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My name is David Ondrej, and over the past 3 years, I've spent well over 2,000 hours coding with AI. And I've also personally interviewed some of the most legit and productive people in the space of Agentic Engineering. And in this video, I'm going to show you my full Agentic Engineering setup as it currently stands, holding nothing back.
Starting with the interface, right? This is how you interact with agents. So, currently, my main interface is BB. This is an open-source project. It's completely free, and it allows you to use any subscription, any agent, any model inside of a single interface, right? So, we can see we have Codex, Claude Code, Pi, Cursor CLI, OpenCode, Grok Build, and Hermes, all within the same UI.
The problem with apps like, you know, Codex or Cursor is that they only allow their own models, their own subscription, and you cannot utilize the most out of your subscriptions, which is absolutely essential in 2026.
Now, inside of BB, there's a lot of different useful things. You can see that I have different projects on the side. I can easily close them. I can easily open them, reorganize them if I wanted to. There's also agents, and you can launch sub-agents. So, for example, here, I told it to run the total review skill. I'm going to go a bit more into detail on my skills later on. But basically, what it did is it launched these two sub-agents. And yeah, I didn't have to write that prompt. I didn't have to manage the sub-agent. The parent manager agent launched them, and you can easily click into them. It's very nice. All the features you like from, you know, Cursor or Codex apps, which again, those are two great apps, so don't get me wrong. They are inside of BB. And the benefit is that BB is fully open source. So, you can fork it, you can look into the side of the code. And again, it's free to run. That's why I use it.
But it's not the only thing in my Agentic Engineering setup. In terms of the interfaces, another one is Cmux. Cmux is a great way to have different projects. You can see here, for example, I have a bunch of Codexes. So, I was splitting this thing five different Codexes, how they behave when they lose internet access. And you can do that easily, because when you launch a new workspace inside of Cmux, you can just divide the screen like this, just like you would do in Tmux. And that's why there's a similar name. It's a terminal, right? So, each of these are terminal panes. You can launch different harnesses. There's also built-in browser. Cmux is great. The issue with Cmux is where it breaks is once you have a lot of different agents, a lot of different workspaces. The left sidebar really is not the right primitive. It's not the right interface. It's really hard to work at big projects inside of Cmux. It's fine if you have a couple of things going on, if you're using a couple of agents. But anytime you want to do serious Agentic Engineering work, Cmux is not going to work.
Another thing I'm using is Ghostty terminal, because it's very fast and it's native. And inside of Ghostty, you can run Herd'r, which is basically like Tmux but for agents. It's a back-end runtime for agents. Herd'r is really good. It's lightweight. The issues I had with, for example, Cursor app is that it was breaking. It was just crashing anytime I was running 5+ agents in work trees. More on work trees in a bit. But Herd'r is very minimal, very lightweight. It lives in the terminal and allows you to, again, start new agents and new sessions very easily. And, you know, CD into folders and build stuff very quickly, very easily. And when the agents finish, their state is clocked on the left, right? So, you can see which agent is done, which is idle, which is blocked, and which is running, which is essential. So, for example, here, if I start like Codex, and I can say hi, you can see it's working, right? He's moved to the bottom. He's working, and you don't have to pay attention to him. And now he's idle, right? So, this is very important, tracking the states of AI agents.
And my prediction is that in 3 to 6 months, as Agentic Engineering grows as a field, we're going to see this become more and more important, because you're not just going to be talking to a single agent. You're going to be talking to a manager agent that manages a lot of different worker agents, because again, human attention is fundamentally limited. That's why having a good interface is essential, right? Another thing is Corral. This is something I developed myself. I had multiple versions. This one is fork of Zeron. But basically, the way this works is that instead of randomly switching between agents whenever they finish, which is, you know, how, for example, inside of Herd'r it works, there's no real order. What I realized is that every agent has a different importance, right? Different priority. So, when you have an agent that's P1, when he finishes, he should go to the top, and he should never, you should never, like respond to an agent that's P4 when a P1 agent has finished running. So, this is what I call Corral. I still need to, like, open source and finish it. We'll see if it has any reception, but this is, in terms of interfaces, that's what my Agentic Engineering setup looks like.
