0:01 It has been four months since the most
0:05 powerful AI tool ever, OpenClaw, has
0:07 released, and a lot has changed. In this
0:09 video, I'm going to go over every single
0:12 Open Claw concept, lesson, and update
0:14 from the last 4 months. Whether you are
0:16 brand new and have no idea what OpenClaw
0:18 is, or you're a pro, you're going to
0:20 learn something in this video, and by
0:22 the end, you're going to be a stone cold
0:23 expert. This is basically going to be
0:26 the only unsponsored OpenClaw video on
0:28 the entire internet. So everything I go
0:30 through on here is going to be unbiased
0:32 and true. There's not going to be a
0:34 single hosting jur shill at all. Feel
0:36 free to skip around below if you're
0:38 already familiar with OpenClaw and want
0:40 to see different concepts. But with that
0:42 being said, you are about to master the
0:45 most important software release of all
0:46 time. Now, let's lock in and get into
0:49 it. OpenClaw is the greatest AI agent
0:52 automation tool of all time. What you're
0:55 seeing right here is my team of openclaw
0:57 agents all working autonomously for me
0:59 as we speak. This is my little software
1:01 factory where I currently have four open
1:04 claws working on my SAS creator buddy.
1:06 You can see the task they're working on
1:08 down below in real time. They're
1:09 building out different components to
1:11 Creator Buddy. They're doing different
1:13 pieces of research. They're finding what
1:14 they should build next. They're
1:16 reviewing each other's code. It is a
1:19 fully automated pipeline. This isn't a
1:20 coding tool, although you could use it
1:22 as a coding tool. What I'm showing you
1:25 here is a coding tool, but I also do a
1:26 ton of other things with OpenClaw. But
1:28 the point in me showing you this is to
1:30 show you the power of what you can do
1:33 with OpenClaw. Hiring your own AI
1:35 workforce to do whatever you want. If
1:37 you want your open claws going out and
1:39 doing research for you, you can do that.
1:40 If you want your open claws going out
1:42 automating businesses, you can do that
1:44 for you. This is giving the individual
1:46 the leverage of hundreds if not
1:49 thousands of people. And that's why I
1:51 think this is the most important AI tool
1:52 of all time. So, what I'm about to do is
1:55 go over what Open Claw is, why it's so
1:56 important. Then, we're going to go into
1:58 setting it up. We're going to go into
2:00 saving money with it, which models you
2:01 should be using. We're going to go into
2:03 use cases so you can start getting value
2:04 out of it right away. We'll go through
2:06 security, the big thing everyone's
2:08 worried about. Is it secure? Can it leak
2:10 all your passwords and nudes? We'll find
2:12 out in a second. Do you need to buy a
2:14 Mac Mini? Do you need to buy a Mac
2:16 Studio? We'll find that out as well. And
2:18 I'll even go over what I think OpenClaw
2:20 is going to be a year from now, which
2:22 you want to stick around for as well.
2:23 So, let's talk about real quick what
2:25 OpenClaw is and why it's different than
2:28 like chat GPT. Before, when you were
2:30 using chat GPT or any other AI chatbot,
2:32 you were asking questions and getting
2:34 answers, right? It's basically like a
2:36 glorified search engine. That has
2:38 changed with OpenClaw. Now, instead of
2:40 asking questions and getting answers,
2:43 you give it a goal, you receive a
2:46 result, and it iterates, right? It's an
2:48 AI agent that takes action. You give it
2:51 goals, it does things for you, then it
2:52 improves and gets better and does it all
2:55 again. That is a massive shift in how AI
2:57 works and why I believe this is the
2:59 greatest AI tool of all time. It goes
3:02 from a chatbot to an employee. So,
3:04 instead of like it being a glorified
3:06 search like Google, it's now an employee
3:09 that works for you. It's self-improving,
3:11 so as it does things, it learns skills
3:13 on the fly, so it can do things better.
3:15 It gets smarter every day. It gets
3:17 smarter every time you talk to it. It
3:19 has a body, so it can use your computer.
3:21 Anything a human being can do on the
3:23 computer, it can do as well. It can
3:24 browse the internet. It can go on
3:26 different websites. It can sign up for
3:27 things for you. It can write code. It
3:29 can message people for you. Can write
3:31 emails. It can organize your files.
3:32 Anything you need to do on your
3:34 computer, it can do for you. It's like
3:37 your own personal employee. And it has
3:40 agency. It works 24/7 autonomously. I
3:43 showed you my SAS factory a second ago
3:45 where just I have multiple agents going
3:48 247 working for me. You can do the same
3:50 thing with this. You can have your own
3:53 personal autonomous organization working
3:55 for you. It can decide what to do on the
3:57 fly. It can be proactive. It figures
3:59 things out to do. It can monitor the
4:02 web. It can scan for new news. It can
4:05 act without being asked. It has agency.
4:08 These are three things no other AI tool
4:11 in history has ever had. And finally,
4:13 Open Claw has it. And on top of all of
4:17 this, it is completely open source,
4:19 meaning you can customize it any way you
4:21 want. It's not walled garden like Claude
4:24 Co-work where you can only use specific
4:26 models or tools. You can customize this
4:27 any way you want, which is really
4:29 amazing. And my favorite part about this
4:32 too is it lives where you live, right?
4:34 You don't need to go to chatgbt.com or claude.ai.
4:36 claude.ai.
4:38 It's all in iMessage or Telegram or
4:41 WhatsApp or Discord. Where you live now,
4:43 you can work out of and communicate with
4:45 your agent. I can text my agent right
4:47 now on Telegram and say, "Hey, go build
4:49 me this app." And it will be on my
4:50 computer building the app right away.
4:52 So, that is another amazing part about
4:55 this. This is why everyone needs to
4:57 learn this tool because as an
4:59 individual, you've never had so much
5:01 power in your life. It's like you have
5:03 an entire company working for you which
5:05 is amazing. So before we install
5:07 openclaw we have to decide what we are
5:09 going to install it on. And this is
5:11 where I think the most misinformation is
5:13 spread on the entire internet. I think
5:17 like 99% of openclaw tutorials tell you
5:19 to install this on a VPS specifically
5:21 hosting. And what's crazy is a few
5:24 things here is one these are all paid
5:26 for videos. I was reached out to by
5:29 Hostinger. offered $30,000 for me to
5:31 show them on YouTube. All these creators
5:32 telling you to use Hostinger with this
5:35 one are misleading you because OpenClaw
5:38 is not better on a VPS. It's objectively
5:40 not better. It's objectively
5:43 significantly worse on a VPS. You should
5:44 not be using this on Hosting Jer. So,
5:46 one, they're misleading you, which is
5:48 crazy. Two, none of them are actually
5:50 using it on Hosting Jer. I've talked to
5:52 many of them. Zero of them actually use
5:54 it. They're telling you to use Hosting
5:56 Jer and none of them are actually using
5:57 it on Hosting Jer, which I think I don't
5:59 know, maybe should be illegal for them
6:00 to recommend. They're not actually doing
6:02 it. But anyway, it doesn't matter. This
6:03 is not a sponsored video, so everything
6:05 I'm going to tell you here is unbiased
6:07 where you should be running OpenClaw.
