Sabrina, but I've heard her name before. Yeah. So, it's it's a tool that she created and it allows you to have multiple accounts. So, like I told you earlier, I've got a few other things that are auto posting on X and LinkedIn and Instagram, Tik Tok, bunch of different accounts, and Blot can just manage all those accounts. And then it also, she just pretty much worked in the DM automation functionality. And that's when I was like, you know what? I'm going to I'm going to test this out on,

34:20you know, this this account. So, the DM automation stuff isn't actually through Minihat. It's through, what did you call it? Bottom? Blow. Blow. Okay. It's the ManyHat style, but yeah, it's not it's not through ManyHat. It's using Blot. So, you can see this one finished up. It took I think it said a little over 5 minutes, like five or six. And what it does is it gives you this video so you can actually just like preview the entire carousel. We've got the opening slide and it chose to do this tweet style. So it played a lot of the video in just one slide. So I think this

34:48is a two slide carousel and it just ended it with that. So it was looking through to see what would be a good frame for the last picture. But yeah, then it just basically put this with these with this caption. These systems might acquire some feeling of self-awareness. Mhm. You can see, oh wait, there are three video tweet 36 seconds and then another one's 36 seconds. Oh, okay. So, halfway through the text switches to we're made of the same carbon matter with our squishy brains. And then you can see here it's already recommending to post it. So, I would just hit tab, hit enter, and you know what? I might I

35:16might as well just go ahead and post it. But then it'll do a quick refresh and make sure everything's still good. And then it will just pop up on my my Instagram and say it's live. And it also logs everything on a a Google sheet so I can go see every single post. Um, and that way, the reason I'm having it log everything is just so that it makes sure that it's not duplicating a topic. So,

35:34I've also got that going on, too. You know what would be cool, and this is thinking out loud, is if periodically it pulled in stats of how they're performing into the Google sheet, and then it could go look back at what stuff performed and almost have like its own internal reinforcement learning of how to get better and better because it's

35:52watching the stats of what performed. Yes, you are. You are 100% right. And I forget if that is automated or not, but here I'll actually just show you real quick. Okay, so I haven't set that up yet, but yeah, I've prepped it to do that so that over here you can see it will go through and it will start to come back and understand the stats on it. I guess it did it a weekly for some of these, but not all of them. But yeah, I do need to set up that element and then that'll be really cool to see how it's able to do like a weekly analytics

36:16and um see if it updates its own skills a little bit based on the data it's finding. So 100%. Yeah. Yeah. Sort of a self-improving loop. That'd be super cool. All right, that's what we got for you today. Three workflows that you can go and implement right now. And just as a reminder, like the easiest way to go and implement these is go to the GitHub page where Nate made all of this stuff available, copy in the link to that GitHub page to your Cloud Code or your codeex or your Grockbot or whatever app you're using and say, "Go build this out for me." And

36:48it will just build everything for you. But once again, I want to thank Nate Herk so much for jumping on with me and breaking down his workflows and going into so much detail so that I could share them with you and you have some really cool practical use cases for AI. This is a series that I'm going to be doing more of. This is my show me your workflow series. The last one with Bolav Sedu showed off his god's eye view and now we got three more workflows from Nate. If you like these types of videos, let me know in the comments and I'll make more of these Show Me Your Workflow

37:22videos. And if you haven't already, maybe consider liking this video and subscribing to this channel because that will make sure that when future versions of this pop up, they'll show up in your YouTube feed. And if you're brand new to this channel, I also try to keep everybody super looped in with all of the AI news. Every Friday, I make a breakdown of all of the AI news that happen throughout the week. So that if you don't want to have to drink from the fire hose all week and be overwhelmed by all the AI news, well, I make one video that you can check into once a week and

37:52get fully looped in for the week. So, if that's something that interests you as well, definitely subscribe to this channel and I'll make sure those show up in your YouTube feed. Thank you so much for hanging out with us today and nerding out with us. This was a blast to do and hopefully I'll see you in the

38:07next one. Thanks so much. Bye-bye.