Now, I already touched on this briefly, but the next thing I need to talk about is models and subscriptions, right? How do you get the most value out of your money? So, these are the four main subscriptions right now, and again, this could be completely different two months from now, but right now, the best deal, completely, is OpenCode, Go. Okay, $10 and it gives you HimiK3, it gives you Grok 4.6, GLM 5.3, DeepSeek V4 Pro. Insane. $10, really good. But it doesn't have the best models, like Fable and GPT-5.6 Sol, and the limits are kind of small, right? So, once you get the OpenCode, Go, if you can afford more money, you need to buy another subscription. $20. You're going to start with the $20 subscription, probably start with ChatGPT 1, or Claude, if you really have a strong preference, or Cursor, if you want to have more models. The issue is with Cursor, you don't get as large of a subsidy, right? These two subscriptions will give you the best deal in terms of, like, usage, but they only have their own models, right? The this one only has ChatGPT models. This one only has Anthropic models. So, again, if you have $30 to spend, go with OpenCode, go with ChatGPT Codex. If you have $50 to spend, add in Claude Code, $20 subscription on top of that. If you have $70 to spend per month, add in Cursor's $20 a month subscription, and you have the lowest tier of all subscriptions. Now, once you have more budget, let's say you have $110 per month, you want to go with one of the big plans, right? Because these are the ones that give you by far the best deal. So, ChatGPT Codex is going to give you a better deal than Claude. It is what it is, you know, Open AI has more compute, they're willing to subsidize it more. So, for the foreseeable future, if you go with a ChatGPT subscription, doesn't matter if it's 100 or 200, you're going to get a better deal than Claude Code.
Now, if you can, you should afford both, right? If you have $210 to spend up to spend, you should just get this one, this one and this one. Cursor is very underrated. A lot of people don't realizing that Cursor aka Grok is going to become a great subscription because of SpaceX acquisition, right? SpaceX AI, Elon Musk's company, has loads and loads of compute. They have so many GPUs, which means they're allowed to play the game. They can, they can play the game of subsidizing. Now, it's not true yet, you know, Cursor subscription is not yet as subsidized as Codex or Claude Code. So, keep that in mind. But very easy prediction that I'm confident in, in 3, 4 months, we're going to see the Cursor subscription become a great deal. Or even with Grok 4.6, it's a great deal. Grok 4.7 is all around the corner. This is going to become an insanely valuable deal, I predict, but right now, these two subscriptions are better. And, you know, if you can afford it, just get the 200s because those are 20x, right? No matter what, do not pay API pricing. Do not pay API pricing. This is the worst deal because, you know, there is no subsidy, there is no deal, there is no, like, more tokens for less. You want to get as many tokens as possible for as little as money as possible. That's why subscriptions are essential. And, uh, yeah, depending on your budget, just combine these four however it makes sense for you. Next up, cloud agents. It's pretty inevitable that cloud agents are the future. I think this is obvious to anybody who's been paying attention to what's happening in Agentic Engineering. You can see the moves of Cursor, Amp, Devin, Codex. All of these companies are just going all-in on cloud agents. And by the way, the proof is just this graph, right? This is internal 7-day rolling share of merged PRs from cloud agents, at Cursor. And you can see that the start of this year, it was like around 10, 15%. Now, in the second half of 2026, it's the majority. It's in approaching near 60%, which means most of the work done at Cursor inside of Cursor. And this is not just like, you know, automations that run a PR and it doesn't get merged. This is merged PRs. So, this is the stuff that actually gets used. Most of it comes from cloud agents, okay? So, what is a cloud agent? Well, all of the things that, like, I'm showing you, for example, here in BB, these things are running locally. These things are running on my computer, right? They're local, local agents running on my machine. The issue with this is that it's not scalable. You cannot run hundreds of agents at once, because your computer will probably not handle it. All it takes is a couple of agents to decide to run database tests at the same time or to run your entire test suite at once, and it's going to use up most of the resources of your computer. Another thing is isolated environments. Another thing is persistent sessions, uh, durable access to internet or electricity. You know, when you close your laptop, you lose your sessions, uh, when you lose even when you lose internet for like a couple of minutes, the harnesses