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Master NEW Grok Bot In 20 Minutes (What can it do?)

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Master NEW Grok Bot In 20 Minutes (What can it do?)

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910 segments

0:00

XAI and Cursor have just released a

0:02

brand new product called Grockbot.

0:05

Grockbot aims to allow us to build 247

0:08

always running virtual agents.

0:10

Essentially, these have their own

0:12

virtual computers that they run off,

0:14

enabling us to ideally automate far more

0:16

work than before. So, for this video,

0:18

I'm going to do a complete deep dive

0:20

into this product, going through

0:22

everything about it, so that you have a

0:24

full understanding as to whether or not

0:26

this is something that you should be

0:27

looking into. And by the end of this

0:29

video, I'm going to give you my complete

0:30

honest thoughts about this product,

0:32

whether or not it's something that you

0:33

should actually be signing up for or if

0:35

it's just a complete waste of time. And

0:38

this is something that you might be able

0:39

to do with some other tools already out

0:41

there. And before I dive in, this right

0:42

here is the virtual computer that this

0:45

agent is fully controlling by itself.

0:47

So, it's not just the browser. It's a

0:49

full-on computer with files and

0:51

everything. You can see right here, it's

0:52

actually doing some research uh into my

0:54

newsletter system on Beehive. You can

0:56

see it just loaded the page. If I go

0:58

down and click into the middle of the

1:00

taskbar with the file manager, you'll

1:02

see a whole file manager coming up all

1:04

specific to this particular agent

1:06

session that's running with its own file

1:08

system with images that it can download.

1:10

And obviously, this entire agent

1:12

computer is connected into a chat

1:13

interface, which is able to then

1:15

retrieve and pull information out of

1:16

that to obviously automate tasks and

1:18

pull back information for me to see. I'm

1:21

just quickly going to go through their

1:22

announcement page so you can see exactly

1:24

what this product is best used for. So,

1:26

real quick, meet Grockbot. AI teammates

1:28

you can give real work to. Bots can sign

1:30

into your tools, use them just like you

1:32

do, and come back with finished work.

1:34

You can see the interface right here

1:36

with the bots on the left hand side, the

1:38

chat interface right here. So, it looks

1:39

very similar to any other chat interface

1:41

that you've ever used for AI, of course.

1:44

But, as I scroll through this page right

1:45

here, really the main powerful part of

1:47

this is going to be the computer use

1:48

part of it. At least from my brief

1:50

amount of testing, this has probably

1:52

been the best integration of computer

1:53

use agents that I've probably ever used.

1:55

In this particular demo, it's asking the

1:57

user to sign into Salesforce in the

2:00

virtual computer. So, it has access to

2:02

that account rather than an API. It's

2:04

just giving it full access to Salesforce

2:06

to be able to click around and navigate

2:08

in their account from their perspective.

2:10

Scrolling down a bit further, message

2:11

bots like teammates. So, one really big

2:13

part of this is that they also have an

2:15

iOS app, which I will showcase in just a

2:17

minute, which I do think is a really

2:19

important part of this because these

2:20

virtual computers are virtual computers.

2:22

It's not running this locally on our

2:24

computer as computer use has been

2:26

through the likes of Claude Code or

2:28

Codeex. And just scrolling down a little

2:29

bit further, work with many bots at

2:31

once. Of course, you can create multiple

2:33

different bots. You can set them up all

2:35

with routines to be running essentially

2:37

24/7, constantly checking different

2:39

pages for different reasons and just

2:41

running and doing real work all the time

2:43

in the background. And one really

2:45

important thing that I am going to cover

2:46

in just a minute is showing a bot how

2:48

it's done. And we're going to be able to

2:50

essentially send a video of me doing a

2:52

piece of work on my computer to the

2:54

agent and it's going to be able to watch

2:57

back that video and fully recreate and

2:59

redo exactly what I was doing on the

3:01

computer. And so this particular feature

3:03

is honestly something that I have never

3:04

seen done before and no doubt about it

3:06

is going to save a lot of time when it

3:08

comes to just communicating how to do

3:10

particular tasks to an AI to get it to

3:13

replicate that. Okay, without further

3:14

ado, let's actually jump into Grockbot

3:16

to see exactly what it's capable of.

3:18

Now, to get Grockbot installed, all you

3:20

need to do is head over to their main

3:21

landing page, which is x.ai/bot.

