9 AI Agent Skills To Get Ahead of 99% of People

If you want to get good at using ChatGPT, Claude, Claude Code, Co-work, Codex, or any other AI agent platform, you're in the right place. Today, we're

talking about becoming agent native.

We're the person at your company with the most knowledge about using AI agents effectively. In this video, we're going

effectively. In this video, we're going to be covering the nine inevitable trends in the AI agent space that if you understand, will make you 10 times better at using AI agents in business,

[music] no matter which agent tool you use. This video is not about the latest

use. This video is not about the latest tips, [music] tricks, skills, or weird prompt engineering hacks, because the truth is most of that stuff will change over the next year and likely will

become irrelevant. In this video, we're

become irrelevant. In this video, we're going to be talking about the nine inevitable trends that won't change.

Let's dive into trend number one.

So, the first trend that you need to understand in order to become agent native is that AI models are getting much smarter. And so, when I say AI

much smarter. And so, when I say AI models are getting smarter, I mean that we are moving from a world of prompt hacks to just saying what you want in

natural English. For those of you who

natural English. For those of you who were around in 2023, early 2023 specifically, when ChatGPT first came out, every other Twitter thread was a

ChatGPT prompt hack. And the most popular one was "I want you to act as."

People would say things like, "I want you to act as a virtual doctor. I will

describe my symptoms and you will provide a diagnosis and treatment plan."

Some people were even talking about how you should say, "I want you to act as a Linux terminal." And now, in 2026,

Linux terminal." And now, in 2026, nobody does this. You just ask for whatever it is that you want. "I want

you to act as" basically does nothing.

Similarly, for those of you who were around in the early cursor days, in the early days of vibe coding, you remember how important it was to at-mention the file that you want to edit. And people

started calling this context management because you were always having to @mention the different files in your code base. And now, all the best

code base. And now, all the best developers that I know simply just type prompts into Claude Code or Codex. And

oftentimes, people use the voice mode and just yap into Claude Code. And they

just send the prompt off. And they don't spend any time @mentioning the different files because AI agents and AI models are getting so good that all it requires

is natural language. The better you are at describing the thing that you want, the better AI is going to be at creating the thing that you want. You don't

actually need to know the hacks. You

just need to be able to describe to a computer what it is that you want. And

again, this is true across the board.

It's not just normal LLM work or vibe coding. It's also AI-generated images.

coding. It's also AI-generated images.

For those of you who were around, you remember that Midjourney was full of hacks or these things called parameters.

So, if you wanted an image that was high quality, you would use {dash} {dash} quality or {dash} {dash} Q. If you

wanted it to be personalized, you would do {dash} {dash} P. If you wanted to use a style reference, you would use {dash} {dash} Sref. And then you would type out

{dash} Sref. And then you would type out this code that maps to a specific style.

Fast forward to today, and if you're using the GPT image 2 model, none of that matters. There are no hacks. It's

that matters. There are no hacks. It's

simply about descriptions. So, I can click on this image right here. Please

make his shirt green. Make his hair orange. I'm talking about the guy on the

orange. I'm talking about the guy on the left. The guy on the right, give make

left. The guy on the right, give make his glasses blue. Make his hair green.

Make the background logo yellow. Make

the whole entire background rainbow-colored. And make the text say,

rainbow-colored. And make the text say, "English is all that matters." And then I can just, you know, run this as many times as I want. And English is all that

matters. There's literally no prompt

matters. There's literally no prompt hacks. Just describe what you want and

hacks. Just describe what you want and there you go. All of these were generated and I you can pause the video, look at my prompt, which was just me

speaking into the GPT image two prompt, and it came out nearly perfectly for all of the images. So, the lesson of trend number one is he who can describe what

they want the best will inherit the world. Said another way, the only

world. Said another way, the only enduring prompt hack is describing what you want. And so, the second AI agent

you want. And so, the second AI agent trend that you need to understand is that skills are taking over and they will self-assemble. And so, if you use

will self-assemble. And so, if you use Claude Code, Claude Co-work, or if you're like me and you use CodeX, you probably have set up a ton of skills.