cannot recover. So, cloud agents are absolutely the future. Not 100%, obviously there's still going to be use case for running agents locally on your computer. But more and more of the AI that's running and exists is moving to the cloud. I mean, just look at Grokbot, right? Grokbot is again a hugely successful product, it's blowing up, and it's just another way of doing cloud agents. The problem, however, that I have with these solutions is that they have insane level of ecosystem lock-in, right? When you set up any of these cloud agents, and you set up the environments, add all of your secrets and environment variables, that is first of all a lot of hours to set it up correctly, and second of all, like, you just lock yourself in. You know, you have all your agent sessions there, you're using their subscription or their pricing, and you give them all your context, and they can train models on it. And even if they don't train models, that's the thing. There's so many other ways to use your data. They can look at it, they can analyze it, they can compare it, even if they don't train on it, right? So, the biggest problem is ecosystem lock-in. Like once you set up any of these, if you migrate your whole company to them, switching away is going to be such a pain and so expensive. So, what is the solution? Solution is to have your own server, right? It's not that scary. It's actually very simple. I'm going to show you in a second. And on that server, you run Herd'r and you SSH into it. Herd'r gives you persistent agent sessions, and you can have many agents running at once, and SSH allows you to connect to your server in a easy way. You can do it from your phone, you can do it from laptop, anything that supports SSH. And you can literally achieve the 80/20 for just a couple of dollars. So, let me show you how to actually set this up, so you can benefit from this cloud agent evolution for a fraction of the cost without locking you into an ecosystem that you might not want to be in. So, the first thing you need to build your own cloud agents is a server, and the easiest way is to just buy a VPS. So, I think the best option is Hostinger. I've been using them for years now. All of my VPSs, and everyone on my team that has a VPS, uses Hostinger. Not only because it's one of the most affordable options, but because it's so easy to set up. Let me just show you. So, when you get to the landing page, which, by the way, I'm going to link that below as the first link, just select the plan, KVM at 2 plan is enough. But if you prefer to go more, like, you know, if you want to have hundreds of agents running at the same VPS, you can just go with one of the more powerful servers. I'm going to go with KVM 2 here. So, click on choose plan. This is going to take you to the Hostinger cart. Now, for the period, go with either 12 months or 24 months. I would recommend going with 24 months, because you get the biggest savings, the biggest deal. And again, every month we're running more and more AI agents, so you might as well get early while other people take another 6 months to realize this. Now, again, this gives you the biggest cost savings, but if you want to save additional 10% off, go to the right, click on have a coupon code and type in code DAVID to save another 10% off on the one year or two year plan. Then on the left, we don't need the Noxious credits. You can uncheck that. We don't need this. Keep all of these unchecked, but select a server location that's close to you or your audience for optimal performance. So, right now, I'm in Warsaw, Poland, so Germany is pretty close, so select that. But then at the bottom, you need to select a location, so just click on that and see like what's the latency to where you are. So, you can see Germany is the lowest latency, so I'm just going to go with that, and then click on continue. Next, you need to log in to your Hostinger account, or if you don't have one, just register, takes like 20 seconds, it's super easy, and then fill out your card and billing details to complete the purchase. Okay, once you purchase the VPS, it will look like this, you'll get redirected to the Hostinger panel. Uh, on the left, you can always go to VPS and click on the one you just purchased. So, uh, this is your IP address, IPv4, this is your root access, and the password, hopefully you saved that during setup. If you haven't, just click on reset password, create a new one, and save it to your password manager. Then once you saved your root password, what I actually would do is, I would use an agent to help you set up your environment for cloud agents. So, for example, we can use Cmux here. Okay, so I went into root level, so again, CD, you can change directory, go to root level of your computer, to you know, go into a specific folder that's up to you. But the main thing is launching a coding agent, right? You can use CloudCode, you can use Codex, I'm going to use Cursor CLI, because you can use