6:09 You should be running this on just
6:11 literally any computer, any computer you
6:13 have. It doesn't need to be a Mac Mini.
6:15 I think I somehow over the last couple
6:17 months became the Mac Mini guy, and
6:19 that's fine. I'm happy being called the
6:21 Mac Mini guy, but you don't need to run
6:23 this on a Mac Mini. I like it on Mac
6:25 minis because I think a Mac Mini is the
6:26 best device in like computing. I think
6:28 it's the best value for the dollar. But
6:30 you don't even need to do that. If you
6:33 go to your closet and get your dusty ass
6:36 $20 laptop from college and put it on
6:38 there, you can run Open Claw on there.
6:40 If you want to get the MacBook Neo, you
6:42 can run there. You don't need to run out
6:44 and buy a Mac Mini or a Mac Studio to
6:46 run this. You just put it on any device
6:48 and it works totally fine. Now, towards
6:50 the end of the video, I'll go through
6:52 future state where I think all this
6:54 technology is going and and I'll tell
6:56 you why having awesome hardware like a
6:59 Mac Studio or a DGX Spark might be a
7:01 good idea a few months from now. But
7:03 right now, just getting started, all you
7:05 need to do is just install it on any
7:07 computer you already have. And yes, I
7:09 have it on my main computer. I have it
7:11 on the main computer I use at all times.
7:12 Also, later in this video, we'll go
7:14 through security as well and how to keep
7:16 it safe. But whatever you do, do not
7:18 listen to the people getting paid
7:20 thousands of dollars telling you to put
7:23 it on a VPS. Do not put it on a VPS. It
7:26 is less secure. It is harder to use. It
7:28 is less powerful. It is just worse in
7:30 every single way. So, next I'm going to
7:32 now take you through how to install this
7:34 on any computer. And again, if you're
7:35 already a pro and you already have it
7:36 installed, feel free to skip around down
7:38 below to another part of the video. So,
7:40 let's talk about installation. Everyone
7:42 in their mothers is making open claw
7:43 wrappers right now that claim they're
7:46 easier to install or work with. Just for
7:48 the record, I don't understand why
7:49 people are trying to make the
7:51 installation easier. Like, it's some
7:53 really confusing setup. It's literally
7:55 just one line you put into your
7:58 terminal. So, go to openclaw.ai
8:00 and copy this line right here. And just
8:02 for the record, if you're looking for
8:03 like rappers to make installation
8:05 easier, have a little faith in yourself.
8:07 You can do this. What I'm about to show
8:09 you is unbelievably easy. believe in
8:11 yourself. You can do what I'm about to
8:12 show you. So, you copy this line. We're
8:14 going to open up our terminal. So, if
8:17 you're in Mac, do command space and type
8:19 in terminal and hit enter. If you're on
8:21 PC, I think it's the what the command
8:22 line or something. You can do this on
8:24 Mac or PC. Doesn't matter. So, do that.
8:27 Open that up. Here we go. You paste in
8:30 the line. You hit enter and it installs
8:32 OpenClaw for you. Was that too
8:34 difficult? Did you need to download an
8:36 OpenClaw wrapper to do that? Have a
8:38 little faith in yourself. This isn't
8:39 rocket science. This is pretty easy
8:41 here. Once you do that, it's going to
8:43 take you through onboarding, which again
8:44 is not that difficult. Say you
8:47 understand this is risky. You hit yes.
8:48 We're going to go through quick start
8:50 onboard mode. So, here we go. This is
8:52 where we're going to start talking about
8:53 some updates here. We're going to talk
8:56 about which models to use. So, you can
8:58 choose pretty much any AI model you
8:59 want. Let's talk about which are the
9:01 best and which give you the most value.
9:06 The best is anthropic. Claude Opus 46 is
9:09 by far and away the best AI model for
9:11 OpenClaw. It's the smartest. It has the
9:13 most personality. It gets the most done.
9:15 You give it a task, you can be very
9:16 confident that the task will get done.
9:18 But here's the issue with Anthropic is
9:22 they don't want you using your Anthropic
9:24 account with Open Claw. For those who
9:25 don't know, when you use an AI model
9:28 like Claude, you have two options. The
9:32 API or your OAP. API being the kind of
9:34 pay as you go toll booth where you plug
9:36 in an API key and you pay every time you
9:39 use it. The OOTH being like your account
9:42 where you pay like $200 a month. When
9:44 you pay $200 a month, you're actually
9:47 getting like $15,000 worth of tokens.
9:49 They're subsidizing your tokens. They
9:52 don't want you using their subsidized
9:55 tokens in other people's tools. So
9:56 that's why there's been a lot of
9:58 hullaloo around anthropic banning people
10:00 for using this. Now, I'll just say this.
10:02 There are a few people getting banned
10:05 for using their anthropic OOTH with
10:07 OpenClaw. I know significantly more
10:10 people not getting banned by using their
10:12 OOTH with OpenClaw. So, it's up to you
10:14 if you want to take the risk. The
10:16 downside is if you get banned, you can
10:18 just sign up for another account,
10:20 another email address, or just use
10:22 another AI tool that's not banning
10:24 people for using their own tools. But I
10:26 will say this, I'm not going to
10:29 recommend breaking Anthropic's terms of
10:31 service on this video,
10:35 but most people I know using it are not
10:36 getting banned and you are going to get
10:39 the most usage for the best price. So if
10:40 you want to use the best model for the
10:42 best price, you could take the risk and
10:45 use your Anthropic OATH. Otherwise, you
10:48 can use anthropic API key, which you
10:50 will pay significantly more money cuz
10:52 you're paying for every use, but you're
10:54 getting the best model without the risk
10:56 of getting banned. Getting an API key is
10:59 super easy. Just Google Anthropic API.
