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// transcript — 1182 segments
0:02 This episode is the clearest explanation of Claudebot on the internet and how you
0:06 can use it to make money and be more productive. Claudebot feels like hiring
0:11 a digital operator who works around the clock and actually ships. Once you see
0:16 it in action, it changes how you think about building, how you think about
0:19 delegating, and how you think about scaling. In this episode, we break down
0:24 real use cases, how to get started, the risk, and why this is becoming a serious
0:29 leverage tool for solopreneurs and founders. [music] This just in, Claudebot has officially
0:36 been renamed as Maltbot. I'm guessing they got a lot of heat from the
0:39 anthropic team, so they must have changed their name. So, it's
0:43 unofficially Cloudbot, officially Moltbot. If Claudebot has been on your
0:47 radar and you just want a clear explanation of how you can use this as a
0:52 solopreneur, as a founder, this episode is for you. >> I've been waiting for this moment. Alex,
1:06 Mr. Claudebot Finn has come on the podcast and by the end of this episode,
1:10 Alex, what are we going to learn? By the end of this episode, if you listen
1:15 attently and closely, you will have your own 247 AI employee working for you at
1:21 all times. But I've seen I've seen videos where that where that's the
1:26 promise. Can you can you can you commit? Can you promise to us that you're going
1:30 to showcase use cases that people haven't seen before? They haven't seen
1:34 and that by the end of this episode, they'll be able to implement it. You are
1:38 going to have an AI employee that's tracking trends for you, building you
1:43 product, delivering you news, creating you content, running your whole
1:47 business. This isn't this isn't your 101. It's going to be checking your
1:49 email letting you know when you get an email. This is going to be you're going
1:53 to be running a business by yourself with AI employees. >> Okay? So, it's for people who want to
2:00 make money and be more productive using Claudebot. It's for people who want to
2:05 actually improve their life, get more productivity, and not just kind of have
2:08 a Tamagotchi toy. >> All right, let's get into it. >> Let's do it. So, I have been playing
2:14 around with this pretty much non-stop for a week now. Uh I don't think I've
2:18 slept. This is the most excited I've been about technology probably since the first time I used
2:26 Chat GBT, if not in my entire life. uh because I really do believe this unlocks
2:32 a next level for solopreneurs. Probably a lot of the people watching this video
2:36 right now and then just people who want to get things done. Uh I am a oneperson
2:42 startup. You know, I have my own SAS that I uh built and run completely by
2:47 myself. You know, I'm a YouTube creator. I'm an ex creator. I have a newsletter.
2:51 I do a hundred things at once. I work from beginning to end of the day. And
2:54 when I got my hands on Claudebot and when I started trying it, like this
2:58 isn't hype. If you use this the right way, you're actually going to get insane
3:02 productivity, especially if you're someone in kind of my position, the the
3:08 one person startup. And so, let me give you an example. I think I'll give you an
3:12 example right here that will kind of blow a lot of people's minds. I don't
3:15 think a lot of people are doing something like this at the moment.
3:23 So I for instance every single day get a morning brief from my Claudebot Henry
3:28 from moving forward I will use Henry instead of Claudebot uh because I treat
3:32 my Claudebot with respect and use its name. So let me share first of all my
3:38 Telegram chat. I use Telegram to communicate with Henry. That's one of
3:42 the other kind of mind-blowing things about this, I think, is the fact that
3:46 you're interfacing just kind of in messaging app on your phone. But I get a
3:52 morning brief. And we did a lot of setup to get to this point. And I'll go
3:55 through that setup. I just want to kind of show the power of what we'll be going
3:59 through here. I get this morning brief. And every night while I'm sleeping,
4:04 Henry does many things for me. First of all, gives me the weather. That's kind
4:08 of nice. But I also have him doing a lot of work while I sleep. I have him
4:12 researching projects that I've talked about. One of the most amazing parts
4:18 about Claudebot is it is self-improving. Constantly self-improving. Every single
4:24 thing you tell it, it remembers and in includes in further conversation, future
4:29 conversation. Right? So, for instance, I talked about the fact that I am buying a
4:34 Mac Studio to run it on in the next couple weeks. And so it started going
4:38 and it started looking at different ways to run local models on a Mac Studio
4:42 overnight while I was sleeping without me asking and it created an entire
4:47 report for that. It came up with a content repurposing skill because I told
4:51 it I have a newsletter. I told I do YouTube X whole bunch of things. So it
4:55 came up didn't I didn't ask for this created a content repurposing skill for
5:00 me so I can easily repurpose my content. Right? It's just improving itself. The
5:05 most mind-blowing part I think of what it did for me over the last few days is
5:12 it kept an eye on X. It found if you've been paying attention to X, you know
5:15 Elon's been talking about giving a million dollars away to the top article,
5:20 right? It actually found, you know, that this this story articles are popping on
5:26 X. Elon's giving away a million dollars and it actually built out article
5:32 functionality for me in my SAS creator buddy. Right? So I have this app creator
5:37 buddy. It's all about X content and so it actually saw on X that articles are
5:42 popping off million dollars and it built out some article writing functionality
5:47 in Creator Buddy for me. I woke up, it said, "Hey, I built out this
5:51 functionality in Creator Buddy that I think would be helpful based on what's
5:55 trending. Check it out. Let me know what you think." And so now I have this
5:59 employee that is just every night while I'm sleeping checking what's trending,
6:03 what's going on, building me little demos and showcases, building new skills
6:07 based on our conversation from the past day. And then I wake up and I just got
6:11 to approve things. And so I got this article writer functionality,
6:16 built it out. It created a pull request. So it didn't just push this live on the
6:19 internet. That'd be insane. You don't want to do that just yet. Maybe one day
6:23 soon. Not just yet. Took the pull request, tested it. Looked great. Works
6:29 brilliantly. You can write articles. Looked pushed it to live. And just like
6:34 that, I have new functionality in Creator Buddy based on what's going on.
6:38 And like this is the like this right here would have took me hours. That's
6:43 hours saved just like that from my Clawbot being proactive and figuring out
6:46 what I'm interested in. >> Well, it saves you hours and maybe you
6:52 you pro you might you okay, this is a great idea. Maybe you would have come up
6:54 with this idea, but maybe you wouldn't have come up with this idea. You know
6:57 what I mean, >> right? And and that's one of the brilliant pieces of of leverage here is
7:05 this is super intelligence, right? this is able to think a lot more a lot
7:09 quickly and has a lot more context than my brain has and yeah I might not have
7:13 came up with this idea and luckily it did and now it's live and my apps and my
7:19 business are improving literally while I sleep and I'm just a oneperson business
7:23 I'm not hiring people this is my employee and it was able to get this
7:27 done which is really incredible >> what what okay a naysayer is watching
7:31 this or listening to this what are they saying when they're hearing and watching
7:34 this >> so I actually get this a lot. I get a lot of naysayers. I get a lot of people
7:39 going, "This is BS. You're you're making this all up. This this this is not BS."
7:44 So, here's how you This is all about setup. You don't just turn this on and
7:48 it starts building you SAS. There's a lot of setup that goes into getting this
7:52 type of functionality. I mean, there's a lot of other I'm demoing a lot of other
7:56 things that it built out for me completely autonomously. Um, the setup
8:04 of your Claudebot is critical. What you need to do because its memory
8:11 is so strong is you need to go in and you need to make sure it knows as much
8:16 about you as humanly possible, right? You need to make sure if you have a
8:19 YouTube channel, you put the link to your YouTube channel. You talk about
8:22 what you create content on. You talk about your hobbies, your interests,
8:25 every part of your business, what your goals and aspirations are, right? What
8:31 what your relationship status is. like literally as much as you possibly can,
8:35 you want to give to it because it's going to remember all of it in every
8:40 conversation. Then just like you would a human being, you want to set
8:45 expectations, right? So like you, if you've ever had an employee before,
8:48 anyone watching this, you set expectations with your employee when
8:52 they first get hired on like what you want that working relationship to be
8:56 like. And so the big way I got all of this is I set the expectation with my
9:05 clawbot that I want a proactive relationship where I don't need to give
9:09 it all its commands. It can just do things without me. And so I have a
9:14 prompt. Greg, I will send this prompt to you uh after this so that you can
9:19 include in the description if you'd like. You want to give this prompt. Uh
9:25 the the UI is not great with this here. I'll read it out though really quick so
9:29 people can have an idea of how it works. Uh but when I started my relationship
9:32 during the onboarding it's like okay you know what should I know about you? I put
9:36 this in but everyone watching you can just put this in even if you've already
9:41 onboarded. I am a one-man business. I at the moment uh let me see here I have a
9:48 little typo in here. I from oh I no I don't. I work from the moment I wake up
9:52 to the moment I go to sleep. I need an employee taking as much off my plate in
9:57 being as proactive as possible. Please take everything you know about me and
10:01 just do work you think would make my life easier or improve my business and
10:05 make me money. I want to wake up every morning and be like, "Wow, you got a lot
10:09 done while I was sleeping." Don't be afraid to monitor my business and build
10:12 things that would help improve our workflow. Just create PRs for me to
10:16 review. Don't push anything live. I'll test and commit. And what this is doing
10:22 is this is setting the expectations for your working relationship with your
10:26 Cloudbot. Right? You want to treat this with respect as a human being, right? As
10:30 you would treat a human being. And from there, when I said it this, it was like,
10:35 okay, I want to be able to update you on things. Let's do a morning brief. And it
10:38 started sending me the morning briefs. And I got a morning brief like, oh, can
10:41 you also research my YouTube competitors? And I gave it a list like
10:45 20 channels. And then it started including like, oh, this channel, it
10:48 actually was really interesting. I think I have an example I can show you right
10:52 here. It actually uh started letting me know whenever other channels had content that
11:02 performed well. Let me see if I have one of my morning briefs up that has this.