Like I have this Excalidraw diagram skill. I also use plugins like the

skill. I also use plugins like the documents plugin or the Gmail plugin. I

also have a YouTube thumbnail plugin, a YouTube researcher plugin, or a YouTube channel brief skill. All of these are

skills. And all of these skills point to

skills. And all of these skills point to instructions. These are just instruction

instructions. These are just instruction files that are stored somewhere inside CodeX. And these skills, you can find

CodeX. And these skills, you can find them by clicking plugins and you can click skills. And these are all of the

click skills. And these are all of the skills that I've created. I've created

over 100 different skills that I use every single day. And so, whether you use Claude, and that includes the Claude desktop app, or Claude Co-work, or

Claude Code, or if you use CodeX or Cursor, all of these tools have skills.

And all skills are are task-specific instructions for the agent. And so, this is how many people started creating skills if they were using a tool like Claude. And this is the way that I

Claude. And this is the way that I actually don't recommend or I actually just personally don't like doing. You

can just go to the customize tab. On

CodeX, it's the plugins tab. But you can go to skills and you can hit plus and you can like you can create a skill by uploading a skill and you can upload

these skill files and so you can manually type these out and you can create these skills that your agent can use when your agent deems it necessary to use these specific instructions. And

this is not the way I create skills. The

way that I create skills is I will tell the agent to do a thing, then I'll get the agent to do the thing better or to make the thing better and then I'll just tell it to turn it into a skill. For

instance, I have a skill called YouTube researcher skill. Please look up my

researcher skill. Please look up my latest Codex video which is called something like learn Codex in 95% of Codex in 20-something minutes. I want

you to create write out the exact hook from that video and then outline the rest of the video. So here's the agent's response. It extracted the transcript of

response. It extracted the transcript of the video, turned it into the full intro and then it outlined the rest of the video. This is really good. I have no

video. This is really good. I have no notes for this. Please, I want you to turn this into a skill called hook outline. Okay, so now it's working in

outline. Okay, so now it's working in the background and it is going to create a skill that will show up here called hook outline. So now that that's done,

hook outline. So now that that's done, I'm going to make a video on Devin the AI tool very soon so I can say I'm making video on Devin. Please try to decide what I would say and you to

create a uh slash hook outline. We've

created a skill and it should create it in that exact format that I just showed you. There you go. I know this is a very

you. There you go. I know this is a very simple skill, but look at this. It

created it in the exact format that we specified earlier. And let's say I

specified earlier. And let's say I actually want these links as hyperlinks in the outline. I'm going to just say, "Hey, please remake this. If the sources

are relevant in the outline, please include it there. Then once you're done, I want you to update the skills so you do that in the future. Okay, here it says done. I also updated the hook

says done. I also updated the hook outline skill. And so in the future hook

outline skill. And so in the future hook outlines, I'll put the source links directly in the relevant intro or outline beats. And there you go. We have

outline beats. And there you go. We have

the intro and the outline with relevant links within the actual description, not just listed at the bottom like it is here. So the takeaway for trend number

here. So the takeaway for trend number two is just to use skills often, especially for repeatable tasks. And the

second part is when you notice where a skill can be improved, just ask. And the

meta trend or the longer term trend that I want you to notice is you're going to see this process happen automatically.

Your AI agent is just going to create skills for you. And then

depending on your responses, your skills were will auto update. The The AI tool that does this the most is actually the Hermes agent, which is kind of just a

better version of Open Claw. Their AI

agent is really good at auto updating skills, where you actually don't even need to ask. And so the future of AI agents is just auto updating skills

depending on how you interact with it.

So trend number one, smarter AI models.

Trend number two is skills are becoming really important and soon they will self-assemble. And trend number three

self-assemble. And trend number three actually encapsulates both of these two trends. Trend number three is that AI

trends. Trend number three is that AI agent platforms are becoming general purpose platforms. And so when I say general purpose platforms, I mean super

apps. And the two main super apps that

apps. And the two main super apps that are available on the market are Claude Desktop and Codex. And Claude Desktop, if you can think of a super app, the

three main functions are just chat, co-work, and Claude code. You can chat with Codex. You can create presentations

with Codex. You can create presentations on Codex, which is just like co-work, and you can also do coding tasks on Codex. And so, the main takeaway is that

Codex. And so, the main takeaway is that these model providers, like OpenAI and Anthropic, are building platforms. So, this is Codex, one of the super apps,

and it has basically everything that I might need in order to do knowledge work. It can create a new chat, so I can

work. It can create a new chat, so I can chat with an AI agent. That's what I'm doing here. I also have all my plugins

doing here. I also have all my plugins and skills that I can and I can create just by talking to my agent. I have all of the automations. So, anything that I type here, I can turn to an automation.

