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

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

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

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

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

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,

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

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.

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

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

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

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,

"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

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

enduring prompt hack is describing what

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

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

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

instructions. These are just instruction

files that are stored somewhere inside

CodeX. And these skills, you can find

them by clicking plugins and you can

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

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

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

the video, turned it into the full intro

and then it outlined the rest of the

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

the background and it is going to create

a skill that will show up here called

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

simple skill, but look at this. It

created it in the exact format that we

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

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

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

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

actually encapsulates both of these two

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

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

on Codex, which is just like co-work,

and you can also do coding tasks on

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

chat with an AI agent. That's what I'm

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

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

starts going, I'll see it here on the

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

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

it can search the web, it can find any

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

getting better every single week,

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

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

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,

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

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,

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

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

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

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

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

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

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

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

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

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

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

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

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?

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

creating content. That's kind of my

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

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

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

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

need to understand in order to become AI

agent native, AI agents are going to

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,

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

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

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.

And one thing you need to realize with

automations is you can kind of act in

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

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

computer. So, I can go to a tool like

Codex. Codex has the best computer use

tool in the world. It's built directly

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

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

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

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

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

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

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

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

open-source model in the world was

released. It's called GLM 5.2,

and it is incredible at front-end

design. And many people are saying GLM

5.2 is just slightly worse than Opus

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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.

Obviously, AI agents are becoming more

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

background. Trend number eight is that

frontier AI agents are getting more

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

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,

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

with like a superhuman AI assistant in

the background. It's going to be

awesome. Thank you guys so much for

watching. I hope you got a ton out of

this, and I'll see you here for the next

one.