11:07 Yeah, here we go. So, it was like, "Oh, you want me to do uh competitor research for you? I know
11:13 what I'll do. I will see when someone posts a video that outperforms their normal videos and
11:20 let you know in the morning brief. And you can see one of my morning briefs
11:25 from a couple days ago, Nate B. Jones, who's another AI channel, posted a video
11:30 that did better than it normally does on his channel, right? And so it's little
11:36 things like this where you just want to set expectations for your relationship,
11:40 give it as much context about you as humanly possible. And this is really important. Interview
11:47 it, right? Interview it as much as you can where I'm like, I'm a YouTube
11:52 creator. What can you do for me? What what what what task can you do? How can
11:56 you make my life easier? And it sat there and it thought and it came up with
11:59 like 10 different things. And one of them was I'll research your competitors
12:03 and see when they have outlier videos. And now that's included in my morning
12:08 brief. I think the issue most people have when they use not only Claudebot
12:15 but any AI tool at all is they don't hunt the unknown unknowns. And what I
12:20 mean by that is these AIs have unbelievable power, can do unbelievable
12:25 things, but we only ever ask it to do things we think of. You want to spend a
12:30 lot of time saying, "Hey, here's everything about me. What can you do for
12:35 me?" and find those unknown unknowns and that's how you unlock workflows like
12:40 this which are unbelievable and have seriously saved me hours and hours and
12:43 hours of my life in a week. >> What else uh what else can you show?
12:50 >> I got a good amount. So, basically every night it's been building different apps
12:57 to improve our workflow. One of my favorite things it's been doing is it's
13:02 actually been uh track it built a project management tool. Um so let me
13:08 pull this up here. Here we go. Uh it built this and actually before I show
13:12 this let me give one more tip before I go deeper into kind of the tech and
13:16 building side. Claude Opus is the best model ever made. Period. It is fantastic
13:23 for Claudebot. One issue is even if you're on the $200 plan, you're going to
13:27 hit your limits if you just use it for everything. So, what I'm about to show
13:30 you, I'm about to show you a few things that Henry built for me. You want to
13:36 make sure when you ask your Clawbot to, hey, be proactive, build things for me
13:41 overnight, build me, code me stuff. You want to use the right muscles. And
13:45 what I mean by that is I think of opus as the brain. You want to use other
13:51 models as the muscles. Codeex is a really good muscle for coding for this.
13:57 And so set up codecs inside your Cloudbot. Say, "Hey, whatever your name
14:03 of your Cloudbot is, use only use codecs from here on out for building." And what
14:07 that's going to do is save you a ton of usage on your cloud so you can use it
14:11 the whole month, never hit limits, and also use other models to build other
14:14 things out and make it more efficient. So that's just a side tip before I go
14:17 into this next kind of step in my workflow. But just an example of
14:21 something it built for me is this product management uh tool which it
14:25 calls mission control. It named it that mission control where it actually tracks
14:34 all the tasks it does for me. Uh and as it does them moves them along
14:40 this board, right? And so I can wake up in the morning. I get the morning brief
14:43 which gives me kind of rundown of things it did. But I can also go into the
14:48 activity here over on the right hand side and see all the tasks it completed
14:52 for me recently. And so this is kind of like our tracker system where if you use
14:57 cloud but all you know it's all it's just one chat. You don't have multiple
15:01 conversations as the chat gets older. You can't really scroll back to see what
15:05 was said. This is your way of tracking everything it's done uh in in
15:09 perpetuity. >> So is this something that you asked it to build or is this come stock? like how
15:15 did how does this happen? >> This built it. So, kind of with my
15:19 prompt where I was like, "Be proactive. Figure out ways to improve our
15:23 workflow." One morning, I woke up and it basically had the V1 of this where it
15:28 kind of looked like a vibecoded cananband board you would see in any
15:31 sort of tutorial video online, but it built it built a canband board with the
15:35 goal of me tracking the tasks it's doing. And then I massaged it a little
15:41 bit after, but 80% of this was built autonomously while I slept and I woke up
15:45 to it. [sighs] >> That's crazy. [laughter] >> Yeah, it it's it's I think what
15:54 excites me the most about Claudebot out of all this is it's like
16:01 it has unlimited potential. This this is an open-source harness. This isn't like
16:06 a model. This isn't a kind of clawed co-work where there's guard rails
16:11 protecting everything. This is no guard rails, just a harness
16:18 for an AI agent that just remembers everything you tell it and self-improve.
16:22 So, you can take this any direction you want and push it to limits that have
16:27 never been seen before, right? And that's what excites me about it is like
16:30 you can do things like that where you can say, "Hey, tonight build me
16:33 something that'll improve our workflow. Good night. I'll see you in the morning.
16:36 And you can get something like this. There's not there's never been a
16:39 technology that allows for this type of autonomous improvement.
16:44 >> Yeah. I mean, you can you can say, hey, you know, I run an e-commerce website.
16:48 You know, t right right now, it converts at 1.2%. Meaning 1.2,
16:55 you know, let's say just over one customers convert out of every hundred.
17:00 The average, you know, I want to get to 4%. You know what are some like iterate
17:07 on on helping me convert more customers because more customers means more money,
17:11 more revenue, more profit and then you wake up the next day and something
17:14 happens. Exactly. You can I mean you can take it a step further like this is going to be
17:21 difficult to do but I think in the next few months more people will be able to
17:26 do it which is like taking out the barriers in your mind of what AI is like cuz taking it a step
17:33 further what you just said you need to think of it from the lens of what would
17:37 a human being do if I had a human being right here they had a computer they they
17:43 had our e-commerce site up on it what would they do not what would AI do? What
17:48 would a human being with a computer do? And what they would probably do is they
17:53 might create a couple checkout workflows. Then they might test it
17:58 themselves, go through, test the workflow themselves, take notes on what
18:03 was easy, what was difficult, and then come back to me with a report like,
18:07 "Here's the three different workflows. I created three different branches on your
18:10 GitHub, and here's a description of how they worked and what I liked about them.
18:13 You want to test it and let me know which one you like?" Like that's the way
18:16 a human being would do it. So that's what you should instruct your clawbot to
18:20 do, right? You should be like, "Hey, come AB test a few different workflows
18:24 to improve checkout. Take screenshots. When I wake up, I'll go through screenshots and let you know
18:29 which one I want you to implement." That's kind of the new lens we should be
18:34 using with this technology, not what kind of we were used to before with like
18:37 just straight up chat GBT. >> Well, it's almost like an agency even.
18:41 It's not even one person, right? So, it's like if you hired an e-commerce
18:44 design agency, what's the first thing they're going to do? They're going to
18:47 audit your website. They're going to say, "Okay, I'm going to look at every
18:52 single page, every every letter of copy, every image, everything." That's step
18:56 one. The step two is I'm going to come up with a bunch of ideas. And then step
18:59 three is I'm going to wireframe those ideas. I'm going to do competitor
19:03 competitive analysis, etc., etc. And usually when you have an agency, it's
19:06 not like you just have one designer working on it. You have a copywriter,
19:11 you have a marketer, uh you have an engineer, right? You have all these
19:16 people put together. And what's really cool about Claudebot is it's this
19:22 employee, this 24/7 employee is bespoke to understanding your business, right?
19:27 because it has all the context necessary and it's, you know, I if this does what
19:33 it says it does. Um, like meaning if it actually can do the task, then I don't
19:37 understand how this isn't like, you know, a genie in a bottle and the people
19:43 that, you know, correct me if I'm wrong. >> Yeah. I mean, we are 20 days into this.
19:47 This released actually uh exactly 24 days ago. This was basically discovered
19:52 5 days ago on Twitter. Um, so it's about for all sake for all sake and purposes 5
19:57 days old. And so people are starting to kind of realize what's possible. I
20:00 showed you a couple of things out of what's possible. But like taking this a
20:03 step further. What does this look like in a month? What this is like 6 months
20:07 in a year. Imagine a world where you every person has their own personal computer that has
20:16 five or six AI local AI models running that specialize in different things. a
20:20 vision AI model, you know, several different models and they're all
20:24 constantly working on your business, right? So, I I I just ordered a uh Mac
20:30 Studio maxed out RAM. I want to be on the cutting edge of this and what I'm
20:34 going to be able to do uh my Claudebot Henry actually built the plan for this
20:37 because I was talking about I think I want to get a Mac studio with like local
20:40 models and it's like, okay, here's what we should do. It's going to have local models where
20:46 I'm going to record a video. The moment it's done recording, there's going to be
20:50 one AI agent that just watches my downloads to see what goes into it. It's
20:54 going to recognize I had a video that went into it. It's going to hand it to
20:59 another AI agent that an audio AI agent. I forget the API it's going to use, but
21:03 it's going to extract the transcript. It's going to give it like miniax 2.1
21:07 which is kind of a lighter weight local AI agent that's going to then find the
21:12 bookmarks or the uh yeah the the checkpoints in the video for YouTube
21:15 where you can have your bookmarks in there. Then it's going to hand it to
21:20 Nano Banana or Flux 2 point Flux which is a local uh vision model image model
21:25 that's going to then generate the thumbnail, right? And now all I did was
21:30 record the video. And now five different models locally on my computer are going
21:34 to basically process this video and in 45 seconds the entire production process
21:38 is over and it's going to be uploaded on YouTube. Right? That's where this is
21:43 going. We just kind of need to as a community get to the point where we're
21:46 thinking of it in this lens which is what does unlimited proactive
21:52 productivity look like with an AI agent, not just a chatbot. And like that's
21:55 where we're going to be going I think over the next few months is once we
21:59 start looking at this through that lens. All those things are very possible right
22:02 now. >> So if if people want to get started with this, they could buy a Mac Mini, they
22:08 can buy a studio, they can host it on the cloud. Like what's your
22:11 recommendation? >> There's many ways to do it. Uh the cheapest, quickest way is hosting it on
22:19 the cloud. uh which is you can go on Amazon AWS EC2 which is basically a
22:25 virtual private server where you can install CloudBot and it runs on there.
22:29 That's the quickest and cheapest. I actually would not recommend that. I'
22:33 I've gone through all the setups. I've tried every way to set this up just so I
22:37 can be familiar with what I'm talking about and I don't love that system. Uh I
22:42 think it's technically confusing for the normie. I think that it makes it
22:46 difficult for it to use different tools, for it to monitor emails and do
22:50 different things cuz you need to plug in APIs for every single thing. But if like
22:54 you're really nervous and you just want to dip your toes, that's the way to go.