We'll get to this in just a second, but you can create automations. And as of 2 weeks ago, they also added sites. So,

any website that you create with the plugin sites on Codex will actually host the app for you. It'll put it on the internet. This is a direct competitor to

internet. This is a direct competitor to Replit, Lovable, Bolt, tools like that that do all of these hostings. You can

just do that now inside Codex. Right

now, this is only for internal tools and internal sites for you and your team, but very soon, I have a feeling that this will be for everyone. You'll be

able to host your ChatGPT sites and share them with anyone. A good super app, you should be able to multitask.

So, at any point, I can hit command N, please do research on my email, tell me what I need to respond to. And if I want

to, I can type Gmail, or we can use the Gmail plugin. And then, as soon as that

Gmail plugin. And then, as soon as that starts going, I'll see it here on the side panel. I can hit command N, please

side panel. I can hit command N, please tell me my schedule for tomorrow. And

then, as soon as that sends off, we can see that it's working here on the side.

Please tell me the improvements that I need to make for my personal website.

Let me know. And as you can see here, you can multitask. You can talk to the agent that's running in your super app, and you can talk to many agents in parallel. And then the most important

parallel. And then the most important part in my opinion, or at least the part that I I'm most excited about, is the in-app browser. Your AI agent, because

in-app browser. Your AI agent, because it can search the web, it can find any link, right? Here we can see that this

link, right? Here we can see that this gave me a link. I can right-click on it and hit open it in browser, and it will open it up here because this is a full browser. And this built-in browser is

browser. And this built-in browser is getting better every single week, basically. And so that's all the general

basically. And so that's all the general agent stuff, but they also have built-in all of the Vibe Coding stuff. Like you

can press command J, and you can open up a terminal, and you can run Claude, right? You can run Claude directly

right? You can run Claude directly inside Codox, which I do quite often because Claude is better at design than the OpenAI models, but I like the Codox

interface better. I like the super app

interface better. I like the super app better. And so the main takeaway from

better. And so the main takeaway from trend number three, that involves general-purpose platforms or super apps, is you should just simply learn one of the super app platforms. They are here

to stay. They're incredibly fun to use,

to stay. They're incredibly fun to use, and they're incredibly useful. So the

fourth trend that you really need to understand in order to become AI agent native, is that these AI agent tools, or these AI agents, are connecting to the

tools that we already use. And so on these super apps, you can very easily tell your AI agent to summarize Slack, summarize your email, or also grab

everything from Linear. But this is only just the beginning. Not only can you have your AI go check these data sources, you can communicate with AI agents directly through these platforms.

So you guys should probably recognize this app right here. This is iMessage, a tool that billions of people use. Well,

guess what? I have Claude Code and Codox directly inside Chorus, and I can say something like, "Please, can you analyze

my latest 20 videos on my YouTube and make a personal landing page for them

that I could send to potential sponsors.

And so this is actually a group chat with Ange and Muhammad and the AI agent is going to respond to me directly inside this chat. And look at this. It

just responded. So this is my content agent that I created on chorus.com. Love

this. Pulling your latest 20 now and building a sponsor-ready page. Give me a few minutes and here we go. We can see this page right here. It opened it up

and I created this directly through iMessage. And so the general-purpose

iMessage. And so the general-purpose platforms or super apps or or AI agent platforms meant to be used on the computer, whereas these AI agents that connect to the tools that we use where

we can communicate with them through iMessage and Slack. For these you should be using cloud-based AI agents. And so

these are AI agents that never turn off.