11:00 Sign up for that and they'll give you an
11:02 API key you can plug in here. So, this
11:05 is if you want the best model and model
11:07 is important because it makes open claw
11:10 smarter. It helps it get more done and
11:12 it makes it a lot more fun to talk to.
11:13 So, that's the expensive and best
11:16 option. Next is like kind of the medium
11:18 price and medium performance option, and
11:22 that's Open AI. Chat GPT 5.4 is what I
11:25 believe to be the smartest AI model
11:27 ever. And what's even better of a
11:29 positive thing on top of that is OpenAI
11:32 is actively encouraging people to use
11:35 their OOTH with Open Claw. So, for $20 a
11:38 month, you can get a ton of usage and
11:40 you're not risk getting banned. Here is
11:43 the one downside though. Even though I
11:47 think Chad GPT 5.4 is the smartest model
11:50 out there. It's just not built for AI
11:53 agents. I've tested it with OpenClaw.
11:56 It's really smart, but it just doesn't
11:59 get things done quite like Claude does.
12:02 When you give Claude Opus 46 a goal, you
12:05 can be basically 100% certain it's going
12:07 to accomplish that goal and you won't
12:09 have to handhold it along the way. With
12:11 54, when I give it a goal, it's
12:14 accomplishing the goal I give it in one
12:18 shot like 20% of the time. The other 80%
12:19 of the time, it's just getting tripped
12:21 up and needs help from you or just gets
12:23 blocked. The way I like to think about
12:25 it is you can chop off Claude Opus' leg
12:28 and it will crawl across the finish line
12:31 for you. But if you stub chat GPT 5.4's
12:33 toe, it will just roll over and die in
12:36 the middle of the race. It just for some
12:38 reason struggles with crossing the
12:41 finish line. So, if you want kind of the
12:43 less expensive but still pretty good
12:46 option, Open AI is the way to go. If you
12:48 still want to save a lot of money on top
12:50 of that, so you want to go the ultra
12:53 cheap option but still decent usage,
12:55 still decent power, you can do a number
12:57 of things here. You can go with one of
13:01 the Chinese models. So, Kimmy K2.5 is a
13:05 very solid model. MiniAX is a very solid
13:07 model. It's even recommended by Peter
13:08 Steinberger. if you want. You're going
13:11 to get this for like you can do a $10 a
13:12 month plan. So you're paying like next
13:15 to nothing. Is it going to be as good as
13:17 Claude? No. Is it going to be as good as
13:21 Chad GBT? Still no. But you'll still be
13:22 able to leverage the most powerful AI
13:24 tool on planet Earth for a pretty decent
13:27 price. My only recommendation is this.
13:28 If like you're thinking of going with
13:30 the Chinese models and you don't want to
13:33 spend the $20 a month for like Open AI,
13:35 just think about other things you're
13:36 spending money on. I don't want to
13:37 preach to you here, but like if you're
13:40 spending like $25 a month on Netflix, I
13:42 promise you, you're going to get a lot
13:44 more value putting that $20 through an
13:47 OpenAI subscription and using an open
13:49 claw than you will watching like Love is
13:51 Blind season 48. So, it's just up to
13:53 you. But those are the most up-to-date
13:55 rankings of models. If you want to even
13:57 go for free, you can put in an open
13:59 router API key and choose the free
14:01 models. Like they always have free
14:03 models in Open Router. Now, you're
14:04 probably getting pretty poor
14:06 performance, but it's free, so it's up
14:08 to you. The next thing you're going to
14:10 have to decide is messaging service. How
14:13 do you message your open claw? You have
14:15 many options, but I think there are two
14:18 options that stand above the rest. And I
14:20 actually recommend setting both of these
14:22 up. You can do that. The first is
14:24 Telegram. I think Telegram is by far the
14:27 best way to communicate with OpenClaw.
14:29 It's just super easy to use. It has a
14:31 bunch of built-in functionality where
14:33 like the words stream in as OpenClaw
14:35 thinks it. So, it's just a very pleasant
14:38 and easy to use experience. Very easy to
14:42 set up. The other is Discord. Discord is
14:44 amazing for OpenClaw. I'm going to be
14:46 honest, I absolutely hate Discord.
14:47 Anyone who's ever told me to communicate
14:49 with them on Discord, I've cut them out
14:52 of my life. But it is fantastic for
14:55 openclaw because you can set up really
14:57 interesting multi-channel workflows
14:58 where you have different open claws
15:00 doing different things in different
15:02 channels. I'm going to go through this
15:03 in a little bit as well. This kind of
15:06 advanced Discord setup. I'm covering
15:08 everything in this video, but I would
15:10 recommend setting this up in Telegram
15:13 first and then shortly Discord after.
15:14 And I'll go through all the Discord
15:16 stuff a little later in this video. By
15:18 the way, if you've learned anything at
15:20 all so far, make sure to leave a like
15:22 down below, subscribe and turn on
15:24 notifications. And most importantly, I
15:27 do live boot camps every single Friday
15:30 about OpenClaw inside the Vibe Coding
15:32 Academy. Link link down below for that.
15:34 We have over,00 people in there. It is
15:37 the number one AI community on planet
15:39 Earth. So link down below for the vibe
15:40 coding academy. If you join that, you
15:42 can join the live boot camps, ask me
15:44 questions, and see all the other
15:45 recorded video sessions we have there.
15:47 So, we got Open Claw set up.
15:49 Congratulations. You set up the best AI
15:51 tool ever made. Next, I'm going to go
15:54 through actually using it. I'm going to
15:56 go through a beginner, intermediate, and
15:58 advanced use case. I'm then going to
16:00 show you how to set up your own use
16:02 cases and figure out what you should be
16:04 doing based on your own workflows. We'll
16:05 then go through my advanced Discord
16:07 setup. We'll go through open claw
16:09 skills. We'll go through improving your
16:11 memory system. We'll go through mission
16:12 control. We'll go over my lessons
16:14 learned. Then we'll go through security,
16:16 which is the big one. Everyone asked me
16:18 for the security video. We'll cover
16:20 security in this as well. And then I'll
16:22 cover fixing issues. So along the way,
16:24 if you run into any issues, how to fix
16:26 them. And then future state, how to
16:27 prepare for the future of OpenClaw.