23:00 I think the best path for the average person honestly is a Mac Mini. Um,
23:05 actually I take that back like if you just have like a a computer laying
23:10 around uh using a computer. Basically my recommendation is the cheapest computer
23:14 you can find, use that a local device. The reason why I recommend that is like
23:18 you can control the environment, you can control the accounts it has access to,
23:22 you can control the tools it has access to, you can monitor it and watch what
23:27 it's doing in real time. Uh, I think that methodology of being able to watch what
23:35 it's doing on a screen, uh, is just fun and helpful and interesting. It helps
23:39 you learn how the technology works. And I think the more you learn how it works,
23:43 the better you'll be at using it. Uh I think if you like you're taking it to
23:46 the next level which I am going to do is like okay now you get hardware like a
23:51 Mac studio or you buy GPUs where you can start running local models which gives
23:57 you the advantage of a saving you kind of money on tokens but b you just learn
24:01 how AI and machine learning works and you can train models and do interesting
24:05 things like that. Basically the more you tinker the more you're going to learn
24:08 and the better the experience is going to be. So, in a nutshell, I recommend
24:13 going the Mac Mini route, even though a lot of people on the internet tell you
24:16 not to. I've been using this non-stop. Mac Mini, I think, is the way to go, but
24:20 you can go the VPS route if you just kind of want to dip your toes a little
24:22 bit. >> Yeah, I think the studio makes sense. Like, for someone like you, the studio
24:28 makes sense because you've had the aha moment, you know, and it's you kind of
24:34 have to have the aha aha moment to, >> I guess, to really get it and to be
24:38 bought in. So, like for someone listening to this and it's their first
24:41 time ever, like probably don't go out there and buy a Mac Studio, right? Like
24:46 try to set it up. See, have the aha moment. You know, seeing is believing.
24:52 And then, you know, once you and if you get to that point where you're like,
24:55 "Okay, I see a huge opportunity here." Like for example, like if we do believe
25:01 that Claudebot could be almost like an agency where you can run local models
25:05 where it does video editing and titles and scripting and you know basically a
25:10 whole process there or e-commerce you know uh conversion rate optimization if
25:15 we believe it can do that you know buying a Mac studio is like a
25:19 business in a box that you can like have clients right you can have clients and
25:25 Henry or whatever you end up calling it. Greg, you know, Greg's a nice name,
25:30 [laughter] too. Greg, Gregbot ends up doing the work. And now you have
25:33 multiple clients hopefully paying you $2,000 a month. Clients are happy
25:38 because they're used to paying $20,000 a month. You're happy because you have 20,
25:44 you know, 20 clients or whatever, and the payback period on your studio all of
25:47 a sudden becomes pretty quick. Well, here's I think here's the mental
25:50 framework people need to have when it comes to AI, which is I I think the
25:54 mistake a lot of people make is when they think about costs, they think, "Oh,
25:59 Claude Max, $200, that's insane. Chad GPT Pro, $ 250, that's insane. Mac Mini,
26:03 $600, that's insane." And, you know, everyone's in different financial
26:06 situations, so I can't tell people how to spend their money. But the mental
26:10 framework you need to have is most people are comparing these costs to
26:15 like Netflix. Oh, I pay $20 a month from Netflix. I'm not going to pay $200 for
26:19 chat GPT. The thing is is Netflix, Xbox Live, all those those are money syncs. Those are
26:27 not producing any sort of value in your life, right? But a $600 Mac Mini, while
26:33 that feels expensive, you're buying an employee, right? If you were to go and
26:39 buy a software developer or even just like an executive assistant, you're
26:45 spending $10,000 a month. You're getting all of that for $600 upfront cost and
26:51 that's like revolutionary. So you need to look at it more from an investment in
26:56 your productivity and what you get done and just improving what you produce in
27:00 this world. You can't be comparing it to like the cost of a Starbucks or the cost
27:03 of Netflix. You need to compare it to the cost of hiring a developer or hiring
27:07 another employee. And if you think about it from that way, $600 is nothing. I was
27:12 just thinking about like the Cloudbot dashboard, you know, when you when you
27:15 lo when you set it up, you get into the dashboard and it's a bit overwhelming
27:21 because, you know, thank you for for giving us that prompt. So I will include
27:26 it in the description, but I envision a world like how Cloudbot could evolve is
27:32 that you know it's basically a productize like I I believe Cloudbot or
27:37 whatever however it evolves there's going to be like hire a designer, hire a
27:42 copywriter, hire you know it just it does it feels it kind of feels still
27:47 very technical. Is that is that just me? It's technical in the way.
27:54 Well, it's not technical because all you got to do to install is put one line
27:58 into your command. So, it's not technical. I think what the issue is is
28:04 it just requires there's no sort of path. >> Yeah. >> For people it it is a total open world.
28:11 >> It's a card when you >> Right. It's like when you are playing
28:15 Skyrim and you get out of the cave and then just the entire world's in front of
28:18 you. It's like, "Okay, what the hell do I do now?" Right? We're going to
28:22 eventually get paths where it's like, "Okay, you're a content creator. Here's
28:26 kind of a personality for your claw bot where it'll start repurposing content
28:31 for you or hey, you're a designer. Here's like out of the box skill set
28:35 where it's using Nano Banana Pro and making you thumbnails and things like
28:37 that." Like that that will come and yeah, that'll take a lot of the
28:41 confusion. I think just the only reason so many people oh it's overhyped is it's
28:44 like they open it up they say hey tell me a fart joke claude bot and then it's
28:48 like oh this doesn't do anything special I'm out of here right like so you you
28:51 are right I think it is difficult for the average person at the moment because
2:08 a Tamagotchi toy. >> All right, let's get into it. >> Let's do it. So, I have been playing
2:14 around with this pretty much non-stop for a week now. Uh I don't think I've
2:18 slept. This is the most excited I've been about technology probably since the first time I used
2:26 Chat GBT, if not in my entire life. uh because I really do believe this unlocks
2:32 a next level for solopreneurs. Probably a lot of the people watching this video
2:36 right now and then just people who want to get things done. Uh I am a oneperson
2:42 startup. You know, I have my own SAS that I uh built and run completely by
2:47 myself. You know, I'm a YouTube creator. I'm an ex creator. I have a newsletter.
2:51 I do a hundred things at once. I work from beginning to end of the day. And
2:54 when I got my hands on Claudebot and when I started trying it, like this
2:58 isn't hype. If you use this the right way, you're actually going to get insane
3:02 productivity, especially if you're someone in kind of my position, the the
3:08 one person startup. And so, let me give you an example. I think I'll give you an
3:12 example right here that will kind of blow a lot of people's minds. I don't
3:15 think a lot of people are doing something like this at the moment.
3:23 So I for instance every single day get a morning brief from my Claudebot Henry
3:28 from moving forward I will use Henry instead of Claudebot uh because I treat
3:32 my Claudebot with respect and use its name. So let me share first of all my
3:38 Telegram chat. I use Telegram to communicate with Henry. That's one of
3:42 the other kind of mind-blowing things about this, I think, is the fact that
3:46 you're interfacing just kind of in messaging app on your phone. But I get a
3:52 morning brief. And we did a lot of setup to get to this point. And I'll go
3:55 through that setup. I just want to kind of show the power of what we'll be going
3:59 through here. I get this morning brief. And every night while I'm sleeping,
4:04 Henry does many things for me. First of all, gives me the weather. That's kind
4:08 of nice. But I also have him doing a lot of work while I sleep. I have him
4:12 researching projects that I've talked about. One of the most amazing parts
4:18 about Claudebot is it is self-improving. Constantly self-improving. Every single
4:24 thing you tell it, it remembers and in includes in further conversation, future
4:29 conversation. Right? So, for instance, I talked about the fact that I am buying a
4:34 Mac Studio to run it on in the next couple weeks. And so it started going
4:38 and it started looking at different ways to run local models on a Mac Studio
4:42 overnight while I was sleeping without me asking and it created an entire
4:47 report for that. It came up with a content repurposing skill because I told
4:51 it I have a newsletter. I told I do YouTube X whole bunch of things. So it
4:55 came up didn't I didn't ask for this created a content repurposing skill for
5:00 me so I can easily repurpose my content. Right? It's just improving itself. The
5:05 most mind-blowing part I think of what it did for me over the last few days is
5:12 it kept an eye on X. It found if you've been paying attention to X, you know
5:15 Elon's been talking about giving a million dollars away to the top article,
5:20 right? It actually found, you know, that this this story articles are popping on
5:26 X. Elon's giving away a million dollars and it actually built out article
5:32 functionality for me in my SAS creator buddy. Right? So I have this app creator
5:37 buddy. It's all about X content and so it actually saw on X that articles are
5:42 popping off million dollars and it built out some article writing functionality
5:47 in Creator Buddy for me. I woke up, it said, "Hey, I built out this
5:51 functionality in Creator Buddy that I think would be helpful based on what's
5:55 trending. Check it out. Let me know what you think." And so now I have this
5:59 employee that is just every night while I'm sleeping checking what's trending,
6:03 what's going on, building me little demos and showcases, building new skills
6:07 based on our conversation from the past day. And then I wake up and I just got
6:11 to approve things. And so I got this article writer functionality,
6:16 built it out. It created a pull request. So it didn't just push this live on the
6:19 internet. That'd be insane. You don't want to do that just yet. Maybe one day
6:23 soon. Not just yet. Took the pull request, tested it. Looked great. Works
6:29 brilliantly. You can write articles. Looked pushed it to live. And just like
6:34 that, I have new functionality in Creator Buddy based on what's going on.
6:38 And like this is the like this right here would have took me hours. That's
6:43 hours saved just like that from my Clawbot being proactive and figuring out
6:46 what I'm interested in. >> Well, it saves you hours and maybe you
6:52 you pro you might you okay, this is a great idea. Maybe you would have come up
6:54 with this idea, but maybe you wouldn't have come up with this idea. You know
6:57 what I mean, >> right? And and that's one of the brilliant pieces of of leverage here is
7:05 this is super intelligence, right? this is able to think a lot more a lot
7:09 quickly and has a lot more context than my brain has and yeah I might not have
7:13 came up with this idea and luckily it did and now it's live and my apps and my
7:19 business are improving literally while I sleep and I'm just a oneperson business
7:23 I'm not hiring people this is my employee and it was able to get this
7:27 done which is really incredible >> what what okay a naysayer is watching
7:31 this or listening to this what are they saying when they're hearing and watching
7:34 this >> so I actually get this a lot. I get a lot of naysayers. I get a lot of people
7:39 going, "This is BS. You're you're making this all up. This this this is not BS."