3:24

And you'll see right here, download for

3:26

Windows, or if you're on Mac, of course,

3:27

it will just say download for Mac. hit

3:29

the download button and it's going to

3:30

install as a separate application on

3:32

your computer. This is not something

3:33

that we're going to be using through the

3:34

web. And once you've done that, it's

3:36

going to look something like this. So,

3:38

at the moment, I've already created

3:39

three different agents, which I'm going

3:40

to go through right now so you can see

3:42

exactly what kind of work I've already

3:44

been able to automate with this. And

3:45

don't worry if you do just want to try

3:47

this out. You don't have to pay anything

3:48

at all because they do have a oneweek

3:50

free trial. So, you can literally sign

3:52

up for free and start using it. Play

3:54

around with it and just see what you can

3:55

do with it. To be totally honest though,

3:57

it is very limited. you're not going to

3:58

be able to send that many messages

4:00

before hitting the session limit. So,

4:02

just be aware of that. Now, the first

4:03

thing that you're going to be prompted

4:04

to do is creating your first agent. If I

4:06

go to the top left and click on this

4:08

plus button right here, this is going to

4:10

allow us to create a new bot. And all I

4:12

need to do is just type in a name for

4:13

that bot. So, if I wanted to do a

4:15

schoolbot for the school.com community

4:17

that I have, I can just type schoolbot

4:19

and click create schoolbot. This is then

4:22

automatically going to load into the

4:24

chat interface right here. And right off

4:25

the bat, just based on the name that

4:27

you've given it, it's automatically

4:28

going to send a couple of initiation

4:30

messages to you. It obviously knows my

4:32

name. You can see here that it's doing a

4:33

little bit of thinking about the name

4:34

that I gave it. And we can see here that

4:36

it's already telling us, what do you

4:38

mainly want me handling on school? And

4:40

you can see it's already given me some

4:42

suggestions on what the school bot could

4:44

potentially be. Pretty much just because

4:45

I named it the school bot, it's already

4:47

been able to do this. Obviously, we can

4:49

just cancel out of this if we want to

4:50

just not go ahead with this right away.

4:52

But one thing that I can do is just

4:53

click on the name of the bot at the top

4:55

here. If I click into this on the right

4:56

hand side, it's going to allow us to

4:58

give it a little bit more information

4:59

about what this bot uh in particular we

5:01

might want it to do. So in my case, if I

5:04

wanted to create this bot to access my

5:06

school community from my account and

5:08

answer community questions

5:09

automatically, that is something that I

5:11

might be able to just type a title and

5:13

description for automatically here. And

5:15

then once I've updated that description,

5:16

the bot itself is going to obviously

5:18

know that information and then start to

5:20

work towards actually building that

5:22

automation out. And now that I've just

5:24

clicked out of that option on the right

5:25

hand side, you'll actually see that this

5:27

screen will pop up in the right corner

5:29

right here. You can see it says school

5:31

bots screen. And this is the virtual

5:33

computer that this individual bot now

5:36

has full access to. So if I just click

5:38

on the open button right here, it's

5:40

going to open up this virtual computer

5:42

in a full screen tab right here. And

5:44

here it is. It is a full operating

5:46

system that our agent is fully using.