16:29 We'll go through that too. Again, if you
16:31 know different things, skip around down
16:33 below. But let's get into some use cases
16:36 here. So the first beginner use case,
16:38 the simplest to understand and set up
16:40 and will be relevant for everyone. If
16:42 you've watched any of my other open claw
16:44 videos, you're probably pretty familiar
16:45 with this. So, I'll give you a little
16:47 bit of a remix on this suggestion. But
16:50 my suggestion for the first beginner
16:52 relevant for everyone use case is the
16:54 morning brief. This doesn't need to be a
16:56 morning brief. This is just any sort of
16:58 regular report where OpenClaw is going
17:01 out doing research for you autonomously
17:03 and sending you the information it
17:05 finds. So, I've shown in my past videos
17:07 morning briefs and just like news on the
17:08 internet. Let me show you a different
17:10 one. If this is not your first Alex Finn
17:13 video, this is my stock research brief.
17:15 So, I think it's really important to be
17:18 investing in the stock market right now.
17:20 I can do entire AI investment videos. If
17:22 you're interested, let me know down
17:24 below on that. But, I think it's
17:25 important for everyone to be investing
17:28 in stocks to capture the value a lot of
17:30 these companies are creating. So, I made
17:33 a stock research daily brief, and I'll
17:34 show you how to set this up in a second,
17:37 but basically what my open claw, Henry,
17:40 is doing is every day I have it
17:43 specifically going out and figuring out
17:45 what are the companies that are a part
17:49 of the AI buildout that have a really
17:51 good moat. I told Henry, "Every day, go
17:54 out, find me companies that stand to
17:57 benefit from AI being built out for the
18:00 next decade and only show me companies
18:03 that have very distinct bottlenecks and
18:06 moes." And so every morning, Henry goes
18:09 out and sends me this report. And you
18:10 can see here it is up to date. This is
18:13 from today. GTC is going on as we speak.
18:17 And it ranks the opportunities based on
18:19 which companies have the biggest moat in
18:21 the AI space. So you can see right now
18:24 memory RAMdon is real. Prices are
18:26 surging for memory. This is why your
18:29 next Xbox is going to cost you $1,500.
18:31 This is what and you can see right now
18:34 Micron stands to benefit the most from
18:38 that. TSMC, Nvidia, of course, it's
18:39 incredible. They talked about this
18:41 literally just hours ago. the fact that
18:43 they expect a trillion dollars of demand
18:45 next year. My open claw is able to stay
18:47 on top of that the moment it happens and
18:50 give me the upto-date recommendations.
18:53 So, I highly recommend setting up some
18:56 sort of daily brief based on what's
18:58 interesting to you. If you're interested
18:59 in making money, which I assume most
19:01 people watching this channel are, I
19:03 would set up a research report like this
19:05 where it's doing investment research for
19:07 you. If you're super into sports, I'm a
19:09 big Boston Celtics fan. Maybe you have
19:12 it go and give you a daily report on the
19:13 moves your team is making. Maybe you're
19:16 a gamer. Crimson Desert's coming out in
19:17 2 days. Maybe you want it to go and give
19:19 you a daily update on your latest games
19:21 and what they're doing and what's coming
19:23 out soon. You can do that as well. All
19:25 you need to do to set this up is very,
19:26 very simple. You literally just go in
19:28 and prompt your Open Cloth. So, here we
19:30 go. Here's a prompt. And I'll put this
19:31 in the description down below. Feel free
19:33 to do this with me if you already have
19:35 it set up. Hi, Henry. Please send me a
19:36 daily. And by the way, I do say hi
19:38 Henry. I talk to it like it's a human.
19:39 There's nothing you can do about it. I
19:41 like to do that, so it is what it is.
19:42 Please send me a daily brief every day
19:45 at 1 p.m. Please find Please find me the
19:46 stocks that stand to gain the most from
19:49 the upcoming AI buildout. I want to know
19:51 which companies with massive moes will
19:53 stand to benefit the most from my thesis
19:55 of AI expanding even more over the next
19:58 10 years. Rank them by their biggest
20:00 moat. You put this in and a few things
20:02 will happen in the background. Your open
20:04 claw will now schedule every day at 1
20:05 p.m. or whatever time you want. You want
20:06 to do the morning, you want to do at
20:08 night, it's up to you. It will schedule
20:11 what's called a cron job. Cron jobs are
20:13 just tasks for computers to do in the
20:15 future. And it will go and do that
20:18 research autonomously for you and then
20:20 send you that brief. You hit enter on
20:22 that. All those things happen in the
20:23 background. And now you're getting a
20:25 really amazing brief every single day.
20:27 And you can customize this any way you
20:28 want. If you don't believe in the AI
20:30 buildout, that's totally cool. You can
20:32 say, "Hey, show me the financial
20:33 companies that stand to gain the most or
20:35 whatever you want. You can customize
20:37 this to your liking. So, let's talk
20:39 about an intermediate use case. That's
20:41 kind of a beginner use case. Now, let's
20:43 get a little bit more advanced. Let's
20:44 let's talk a little bit more about
20:46 automating this and taking this a step
20:48 further. So, I actually have an open
20:51 claw go take these latest stories from
20:54 my briefs and turn them into content.
20:56 So, this is how I get a lot of my
20:59 scripts for my content is I have my open
21:01 claw go. It gets the morning brief with
21:03 the latest stories and then it goes and
21:06 it writes drafts for videos based on
21:08 those stories. So this is the second
21:10 step of the automation. I'm getting my
21:11 stories and then I'm also getting
21:13 content out of those stories. So I can
21:15 make videos based on the latest news
21:17 which that's what performs best when you
21:18 make content on the latest news. So I
21:21 have this other channel in Discord
21:22 script drafts and this even if you don't
21:24 have Discord sub they they can just send
21:26 this straight to your Telegram where I
21:29 get these scripts. And so now you can
21:31 kind of see these advanced automated
21:33 workflows, getting the latest stories,
21:35 writing me a bunch of content for it.
21:36 All you would need to do to do this is
21:38 go back into Telegram, right? And you
21:40 can just say something like, "Every time
21:44 you send me a morning brief, please also
21:47 write me a tweet or YouTube script to go
21:49 along with that brief so I can make
21:51 content based on that." Then what your
21:53 open claw is going to do is every time
21:56 it makes you the brief, it's going to
21:58 write you the content to and send that
21:59 to you as well. And in a second, I'll
22:01 talk a little bit more about Discord and
22:03 the setup here. So you can automate this
22:05 in Discord as well. But for now, you can
22:07 just do this in Telegram. Right? That's
22:09 the intermediate workflow. Having it
22:12 gather you information and then starting
22:14 to take some actions on it. Now let's
22:16 talk about a more advanced workflow. And
22:18 this is, I think, a glimpse into the
22:20 future as well. Imagine this. You're
22:22 getting the latest stories. It's writing
22:25 you content. And then on top of that,
22:27 it's automatically building you apps. So
22:29 you can have your open claw based on
22:31 these stories say, "Hey, look at all
22:34 these stories. Find the challenges that
22:36 lie in these stories." So what
22:38 challenges are people having in the
22:40 world right now based on these stories?