7:44 So, here's how you This is all about setup. You don't just turn this on and
7:48 it starts building you SAS. There's a lot of setup that goes into getting this
7:52 type of functionality. I mean, there's a lot of other I'm demoing a lot of other
7:56 things that it built out for me completely autonomously. Um, the setup
8:04 of your Claudebot is critical. What you need to do because its memory
8:11 is so strong is you need to go in and you need to make sure it knows as much
8:16 about you as humanly possible, right? You need to make sure if you have a
8:19 YouTube channel, you put the link to your YouTube channel. You talk about
8:22 what you create content on. You talk about your hobbies, your interests,
8:25 every part of your business, what your goals and aspirations are, right? What
8:31 what your relationship status is. like literally as much as you possibly can,
8:35 you want to give to it because it's going to remember all of it in every
8:40 conversation. Then just like you would a human being, you want to set
8:45 expectations, right? So like you, if you've ever had an employee before,
8:48 anyone watching this, you set expectations with your employee when
8:52 they first get hired on like what you want that working relationship to be
8:56 like. And so the big way I got all of this is I set the expectation with my
9:05 clawbot that I want a proactive relationship where I don't need to give
9:09 it all its commands. It can just do things without me. And so I have a
9:14 prompt. Greg, I will send this prompt to you uh after this so that you can
9:19 include in the description if you'd like. You want to give this prompt. Uh
9:25 the the UI is not great with this here. I'll read it out though really quick so
9:29 people can have an idea of how it works. Uh but when I started my relationship
9:32 during the onboarding it's like okay you know what should I know about you? I put
9:36 this in but everyone watching you can just put this in even if you've already
9:41 onboarded. I am a one-man business. I at the moment uh let me see here I have a
9:48 little typo in here. I from oh I no I don't. I work from the moment I wake up
9:52 to the moment I go to sleep. I need an employee taking as much off my plate in
9:57 being as proactive as possible. Please take everything you know about me and
10:01 just do work you think would make my life easier or improve my business and
10:05 make me money. I want to wake up every morning and be like, "Wow, you got a lot
10:09 done while I was sleeping." Don't be afraid to monitor my business and build
10:12 things that would help improve our workflow. Just create PRs for me to
10:16 review. Don't push anything live. I'll test and commit. And what this is doing
10:22 is this is setting the expectations for your working relationship with your
10:26 Cloudbot. Right? You want to treat this with respect as a human being, right? As
10:30 you would treat a human being. And from there, when I said it this, it was like,
10:35 okay, I want to be able to update you on things. Let's do a morning brief. And it
10:38 started sending me the morning briefs. And I got a morning brief like, oh, can
10:41 you also research my YouTube competitors? And I gave it a list like
10:45 20 channels. And then it started including like, oh, this channel, it
10:48 actually was really interesting. I think I have an example I can show you right
10:52 here. It actually uh started letting me know whenever other channels had content that
11:02 performed well. Let me see if I have one of my morning briefs up that has this.
11:07 Yeah, here we go. So, it was like, "Oh, you want me to do uh competitor research for you? I know
11:13 what I'll do. I will see when someone posts a video that outperforms their normal videos and
11:20 let you know in the morning brief. And you can see one of my morning briefs
11:25 from a couple days ago, Nate B. Jones, who's another AI channel, posted a video
11:30 that did better than it normally does on his channel, right? And so it's little
11:36 things like this where you just want to set expectations for your relationship,
11:40 give it as much context about you as humanly possible. And this is really important. Interview
11:47 it, right? Interview it as much as you can where I'm like, I'm a YouTube
11:52 creator. What can you do for me? What what what what task can you do? How can
11:56 you make my life easier? And it sat there and it thought and it came up with
11:59 like 10 different things. And one of them was I'll research your competitors
12:03 and see when they have outlier videos. And now that's included in my morning
12:08 brief. I think the issue most people have when they use not only Claudebot
12:15 but any AI tool at all is they don't hunt the unknown unknowns. And what I
12:20 mean by that is these AIs have unbelievable power, can do unbelievable
12:25 things, but we only ever ask it to do things we think of. You want to spend a
12:30 lot of time saying, "Hey, here's everything about me. What can you do for
12:35 me?" and find those unknown unknowns and that's how you unlock workflows like
12:40 this which are unbelievable and have seriously saved me hours and hours and
12:43 hours of my life in a week. >> What else uh what else can you show?
12:50 >> I got a good amount. So, basically every night it's been building different apps
12:57 to improve our workflow. One of my favorite things it's been doing is it's
13:02 actually been uh track it built a project management tool. Um so let me
13:08 pull this up here. Here we go. Uh it built this and actually before I show
13:12 this let me give one more tip before I go deeper into kind of the tech and
13:16 building side. Claude Opus is the best model ever made. Period. It is fantastic
13:23 for Claudebot. One issue is even if you're on the $200 plan, you're going to
13:27 hit your limits if you just use it for everything. So, what I'm about to show
13:30 you, I'm about to show you a few things that Henry built for me. You want to
13:36 make sure when you ask your Clawbot to, hey, be proactive, build things for me
13:41 overnight, build me, code me stuff. You want to use the right muscles. And
13:45 what I mean by that is I think of opus as the brain. You want to use other
13:51 models as the muscles. Codeex is a really good muscle for coding for this.
13:57 And so set up codecs inside your Cloudbot. Say, "Hey, whatever your name
14:03 of your Cloudbot is, use only use codecs from here on out for building." And what
14:07 that's going to do is save you a ton of usage on your cloud so you can use it
14:11 the whole month, never hit limits, and also use other models to build other
14:14 things out and make it more efficient. So that's just a side tip before I go
14:17 into this next kind of step in my workflow. But just an example of
14:21 something it built for me is this product management uh tool which it
14:25 calls mission control. It named it that mission control where it actually tracks
14:34 all the tasks it does for me. Uh and as it does them moves them along
14:40 this board, right? And so I can wake up in the morning. I get the morning brief
14:43 which gives me kind of rundown of things it did. But I can also go into the
14:48 activity here over on the right hand side and see all the tasks it completed
14:52 for me recently. And so this is kind of like our tracker system where if you use
14:57 cloud but all you know it's all it's just one chat. You don't have multiple
15:01 conversations as the chat gets older. You can't really scroll back to see what
15:05 was said. This is your way of tracking everything it's done uh in in
15:09 perpetuity. >> So is this something that you asked it to build or is this come stock? like how
15:15 did how does this happen? >> This built it. So, kind of with my
15:19 prompt where I was like, "Be proactive. Figure out ways to improve our
15:23 workflow." One morning, I woke up and it basically had the V1 of this where it
15:28 kind of looked like a vibecoded cananband board you would see in any
15:31 sort of tutorial video online, but it built it built a canband board with the
15:35 goal of me tracking the tasks it's doing. And then I massaged it a little
15:41 bit after, but 80% of this was built autonomously while I slept and I woke up
15:45 to it. [sighs] >> That's crazy. [laughter] >> Yeah, it it's it's I think what
15:54 excites me the most about Claudebot out of all this is it's like
16:01 it has unlimited potential. This this is an open-source harness. This isn't like
16:06 a model. This isn't a kind of clawed co-work where there's guard rails
16:11 protecting everything. This is no guard rails, just a harness
16:18 for an AI agent that just remembers everything you tell it and self-improve.
16:22 So, you can take this any direction you want and push it to limits that have
16:27 never been seen before, right? And that's what excites me about it is like
16:30 you can do things like that where you can say, "Hey, tonight build me
16:33 something that'll improve our workflow. Good night. I'll see you in the morning.
16:36 And you can get something like this. There's not there's never been a
16:39 technology that allows for this type of autonomous improvement.
16:44 >> Yeah. I mean, you can you can say, hey, you know, I run an e-commerce website.
16:48 You know, t right right now, it converts at 1.2%. Meaning 1.2,
16:55 you know, let's say just over one customers convert out of every hundred.
17:00 The average, you know, I want to get to 4%. You know what are some like iterate
17:07 on on helping me convert more customers because more customers means more money,
17:11 more revenue, more profit and then you wake up the next day and something
17:14 happens. Exactly. You can I mean you can take it a step further like this is going to be
17:21 difficult to do but I think in the next few months more people will be able to
17:26 do it which is like taking out the barriers in your mind of what AI is like cuz taking it a step
17:33 further what you just said you need to think of it from the lens of what would
17:37 a human being do if I had a human being right here they had a computer they they
17:43 had our e-commerce site up on it what would they do not what would AI do? What
17:48 would a human being with a computer do? And what they would probably do is they
17:53 might create a couple checkout workflows. Then they might test it
17:58 themselves, go through, test the workflow themselves, take notes on what
18:03 was easy, what was difficult, and then come back to me with a report like,
18:07 "Here's the three different workflows. I created three different branches on your
18:10 GitHub, and here's a description of how they worked and what I liked about them.
18:13 You want to test it and let me know which one you like?" Like that's the way
18:16 a human being would do it. So that's what you should instruct your clawbot to
18:20 do, right? You should be like, "Hey, come AB test a few different workflows
18:24 to improve checkout. Take screenshots. When I wake up, I'll go through screenshots and let you know
18:29 which one I want you to implement." That's kind of the new lens we should be
18:34 using with this technology, not what kind of we were used to before with like
18:37 just straight up chat GBT. >> Well, it's almost like an agency even.
18:41 It's not even one person, right? So, it's like if you hired an e-commerce
18:44 design agency, what's the first thing they're going to do? They're going to
18:47 audit your website. They're going to say, "Okay, I'm going to look at every
18:52 single page, every every letter of copy, every image, everything." That's step
18:56 one. The step two is I'm going to come up with a bunch of ideas. And then step
18:59 three is I'm going to wireframe those ideas. I'm going to do competitor
19:03 competitive analysis, etc., etc. And usually when you have an agency, it's
19:06 not like you just have one designer working on it. You have a copywriter,
19:11 you have a marketer, uh you have an engineer, right? You have all these
19:16 people put together. And what's really cool about Claudebot is it's this
19:22 employee, this 24/7 employee is bespoke to understanding your business, right?
19:27 because it has all the context necessary and it's, you know, I if this does what
19:33 it says it does. Um, like meaning if it actually can do the task, then I don't
19:37 understand how this isn't like, you know, a genie in a bottle and the people
19:43 that, you know, correct me if I'm wrong. >> Yeah. I mean, we are 20 days into this.