And these are a lot better for agents you want to use in a group. Maybe of a small team, maybe you and one other person are creating a company. It's

great to use cloud-based agents. So we

just created an iMessage agent. Now let

me show you how you can create a Slack-based agent. So this is the agent,

Slack-based agent. So this is the agent, Riley's marketing agent, that I created on chorus.com and I can very easily give it a phone number to text directly

through iMessage and it's literally one click. It'll give you a number, you can

click. It'll give you a number, you can text that. But also I know a lot of

text that. But also I know a lot of people for work like to use Slack. So

you can go to your platforms and we've already added the SMS and here you can also add Slack. And so now I am in my

Slack channel and I can just type @chorus. Hey, I need you to do in-depth

@chorus. Hey, I need you to do in-depth research on Alex Hormozi and how he's done such a good job with his YouTube channel and I want you to tell me 10

ways that I can apply all of his insights the way that he makes videos into making my content better. Also look

at Theo from T3 chat that guy on YouTube and then I want you to make a little landing page which just kind of describes how I can apply it to my own work. And when you're done I want you to

work. And when you're done I want you to email it to Ange and Emily. And you can see here that Chorus just reacted to it.

So my agent has literally reacted to it and so now I know that it's working on it. And there you go. A couple minutes

it. And there you go. A couple minutes later we do see this response from the AI agent and I just gave it the email addresses for those people and now it's

the Chorus agent is thinking and it should give me a link to that page. And

there you go. The AI agent directly inside Slack responded with this public link and we can open this up and here we go. We have the Hormozi and Theo

go. We have the Hormozi and Theo playbook. It analyzed all of their

playbook. It analyzed all of their YouTube videos and gave me this report that I can just send to people. This is

public on the internet. And just like the super apps the same exact way you can also add skills. You can browse a marketplace of skills just like you can in the cloud desktop app and the Codex

application. You have platforms where

application. You have platforms where you can message it directly through iMessage Slack WhatsApp and Telegram.

And that's kind of the difference between these cloud agents and these super apps is because this is running in a computer in the cloud you can message it through all these different platforms and your computer doesn't need to be

open. And again you have all of these

open. And again you have all of these different connections you can connect it to all of your different tools and you can do cron jobs which we'll get to in a little bit. And so trend number five

little bit. And so trend number five that you really need to understand to become AI agent native is that foundational skills will rise to the top. So as AI gets smarter which was

top. So as AI gets smarter which was trend number one it becomes easier to create skills or repeatable instructions for your agents. As AI agents become

more general purpose and as general agents, specifically cloud agents, enter the tools that we use like iMessage and Slack, foundational skills will be what

matters. So, you can think of it as the

matters. So, you can think of it as the at the top you have like hacks, like strategies like we were talking about early, prompt hacks or different APIs you can use. And then in the middle you

have tools, right? You have your for the general agent platforms you have Codex and Claude. On the cloud side you have

and Claude. On the cloud side you have tools like Poke and Chorus and others.

You have the tools, but what actually matters is not the tools that you use, rather the foundations that you have as a person. And a lot of these are

a person. And a lot of these are communication skills. Because agents are

communication skills. Because agents are going to start to feel like just talking to a team of AI agents in platforms that are extremely intuitive, partly because super apps are going to be really easy

to use, and then also AI agents will just live in the tools that almost all humans already know how to use, what matters is just communicating with these agents. Can you communicate with Claude?

agents. Can you communicate with Claude?

Can you communicate with Codex? How are

your delegation skills? Part of that is understanding what good looks like. And

so that means you need to become an industry expert at whatever it is that you're doing. I'm really good at

you're doing. I'm really good at creating content. That's kind of my

creating content. That's kind of my superpower. I am definitely able to

superpower. I am definitely able to delegate an AI agent to do research on content or to create a thumbnail or to create anything else that has to do with content because I understand what good

looks like. If you asked me to create a

looks like. If you asked me to create a discounted cash flow analysis on a company, I would not be good at delegating to an AI agent because I don't know what a good DCF analysis

looks like. On some of the other like

looks like. On some of the other like soft skills, like mental clarity and multitasking, if you are already good at this thing, like managing people and doing all of these things, you're going

to be good with AI agents. If you're a good manager of people, you're going to become a good manager of agents. And

that's because communicating with AI agents is going to feel like communicating with a human very soon, except they're going to be working 24/7 and you're going to be able to add skills to them. You can't really do that

to a human as easily as you can do it with an AI agent. And so, the point I'm trying to make in trend number five is that AI agents are kind of working its way into all of the tools that we use,

almost like Wi-Fi. It's just in the background. You have a team of AI agents

background. You have a team of AI agents always working. And in this new world

always working. And in this new world where you have agents working, foundational skills will rise to the top and I recommend getting good at these five things. Trend number six that you

five things. Trend number six that you need to understand in order to become AI agent native, AI agents are going to work asynchronously. Meaning you can

work asynchronously. Meaning you can take anything that you type into Codex or Claude and you can turn it into an automation. So, if you remember earlier,

automation. So, if you remember earlier, we created this hook outline skill and then we used it on Devin. And what if I wanted an AI to do this every morning?