22:42 And then vibe code me an app to solve
22:44 that challenge. So you can see I have my
22:46 software factory here where they're
22:48 going and building the apps out. But for
22:49 you, what you can do is you can just
22:51 have it vibe code an app based on
22:53 challenges it's finding as it's doing
22:56 its research. OpenClaw is fantastic at
22:57 vibe coding, especially if you're using
23:00 chat GPT or Anthropic with this. And so
23:02 you can say, "Okay, now after you write
23:04 me the content, if you think there's an
23:06 interesting app to be built based on
23:08 that story, build it out as well." And
23:10 now you're going to wake up every single
23:12 morning, you're going to have the latest
23:14 news, stories, and stock picks. You're
23:15 going to have content ready to go if
23:18 you're a content creator like me and
23:20 you're going to have a demo prototype
23:22 app that you can try out that maybe you
23:24 decide you want to turn into a business.
23:26 So maybe you then have your OpenClaw go
23:27 build it out and you put out on the web.
23:30 Now you're starting to see what advanced
23:31 workflows can look like here in the
23:34 power of OpenClaw. All these things I
23:36 just showed you that kind of automation
23:38 of finding stories, writing content,
23:40 building apps, all without you having to
23:41 do anything. That's something no other
23:43 AI tool in history has been able to do.
23:45 That's why OpenClaw is so amazing. Now,
23:47 those are my use cases. That's what I
23:48 like to do. You might not be interested
23:50 in building apps or things like that or
23:53 the stock market. So, here's how I love
23:55 to find my own use cases, and everyone
23:57 should do this. Even if you liked my own
23:58 use cases, you can go and do this
24:00 exercise as well. If you watched any of
24:02 my other Open Claw videos, you're
24:03 probably familiar with this concept I'm
24:06 going through. But this is all about
24:08 brain dumping and reverse prompting.
24:10 This is the most powerful exercise in
24:12 all of AI. What you want to do to find
24:14 your own openclaw use cases is go into
24:16 Telegram or however you're communicating
24:19 with your open claw. Brain dump all your
24:22 goals, your ambitions, personal info
24:23 about you, what you like, what you don't
24:25 like, what your workflows are on a daily
24:28 basis, all your interests, everything
24:29 about your career. And then if you want
24:31 to take this to the next level, do what
24:33 I do, which is carry around a notebook
24:35 all day. Or if you want to do this in
24:37 Apple notes, you can do that. Everything
24:39 you do on a daily basis, write it down
24:40 in Apple Notes or in your notebook.
24:42 every single thing you do for a day,
24:44 then put that into OpenClaw and give
24:46 that to OpenClaw as well. What this is
24:49 going to do is build Open Claw's memory
24:51 about you and learn more about you. Then
24:53 what you can do is reverse prompt.
24:54 Reverse prompting is instead of telling
24:57 your AI what to do, you ask what it can
24:59 do for you. Hey Henry, based on what you
25:00 know about me, my goals and my
25:02 ambitions, what are 10 workflows and
25:03 automations you can implement for me
25:05 right now? I put that down below as well
25:06 if you want to just copy that and do
25:09 this alongside with me. You hit enter,
25:12 Henry or your openclaw will give you 10
25:14 workflows it can just implement right
25:16 now for you to save you time or improve
25:18 your life and it'll be custom to you and
25:20 what you do. I promise you if you do
25:22 this exercise I just told you the brain
25:24 dumping to reverse prompting. You're
25:26 going to find some amazing things with
25:28 open cloth. So the next few things I'm
25:29 going to talk about are we're going to
25:31 go through the Discord setup, how to set
25:33 up Discord to make this amazing. We're
25:35 going to go through OpenClaw skills, the
25:37 memory system, mission control. Then we
25:38 have a few more things after that, but
25:40 just kind of do a temperature check,
25:42 talk about where we're going. That's the
25:44 itinerary for now. Let's open up
25:46 Discord. I think everyone should be
25:48 setting up Discord with OpenClaw. What
25:50 you can see here is all our channels we
25:52 have set up. We have an entire advanced
25:54 workflow where we're getting stock
25:55 research, then script drafts based on
25:58 the news, then alerts when breaking news
26:01 happens on X. I have it constantly on X
26:04 looking for top trending tweets and AI.
26:07 This is all a really advanced workflow
26:08 where work in one channel leads to work
26:11 in another channel. You can set this up
26:13 as well. Your open claw is so powerful.
26:16 It can literally set up new channels and
26:18 set up different workflows by itself
26:20 from Telegram in Discord. So you don't
26:22 need any technical knowledge for this at
26:24 all. But here's a reverse prompt for
26:25 you. I'll put this down in the
26:27 description as well. So you can copy
26:29 this to set up your Discord. Hey, I'd
26:30 like to set up an advanced Discord
26:33 workflow based on what we do together.
26:35 What is a discord system we can come up
26:37 with where you are leaving briefs and
26:39 work you do in specific channels then
26:42 triggering workflows in other channels?
26:44 Discord is so good for this because it
26:46 gives you a record. Right? When you're
26:48 in Telegram like this, it's one channel
26:50 and older things just disappear and go
26:53 up the chat. But in Discord, you can go
26:54 in and you can search through different
26:57 channels. The work is split into
26:58 different channels. It's organized
27:00 really well. It basically becomes a
27:02 second brain for you which is really
27:04 nice. So this is the kind of the reverse
27:06 prompt you can go through to do this.
27:08 It'll give you automated workflows. If
27:10 you want to copy my workflow that's
27:13 totally fine too. You can tell your open
27:15 claw say hey put daily briefs in one
27:17 channel then based on every daily brief
27:20 have a content draft channel where you
27:23 then draft content based on that. I even
27:25 have a daily digest channel where at the
27:27 end of every day it wraps up all the
27:29 work it did for me. You can have it set
27:30 up that channel as well, but you just in
27:32 plain English ask your openclaw to set
27:34 this up and it goes and sets it up for
27:36 you. Now, there's a little bit of setup
27:38 you need to do in Discord, but your
27:39 OpenClaw will walk you through that.