any model here. And for this, I think Grok 4.6 is good. Uh, we don't even need extra fast, I'm going to select high and fast. Grok 4.6 is surprisingly great to work with, so we're going to use it here. I'm going to need your help to SSH into VPS and set up some dependencies here. Always answer in plain English, be very concise. So, this is what I call pre-sending, right? Sometimes it's good to, like, pre-send a prompt to tell it what is this session about. And, uh, okay, so it's actually following my skill, which, by the way, you can get from my skill repo, that's also going to be linked below, completely free. So, I already have a skill that teaches the agents how to use uh SSH, how to use hostinger VPS's. But I'm going to tell it hold up for now. This is a brand new VPS I set up, don't use any skills yet, don't rush anywhere, okay? I'm going to tell you what to do. So, I'm using super whisper here to dictate because it's way faster than typing, even though I type very fast. If you want to know how I type so fast, just go to monkeytype.com, and you know, do some typing, you can measure it. But even if you type 150 words per second, you can speak at 300 if you are really fast. You can probably speak at at least 250, right? So, most of you are slow typers, you're typing at 40 or 50 words per minute. You can speak 3 to 4 times faster instantly. So, just get a word transcription tool, you know, there's a Glado from Jack Roberts, that's a good one. I use super whisper, there is a whisper flow, it doesn't really matter that much, okay? Use a voice transcription tool. Um, sometimes you cannot use it if you're in public, that's fine. But if you can use it, use it. It's super OP, and it will allow you to send prompts way faster, and that's what you're going to see me watching in this video when I'm able to speak into my microphone and get the prompts out super quickly, it's because I use super whisper. So, anyways, we have the agent primed here, and we have the other pane, so I'm going to actually tell it, "use Cmux." Okay, so I'm going to tag the skill. Use this skill to find the other empty pane in this Cmux workspace where I just ran the command PWD. Let me know if you can find this pane. This is where I want you to run all future terminal commands once I tell you what a VPS to SSH into. This is why I like to use Cmux for these types of setups, is because, uh, first of all, it's like straight in the terminal, right? You can see everything that's happening. If you use, like, Cloud desktop app or Codex app, it hides a lot of the details. And, you know, it's good for beginners, it's good for non-technical people, but if you want to be a serious Agentic engineer, you cannot be scared of the terminal. The terminal is your friend, it's just a way to access the computer, right? There's nothing to be scared about. So, it found it, okay, so that's good. It found the pane, so now it can interact it. So like, send a test command in there. I just want to test if the agent can interact with this pane, and because of this skill, right, of the Cmux skill, which, again, it's in my skills repo, it can. And it sent Echo test. This is very important because I'm going to use this agent to do everything. I'm going to give him the credentials to the VPS, and I'm going to have him set up the environment, and I'm just going to talk in plain English. This is the Alpha, guys. You can use the agents for so much more than you're currently using it. Let me just show you, okay? Okay, so let me switch back to Hostinger. I'm going to copy the root access command here. I'm going to go to the right pane, paste that in. And for the credential, like, you know, pasting the IP and the password, you probably want to do that yourself. If you're repeating it a long enough, you can store it in a secret .env or .env.local and mention only the location of the environment file in your skills. Never put credentials or environment variables into skills or into prompts, okay? It's a very bad practice. But anyways, now it's asking for the password, so I'm going to fill in the root password. There it is, and now we're SSH. So, I'm going to speak. Okay, check it again, check the pane again, adjust to the VPS. Do you see it? If so, run a few test commands to learn more about that virtual private server. And now we're going to see the speed gains of using an AI agent, right? So, even though like even if you're a professional developer or a backend engineer, devops expert, you can only read so fast. The agents can read insanely fast and they can run write code and terminal commands like super quickly. So, what the agent can do is basically analyze the VPS and learn everything about it in a matter of a few seconds, right? So, that's what it learned. Ubuntu, blah, blah, blah, to 2 CPU cores, about 8 gigabytes of RAM. Okay, so, great. Great, exactly. So now I want you to set up the following dev environment on the VPS, right? So, we need to install Herd'r. Also make