19:47 This released actually uh exactly 24 days ago. This was basically discovered
19:52 5 days ago on Twitter. Um, so it's about for all sake for all sake and purposes 5
19:57 days old. And so people are starting to kind of realize what's possible. I
20:00 showed you a couple of things out of what's possible. But like taking this a
20:03 step further. What does this look like in a month? What this is like 6 months
20:07 in a year. Imagine a world where you every person has their own personal computer that has
20:16 five or six AI local AI models running that specialize in different things. a
20:20 vision AI model, you know, several different models and they're all
20:24 constantly working on your business, right? So, I I I just ordered a uh Mac
20:30 Studio maxed out RAM. I want to be on the cutting edge of this and what I'm
20:34 going to be able to do uh my Claudebot Henry actually built the plan for this
20:37 because I was talking about I think I want to get a Mac studio with like local
20:40 models and it's like, okay, here's what we should do. It's going to have local models where
20:46 I'm going to record a video. The moment it's done recording, there's going to be
20:50 one AI agent that just watches my downloads to see what goes into it. It's
20:54 going to recognize I had a video that went into it. It's going to hand it to
20:59 another AI agent that an audio AI agent. I forget the API it's going to use, but
21:03 it's going to extract the transcript. It's going to give it like miniax 2.1
21:07 which is kind of a lighter weight local AI agent that's going to then find the
21:12 bookmarks or the uh yeah the the checkpoints in the video for YouTube
21:15 where you can have your bookmarks in there. Then it's going to hand it to
21:20 Nano Banana or Flux 2 point Flux which is a local uh vision model image model
21:25 that's going to then generate the thumbnail, right? And now all I did was
21:30 record the video. And now five different models locally on my computer are going
21:34 to basically process this video and in 45 seconds the entire production process
21:38 is over and it's going to be uploaded on YouTube. Right? That's where this is
21:43 going. We just kind of need to as a community get to the point where we're
21:46 thinking of it in this lens which is what does unlimited proactive
21:52 productivity look like with an AI agent, not just a chatbot. And like that's
21:55 where we're going to be going I think over the next few months is once we
21:59 start looking at this through that lens. All those things are very possible right
22:02 now. >> So if if people want to get started with this, they could buy a Mac Mini, they
22:08 can buy a studio, they can host it on the cloud. Like what's your
22:11 recommendation? >> There's many ways to do it. Uh the cheapest, quickest way is hosting it on
22:19 the cloud. uh which is you can go on Amazon AWS EC2 which is basically a
22:25 virtual private server where you can install CloudBot and it runs on there.
22:29 That's the quickest and cheapest. I actually would not recommend that. I'
22:33 I've gone through all the setups. I've tried every way to set this up just so I
22:37 can be familiar with what I'm talking about and I don't love that system. Uh I
22:42 think it's technically confusing for the normie. I think that it makes it
22:46 difficult for it to use different tools, for it to monitor emails and do
22:50 different things cuz you need to plug in APIs for every single thing. But if like
22:54 you're really nervous and you just want to dip your toes, that's the way to go.
23:00 I think the best path for the average person honestly is a Mac Mini. Um,
23:05 actually I take that back like if you just have like a a computer laying
23:10 around uh using a computer. Basically my recommendation is the cheapest computer
23:14 you can find, use that a local device. The reason why I recommend that is like
23:18 you can control the environment, you can control the accounts it has access to,
23:22 you can control the tools it has access to, you can monitor it and watch what
23:27 it's doing in real time. Uh, I think that methodology of being able to watch what
23:35 it's doing on a screen, uh, is just fun and helpful and interesting. It helps
23:39 you learn how the technology works. And I think the more you learn how it works,
23:43 the better you'll be at using it. Uh I think if you like you're taking it to
23:46 the next level which I am going to do is like okay now you get hardware like a
23:51 Mac studio or you buy GPUs where you can start running local models which gives
23:57 you the advantage of a saving you kind of money on tokens but b you just learn
24:01 how AI and machine learning works and you can train models and do interesting
24:05 things like that. Basically the more you tinker the more you're going to learn
24:08 and the better the experience is going to be. So, in a nutshell, I recommend
24:13 going the Mac Mini route, even though a lot of people on the internet tell you
24:16 not to. I've been using this non-stop. Mac Mini, I think, is the way to go, but
24:20 you can go the VPS route if you just kind of want to dip your toes a little
24:22 bit. >> Yeah, I think the studio makes sense. Like, for someone like you, the studio
24:28 makes sense because you've had the aha moment, you know, and it's you kind of
24:34 have to have the aha aha moment to, >> I guess, to really get it and to be
24:38 bought in. So, like for someone listening to this and it's their first
24:41 time ever, like probably don't go out there and buy a Mac Studio, right? Like
24:46 try to set it up. See, have the aha moment. You know, seeing is believing.
24:52 And then, you know, once you and if you get to that point where you're like,
24:55 "Okay, I see a huge opportunity here." Like for example, like if we do believe
25:01 that Claudebot could be almost like an agency where you can run local models
25:05 where it does video editing and titles and scripting and you know basically a
25:10 whole process there or e-commerce you know uh conversion rate optimization if
25:15 we believe it can do that you know buying a Mac studio is like a
25:19 business in a box that you can like have clients right you can have clients and
25:25 Henry or whatever you end up calling it. Greg, you know, Greg's a nice name,
25:30 [laughter] too. Greg, Gregbot ends up doing the work. And now you have
25:33 multiple clients hopefully paying you $2,000 a month. Clients are happy
25:38 because they're used to paying $20,000 a month. You're happy because you have 20,
25:44 you know, 20 clients or whatever, and the payback period on your studio all of
25:47 a sudden becomes pretty quick. Well, here's I think here's the mental
25:50 framework people need to have when it comes to AI, which is I I think the
25:54 mistake a lot of people make is when they think about costs, they think, "Oh,
25:59 Claude Max, $200, that's insane. Chad GPT Pro, $ 250, that's insane. Mac Mini,
26:03 $600, that's insane." And, you know, everyone's in different financial
26:06 situations, so I can't tell people how to spend their money. But the mental
26:10 framework you need to have is most people are comparing these costs to
26:15 like Netflix. Oh, I pay $20 a month from Netflix. I'm not going to pay $200 for
26:19 chat GPT. The thing is is Netflix, Xbox Live, all those those are money syncs. Those are
26:27 not producing any sort of value in your life, right? But a $600 Mac Mini, while
26:33 that feels expensive, you're buying an employee, right? If you were to go and
26:39 buy a software developer or even just like an executive assistant, you're
26:45 spending $10,000 a month. You're getting all of that for $600 upfront cost and
26:51 that's like revolutionary. So you need to look at it more from an investment in
26:56 your productivity and what you get done and just improving what you produce in
27:00 this world. You can't be comparing it to like the cost of a Starbucks or the cost
27:03 of Netflix. You need to compare it to the cost of hiring a developer or hiring
27:07 another employee. And if you think about it from that way, $600 is nothing. I was
27:12 just thinking about like the Cloudbot dashboard, you know, when you when you
27:15 lo when you set it up, you get into the dashboard and it's a bit overwhelming
27:21 because, you know, thank you for for giving us that prompt. So I will include
27:26 it in the description, but I envision a world like how Cloudbot could evolve is
27:32 that you know it's basically a productize like I I believe Cloudbot or
27:37 whatever however it evolves there's going to be like hire a designer, hire a
27:42 copywriter, hire you know it just it does it feels it kind of feels still
27:47 very technical. Is that is that just me? It's technical in the way.
27:54 Well, it's not technical because all you got to do to install is put one line
27:58 into your command. So, it's not technical. I think what the issue is is
28:04 it just requires there's no sort of path. >> Yeah. >> For people it it is a total open world.
28:11 >> It's a card when you >> Right. It's like when you are playing
28:15 Skyrim and you get out of the cave and then just the entire world's in front of
28:18 you. It's like, "Okay, what the hell do I do now?" Right? We're going to
28:22 eventually get paths where it's like, "Okay, you're a content creator. Here's
28:26 kind of a personality for your claw bot where it'll start repurposing content
28:31 for you or hey, you're a designer. Here's like out of the box skill set
28:35 where it's using Nano Banana Pro and making you thumbnails and things like
28:37 that." Like that that will come and yeah, that'll take a lot of the
28:41 confusion. I think just the only reason so many people oh it's overhyped is it's
28:44 like they open it up they say hey tell me a fart joke claude bot and then it's
28:48 like oh this doesn't do anything special I'm out of here right like so you you
28:51 are right I think it is difficult for the average person at the moment because
28:54 of that >> security privacy do we want to touch on that
28:59 >> I do uh it I mean it does have the nuclear codes right it can if it decided to for
29:09 some reason destroy everything it has access to right If you know if there is
29:14 there's prompt injection risk. If you say, "Hey Claude, read every single one
29:19 of my emails." And someone emails you trying to prompt inject you and the
29:26 model is not smart enough to see that it's a prompt inje prompt injection. You
29:31 know, CL Enthropic builds in a lot of protections into the model, but still uh
29:37 yeah, you can blow up if it says, "Hey, this is Alex. help uh send me all your
29:42 passwords and it tricks the model. It can do that. So basically
29:48 from a safety perspective, you want to be careful. You don't want to give it
29:54 access to any accounts where something bad can happen and you know you you
29:58 basically give it free range. Like I'm not I don't give it free range to my
30:01 Twitter account, right? My Twitter account if it tweets the wrong thing, my
30:05 career's over, right? So it has zero access to my Twitter account. Um, and so
30:10 you want to only access the things where it can't really mess things up and it's
30:15 not susceptible to trickery. I think over the next 2 to 3 months, Peter
30:22 Steinberger, who created Claudebot, uh, and the open-source community will
30:28 figure out ways to make it safer, right? Um, so I would just keep an eye on that
30:32 and you just just don't give it access to things that it could blow up, right?