5:48

It's got full file management as well as

5:50

Chrome installed. Now, we're also able

5:52

to control this computer, not only just

5:54

the agent. So, I can go ahead and click

5:56

on Chrome right here, and it should boot

5:57

up Chrome just like this. You can see

5:59

that I'm actually already logged into my

6:02

Google Chrome account as well. And that

6:04

is because it has shared context across

6:06

all of the other computers in this setup

6:08

as well. So just quickly jumping out of

6:10

this because in my previous session

6:12

where I was setting up a beehive

6:14

automation uh in this computer right

6:16

because I logged into my Google account

6:18

in order to sign up for this uh website

6:20

this schoolbot now has in its Chrome

6:23

browser access to my Google account as

6:25

well. So now it's able to fully access

6:27

anything uh that I do Google signins for

6:29

which is quite a lot of things. And so

6:31

it's pretty capable already. And just to

6:33

prove that this is an actual computer,

6:35

we can click in the middle part of the

6:37

taskbar right here and pull up an entire

6:39

file management system as well. So you

6:42

can see here we have a bunch of files

6:44

and file systems uh for our agents. Now

6:47

once again, this particular virtual

6:49

machine is shared across all of your

6:51

agents. So this is one computer that is

6:54

shared across all of your agents. So if

6:56

you ever need to delegate tasks between

6:58

one agent to the other, it will have the

7:00

full access to that same computer that

7:02

it's using. I have set up three

7:03

different bots already on this doing

7:05

three different types of tasks. So I'll

7:07

just quickly go through those. So this

7:09

bot right here is accessing Beehive,

7:11

which is a newsletter platform that I

7:12

use every single week for my weekly

7:14

newsletter. And pretty much what I want

7:16

to have happen is every time we do a

7:18

weekly newsletter, I want this bot right

7:19

here to come back and report to me all

7:21

of the statistics in terms of open rates

7:23

and click-through rates and overall

7:25

performance of the newsletter and just

7:26

read all that statistics for me and come

7:28

back and give me a summary. And so

7:30

essentially in order to set this up, all

7:32

that I did is I provided it with a

7:34

demonstration of how to go through the

7:36

beehive navigation on their website,

7:39

find the statistics, and then obviously

7:40

it's able to screenshot that, read it,

7:42

and then repeat it back to me. As you

7:44

can see here in my conversation with the

7:45

agent at the top here, you can see that

7:47

it was automatically able to know that I

7:49

wanted to do Beehive just because I

7:51

named it the Beehive bot. And then

7:53

you'll see my message on the right hand

7:54

side here which says learn from

7:56

demonstration. And so all that I needed

7:58

to do if I click into the computer

8:00

right, you'll see at the top of the sort

8:01

of right hand options, teach a task. And

8:04

if we click this, it will automatically

8:06

start a recorded session in this box in

8:09

our computer right here. we're going to

8:11

be able to click around and do a

8:13

particular thing, a particular task

8:14

right here. And then once we've done

8:16

this, it's going to be able to stop the

8:18

recording or we can stop the recording

8:19

and then we're going to be able to send

8:20

that off to our agent. It's going to be

8:22

able to watch that recording frame by

8:24

frame, see exactly everything that we

8:26

did and repeat that particular task as a

8:28

skill. So, we can see here from the

8:30

messages that it hit back, we did that

8:32

demonstration. It was able to read

8:33

through this. At this point, you'll see

8:34

here the video review hit a limit. That

8:36

was the limit of the free trial that I

8:38

was running. So, it's pretty limited

8:39

that free trial to be honest. But once I

8:41

upgraded the plan, then I was able to

8:43

continue on. And you can see here, it

8:45

turned that entire video demonstration

8:47

into a skill that it now has and can

8:50

repeat whenever needed. And so, I can

8:52

click into this orange highlighted text.

8:54

And this is going to pull up the private

8:56

skill, as they call it, for pulling

8:58

beehive post statistics specifically for

9:01

my use case. And we can have a look at

9:02

the instruction set here that it

9:04

automatically created by literally

9:05

watching the video of me doing that

9:07

task. And it's going to be able to do

9:09

this task over and over again. Uh

9:11

because it has all this information that

9:12

is recorded and it has this skill now.

9:14

And then once I created that skill, I

9:16

just told it to do that again, do that

9:17

particular task again. And it was able

9:19

to pull back all of those statistics by

9:21

going through that entire process. And

9:23

now anytime I need the latest statistics

9:25

on my latest newsletter, I can very

9:27

simply get this agent to do that. The

9:29

next bot that I set up is one that

9:30

monitors the Grock X account for any new

9:33

posts or announcements. So it would

9:35

immediately notify me of anything that's

9:37

come out so that I'm super informed on

9:39

all of the latest product releases from

9:41

this particular company. And essentially

9:42

all that I did is I said at the top

9:44

here, I want you to monitor the Grock X

9:46

account and send me a message every time

9:48

a new announcement is made on that

9:49

account. After this, it just went ahead

9:51

and started to build out that process.

9:53

It asked me how I wanted to pull through

9:55

those posts. And I pretty much just told

9:57

it to use the browser. So using this

9:59

computer that we have right here. And

10:00

then right after this what it did is it

10:02

automatically created a routine which

10:04

checks every 30 minutes on this

10:06

particular web page of any new posts or

10:08

any new announcements. And if there has

10:10

been a new announcement in that 30inut

10:12

block that it's checked then it's going

10:14

to automatically message me right here

10:16

about that announcement. So this is

10:18

essentially a 24/7 running agent that we

10:21

now have checking this particular post.

10:23

I don't have to ever come back to this.

10:24

It's going to run for me. I can exit out

10:26

of this and it's going to be running and

10:27

will notify me whenever. You'll see on

10:29

the right hand side that we have the

10:30

routines right here. So I can click into

10:32

a routine and we can see the entire

10:34

setup instruction set for this

10:36

particular routine. So we can scroll

10:38

through the instruction set that it

10:39

created in order to do this monitoring

10:41

every 30 minutes. We can see when it is

10:43

set up when to run. We can do this

10:45

manually if we'd like. But we can just

10:46

tell the agent to build it for us, of

10:48

course. And we can see the run history

10:50

here as well. You might see some X's

10:52

right here for these particular

10:53

timestamps. That's just because once

10:55

again my free trial of the rock ran out

10:57

whilst these were running. But once I

10:59

did upgrade my account, it obviously

11:00

started working again and was able to do

11:02

the checks. And then lastly, I set up an

11:04

email bot as well. I just told it that I

11:06

wanted to review my email inbox and it

11:09

then prompted me to connect my Gmail

11:11

through an MCP.