sure there is Node.js, also make sure there is Python 3, make sure there is Git. Start by installing all of these. And, instead of me, like, having to go and visit these sites and copy their installer commands, the agent can just make sure that we get the latest version, the latest stable releases of all of these dependencies to set up our cloud agent's environment on this VPS. And again, a single hostinger VPS like this can handle many different agents. You can literally have a Hermes agent running with your personal stuff, you can have another open cloud there, and then you can have all of your coding agents, right? Claude Codes, Codexes, Cursors, Droid, Prime agent, whatever you're using, doesn't matter. And if you ever need to upgrade it, it's very easy, you can just do it from your Hostinger panel, which takes, you know, a couple of clicks, much easier than upgrading your home server or your entire, you know, setup at home, buying a new laptop, migrating everything over. That is a lot more expensive and a lot more inconvenient. And again, you need some cloud setup. You need some cloud environment setup where, if you have a long running task, and you want to start it, and let's say you need to go to a cafe or you need to close your laptop or you are in a place with a buggy internet, you cannot run it locally on your computer. So, you use cloud agents for that. And with the your own VPS, you can customize it however you want. And the main thing I want to get across is that you don't need to be an expert in terms of VPS's. You don't need to be an expert in terms of devops, Linux, none of that. Just talk to your agent in plain English. Look at what I'm doing. I'm talking to Grok 4.6 in plain English, and he's doing all of this for me. So, whatever you want, whatever cloud setup you want, you know, connectors, whatever harness, whatever interface, however you want it to work with, how you want it to to crunch jobs, whatever you want to set up, describe it in plain English. Tell it to give you three options and just walk through the main decisions. Educate yourself, focus on the main choices, but forget the syntax, forget specific terminal commands. The agent can do it. So, literally, all you need is Cmux and a coding agent running on the left. On the right, you just do a terminal into a VPS, and you can set up any type of cloud agent setup, and you can completely avoid all of the ecosystem lock-in that comes from these companies, which they have a massive incentive to move you to their own cloud agents platform, right? Why? Because it's very low churn. Because once you set up, you know, any of these, and I, I don't want to hit on a specific company, but any of these, once you set them up, it's nearly impossible to switch away. So, I would recommend doing that. And instead, get your own VPS, set up Herd'r, set up SSH and just run your own cloud agents. It's not that difficult. Like, we're literally in the second half of 2026. AI agents are super powerful. Just describe what you want in plain English and have them build it for you. In fact, it's done now. So, we can literally say, uh, start Herd'r, or we can just run that command ourselves. Again, I want to show you the power that really agent can do anything. So, it's going to read the state of the interface, and now it started the Herd'r. I can see that we have it here. Can we resize that a bit more? So, now here we can like, for example, launch a Pi agent. We haven't installed Pi agent, so I say, "Now install Pi agent, use DeepAPI to learn what is the official installer." Boom. And that's another OP thing. It's like you really need one agent, and then use that agent to compound and set up other ones, right? So, for example, for Pi, uh, it can find the installer, it can install it, it can set it up, it can probably find an open router API key on my machine and copy it, and can do the full Pi agent setup for me on this fresh VPS just by me telling it, right? So, really, if you have a computer, you need to fight to set up the first agent, right? No, I don't care what it takes. I don't care if you need to cancel a meeting, sit down, set up the first agent on a computer. After that, everything else is so much easier. And, yeah, look how easy it was to set up Herd'r. We have the spaces, we have agents. Obviously, um, the agents are not installed yet. Can try CloudCode. Okay, it's installing, uh, Pi now. So, I'm not going to interrupt it. But, yeah, that's how fast it was to install Herd'r. It's running on the VPS. Really, just talking to your agent and describing what you want is underrated. All you need is work ethic, initiative, and just push through the friction. That's it. Now, while the Pi is getting installed, let me continue with my Agentic Engineering setup and talk about harnesses, because this is what we already touched on. So, let me go deeper on that. First of all, Pi agent, the goat, you know, the simplest, most minimal harness out there. If