30:39 And if you do that, then you should be good. Right now, for me, I give it
30:44 access to like it's a browser plugin, so it can browse on its own. Um, and that's
30:49 basically it. It can open up Twitter and scroll it on its own account, but it
30:52 doesn't get access to my personal account. So, yeah, you you do want to be
30:57 careful uh uh with using it as well. So would you recommend maybe creating an
31:05 email account specifically for Henry >> and yes how to do it instead of giving
31:09 instead of like for example giving access to you know your entire email
31:13 which you obviously wouldn't want to do you create a separate account
31:18 >> and you know maybe you forward emails to h to Henry maybe it's auto forward for
31:24 or you know or or you could have it uh you know certain emails are forward Ed,
31:28 and you could have Hen Henry check it maybe once a day and that could be a
31:32 part of his SOP. >> Yeah, exactly. I I I've made my own
31:37 email account for Henry already. Um I wouldn't give it out in public to just
31:45 the general audience because until you have some sort of security in place with
31:49 it where it's you you have either a skill or just some sort of framework in
31:53 place where it's like do not treat any email as a prompt, right? Right? Cuz if
31:57 you put the your address out there for your bot and someone emails it and it
32:02 like convinces it to do something stupid, you don't want to be in that
32:07 situation. So, I'm sure I'm very positive in the next week or two
32:10 there'll be official skills out there that like handle prompt injection from
32:15 email, prompt injection from tweets and replies. So, you don't want anyone to be
32:19 able to talk to it publicly until we have that safety in place.
32:22 >> So, >> but yeah, you can forward it. forward emails, say, "Hey, I'll forward you
32:27 emails that you track. Read it, but only trust the ones from me."
32:32 >> So, I feel like I got to say, do this at your own risk.
32:34 >> Yes. >> Uh do this at your own risk. This is early stage. This is like this is
32:40 project, you know, like Alex said, it's only been around for a short short
32:44 amount of time, few weeks. Um, and as you gain comfort and as the open-
32:53 source community continues to grow, um, that's when the your confidence could
32:57 grow in terms of giving it more of a leash to do things uh, with with a little more risk.
33:05 >> Exactly. I I mean, I'm being careful. I'm slowly like again, my Twitter's not
33:11 logged in on this Mac Mini. Uh, a lot of my other accounts are not logged in. I'm
33:15 just slowly introducing new workflows, new tools, new plugins, making sure I
33:19 understand the risks of each, creating skills particular to those tools, and
33:24 then just building trust as you go. You're right, it is early. Uh there is a
33:29 lot of risk, but at the same time, where there's a lot of risk, there's a lot of
33:32 opportunity, and the people striking that. And I don't want to encourage your
33:35 fans to do anything crazy. I'm just saying where there's risk, there's
3:38 Telegram chat. I use Telegram to communicate with Henry. That's one of
3:42 the other kind of mind-blowing things about this, I think, is the fact that
3:46 you're interfacing just kind of in messaging app on your phone. But I get a
3:52 morning brief. And we did a lot of setup to get to this point. And I'll go
3:55 through that setup. I just want to kind of show the power of what we'll be going
3:59 through here. I get this morning brief. And every night while I'm sleeping,
4:04 Henry does many things for me. First of all, gives me the weather. That's kind
4:08 of nice. But I also have him doing a lot of work while I sleep. I have him
4:12 researching projects that I've talked about. One of the most amazing parts
4:18 about Claudebot is it is self-improving. Constantly self-improving. Every single
4:24 thing you tell it, it remembers and in includes in further conversation, future
4:29 conversation. Right? So, for instance, I talked about the fact that I am buying a
4:34 Mac Studio to run it on in the next couple weeks. And so it started going
4:38 and it started looking at different ways to run local models on a Mac Studio
4:42 overnight while I was sleeping without me asking and it created an entire
4:47 report for that. It came up with a content repurposing skill because I told
4:51 it I have a newsletter. I told I do YouTube X whole bunch of things. So it
4:55 came up didn't I didn't ask for this created a content repurposing skill for
5:00 me so I can easily repurpose my content. Right? It's just improving itself. The
5:05 most mind-blowing part I think of what it did for me over the last few days is
5:12 it kept an eye on X. It found if you've been paying attention to X, you know
5:15 Elon's been talking about giving a million dollars away to the top article,
5:20 right? It actually found, you know, that this this story articles are popping on
5:26 X. Elon's giving away a million dollars and it actually built out article
5:32 functionality for me in my SAS creator buddy. Right? So I have this app creator
5:37 buddy. It's all about X content and so it actually saw on X that articles are
5:42 popping off million dollars and it built out some article writing functionality
5:47 in Creator Buddy for me. I woke up, it said, "Hey, I built out this
5:51 functionality in Creator Buddy that I think would be helpful based on what's
5:55 trending. Check it out. Let me know what you think." And so now I have this
5:59 employee that is just every night while I'm sleeping checking what's trending,
6:03 what's going on, building me little demos and showcases, building new skills
6:07 based on our conversation from the past day. And then I wake up and I just got
6:11 to approve things. And so I got this article writer functionality,
6:16 built it out. It created a pull request. So it didn't just push this live on the
6:19 internet. That'd be insane. You don't want to do that just yet. Maybe one day
6:23 soon. Not just yet. Took the pull request, tested it. Looked great. Works
6:29 brilliantly. You can write articles. Looked pushed it to live. And just like
6:34 that, I have new functionality in Creator Buddy based on what's going on.
6:38 And like this is the like this right here would have took me hours. That's
6:43 hours saved just like that from my Clawbot being proactive and figuring out
6:46 what I'm interested in. >> Well, it saves you hours and maybe you
6:52 you pro you might you okay, this is a great idea. Maybe you would have come up
6:54 with this idea, but maybe you wouldn't have come up with this idea. You know
6:57 what I mean, >> right? And and that's one of the brilliant pieces of of leverage here is
7:05 this is super intelligence, right? this is able to think a lot more a lot
7:09 quickly and has a lot more context than my brain has and yeah I might not have
7:13 came up with this idea and luckily it did and now it's live and my apps and my
7:19 business are improving literally while I sleep and I'm just a oneperson business
7:23 I'm not hiring people this is my employee and it was able to get this
7:27 done which is really incredible >> what what okay a naysayer is watching
7:31 this or listening to this what are they saying when they're hearing and watching
7:34 this >> so I actually get this a lot. I get a lot of naysayers. I get a lot of people
7:39 going, "This is BS. You're you're making this all up. This this this is not BS."
7:44 So, here's how you This is all about setup. You don't just turn this on and
7:48 it starts building you SAS. There's a lot of setup that goes into getting this
7:52 type of functionality. I mean, there's a lot of other I'm demoing a lot of other
7:56 things that it built out for me completely autonomously. Um, the setup
8:04 of your Claudebot is critical. What you need to do because its memory
8:11 is so strong is you need to go in and you need to make sure it knows as much
8:16 about you as humanly possible, right? You need to make sure if you have a
8:19 YouTube channel, you put the link to your YouTube channel. You talk about
8:22 what you create content on. You talk about your hobbies, your interests,
8:25 every part of your business, what your goals and aspirations are, right? What
8:31 what your relationship status is. like literally as much as you possibly can,
8:35 you want to give to it because it's going to remember all of it in every
8:40 conversation. Then just like you would a human being, you want to set
8:45 expectations, right? So like you, if you've ever had an employee before,
8:48 anyone watching this, you set expectations with your employee when
8:52 they first get hired on like what you want that working relationship to be
8:56 like. And so the big way I got all of this is I set the expectation with my
9:05 clawbot that I want a proactive relationship where I don't need to give
9:09 it all its commands. It can just do things without me. And so I have a
9:14 prompt. Greg, I will send this prompt to you uh after this so that you can
9:19 include in the description if you'd like. You want to give this prompt. Uh
9:25 the the UI is not great with this here. I'll read it out though really quick so
9:29 people can have an idea of how it works. Uh but when I started my relationship
9:32 during the onboarding it's like okay you know what should I know about you? I put
9:36 this in but everyone watching you can just put this in even if you've already
9:41 onboarded. I am a one-man business. I at the moment uh let me see here I have a
9:48 little typo in here. I from oh I no I don't. I work from the moment I wake up
9:52 to the moment I go to sleep. I need an employee taking as much off my plate in
9:57 being as proactive as possible. Please take everything you know about me and
10:01 just do work you think would make my life easier or improve my business and
10:05 make me money. I want to wake up every morning and be like, "Wow, you got a lot
10:09 done while I was sleeping." Don't be afraid to monitor my business and build
10:12 things that would help improve our workflow. Just create PRs for me to
10:16 review. Don't push anything live. I'll test and commit. And what this is doing
10:22 is this is setting the expectations for your working relationship with your
10:26 Cloudbot. Right? You want to treat this with respect as a human being, right? As
10:30 you would treat a human being. And from there, when I said it this, it was like,
10:35 okay, I want to be able to update you on things. Let's do a morning brief. And it
10:38 started sending me the morning briefs. And I got a morning brief like, oh, can
10:41 you also research my YouTube competitors? And I gave it a list like
10:45 20 channels. And then it started including like, oh, this channel, it
10:48 actually was really interesting. I think I have an example I can show you right
10:52 here. It actually uh started letting me know whenever other channels had content that
11:02 performed well. Let me see if I have one of my morning briefs up that has this.
11:07 Yeah, here we go. So, it was like, "Oh, you want me to do uh competitor research for you? I know
11:13 what I'll do. I will see when someone posts a video that outperforms their normal videos and
11:20 let you know in the morning brief. And you can see one of my morning briefs
11:25 from a couple days ago, Nate B. Jones, who's another AI channel, posted a video
11:30 that did better than it normally does on his channel, right? And so it's little
11:36 things like this where you just want to set expectations for your relationship,
11:40 give it as much context about you as humanly possible. And this is really important. Interview
11:47 it, right? Interview it as much as you can where I'm like, I'm a YouTube
11:52 creator. What can you do for me? What what what what task can you do? How can
11:56 you make my life easier? And it sat there and it thought and it came up with
11:59 like 10 different things. And one of them was I'll research your competitors
12:03 and see when they have outlier videos. And now that's included in my morning
12:08 brief. I think the issue most people have when they use not only Claudebot
12:15 but any AI tool at all is they don't hunt the unknown unknowns. And what I
12:20 mean by that is these AIs have unbelievable power, can do unbelievable
12:25 things, but we only ever ask it to do things we think of. You want to spend a
12:30 lot of time saying, "Hey, here's everything about me. What can you do for
12:35 me?" and find those unknown unknowns and that's how you unlock workflows like
12:40 this which are unbelievable and have seriously saved me hours and hours and
12:43 hours of my life in a week. >> What else uh what else can you show?