11:13

And then immediately this was able to

11:15

pull back a series of uh emails for me.

11:17

And if I just click on the plugins

11:19

button at the bottom left, you will see

11:21

all of the plugins that we can natively

11:23

integrate into very easily through an

11:25

oorthth connection. These are all of the

11:28

MCPs that are available. Very similar

11:30

connection amounts to what you'd expect

11:32

from Claude or OpenAI previously. So

11:35

this particular setup, not exactly super

11:37

revolutionary. Obviously, we're not

11:38

using any of the browser or virtual

11:41

machine automation in this case. So

11:42

nothing super revolutionary happening

11:44

here. I would say mostly the export

11:46

automation and the beehive stats uh is

11:49

more powerful because of that virtual

11:51

machine. Now, before I dive into setting

11:52

up this schoolbot, I just want to go

11:54

through a couple of my thoughts, at

11:55

least at this stage, as to whether or

11:57

not this is something that's worth

11:58

signing up for. Of course, at this

12:00

stage, it really does depend on how

12:01

you're using AI right now. So, at the

12:03

moment, if I were to automate any kind

12:05

of work or tasks on the computer through

12:07

Claude, essentially, what I'd have to do

12:08

is click into the plus button and

12:10

connect a series of connectors into

12:12

multiple different platforms and through

12:14

some sort of an MCP call, tell Claude to

12:17

add some information into my CRM or

12:19

extract some information. And that's

12:21

essentially the process that we'd be

12:22

using in order to automate different

12:24

tasks into those applications. And of

12:26

course, through this, we can also set up

12:27

routines very similar to what the

12:29

Grockbot has as well, where let's say at

12:31

9:00 a.m. every morning, we want to

12:33

check our email inbox and send me a

12:35

summary. Something like that is very

12:37

straightforward. It doesn't require a

12:39

virtual machine to monitor anything

12:41

because the task itself has enough MCP

12:43

and APIs able to fulfill that task. So,

12:46

there is certainly a lot that we can do

12:48

here through MCPs. But I do know that a

12:51

very large percentage 80 plus% I think

12:54

of the internet itself doesn't have any

12:56

APIs or MCPs certainly that we can

12:59

interact with. And so there certainly

13:00

are a lot of limitations when it comes

13:02

to just using this to automate all kind

13:04

of work that you want to do because not

13:06

everything can just be done through

13:07

these calls. And pretty much the exact

13:09

same goes when it comes to just chatting

13:11

through or automating work through

13:12

chatbt's main interface. Once again,

13:14

very similar. We can add connectors and

13:16

MCPs to this connection here. But we

13:19

don't have the ability to automate any

13:20

computer level work through this

13:22

interface right now. We of course have

13:24

the ability to do web search at the

13:26

bottom here. We can allow it to research

13:28

on the internet and find things and

13:29

extract information from websites. But

13:31

when it comes to account level

13:32

permissions and logging into certain

13:34

forms and clicking through multiple

13:36

different tabs and doing all of that

13:38

actual work, that is not something that

13:40

is natively available through one of

13:41

these platforms. Now, of course, one

13:43

thing that we can do is head over to a

13:45

tool like Clawude Code or OpenAI's

13:47

codeex where we do get a lot more

13:49

flexibility in automating our work

13:52

because these platforms are running

13:54

locally on our computer. One thing that

13:56

I can do is click the plus button down

13:57

here and do the browse the web option.

13:59

And this browse the web option

14:01

essentially opens up a brand new Chrome

14:03

tab in which it is able to navigate

14:05

through the page, click into different

14:07

options, log into our accounts, we can

14:09

help it do that. And so then we do start

14:11

to get that computer use through this

14:13

particular feature. But once again, this

14:15

is not a virtual machine. We aren't able

14:17

to get any kind of a file manager to

14:19

download files or anything like that.