you want to get it, pi.dev. Again, it's open source, it's completely free. Just download it. Um, I had, uh, Mario on the podcast, and also Armin is releasing, the episode with Armin is going to be released in the next week or so, so stay tuned for that. Make sure to subscribe if you don't want to miss that. I've been really doubling down on the podcast interviews, interviewing some of the most impressive people in the AI space. So, if you want to make sure that you see all of them and you didn't, don't miss any of them, please subscribe. It's completely free, and it takes two seconds. So, go below the video and click subscribe. Okay, so Pi agent, again, this is what OpenClaw is built upon. It is the super minimal harness with just four tools. And, yeah, it always runs in Yolo mode. It supports any model, any provider. Very elegant, very easy to use, super configurable and customizable. And this is why it's becoming one of the most popular harnesses out there and why a lot of people build on top of Pi. So, absolutely non-negotiable. You need to be using Pi, you need to have it installed. And that's why I've put it as the first harness on this VPS. Seems like it is installed. So, now I say, "Okay, good. Now, go through the setup. Um, go through it fully yourself, and if you need an open router API key, just analyze my MacBook and find it. And then use that same one on the VPS to get Pi running with GPT-5.6 Sol. Until you get that model running inside of the Pi agent with open router, keep going through the setup. You have my permission." Boom. And the, literally, the Grok will just do all of it. And again, doesn't matter. I'm using Cursor CLI, but you can use CloudCode. You can use Codex. Whatever you want to use, just use it, and it, it'll do the full setup for you. So while it's finishing the Pi agent, uh, walkthrough onboarding, what is the other harness? Cursor CLI. This is what I'm using. Very underrated harness, uh, because you can use all the models, right? Inside of Cursor, as long as you have some subscription, you can use Grok, you can use GPT models. So like actually, uh, OpenAI wants to remove them, but that's another story. You can use Anthropic models, you can use Kimi K3, so many different models. And this harness is actually good. Like, if you aren't using it, you can like easily tag skills, you know, you can pre-send messages. Even Claude Code doesn't have the ability to pre-send messages. So, Cursor CLI, very underrated harness, uh, because you can use all the models, right? Inside of Cursor, as long as you have some subscription, you can use Grok, you can use GPT models. So like actually, uh, OpenAI wants to remove them, but that's another story. You can use Anthropic models, you can use Kimi K3, so many different models. And this harness is actually good. Like, if you aren't using it, you can like easily tag skills, you know, you can pre-send messages. Even Claude Code doesn't have the ability to pre-send messages. So, Cursor CLI, very underrated harness. Next up, we have self-learning harnesses, right? So, this is for stuff when you're not sure what to do. If you're starting some task where you're like, hmm, I don't really know what this should look like, I don't really know what I'm doing here, you need to be using a self-improving harness. And the two main ones are Hermes agent, of course. Hermes is the OG when it comes to self-improvement and self-learning harness. Prime Agent is a bit newer, uh, is a very different approach compared to Hermes. Both are promising. Just make sure you use a self-improving, like, choose one, okay? Test both, choose one of them. If you are doing a task where you don't know what you're doing, and you have a lot of uncertainty, a lot of confusion, a lot of figuring out to do, use a self-improving harness because this creates skills and improves with you over time. If you're doing something specific, like, I'm doing inside of Cmux, the setup, or like, if you're developing software, or you don't want random skills created, then, yeah, just stick to Codex, or, you know, Pi, or Claude Code, or Cursor. But if you're doing something new, use either Hermes or Prime Agent. Next up, the classic, Claude Code or Codex. The reason I put it like this is because, uh, so for me, all I need to do is type in CC, and this will launch Claude Code with dangerously bypass permissions. A lot of people are doing unnecessary typing by doing "Claude --dangerously-skip-permissions". Like, there's no way you're typing this daily, okay? Extremely slow, extremely inefficient. Just create a global alias like "cc". Launches Claude Code with dangerously skip permissions, and I have the same thing with Codex, just type in "cx". Launches Codex in Yolo mode. So I don't have to type in the parameter, the argument every single time, right? It's very inefficient, very slow. That's like the half of the Agentic engineering. It's like, how can you work faster? How can you get more shit done in