And I wanted an AI to actually come up with the best possible YouTube idea and then it I want it to create a hook outline. And this is just something I

outline. And this is just something I can read in the morning that might give me a good idea for what content I should make. All I need to do is tell Codex to

make. All I need to do is tell Codex to do that. Hey, I want you to do research

do that. Hey, I want you to do research on the best possible video that I could make every single morning at 9:00 a.m.

and I want you to send me one of these hook outlines. Create this automation.

hook outlines. Create this automation.

And one thing you need to realize with automations is you can kind of act in the future. Anything that's useful now,

the future. Anything that's useful now, you should automatically think to yourself, would this be useful on a recurring basis or would this be useful at a very specific time? The same way you can tell it to do something every

morning at 9:00 a.m., you could also do it tell you to do it four times. You

could say, "Please do it next Thursday, next Friday, the following Thursday and the following Friday." You can be very specific or you can make it recurring.

And AI, because it's just like talking to a human, will just set up the automation for you. And you can see here that it created this automation, daily best video hook outline. We can go up to

the automations tab, and there it is.

Daily best video hook outline. And here

is the description of your automation.

And you can manually change it. You can

tell your AI to change it. And you can test it by clicking run now.

So, the way I kind of look at this trend is in the old world of AI, you had tools like Zapier, where it was kind of this niche skill to learn automations, learn

AI automations, so that you can set up a trigger and some advanced workflow. But

this new world, we're moving to a world where you can just communicate with AI agents in natural language. So, anything

that you do inside Codex, you can say just do this on a trigger. Every single

time this thing happens, just do this.

And AI agents are able to do that. And

you can set up you can set up a routine, and whether you're in Claude, whether you're in Codex, you can create these automations with natural language. You

can also do this on Cursor. Cursor is

very similar to Codex, except it's more for developers. But again, there's this

for developers. But again, there's this automations tab. In order to create an

automations tab. In order to create an automation, simply tell your agent to set up an automation. It's that easy.

All AI agent platforms are becoming automation platforms. The seventh trend that you need to understand in order to become agent native, and this is probably the coolest and most futuristic

one. AI agents can fully control your

one. AI agents can fully control your computer. So, I can go to a tool like

computer. So, I can go to a tool like Codex. Codex has the best computer use

Codex. Codex has the best computer use tool in the world. It's built directly inside Codex. And this will allow your

inside Codex. And this will allow your agent to fully control your computer.

After this video, what I want you to do is I want you to just try this computer use. Tell it to do something on your

use. Tell it to do something on your machine. AI agents are really good at

machine. AI agents are really good at controlling your computer. Now,

sometimes they're a little bit slow, but you'll be surprised at how fast it can do certain tasks. I believe that within 12 months to 18 months, AI agents will

be better than humans at controlling a computer. And computer use is really

computer. And computer use is really useful when one of the plugins don't fully work, right? You can use something like Gmail, which uses their servers

behind the scenes, and it allows you to access the functionality of Gmail without controlling the interface that is your computer. But, not every task that you might want to do on a computer

has a perfect plugin. Maybe sometimes

your AI agent that you're using in Codex might actually be able to just open up a browser tab or open up a file on your computer or look in your downloads. It's

sometimes really useful to allow your AI agent to just fully control your computer. It can click, it can type, it

computer. It can click, it can type, it can do all the things that you might want to do on a computer. Another way

that it's sort of controlling your computer also has browser use. And so,

it can either use your Chrome browser use, it can control Chrome, or it can control the browser that's inside Codex.

Meaning, it'll just open up the browser.