14:21

And to be honest, my experience with

14:23

this browse the web feature has been a

14:25

little bit janky through Claude to be

14:27

totally honest. We ourselves have to

14:29

manually initiate that. So I have to

14:31

come here and tell it to browse the web

14:33

in order for it to do it. And because

14:35

this is running locally on our computer,

14:37

if you've got a slow computer, this

14:39

might be a little bit tricky to run. And

14:40

you most certainly can't obviously share

14:42

that context with your phone or anything

14:44

like that. And one more thing to mention

14:45

is that because this is sort of a

14:47

sandboxed virtual computer, it is quite

14:49

a bit safer as well. Because if we

14:51

wanted to maybe download a CSV file from

14:54

some sort of a website and automate that

14:56

or change some information or extract

14:57

information out of that, we're going to

14:59

be downloading that into our virtual

15:00

computer and manipulating and extracting

15:02

and deleting files all within our

15:04

virtual computer as opposed to our own

15:06

local computer. So it can just help to

15:08

avoid that risk of your claude agent or

15:11

OpenAI codeex agent accidentally

15:13

deleting the wrong file or you know

15:15

missing files and all that stuff.

15:16

Anyways, I'm going to go ahead and see

15:18

if we can automate responding to school

15:20

posts in my school community. So what I

15:23

might highlight is community engagement.

15:25

I'm going to click on this and we'll see

15:26

what we can do when it comes to uh

15:28

responding to school posts in my school

15:30

community. It's now asking which one to

15:32

use. I'm going to go ahead and just get

15:34

the link for this. So, I'll just copy

15:35

the link to my school community, right?

15:37

Jump back into the agent and just paste

15:39

it right here. Submit. And we should see

15:41

on the right hand side with our computer

15:43

agent. It says it's opening it right

15:44

now. We should see that this link gets

15:46

opened on our school bot. We can see

15:48

it's actually loading at the moment. We

15:50

should see that page come up. There we

15:51

go. The page is now loaded as well. So,

15:53

of course, we will need to log into

15:55

this. We can see that we're not

15:56

currently logged in at all, but I can

15:57

obviously now manually log into that

15:59

account. And now it's asking me how it

16:01

wants to reply to the members where it's

16:02

going to do a draft. It's going to do

16:04

post simple replies and just ask for

16:06

tricky ones or it's going to tell me

16:07

every single time. I might just say for

16:09

this case draft for my approval. We can

16:11

actually see that the agent is scrolling

16:13

through all the different posts in the

16:14

community at the moment. Uh anyways, but

16:16

I'm just going to tell it to wait for my

16:18

approval at the moment. Okay, we can see

16:20

here that it's actually gone ahead and

16:21

just read through a bunch of posts in

16:23

the community already and it's asking to

16:25

do a draft reply already. Uh it's not

16:27

signed in, but it seems like it just

16:28

wants to start to uh start to respond to

16:31

these questions already. So, what I

16:33

might do is just click on one of these

16:34

posts. This post is about price points.

16:37

So, maybe I'll click on this one and

16:38

just see if we can do a draft reply. And

16:40

in the meantime, what I would probably

16:41

do is I'm going to click into open. And

16:43

then I might just quickly log into my

16:45

school account. So, I just logged into

16:46

my account. We can see here it's now

16:48

changed to my account. And I'm just

16:49

going to let it know that I've just

16:50

logged in. And so, now that I have

16:51

logged into this particular virtual

16:53

machine right here, it should have that

16:55

uh in its session cookies. So every time

16:58

that I need to run something on school,

17:00

any one of these virtual computers that

17:01

we have is going to be able to access my

17:03

account uh and it's going to be able to

17:05

do whatever kind of automation that I

17:07

need. So at the moment, I'm essentially

17:08

just letting the agent uh go through

17:10

school and just figure out everything

17:11

that it needs to do in order to complete

17:13

this task. But what I probably would do

17:15

if it was a more complicated task or one

17:17

that just wasn't super obvious is that

17:18

what I would do is I would pretty much

17:20

just click into the the virtual computer

17:22

here and do teach a task. And this would

17:24

allow me to once again uh go through the

17:26

virtual computer myself and record

17:29

exactly how that task should be done. So

17:31

it can then see exactly how to do it

17:33

itself. You can also click at the bottom

17:34

left on the plus button, right? And then

17:36

you'll also see teacher task is also

17:38

down here as well. And it just does the

17:39

same thing. So, for this particular

17:41

automation setup, what I would probably

17:43

do is tell the agent to let's say every

17:45

morning at 7 a.m. to create a routine in

17:48

which at 7:00 a.m. every morning check

17:51

my school community to see if there's

17:52

any new posts that have come through.