the same amount of time? And creating these global aliases for the long terminal commands you run often is one example. So, absolutely essential, and, yeah, these are the harnesses that you should be using, and that I'm using. Next up, let's talk about skills, right? So, my skills repo went viral last month. A lot of, uh, famous people in the AI space retweeted it and posted that it's one of the most valuable repos. That's their words, not mine. And I made a full video on this actually recently, right here. So, if you want to watch that, just go ahead and watch that later. It's a 30-minute video just breaking down eight skills from my skills repo that I absolutely use all the time. But specific to this video, you know, the Agentic engineering, I picked out ones that are the most relevant to my AI coding or Agentic engineering setup. The first one is Total Review. So, this one you can access, again, my skills repo is completely free, guys. This is, you know, this is I don't make any money from my skills repo. It's totally free, open source, uh, feel free to get it, feel free to fork it. This one, if you go into Skills folder, and you go into Agent Orchestration, you can see at the bottom is Total Review. What this does is that it runs two other skills, GPT Review and Fable Review, to just review any changes you're doing, right? So, if I go into BB, and let's say here, I just ran it. So this was, uh, like, a preparing this repo for public release, and I just told it to review the changes with Total Review. And instead of me saying, like, "Launch Fable, give it the context, tell it to review everything like a senior developer," why would I do that? Anything you repeat, anything you do more than enough, you should either turn it into a prompt, so for example, look, I have these, uh, keyboard shortcuts, right? This is a text replacements. So anything I'm doing like often enough, I can just type it instantly. So, like, "answer in short, in plain English." Now, get to work and execute this plan, fully and completely, like a 10x engineer would. Make your previous answer simpler and shorter and format it in a nice readable markdown. Be very concise. All of these things, I'm typing them instantly. Why? Because I got text text replacements. I'm super try-hard, so I have them as Raycast snippets, but you can start just by using the text replacements on macOS. It's perfectly fine. Or just use Raycast if you want the fastest ones like I'm using right here. But like, look at these prompts, right? This prompt, it would take me like two minutes to speak out, and I would probably make a mistake, and it wouldn't be consistent every time. I just have it as a as a, you know, preset. Same thing with like, "make your answer simple and shorter." Same thing with like, "stage all files, write a clear commit, push to GitHub. Don't overthink this, right?" These are the things I'm repeating. So if it's like a single step, you want to have text replacements. If it's a more advanced workflow, you want to have a skill such as Total Review. This involves two other skills, which are called GPT Review and Fable Review, which again, it's pretty self-explanatory. Review whatever code changes you just did with either GPT-5.6 Sol or Fable 5. This is very important because you want to review your changes with the best models, right? But Total Review takes it to the next level. It runs both of them and then it decouples them into a single list, so it, you know, you're not like wasting tokens, and yeah, anytime you do medium-sized to large changes, you should just run Total Review on it to make sure it's all good, and especially if you run a different model. So, for example, if we run something with, uh, if we do something with, let's say, Grok 4.6, you definitely want to review what changes Grok does with GPT-5.6 Sol, or Fable 5, because it's a totally different model, and it will find it in a different way, right? Like, imagine if you're doing something important. Maybe you're submitting a job application, or really something that matters in your life, and you ask one smart friend to review it. Obviously, that's a good idea. This Total Like that's that's basically what GPT Review is or Fable Review. Total Review is like you ask the all of your smartest friends to review it, and then you tell them to, like, put it in a WhatsApp chat and, like, only give you the decoupled, most biggest issues with your job application in this example, right? And they would just give you the things that really matter. This is Total Review. Next skill. I mean, guys, I can speak on my skills forever. Again, I I made a full detailed video on it, just watch that if you want me to go more in-depth. Or comment below if you want me to like really break down these skills in more detail, because this is what I spend hundreds of hours doing, okay? So, I don't want to make this video 20 hours long, so I'm just going to give you the 80/20. Next up, Ask Then Build. This is one