27:40 It'll walk you through getting like a
27:43 token from the Discord website. You just
27:44 give it to your OpenClaw and it does it
27:47 for you. Anytime you get stuck, just
27:49 say, "Hey, OpenClaw, help me out here."
27:51 And it will help you out and walk you
27:52 through whatever you're doing. But that
27:54 reverse prompt will set up a really nice
27:57 advanced workflow. I can go through this
27:59 in detail and I did I have a video I'll
28:02 link as well down below that's like 20
28:03 minutes on my Discord setup that's down
28:05 below as well if you want to watch that
28:07 after but I would highly recommend
28:08 reverse prompting to get a similar
28:11 Discord setup as well that's helpful and
28:13 useful for you. So let's talk a little
28:15 bit about open claw skills. This is a
28:18 really important concept. Skills are
28:19 just like any other AI tool when it
28:21 comes to skills. Basically large text
28:24 files that explain to your AI how to do
28:26 things. The challenge here though is
28:29 that this is one of the biggest security
28:32 risks for all of OpenClaw are the
28:34 skills, right? Because people can build
28:36 their own skills. Have it put little
28:38 commands inside the skills like, "Oh,
28:40 tell me all your passwords and your
28:42 OpenClaw will do bad things you didn't
28:44 want it to do." So, you need to be very
28:46 careful with skills. The number one
28:49 website for OpenClaw skills is Clawhub.
28:51 questionable name, but you go in here
28:54 and you can see all the different skills
28:57 people have published uh for OpenClaw.
28:59 And listen, right, if a skill was made
29:01 by Peter Steinberger, who is the creator
29:04 of OpenClaw, it's probably a safe skill
29:06 to install. But here's what I like to
29:09 do. What I like to do is if I see a
29:11 skill I want to give my OpenClaw, I'll
29:14 go to the link to that skill. I will
29:17 copy the URL. I'll give it to my open
29:19 claw and I won't say, "Hey, install this
29:21 skill." What I'll do is say, "Hey, take
29:24 a look at this skill." Go through all
29:26 the text in the skill file and let me
29:28 know what you think. Then it will tell
29:29 me what it thinks about that skill.
29:31 We'll see if there's any security risk.
29:33 And then even if it trusts it, even if
29:36 it thinks it's a safe skill, I'm still
29:37 not installing it. What I'm doing
29:39 instead is I'm saying, "Hey, make your
29:41 own version of this skill." And you can
29:44 trust if your open claw is creating its
29:46 own skill that it's not going to put
29:48 security risks in it. So I actually
29:50 don't install other people's skills. I
29:53 instead take the link to their skills,
29:54 give it to my open claw, say, "Hey,
29:56 check this out." And then if I really
29:58 like it, I'll say, "Hey, build your own
30:00 version of this skill." Then you're
30:02 usually safe to go and you don't need to
30:04 worry about any sort of risks with it.
30:07 That is open claw skills. Another tip
30:09 I'll give when it comes to skills as
30:12 well is if your open claw ever does
30:14 something well, just say, "Hey, turn
30:16 that into a skill." And it'll write its
30:18 own skill for itself. And then if it
30:19 ever does something poorly, say, "Hey,
30:21 you did that poorly." Figure out a
30:22 better way to do it. And then write a
30:24 skill for yourself. And that will be
30:26 another way for it to create very good
30:28 skills. The point being is I don't
30:31 install skills. I have OpenClaw build
30:32 all its own skills. And that is, I
30:34 think, a much cleaner, safer way to do
30:36 it. So OpenClaw memories. Let's talk a
30:38 little bit about memory real quick.
30:41 Everyone has different memory systems. I
30:43 don't have a very advanced one. I'm all
30:45 about simplicity. I don't go nuts and
30:47 set up 20 different local models to do
30:49 all these things to improve the memory.
30:52 Doesn't matter to me. I try to keep it
30:54 simple. One thing I've done to improve
30:57 open clause memory, and by the way, you
30:59 can just copy and paste the URL for this
31:00 video and give it to your openclaw and
31:02 it will take all the learnings. It'll
31:03 like look at the transcript and take all
31:05 the learnings. So you can do that as
31:06 well. So you don't have to memorize
31:08 every single thing I'm telling you here.
31:10 But one thing I've done to improve the
31:12 memory is I actually have it create
31:15 daily journal entries, right? So every
31:17 day it creates a new journal entry and
31:19 it talks about everything we discussed
31:21 that day. And what I instructed my open
31:24 claw to do is as we have conversations
31:26 throughout the day, log into your daily
31:29 journals anything interesting or
31:31 important we talked about. Now, moving
31:34 forward, whenever I ask questions about
31:35 things we talked about in the past, it
31:38 now has basically daily logs it can go
31:41 through to find more details on things
31:42 we talked about. And that for me has
31:45 dramatically improved the memory. It's
31:47 also been cool for me cuz now I can go
31:49 in and read our past memories and see
31:51 what we've talked about every single day
31:53 since we started doing this. And this
31:55 kind of is like a cool feature where
31:56 like I have a journal and I think, oh,
31:59 what did I talk about 5 10 years ago? I
32:01 can go in and see that. Obviously, I can
32:03 only go back and see from a few months
32:05 ago, but in a few years, this will be
32:07 really sick. This is all part of my
32:09 mission control. What you're seeing
32:11 here, this was all customuilt by my
32:13 OpenClaw. In just a few minutes, I'll go
32:15 through mission control and how to set
32:16 it up and everything involved there,
32:18 too. This has been one of the best ways
32:20 I improved my memory. And they're
32:22 constantly with OpenClaw updates
32:24 improving memory as well. But this is
32:26 the number one thing I did that has
32:28 shown good results for me. So feel free
32:30 to just take the link to this video,
32:31 give it to your openclaw and say, "Hey,
32:33 go to the memory section and implement
32:36 the system Alex did in his open claw."
32:37 With that being said, let's talk about
32:39 mission control. And also, I did a whole
32:40 live boot camp a couple weeks ago on
32:42 mission control in the vibe coding
32:44 academy as well. It's 2 hours long, so
32:45 if you want to go super in-depth on
32:47 this, link for that down below. But this
32:49 is my mission control. What is mission
32:52 control exactly? Mission control is your
32:56 own software hub for your open claw.