17:54

There are any new posts to maybe

17:56

automatically respond to some of the

17:58

posts and try to help out with whatever

18:00

their questions are. And this is

18:01

something that really does require a

18:03

virtual computer or some sort of

18:05

computer use in order to do this as best

18:07

as possible. And this is because

18:09

school.com especially is just a platform

18:12

that has got notoriously bad APIs and

18:14

just missing APIs at all. They certainly

18:16

don't have an MCP server and so

18:18

automating anything on school is very

18:20

very tricky. And this is the case for a

18:23

lot of platforms out there on the

18:24

internet. Like I said, majority of

18:26

websites and things that are done on the

18:28

internet do not have easy to access or

18:31

easy to use uh APIs or MCPs in order to

18:34

do specific tasks. And to be totally

18:36

honest, it's not fully feasible in order

18:38

to just use APIs or MCPs in order to do

18:41

everything because we ourselves use

18:43

computers through computer use. I would

18:45

certainly say that this is going to be

18:47

the future of just automating computer

18:49

work is literally just getting the agent

18:51

to use a computer to do the work. Okay,

18:53

we can see here it's now gone ahead and

18:55

given us the draft reply for exactly

18:57

what it wants to send a reply for. And

18:59

we can see that we're getting the option

19:00

here now to post it or tweak it or

19:02

change it or whatever. I'm going to go

19:03

ahead and click post it. I'm probably

19:05

going to delete this right after, but

19:07

just to prove the point, we should see

19:08

in the computer. I'll click into this.

19:10

Uh, it should go through and reply to

19:13

this post all automatically without me

19:15

having to do anything. It is now opened

19:17

up the post once again, which is great.

19:19

We should see it scroll down a bit, I

19:21

believe, and then reply to the post.

19:23

Okay, so it's now scrolled down to the

19:25

bottom. And in just a second, I assume

19:27

it's going to paste in that comment and

19:28

then hopefully post the comment as well.

19:31

Okay. So, we can see it is now typing

19:33

that comment at the moment. You can see

19:35

it just did the first sentence right

19:37

there. And now it's just added in the

19:39

rest of the comment there as well. And

19:41

it should in the second send this off. I

19:43

believe it looks like it actually failed

19:45

to send it. Not sure what happened here.