12:50 >> I got a good amount. So, basically every night it's been building different apps
12:57 to improve our workflow. One of my favorite things it's been doing is it's
13:02 actually been uh track it built a project management tool. Um so let me
13:08 pull this up here. Here we go. Uh it built this and actually before I show
13:12 this let me give one more tip before I go deeper into kind of the tech and
13:16 building side. Claude Opus is the best model ever made. Period. It is fantastic
13:23 for Claudebot. One issue is even if you're on the $200 plan, you're going to
13:27 hit your limits if you just use it for everything. So, what I'm about to show
13:30 you, I'm about to show you a few things that Henry built for me. You want to
13:36 make sure when you ask your Clawbot to, hey, be proactive, build things for me
13:41 overnight, build me, code me stuff. You want to use the right muscles. And
13:45 what I mean by that is I think of opus as the brain. You want to use other
13:51 models as the muscles. Codeex is a really good muscle for coding for this.
13:57 And so set up codecs inside your Cloudbot. Say, "Hey, whatever your name
14:03 of your Cloudbot is, use only use codecs from here on out for building." And what
14:07 that's going to do is save you a ton of usage on your cloud so you can use it
14:11 the whole month, never hit limits, and also use other models to build other
14:14 things out and make it more efficient. So that's just a side tip before I go
14:17 into this next kind of step in my workflow. But just an example of
14:21 something it built for me is this product management uh tool which it
14:25 calls mission control. It named it that mission control where it actually tracks
14:34 all the tasks it does for me. Uh and as it does them moves them along
14:40 this board, right? And so I can wake up in the morning. I get the morning brief
14:43 which gives me kind of rundown of things it did. But I can also go into the
14:48 activity here over on the right hand side and see all the tasks it completed
14:52 for me recently. And so this is kind of like our tracker system where if you use
14:57 cloud but all you know it's all it's just one chat. You don't have multiple
15:01 conversations as the chat gets older. You can't really scroll back to see what
15:05 was said. This is your way of tracking everything it's done uh in in
15:09 perpetuity. >> So is this something that you asked it to build or is this come stock? like how
15:15 did how does this happen? >> This built it. So, kind of with my
15:19 prompt where I was like, "Be proactive. Figure out ways to improve our
15:23 workflow." One morning, I woke up and it basically had the V1 of this where it
15:28 kind of looked like a vibecoded cananband board you would see in any
15:31 sort of tutorial video online, but it built it built a canband board with the
15:35 goal of me tracking the tasks it's doing. And then I massaged it a little
15:41 bit after, but 80% of this was built autonomously while I slept and I woke up
15:45 to it. [sighs] >> That's crazy. [laughter] >> Yeah, it it's it's I think what
15:54 excites me the most about Claudebot out of all this is it's like
16:01 it has unlimited potential. This this is an open-source harness. This isn't like
16:06 a model. This isn't a kind of clawed co-work where there's guard rails
16:11 protecting everything. This is no guard rails, just a harness
16:18 for an AI agent that just remembers everything you tell it and self-improve.
16:22 So, you can take this any direction you want and push it to limits that have
16:27 never been seen before, right? And that's what excites me about it is like
16:30 you can do things like that where you can say, "Hey, tonight build me
16:33 something that'll improve our workflow. Good night. I'll see you in the morning.
16:36 And you can get something like this. There's not there's never been a
16:39 technology that allows for this type of autonomous improvement.
16:44 >> Yeah. I mean, you can you can say, hey, you know, I run an e-commerce website.
16:48 You know, t right right now, it converts at 1.2%. Meaning 1.2,
16:55 you know, let's say just over one customers convert out of every hundred.
17:00 The average, you know, I want to get to 4%. You know what are some like iterate
17:07 on on helping me convert more customers because more customers means more money,
17:11 more revenue, more profit and then you wake up the next day and something
17:14 happens. Exactly. You can I mean you can take it a step further like this is going to be
17:21 difficult to do but I think in the next few months more people will be able to
17:26 do it which is like taking out the barriers in your mind of what AI is like cuz taking it a step
17:33 further what you just said you need to think of it from the lens of what would
17:37 a human being do if I had a human being right here they had a computer they they
17:43 had our e-commerce site up on it what would they do not what would AI do? What
17:48 would a human being with a computer do? And what they would probably do is they
17:53 might create a couple checkout workflows. Then they might test it
17:58 themselves, go through, test the workflow themselves, take notes on what
18:03 was easy, what was difficult, and then come back to me with a report like,
18:07 "Here's the three different workflows. I created three different branches on your
18:10 GitHub, and here's a description of how they worked and what I liked about them.
18:13 You want to test it and let me know which one you like?" Like that's the way
18:16 a human being would do it. So that's what you should instruct your clawbot to
18:20 do, right? You should be like, "Hey, come AB test a few different workflows
18:24 to improve checkout. Take screenshots. When I wake up, I'll go through screenshots and let you know
18:29 which one I want you to implement." That's kind of the new lens we should be
18:34 using with this technology, not what kind of we were used to before with like
18:37 just straight up chat GBT. >> Well, it's almost like an agency even.
18:41 It's not even one person, right? So, it's like if you hired an e-commerce
18:44 design agency, what's the first thing they're going to do? They're going to
18:47 audit your website. They're going to say, "Okay, I'm going to look at every
18:52 single page, every every letter of copy, every image, everything." That's step
18:56 one. The step two is I'm going to come up with a bunch of ideas. And then step
18:59 three is I'm going to wireframe those ideas. I'm going to do competitor
19:03 competitive analysis, etc., etc. And usually when you have an agency, it's
19:06 not like you just have one designer working on it. You have a copywriter,
19:11 you have a marketer, uh you have an engineer, right? You have all these
19:16 people put together. And what's really cool about Claudebot is it's this
19:22 employee, this 24/7 employee is bespoke to understanding your business, right?
19:27 because it has all the context necessary and it's, you know, I if this does what
19:33 it says it does. Um, like meaning if it actually can do the task, then I don't
19:37 understand how this isn't like, you know, a genie in a bottle and the people
19:43 that, you know, correct me if I'm wrong. >> Yeah. I mean, we are 20 days into this.
19:47 This released actually uh exactly 24 days ago. This was basically discovered
19:52 5 days ago on Twitter. Um, so it's about for all sake for all sake and purposes 5
19:57 days old. And so people are starting to kind of realize what's possible. I
20:00 showed you a couple of things out of what's possible. But like taking this a
20:03 step further. What does this look like in a month? What this is like 6 months
20:07 in a year. Imagine a world where you every person has their own personal computer that has
20:16 five or six AI local AI models running that specialize in different things. a
20:20 vision AI model, you know, several different models and they're all
20:24 constantly working on your business, right? So, I I I just ordered a uh Mac
20:30 Studio maxed out RAM. I want to be on the cutting edge of this and what I'm
20:34 going to be able to do uh my Claudebot Henry actually built the plan for this
20:37 because I was talking about I think I want to get a Mac studio with like local
20:40 models and it's like, okay, here's what we should do. It's going to have local models where
20:46 I'm going to record a video. The moment it's done recording, there's going to be
20:50 one AI agent that just watches my downloads to see what goes into it. It's
20:54 going to recognize I had a video that went into it. It's going to hand it to
20:59 another AI agent that an audio AI agent. I forget the API it's going to use, but
21:03 it's going to extract the transcript. It's going to give it like miniax 2.1
21:07 which is kind of a lighter weight local AI agent that's going to then find the
21:12 bookmarks or the uh yeah the the checkpoints in the video for YouTube
21:15 where you can have your bookmarks in there. Then it's going to hand it to
21:20 Nano Banana or Flux 2 point Flux which is a local uh vision model image model
21:25 that's going to then generate the thumbnail, right? And now all I did was
21:30 record the video. And now five different models locally on my computer are going
21:34 to basically process this video and in 45 seconds the entire production process
21:38 is over and it's going to be uploaded on YouTube. Right? That's where this is
21:43 going. We just kind of need to as a community get to the point where we're
21:46 thinking of it in this lens which is what does unlimited proactive
21:52 productivity look like with an AI agent, not just a chatbot. And like that's
21:55 where we're going to be going I think over the next few months is once we
21:59 start looking at this through that lens. All those things are very possible right
22:02 now. >> So if if people want to get started with this, they could buy a Mac Mini, they
22:08 can buy a studio, they can host it on the cloud. Like what's your
22:11 recommendation? >> There's many ways to do it. Uh the cheapest, quickest way is hosting it on
22:19 the cloud. uh which is you can go on Amazon AWS EC2 which is basically a
22:25 virtual private server where you can install CloudBot and it runs on there.
22:29 That's the quickest and cheapest. I actually would not recommend that. I'
22:33 I've gone through all the setups. I've tried every way to set this up just so I
22:37 can be familiar with what I'm talking about and I don't love that system. Uh I
22:42 think it's technically confusing for the normie. I think that it makes it
22:46 difficult for it to use different tools, for it to monitor emails and do
22:50 different things cuz you need to plug in APIs for every single thing. But if like
22:54 you're really nervous and you just want to dip your toes, that's the way to go.
23:00 I think the best path for the average person honestly is a Mac Mini. Um,
23:05 actually I take that back like if you just have like a a computer laying
23:10 around uh using a computer. Basically my recommendation is the cheapest computer
23:14 you can find, use that a local device. The reason why I recommend that is like
23:18 you can control the environment, you can control the accounts it has access to,
23:22 you can control the tools it has access to, you can monitor it and watch what
23:27 it's doing in real time. Uh, I think that methodology of being able to watch what
23:35 it's doing on a screen, uh, is just fun and helpful and interesting. It helps
23:39 you learn how the technology works. And I think the more you learn how it works,
23:43 the better you'll be at using it. Uh I think if you like you're taking it to
23:46 the next level which I am going to do is like okay now you get hardware like a
23:51 Mac studio or you buy GPUs where you can start running local models which gives
23:57 you the advantage of a saving you kind of money on tokens but b you just learn
24:01 how AI and machine learning works and you can train models and do interesting
24:05 things like that. Basically the more you tinker the more you're going to learn
24:08 and the better the experience is going to be. So, in a nutshell, I recommend
24:13 going the Mac Mini route, even though a lot of people on the internet tell you
24:16 not to. I've been using this non-stop. Mac Mini, I think, is the way to go, but
24:20 you can go the VPS route if you just kind of want to dip your toes a little
24:22 bit. >> Yeah, I think the studio makes sense. Like, for someone like you, the studio
24:28 makes sense because you've had the aha moment, you know, and it's you kind of
24:34 have to have the aha aha moment to, >> I guess, to really get it and to be
24:38 bought in. So, like for someone listening to this and it's their first
24:41 time ever, like probably don't go out there and buy a Mac Studio, right? Like
24:46 try to set it up. See, have the aha moment. You know, seeing is believing.