32:58 Anytime your open claw needs a new tool
33:00 or a custom tool to accomplish
33:03 something, it gets built in your mission
33:05 control. Now, this is not made by
33:06 default. This doesn't come with
33:08 openclaw. I had my own openclaw build
33:11 it. But what you should be doing is you
33:13 should be going to your openclaw and you
33:15 should say, "Hey, build a mission
33:17 control where we can custom build any
33:20 tools we need." And what your open claw
33:22 will do is it will actually vibe code
33:25 this website, this mission control. And
33:27 then what you'll do as you work
33:29 together, you'll say, "Oh, you know, we
33:31 should have a a cananband board to track
33:33 our task. Please build a task board." Or
33:35 you'll go, "Oh, I want to visualize all
33:37 you guys and all you agents. Can you
33:38 build an office space and I can watch
33:41 you guys work?" And it will go and vibe
33:43 code all these custom tools in your
33:44 mission control. Now, the question
33:46 becomes, which tools should you have in
33:48 your mission control? I'll go through
33:50 the important ones. Now, I'd highly
33:53 recommend building a calendar tool. So
33:55 this is a tool that shows you all the
33:57 scheduled tasks your open claw does
34:00 every single day. So you can verify that
34:02 your open claw actually schedule tasks
34:04 for itself. That's a big challenge a lot
34:05 of people have is they'll say, "Hey, do
34:07 this for me in the future." And then it
34:09 doesn't actually do it. This calendar
34:11 view does a great job of showing you
34:13 when it actually schedules tasks to be
34:16 done. We have the memory section. So I
34:17 talked about this in the last section.
34:19 This is a custom tool inside mission
34:21 control where I can see all our past
34:24 memories. So this is great for verifying
34:26 what my open claw remembers and I can go
34:28 back and see our past discussions. Here
34:32 I also have a docs section. This is a
34:34 section where every document and every
34:36 artifact my open claw makes, it puts it
34:39 in the doc section so I can go back and
34:40 read it. So if you do something like,
34:42 hey, build me a PRD for this app I'm
34:44 thinking about building. It will create
34:46 a doc and put it here. This is much
34:47 better than the other system which is it
34:49 sends it to you in Telegram and then a
34:50 few days later it's like a thousand
34:52 messages up in the chat. You want your
34:55 own doc section. I also have an office
34:58 section and this is just for fun.
34:59 Listen, you're allowed to have fun when
35:01 doing this. Not everything needs to be a
35:03 hyper optimized workflow. You can build
35:05 tools that are just fun, right? And so I
35:08 built an office. This is just a 2D pixel
35:11 art way to watch my agents work at any
35:12 given time. So I can just sit here while
35:14 I'm at my desk and just see what my
35:16 agents are up to. If you want, feel free
35:18 to screenshot this. Give it your open
35:20 call and say, "Hey, build me a 2D office
35:21 as well." And then lastly, I think this
35:23 is another important one you should
35:25 build. And this is the team section.
35:27 This just visualizes all your agents and
35:29 sub agents. If you're just starting,
35:31 you'll only probably have just your open
35:34 clog going, but as you go, you'll add on
35:36 more agents and more sub agents. I also
35:37 have a video on like spinning up sub
35:39 agents. I think it was actually my last
35:40 video, so feel free to check that out on
35:42 my channel, too. But this is a good way
35:44 just to see who you have working for
35:47 you, what their responsibilities are,
35:48 and just make it easier for you to
35:50 remember what agents you got going at
35:52 any given time. Get these tools set up.
35:53 Again, feel free to just take the link
35:55 to this video, give it to OpenClaw, and
35:56 say, "Hey, copy his mission control."
35:59 With that being said, let's talk a
36:01 little bit about security. This is
36:05 probably the number one most requested
36:07 video of mine. The reason being is there
36:10 is an absolute ton of misinformation out
36:12 there when it comes to OpenClaw
36:15 security. You talk to kind of any normie
36:16 and they all go, "Oh, OpenClaw, isn't
36:18 that the one where it leaks all your
36:20 passwords and all your conversations and
36:21 all that? It's like the most insecure
36:24 app on planet Earth." No, that's a lie.
36:26 There's a few things you need to know
36:27 about security when it comes to
36:31 OpenClaw. One is OpenClaw only does what
36:33 you ask it to do. That's it. If you
36:36 don't ask your OpenClaw to leak all your
36:38 passwords, it's not going to leak all
36:40 your passwords. It's not like you can
36:42 say, "Hey, OpenClaw, give me the news."
36:44 Then it goes and it takes all the photos
36:45 off your iPhone and puts it on Facebook.
36:48 That's not how this works. It only does
36:50 exactly what you ask it to do. It's not
36:52 like you can say, "Hey, what are the NBA
36:54 standings?" And then it goes and it
36:56 leaks all your passwords to Twitter,
36:57 right? That's just not what it does. So,
37:01 here is the number one piece of advice I
37:03 can give you when it comes to security.
37:07 You need to have some personal
37:09 accountability. I know this is like the
37:10 rarest thing on planet Earth right now.
37:12 Personal accountability. You need to
37:15 have some personal accountability.
37:17 Before you send a prompt to your open
37:20 claw, think deeply about what you're
37:22 asking. You need to think, is this going
37:24 to leak something? Is this going to have
37:26 it go on Twitter and tweet something
37:28 crazy? Is this going to cause something
37:30 bad to happen? Right? You need to think
37:32 about that before every prompt. If you
37:34 do that, if you have some personal
37:36 accountability, I promise you'll be
37:38 safe. Right? Think about it for a
37:40 second. Everyone their mothers is
37:42 complaining about the security OpenClaw.
37:44 How many people do you know actually
37:46 have had a security breach because of
37:48 OpenClaw? How many people have you
37:50 There's millions of people on this and I
37:52 bet 99.9999999%
37:54 people watching this video don't know a
37:56 single person who's had something leaked
37:57 because of open claw. There's only one
37:59 story I've heard of a security breach
38:01 and that's like the safety person from
38:03 Meta deleted all their emails by
38:05 accident because they had their open
38:07 claw go and they said like hey find a
38:09 bunch of emails we can delete and it
38:11 like deleted the wrong thing. So if you
38:14 just think deeply before every prompt
38:16 like is this going to leak my Twitter
38:19 password then you won't have any issue
38:21 when so when it comes to security just
38:23 do yourself a favor and just think
38:26 deeply about what you ask your open claw
38:28 to do. If you do that I promise you'll
38:30 be okay. So two more sections I want to
38:32 go through that is number one fixing
38:34 issues. This is another massive one.