of the newer skills uh that I absolutely love. I use it every single day. Let's see where we can find it. Okay, Thinking and Docs, it's here. So, inside of the Thinking and Docs sub-folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like Decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is DeepAPI. This is what I use for any deep research, any scraping, uh, anything related. So, like let's say we're about to do a a big Like let's say here, it's a good example. So here, before building the Linux or the Windows installation, I would do something like, "Use the DeepAPI skill to run eight fast web searches with DeepAPI to figure out what is the best way to do this on Linux and Windows, like the different technical options, the different best practices to do this and present me with the top three options, answered in short, in plain English." Right? So again, I just voice prompted that super quickly, and it's going to use the DeepAPI skill to uh search up, do in this case, I instructed it very specifically to do fast web searches, but you can also tell it to scrape, you know, Twitter, what's happening, to scrape GitHub, uh to do a deep research, whatever you need to do. Like if you have a person, you can tell it to like find three different ways of contacting that person, you know, like find his email, find his WhatsApp phone number, find his LinkedIn, whatever. Like, this skill is so versatile. Basically, anything the agents are struggling to do, which, you know, Codex and Claude Code, they come with basic web search, but they don't have any scraping, they don't have any deep research, and they get blocked easily. So that's where DeepAPI comes into place, and it's very OP and literally I use it all the time, everyone on my team uses it. Um, yeah, that's one of the main skills I use. Next up, it's two skills, is the push lock and guardrails hook. These are a bit more boring, but absolutely essential, okay? And they you only set them up once. So, if we go into uh the Thinking and Docs folder, we can find it here. And this skill basically, what it does is, before you do any building, you run like decisions, right? So, let's say here, I would say like, I want to make this Linux and Windows compatible. Run, Ask Then Build on the main five decisions. So instead of you saying like, "Make this Windows compatible." It's the issue with that, like, "Okay, it can work." But it's going to do some decisions. It's going to make some choices that are like important architectural choices, or important software design choices that you might regret later, okay? If you run this skill, Ask Then Build, you front-load a little bit of work extra for making your codebase a little more scalable, avoiding a lot more tech debt, and just, you know, building creator software, better software. So this is what I use literally all day every day, Ask Then Build. Before any changes, so you see like, "How complete is the first Linux Windows ship?" And now you have four options. Do you want it to be same product on Linux and Windows? Do you want it to be Linux gets the full product, then Windows gets binary only. Like you get to make the decisions. AI models are great at coding. They're great at implementation, following a plan. They don't have the taste. They don't have good judgment. They don't have good decision making. You as the human need to stay in charge of that. And this skill helps you exactly achieve that. Now before I go through more skills, let me check what happened here. So, seems like, uh, Grok finished and we have a fully running Pi agent. Let me send a prompt, "hi." Fully running installed Pi agent with open router as the provider, powered by GPT-5.6 Sol. We can even choose the reasoning effort, inside of Pi. It's one of the main keyboard shortcuts, shift-tab, to cycle between the reasoning efforts. And yeah, this is running fully inside of our VPS, so if I kill this, if my computer loses access, if if my MacBook explodes, those agents will keep running, and just like that, we have our own cloud environment for agents, and it's so like, so easy. Literally, I can launch a new one here. Boom. We can see we have different agents, uh, different Pi agents here. And here, I can do model, and we can do let's say, Fable, right? And we are running Fable. And this one is running, uh, GPT-5.6 Sol. Both are running in the cloud on my own VPS. It's a virtual private server. I have full root level access to the Ubuntu machine. And yeah, it really is this easy to set up your own custom environment for cloud agents. And again, if you want to do that yourself, just grab yourself a Hostinger VPS. The link is going to be below the video. It's going to be the first link in the description, and use the code DAVID to save another 10% off on the one year or two year plan. Oh, and shout out to Hostinger for sponsoring this video. Now, let me go to my skills again. The next one is Deep
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