And remember, this browser right here inside Codex is becoming just like Chrome. It is a full browser built into

Chrome. It is a full browser built into Codex. The ways in which it can use your

Codex. The ways in which it can use your computer are computer use, in-app browser use, and external browser use like Chrome. So, it can open Chrome and

like Chrome. So, it can open Chrome and control it like it's a human. Okay, so

trend number eight that you need to understand to become agent native comes in two parts. The first part is that frontier AI agents are getting way more

expensive, and it's time to token budget. With the latest release of Fable

budget. With the latest release of Fable 5, companies are realizing how expensive AI models can truly be. For instance, I used Fable to build a mobile app. It was

actually like a lovable clone that I built using Fable 5. And this was 9 to 10 prompts. If you were to have done

10 prompts. If you were to have done this billing through the API, which is how much this model will cost normally, it would have cost it around $250 to

generate all the code. Yes, this

generated for a very, very long time, but it was still only nine prompts. And

it's not like it went overnight. And so,

just for those nine prompts, it was around $250.

And the second part of this trend, while the frontier models are getting really expensive, open-source models are getting significantly better. And the

best open-source models are coming from China. And then yesterday, the best

China. And then yesterday, the best open-source model in the world was released. It's called GLM 5.2,

released. It's called GLM 5.2, and it is incredible at front-end design. And many people are saying GLM

design. And many people are saying GLM 5.2 is just slightly worse than Opus 4.8. And this not just in design. This

4.8. And this not just in design. This

is across the board. GLM 5.2, which is significantly cheaper than Opus 4.8, is almost as good. And I'm going to leave you with

good. And I'm going to leave you with some practical things to do. So, I'm

just going to show you how you can use GLM 5.2 directly inside Cursor. And so,

over the last 48 hours, I've just been testing GLM a ton. And you can see here in my model selector, I have this option z-ai/glm

5.2.

Hello, what model are you?

I'm able to use Cursor and use GLM 5.2.

And you can see here it says, "I'm GLM 5.2." And so, I'm going to show you

5.2." And so, I'm going to show you exactly how you can set this up. Okay,

so, by the way, this is not sponsored at all by OpenRouter. This is something that you should definitely understand if you want to become fully agent native, and that is how to use APIs,

specifically OpenRouter, because it allows you to use all of the different APIs with a single API key. How can you use all of the different models effectively? If you go to open router

effectively? If you go to open router and you create an account, you can get an API key to use any model. And once

you get your API key, you can go to cursor. And the steps are relatively

cursor. And the steps are relatively easy. In cursor, if you go to settings

easy. In cursor, if you go to settings and you click on models and you go down to API keys, you're going to paste your API key right here. And you're going to

enable this and then you're going to enable the override open AI base URL and you're going to paste this right here, exactly as is. Once you do that, you need to go to view all models and then

you're going to add a custom model and then you're going to paste this exact string z-ai/glm-5.2 and press add. Once you do that, you

will be able to use z-ai/glm5.2 and this is the best open source model in the entire world and I guarantee you you are going to be surprised at how powerful it is. And so this video is not

about glm-5.2.

This video is about the trends and the trends are very clear. The frontier

models like fable and whatever models open AI releases in the future, these do not appear to be getting cheaper.

However, what does seem to be happening, these Chinese open source models seem to not be getting more expensive yet they're catching up with the frontier AI models. And so if there's one takeaway

models. And so if there's one takeaway from this trend, it would be to use a tool like open router so that you get access to all of the different models and test the open source models and see

how they compare to all the workflows where you're using gbt-5.5 high and Claude fable. There may be a ton of

Claude fable. There may be a ton of tasks that you do where you can just use an open source model and save five times the amount of money. And the ninth and final trend is something that I have to

just show you. And that is real-time voice paired with it controlling my computer. Before this video, in about

computer. Before this video, in about three prompts that did take around 20 minutes to generate with Codex 5.5 on Codex, I created Riley's Jarvis. This is

a little desktop app that I can open up right here. Let me show you something.

right here. Let me show you something.

So, I'm going to just go ahead and I can turn this recording on. Hey Jarvis, what I need you to do right now, can you open up the Comet browser?

Done.

Can you open up a new tab? I want you to go to LinkedIn.

Got it. Let me open a new tab and head to LinkedIn.

I opened a new tab and loaded LinkedIn.