19:46

I think it might have accidentally

19:48

clicked the cancel button. So, you can

19:49

see it's obviously not perfect at all at

19:51

doing everything uh right away. Just

19:53

looks like the message just disappeared

19:54

just then. What I would probably

19:56

recommend doing is going through and

19:57

doing the teacher task first. So, maybe

19:59

I can do that now. Now, if I click into

20:01

the open button and I do teach a task,

20:03

what I might quickly do is just type a

20:05

comment. And then if I hit the comment

20:07

button right here, if I just click

20:08

comment and then we've got that sitting

20:10

there. So, what I might do is now pause

20:12

the recording and we should see that the

20:14

learn from demonstration has now sent it

20:16

off uh to the agent right here. I am

20:18

going to quickly delete that post. But

20:20

hopefully from that recording that I

20:22

just sent it, it should now know to

20:23

click the comment button specifically

20:25

and just get a better understanding as

20:27

to how to make a post. But we can see

20:28

here it says watching the demo you just

20:30

recorded learning the steps now. So

20:32

obviously for your more complex tasks

20:34

would definitely recommend doing this

20:36

essentially without doing this. The way

20:38

that it works is that it pretty much

20:39

just clicks around different buttons the

20:41

things that it just assumes that what it

20:43

should click and then just looking at

20:44

all the button availabilities that it

20:45

gets. Okay. We can see here just from

20:47

that recording uh is actually created a

20:50

skill around that. If I click on this,

20:51

you'll see that we now have a comment on

20:53

a school post skill that's been created

20:55

with all the instructions set on how to

20:57

exactly do that. It's provided us with

20:59

the steps as well. In this case, I'm

21:01

just going to tell it to finish posting

21:02

the actual reply. And it does look like

21:04

it's doing that at the moment. Uh if I

21:06

click into the agent here, we can see

21:08

that it is beginning to reply. Okay, so

21:11

it is still trying to reply to this

21:12

post. To be honest, I'm pretty

21:13

disappointed with the results of it

21:15

trying to reply here to this post. Uh it

21:18

seems like it's kind of just stuck at

21:19

the moment. It says that it had to uh

21:21

restart the page because the composer

21:23

has stalled. You can see there. Not

21:25

exactly sure why this is such a

21:26

difficult task for the agent. So, not

21:28

exactly sure what's going on at the

21:30

moment. Hopefully, it's going to be able

21:31

to post it in just a second. Uh but

21:33

maybe a bit of a limitation of the agent

21:35

at the moment. Okay. So, finally that

21:37

post has gone through. I did take a

21:39

little bit of pushing to get it to work,

21:40

but if I click open, you'll see that the

21:42

post has now gone through and sent

21:44

finally from this agent. Kind of

21:45

disappointed to be totally honest in its

21:47

ability to to make that post. It seems

21:49

like it was continuously missing the

21:51

comment button to actually send the post

21:53

off and would just keep sort of

21:54

refreshing the page in order to do this

21:56

task. So, a little bit disappointed. Not

21:58

sure if it's just this web page

21:59

specifically that it's just been

22:01

struggling with. But something to keep

22:02

in mind when it comes to this kind of

22:04

browser automation is that it is

22:05

definitely not perfect right now. But I

22:07

do hope that now because it has done the

22:09

post once and it's fully understood

22:10

exactly how how to do it. Then when I

22:12

need it to do another post, hopefully

22:14

it's learned from its first uh iteration

22:17

and then it's going to be able to do it

22:18

much better over time. Okay, the next

22:19

thing I wanted to quickly cover is also

22:21

the mobile app a part of this as well.

22:24

So I would say that the mobile app as

22:26

I've been testing it so far is actually

22:27

a really big component of this app.

22:29

Essentially what we can do is just

22:30

download Grockbot from the app store

22:32

directly onto our phone. log into my

22:35

account. And hopefully you can see on my

22:36

phone screen right here, all of the

22:39

sessions of my agents are on the phone

22:41

app right here automatically. And if I

22:44

were to click into the bot itself, you

22:46

can see the conversation of the agent

22:48

that I was having on my computer all

22:50

loaded here because this is all

22:52

happening in the cloud and it's not

22:53

happening locally. And the thing that I

22:55

think is the most cool about this is

22:57

that if I click into the top right of

22:59

the phone, if I show you right now,

23:01

you'll see that it is connecting into

23:03

the virtual computer of this particular

23:05

agent. And you can see right here, this

23:07

is now connected to that computer agent.

23:09

And so if I jump back onto my computer,

23:11

if I click open of this particular agent

23:13

right here, what I can do is now go onto

23:14

my phone. And what I can do is now

23:16

control this computer from my phone. If

23:18

I click onto the plus button real quick,

23:21

there we go. I just added a new tab into

23:23

Chrome from my phone and now that's

23:25

updated on the virtual computer on my

23:27

computer right here. And you can see

23:28

that this is what's popped up. The

23:29

keyboard's popped up so I can type stuff

23:31

as well. But I can mostly just click

23:33

around this web page. And so that's

23:35

super awesome that we can monitor and

23:37

watch this computer that is running

23:39

autonomously for us 24/7 in the

23:41

background. We can control it with a

23:42

keyboard. We can do whatever we need to

23:44

from our phone. And this is happening

23:46

even with our computer fully turned off.

23:48

And this obviously means that we can

23:49

send our standard messages into the

23:51

agent as well. So I can go ahead and

23:53

send it a message to uh you know do some

23:55

sort of a task on the computer from my

23:58

phone. So I can literally control an

24:00

entire computer uh yeah from my phone

24:02

without having to even have a computer

24:04

of my own. So there really are some

24:06

pretty epic use cases here. This is

24:07

something that probably wouldn't replace

24:09

my claude code or my open AAI codeex

24:11

system, but definitely if I was on the

24:14

go, I could use this mobile app to

24:16

initiate some sort of a task uh into

24:18

this virtual computer to do something

24:20

for me. And the seamless integration

24:21

between this web app and the phone app

24:24

as well is just so good. We haven't

24:25

really seen a seamless integration like

24:28

this quite yet. So definitely quite a

24:30

big plus when it comes to this feature

24:32

is going to be that mobile app and just

24:33

the seamless integration to be able to

24:36

communicate with all of these computers

24:38

and all of the bots uh with a seamless

24:40

integration is pretty awesome. Now, as

24:42

for the best use cases for this right

24:44

now, I'd probably say it's not going to

24:46

be used for building out any sort of

24:48

applications or anything too intense

24:50

like that. You'd still be using your

24:52

Claude code or your OpenAI codeex for

24:54

that. It's mostly going to be best used

24:56

for the use cases that I've showed here

24:58

in terms of monitoring pages or checking

25:01

in on things periodically or doing some

25:03

sort of a task on a computer with

25:05

existing setup systems. So, you wouldn't

25:07

build an entire CRM through this.