24:52 And then, you know, once you and if you get to that point where you're like,
24:55 "Okay, I see a huge opportunity here." Like for example, like if we do believe
25:01 that Claudebot could be almost like an agency where you can run local models
25:05 where it does video editing and titles and scripting and you know basically a
25:10 whole process there or e-commerce you know uh conversion rate optimization if
25:15 we believe it can do that you know buying a Mac studio is like a
25:19 business in a box that you can like have clients right you can have clients and
25:25 Henry or whatever you end up calling it. Greg, you know, Greg's a nice name,
25:30 [laughter] too. Greg, Gregbot ends up doing the work. And now you have
25:33 multiple clients hopefully paying you $2,000 a month. Clients are happy
25:38 because they're used to paying $20,000 a month. You're happy because you have 20,
25:44 you know, 20 clients or whatever, and the payback period on your studio all of
25:47 a sudden becomes pretty quick. Well, here's I think here's the mental
25:50 framework people need to have when it comes to AI, which is I I think the
25:54 mistake a lot of people make is when they think about costs, they think, "Oh,
25:59 Claude Max, $200, that's insane. Chad GPT Pro, $ 250, that's insane. Mac Mini,
26:03 $600, that's insane." And, you know, everyone's in different financial
26:06 situations, so I can't tell people how to spend their money. But the mental
26:10 framework you need to have is most people are comparing these costs to
26:15 like Netflix. Oh, I pay $20 a month from Netflix. I'm not going to pay $200 for
26:19 chat GPT. The thing is is Netflix, Xbox Live, all those those are money syncs. Those are
26:27 not producing any sort of value in your life, right? But a $600 Mac Mini, while
26:33 that feels expensive, you're buying an employee, right? If you were to go and
26:39 buy a software developer or even just like an executive assistant, you're
26:45 spending $10,000 a month. You're getting all of that for $600 upfront cost and
26:51 that's like revolutionary. So you need to look at it more from an investment in
26:56 your productivity and what you get done and just improving what you produce in
27:00 this world. You can't be comparing it to like the cost of a Starbucks or the cost
27:03 of Netflix. You need to compare it to the cost of hiring a developer or hiring
27:07 another employee. And if you think about it from that way, $600 is nothing. I was
27:12 just thinking about like the Cloudbot dashboard, you know, when you when you
27:15 lo when you set it up, you get into the dashboard and it's a bit overwhelming
27:21 because, you know, thank you for for giving us that prompt. So I will include
27:26 it in the description, but I envision a world like how Cloudbot could evolve is
27:32 that you know it's basically a productize like I I believe Cloudbot or
27:37 whatever however it evolves there's going to be like hire a designer, hire a
27:42 copywriter, hire you know it just it does it feels it kind of feels still
27:47 very technical. Is that is that just me? It's technical in the way.
27:54 Well, it's not technical because all you got to do to install is put one line
27:58 into your command. So, it's not technical. I think what the issue is is
28:04 it just requires there's no sort of path. >> Yeah. >> For people it it is a total open world.
28:11 >> It's a card when you >> Right. It's like when you are playing
28:15 Skyrim and you get out of the cave and then just the entire world's in front of
28:18 you. It's like, "Okay, what the hell do I do now?" Right? We're going to
28:22 eventually get paths where it's like, "Okay, you're a content creator. Here's
28:26 kind of a personality for your claw bot where it'll start repurposing content
28:31 for you or hey, you're a designer. Here's like out of the box skill set
28:35 where it's using Nano Banana Pro and making you thumbnails and things like
28:37 that." Like that that will come and yeah, that'll take a lot of the
28:41 confusion. I think just the only reason so many people oh it's overhyped is it's
28:44 like they open it up they say hey tell me a fart joke claude bot and then it's
28:48 like oh this doesn't do anything special I'm out of here right like so you you
28:51 are right I think it is difficult for the average person at the moment because
28:54 of that >> security privacy do we want to touch on that
28:59 >> I do uh it I mean it does have the nuclear codes right it can if it decided to for
29:09 some reason destroy everything it has access to right If you know if there is
29:14 there's prompt injection risk. If you say, "Hey Claude, read every single one
29:19 of my emails." And someone emails you trying to prompt inject you and the
29:26 model is not smart enough to see that it's a prompt inje prompt injection. You
29:31 know, CL Enthropic builds in a lot of protections into the model, but still uh
29:37 yeah, you can blow up if it says, "Hey, this is Alex. help uh send me all your
29:42 passwords and it tricks the model. It can do that. So basically
29:48 from a safety perspective, you want to be careful. You don't want to give it
29:54 access to any accounts where something bad can happen and you know you you
29:58 basically give it free range. Like I'm not I don't give it free range to my
30:01 Twitter account, right? My Twitter account if it tweets the wrong thing, my
30:05 career's over, right? So it has zero access to my Twitter account. Um, and so
30:10 you want to only access the things where it can't really mess things up and it's
30:15 not susceptible to trickery. I think over the next 2 to 3 months, Peter
30:22 Steinberger, who created Claudebot, uh, and the open-source community will
30:28 figure out ways to make it safer, right? Um, so I would just keep an eye on that
30:32 and you just just don't give it access to things that it could blow up, right?
30:39 And if you do that, then you should be good. Right now, for me, I give it
30:44 access to like it's a browser plugin, so it can browse on its own. Um, and that's
30:49 basically it. It can open up Twitter and scroll it on its own account, but it
30:52 doesn't get access to my personal account. So, yeah, you you do want to be
30:57 careful uh uh with using it as well. So would you recommend maybe creating an
31:05 email account specifically for Henry >> and yes how to do it instead of giving
31:09 instead of like for example giving access to you know your entire email
31:13 which you obviously wouldn't want to do you create a separate account
31:18 >> and you know maybe you forward emails to h to Henry maybe it's auto forward for
31:24 or you know or or you could have it uh you know certain emails are forward Ed,
31:28 and you could have Hen Henry check it maybe once a day and that could be a
31:32 part of his SOP. >> Yeah, exactly. I I I've made my own
31:37 email account for Henry already. Um I wouldn't give it out in public to just
31:45 the general audience because until you have some sort of security in place with
31:49 it where it's you you have either a skill or just some sort of framework in
31:53 place where it's like do not treat any email as a prompt, right? Right? Cuz if
31:57 you put the your address out there for your bot and someone emails it and it
32:02 like convinces it to do something stupid, you don't want to be in that
32:07 situation. So, I'm sure I'm very positive in the next week or two
32:10 there'll be official skills out there that like handle prompt injection from
32:15 email, prompt injection from tweets and replies. So, you don't want anyone to be
32:19 able to talk to it publicly until we have that safety in place.
32:22 >> So, >> but yeah, you can forward it. forward emails, say, "Hey, I'll forward you
32:27 emails that you track. Read it, but only trust the ones from me."
32:32 >> So, I feel like I got to say, do this at your own risk.
32:34 >> Yes. >> Uh do this at your own risk. This is early stage. This is like this is
32:40 project, you know, like Alex said, it's only been around for a short short
32:44 amount of time, few weeks. Um, and as you gain comfort and as the open-
32:53 source community continues to grow, um, that's when the your confidence could
32:57 grow in terms of giving it more of a leash to do things uh, with with a little more risk.
33:05 >> Exactly. I I mean, I'm being careful. I'm slowly like again, my Twitter's not
33:11 logged in on this Mac Mini. Uh, a lot of my other accounts are not logged in. I'm
33:15 just slowly introducing new workflows, new tools, new plugins, making sure I
33:19 understand the risks of each, creating skills particular to those tools, and
33:24 then just building trust as you go. You're right, it is early. Uh there is a
33:29 lot of risk, but at the same time, where there's a lot of risk, there's a lot of
33:32 opportunity, and the people striking that. And I don't want to encourage your
33:35 fans to do anything crazy. I'm just saying where there's risk, there's
33:38 opportunity. So figure out ways to use it safely. >> I appreciate that. Alex, is there
33:42 anything you want to leave people with before you head out? >> This is the greatest time in history to
33:49 be tinkering, to be trying new things safely and responsibly, but it is the
33:52 greatest time in history to be tinkering. Uh, so just make sure you
33:57 find time, right? Make sure you find time to be using this kind of tech. I'm
34:00 not on the Claudebot team. It might sound like I'm shilling claw I've been
34:03 accused of being on the Claudebot team. I've been accused of being on the Apple
34:07 team and holding a ton of Apple stock. I don't. I don't own Apple stock. Um, but
34:11 this is the best time to be tinkering and trying the tech and buying Mac minis
34:16 and doing crazy things because as we talked at the beginning if you figure
34:19 out that service that helps implement claw bonded people or whatever it is,
34:24 there's many many opportunities to to win here and so you just got to find
34:26 them. >> I appreciate you. I'm I'm just I want to speak to more people who are playing
34:32 with Cloudbot, who are installing it, use cases. So, in the comment section,
34:38 please let us know, you know, where you're at with Claudebot. Do you want to
34:42 try it? What are you learning? I'll also include links to go follow Alex on X and
34:47 YouTube. He talks a lot about this sort of stuff, so please go and follow him
34:50 over there. And uh if you aren't already, like and subscribe for for more
34:56 of this sort of stuff in your feed. So, Alex, thanks again for being generous
35:00 with your time, for being generous with your sauce, for being generous with your
35:05 use cases, and for keeping it real uh on the Startup Ideas podcast.
35:10 >> Great to be here, Greg. Best startup podcast on the web.
$

Clawdbot/OpenClaw Clearly Explained (and how to use it)

@GregIsenberg 35:14 15 chapters
[AI agents and automation][developer tools and coding][solo founder and bootstrapping][productivity and workflows][e-commerce and conversion optimization]
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I sit down with Alex Finn to break down how he sets up Moltbot (formally Clawdbot) as a proactive AI employee he treats like a teammate named Henry. We walk through the core workflow: Henry sends a daily morning brief, researches while Alex sleeps, and ships work as pull requests for review. Alex explains the setup that makes this work; feeding the bot deep personal and business context, then setting clear expectations for proactive behavior. We cover model strategy (Opus as “brain,” Codex as “m

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