Very cool. Can you actually, I don't need LinkedIn. Can you open up Cursor

need LinkedIn. Can you open up Cursor for me?

Opened Cursor.

Very cool. Can you type a prompt down there at the bottom where it says send follow up? I want you to just ask Cursor

follow up? I want you to just ask Cursor to make a very simple landing page. Can

you do that for me?

All right. I'll drop a quick prompt into that follow-up field now.

Yeah. Hey, thank you for typing it. Can

you enter that in for me?

Sure. I'll send that now.

Enter.

Nice. Thank you. Can you actually go to Notion?

Switching over to Notion.

Opened Notion.

Thank you. Okay, yeah. So, there I can see the Yeah, what do you think of my topics for the week? Um as you can see there.

Let me take a closer look at what's on the screen for that. I can see topics like Mythos timing, Codex update rumors, GLM 5.2 cloning Codex, and Cursor's acquisition.

Nice. Nice. Nice. All I'm trying to show you right here is that AI is getting significantly better at allowing you to speak to it in real-time while using tools. And you're able to just fully

tools. And you're able to just fully control your computer while speaking.

And another company that's working on this is called Thinking Machines. And

they did another demo and it actually looks better than GPT real-time 2. But

this is one of the most fun trends. You

can just speak to your computer and it can just take actions for you. And and

it's the worst it will ever be. It'll

only continue to get better and it'll get significantly faster and very soon it's going to feel like Jarvis. You're

going to be able to control your computer and this is only just beginning. All right, guys. There you

beginning. All right, guys. There you

have it. We covered a lot today. And

just a quick recap. Uh for trend number one, we talked about how AI models are just getting smarter. Prompt hacks are going away and saying what you want is in. Skills are becoming significantly

in. Skills are becoming significantly more important and you can create skills with natural language. Just tell your agent to create a skill and soon over time AI agents will self-assemble these

skills. Number three, probably the most

skills. Number three, probably the most important trend so far is that we're seeing these general-purpose AI platforms or agent platforms that I call super apps and you should absolutely learn one of these platforms, whether

it's Codex, Claude desktop, or Cursor.

These platforms are incredibly important to learn. Number four, agents are

to learn. Number four, agents are connecting to the tools we use, right?

Not only can you use these agent platforms on the computer, you can also start to use these different cloud agents directly in the tools you already use, whether that's iMessage or whether

that's in Slack. You can very easily set up one of these agents at chorus.com.

Number five, foundational skills rise to the top. I noticed the people who are

the top. I noticed the people who are best with AI agents are just the ones that are really good at like these soft skills or these foundational skills, like communication, delegation, understanding what's good looks like or

taste, in other words, mental clarity, multitasking. It's very important.

multitasking. It's very important.

Obviously, AI agents are becoming more asynchronous. All you have to do is ask

asynchronous. All you have to do is ask your agent to do things on a schedule and boom, automation. Also, AI agents can control your computer. And I showed on Codex that is the best platform for using computer use. I highly recommend

trying it out. It can fully control your computer. It can even do it in the

computer. It can even do it in the background. Trend number eight is that

background. Trend number eight is that frontier AI agents are getting more expensive. This show is showing no sign

expensive. This show is showing no sign of slowing down. Enterprises are willing to pay basically unlimited money for the best AI models in the world. And

unfortunately, with the amount of compute we have, it's just not feasible to get these for cheap. They are going to be expensive for a while. But

luckily, the opposite end of that trend is that local models like GLM 5.2 are getting significantly better for way less money. And I highly recommend you

less money. And I highly recommend you start looking into that. And then

finally, I showed you Jarvis. Real-time

voice is getting better. Real-time voice

compared with computer use is really fun. We're in the early stages of this,

fun. We're in the early stages of this, but pretty soon we're going to be controlling our phone and our computer with our voice. AI agents are going to be able to take action in the background, and they're also going to be able to take action directly on our

computer. It's going to be like Jarvis

computer. It's going to be like Jarvis with like a superhuman AI assistant in the background. It's going to be

the background. It's going to be awesome. Thank you guys so much for

awesome. Thank you guys so much for watching. I hope you got a ton out of

watching. I hope you got a ton out of this, and I'll see you here for the next one.