25:09

Although, maybe you'd use it to navigate

25:11

through your CRM that you have built. Or

25:13

if you've got multiple different

25:14

softwares or you need to move

25:16

information around different areas, you

25:18

could just come to your agent writer

25:19

which has got that computer, send that

25:21

task off. It's going to be able to do

25:23

that. But this is pretty much it when it

25:25

comes to this new Grockbot product. My

25:27

current honest thoughts on this is that

25:28

it's definitely a pretty promising

25:30

product or approach when it comes to

25:32

just overall automation of work. I do

25:34

think that the best way to, you know,

25:36

automate this online work is literally

25:38

just by using the browser or using a

25:40

computer exactly how we do rather than

25:42

reinventing the entire internet around

25:44

brand new MTPs and APIs to access these

25:47

web pages. makes much more sense to me

25:49

if we can just get the agent to use the

25:51

computer instead exactly like how we've

25:52

been using it in the past. And it seems

25:54

like the Grock bot setup right here is

25:57

taking that sort of computer first

25:58

approach to automation. So once this

26:01

does get really really good, there's no

26:03

doubt about it. Using an interface like

26:05

this is going to allow us to literally

26:07

automate anything you could possibly do

26:09

on a computer. But there definitely is a

26:11

way to go for it to be perfect. So to be

26:14

honest, I probably wouldn't recommend

26:15

this right away right now. And pretty

26:18

much the main reason for that is that

26:19

this is still very expensive. If I

26:21

scroll down to the bottom here, the

26:23

pricing for this at the moment, at least

26:25

at the minimum, is $200 a month. Now,

26:28

this gives you Cursor Ultra. So, you're

26:30

not just uh paying for Grockbot, of

26:32

course, for $200 a month. You're getting

26:34

access to the entire Cursor Ultra plan.

26:36

So, this is obviously a pretty powerful

26:38

plan when it comes to AI usage for this

26:40

amount. Of course, you're getting a lot

26:41

of AI tokens. So, if you are somebody

26:43

that is hammering Clawude or OpenAI

26:45

pretty hard at the moment, obviously

26:47

paying for a Cursor Ultra plan is going

26:49

to give you a lot of token amounts and

26:51

usage just like your current OpenAI or

26:54

Clawude plans give you. But, of course,

26:56

this does mean that you'd probably want

26:57

to swap from your Clawed subscription to

26:59

your cursor subscription instead because

27:01

of course it is quite expensive. You

27:03

wouldn't want to be running multiple of

27:04

these subscriptions, especially if

27:06

you're getting the same amount of token

27:07

usages. But if you are looking to

27:09

literally just set up Grockbot,

27:10

obviously paying $200 a month just for

27:12

Grockbot is probably way too much. And

27:15

you can get quite a bit of the way there

27:17

just by using the traditional browser

27:19

automation individually. For example,

27:21

through claude code, we can obviously do

27:23

a browse the web here, which just plugs

27:25

into Chrome and then allows it to

27:27

navigate through a web page. But the

27:28

problem with that is that we once again

27:30

have to manually sort of open up that

27:31

web page on our computer. It only runs

27:33

locally. we can't do that 24/7 as

27:36

opposed to a entire virtual machine

27:38

which is what this is which can run

27:39

24/7. I can turn off my computer and

27:42

this system will still run in the

27:43

background. So there definitely are some

27:44

advantages to it. I definitely think

27:46

it's a step in the right direction. But

27:48

what I would like to see is this kind of

27:49

feature or product uh integrated into

27:51

the likes of Claude Code or Codeex in

27:53

the future or maybe XAI will integrate

27:55

this product more deeply into their

27:57

Grock build system. Anyways, I hope

27:59

you're a lot more informed now about

28:00

what Grockbot is and whether or not you

28:02

should or shouldn't use it. Just for my

28:04

last note, I recently discovered that

28:05

90% of you watching right now are not

28:07

subscribed to the channel at all, which

28:08

I think is pretty insane. So, if you

28:10

could just scroll down a little bit, hit

28:12

the subscribe button, like the video,

28:13

turn on the notifications, that would be

28:15

amazing. I've got a lot more content

28:17

coming on all of these new releases that

28:19

are coming out, as well as all the

28:20

different ways that we can effectively

28:22

utilize and leverage all the existing

28:24

platforms out there like Claude Code and

28:26

Codeex.

Interactive Summary

Grockbot is a new tool that allows users to create AI agents that operate within their own dedicated virtual computers, enabling 24/7 task automation without requiring the user's local computer to stay on. The product features browser-based automation, the ability to 'teach' agents specific tasks via video demonstration, and seamless integration with a mobile app. While promising for persistent monitoring and workflow tasks, the tool is currently expensive (part of the Cursor Ultra plan at $200/month) and still faces reliability challenges with complex interactions, such as clicking specific web elements accurately.

Suggested questions

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