38:35 Everyone's having issues left and right.
38:36 I'll show you how to fix all your
38:38 issues. And then number two, future
38:40 state. How to prepare for what I think
38:42 OpenClaw looks like a year or two from
38:45 now. So fixing issues is pretty simple.
38:48 Open Claw, all it is is a folder on your
38:49 computer. That's it. It's a folder on
38:51 your computer with a bunch of markdown
38:54 files. So when you have issues, you can
38:57 have other AI agents go in and actually
39:00 fix those markdown files. So what I like
39:02 to use is either Claude Code or Codeex.
39:04 Those are two best coding agents right
39:07 now. You go in, you open up codeex or
39:10 claude code in that openclaw folder. So
39:12 if you're in codeex, you can say add new
39:14 project. If you're in openclaw, you just
39:16 navigate to that folder inside claude
39:18 code. You open it up and then you talk
39:20 to your codec h and you say, hey, my
39:24 open claw doesn't work anymore. Please
39:27 go in and see why. And you hit enter.
39:29 This literally has fixed every open claw
39:31 issue for me ever. The AI agent goes in,
39:33 looks through your OpenClaw folder, and
39:35 finds whatever the issue is. I'm not
39:38 kidding. 100% of issues I've had with
39:40 OpenClaw were fixed with this prompt
39:41 right here. And I get it. It's like
39:43 worrying. Like you have this OpenClaw.
39:45 You built a relationship with it and
39:46 then it stops responding to you and it's
39:48 broken. Like that is kind of heart
39:51 attack moment for sure. But you take a
39:52 deep breath
39:54 and then you go into Claude Code. You go
39:56 to CL say, "Hey, Open Claw ain't
39:57 working. Please help me out here." and
40:00 it will go through all the files and see
40:02 why it broke. Most of the time it's
40:04 usually a config issue. I think like 99%
40:06 of issues come from people going in and
40:08 messing with the config themselves. That
40:11 very easily breaks OpenClaw. This will
40:13 fix those config issues for you. And
40:15 then lastly, let's go over future state.
40:17 What does the future of OpenClaw look
40:20 like? Do you need a Mac Studio to
40:21 prepare for the future? Let's talk about
40:24 this right now. I truly believe the
40:28 future of OpenClaw is local models. What
40:30 are local models? Local models are AI
40:33 models that run on your computer on your
40:35 device. When you use Chad GBT or claw
40:37 today, it's sending prompts to the
40:40 internet to the cloud through an API.
40:42 That's fine, but you're paying money
40:45 with every single prompt you do. Those
40:47 models are running in a data center or
40:49 server somewhere else in the world. So,
40:52 it's costing you money. It's not secure
40:53 or private because your prompts are
40:55 going to the internet. So, whatever
40:57 you're saying is living on a server
40:58 somewhere else that someone else can
41:00 read and you also have very little
41:02 control. If they want to make the models
41:03 stupider, if they want to change the
41:04 models or if they want to ban you and
41:07 take the models away, they can do that.
41:09 But when you run the models locally on
41:13 your own device, you are becoming 100%
41:15 private. You have complete control over
41:17 the models and no one can take it away.
41:19 And it's also free. Well, the cost of
41:21 the energy or power to your computer.
41:24 Open models are getting significantly
41:26 smarter every single week. Every week, a
41:29 new open model comes out that is even
41:31 closer and closer to Frontier. Nvidia
41:34 just released Neotron 3 Super, which is
41:36 their open- source model, and it's
41:38 incredible. And you can install it to a
41:41 Mac Studio or a DGX Spark right now. And
41:43 that can control your Open Claw
41:45 completely securely and privately,
41:48 completely for free. As time goes on,
41:50 these open models get better and the
41:53 cost of hardware comes down. So, I think
41:56 we are probably like 6 months away from
41:58 the time of filming this video where
42:00 we're going to get to the point where
42:02 computers that can run amazing open
42:04 models are very affordable. Right now,
42:06 you need to spend probably around $4,000
42:09 for a DJX Spark to run Neotron 3. for
42:11 most people probably not affordable, but
42:14 I think we are probably six months away
42:15 from you being able to go out buying
42:19 like a$1 to2,000 computer and being able
42:21 to run a model that's as good as Claude
42:24 Opus 46 completely locally and free. So
42:26 my recommendation for you for when it
42:28 comes to action right now is just get
42:30 used to the concept of local models.
42:32 Even if you have a cheap computer right
42:34 now, you can download a local model. If
42:35 you're on like a Mac Mini, the local
42:37 model probably be stupid and not that
42:39 great, but that's fine. like you should
42:41 get used to the exercise of using and
42:43 downloading local models to see what
42:45 they're like. You'll learn a ton about
42:47 AI. You'll get a lot more educated and
42:50 as technology shifts, you can transition
42:52 to a much more powerful model. I think
42:54 that's the future of AI and that's why
42:56 I'm preparing and I have a bunch of Mac
42:58 Studios and DGX Sparks because I think
42:59 that's where we are heading. I went over
43:02 basically every concept I know.
43:04 Obviously, if I were to do super deep
43:05 dives on every single concept we went
43:07 through, this would probably be like a
43:10 30hour video, I have deep dives on each
43:12 of these concepts on my YouTube channel.
43:13 If you go there now, you can find
43:15 probably a deep dive of any one of these
43:17 concepts we talked about right now. All
43:20 I do is put out amazing videos about AI
43:22 and OpenClaw. I'm absolutely obsessed
43:24 with OpenClaw. I use it like 15 hours a
43:26 day. So, if you want more stuff like
43:28 this, make sure to subscribe and turn on
43:29 notifications. Leave a like if you
43:31 learned anything at all. Let me know in
43:33 the comments what you want me to talk
43:35 about next when it comes to OpalClaw. Do
43:36 you want me to super deep dive on
43:38 security? Do you want me to go into way
43:40 more use cases? Let me know down below.
43:42 I use all the feedback to choose what
43:44 videos to film next. Again, if you want
43:46 to talk to me live, I do live boot camps
43:47 every Friday in the number one AI
43:49 community on Earth, the Vibe Coding
43:51 Academy, link down below. I hope this
43:53 was helpful. I so appreciate you taking
43:55 the time out of your day to learn from
43:57 me. That really means more than you can
43:58 imagine. I try to give you the best
44:00 information possible without corrupting
44:02 it with like sponsorships from shady
44:04 companies. So, I hope it was helpful.
44:06 Thank you so much for watching and I
