Cursor just made something incredible...
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A new AI app is here and it feels very
different from anything else that you've
probably tried. It's called Grok Bot and
it's an agentic system for everyone. And
it feels like you're just having a
conversation with your agent. The first
thing you're going to notice is it looks
and feels just like any native chat
application, Telegram, WhatsApp, all of
them. We have threads on the left, we
have chat on the right and it's very
simplistic. You do not see things like
the actual code. You don't see a
directory structure with files in it.
You don't see even that shimmering
thinking text. It's a actual big
departure from what you usually see from
Cursor or Codex or Claude code and it's
actually welcome. I'm excited to see a
new design and yes, it's not this
massive departure, but I still think
it's quite different. And so let me just
show you what it looks like when it's
thinking. So you hit go and there it is.
My little guy is spinning. It looks like
he's thinking. You don't see any tool
calls. You don't see any code being
written. It is all very, very simple.
And again, this is for a mass audience.
I really think that's what they're going
for here. But it is still extremely
powerful under the hood. You still get
all of that power that you're used to
with a Codex or a Cursor. Okay, so
here's the thing. This took me a little
while to get used to, but every single
thread is an individual agent. They are
not threaded by topic, which is kind of
what I've been used to. So if you look
at Cursor and you look at the left
sidebar, kind of looks the same, but
when you dive more into it, you can
actually see every single one of these
threads is basically the same agent, but
they are separated by topic. So each
thing I'm working on, whether it's a PR
or a bug fix, it's all individual
threads and it doesn't feel like these
are all individually created agents. And
that is very different in GrokBot. For
each of these, they really do make you
feel like they are agents. So, let's
create a new one. Click this plus button
right here, and right away, you select a
new thread, you can choose one of your
existing agents. So, this is my computer
cleanup, my chief of staff agent, my
email agent, calendar agent, or you can
create a new bot. So, let's create a new
bot, and immediately upon creating a new
bot, I don't do anything except for
start typing.
It is thinking what I want to do. It's
going to give me a few suggestions. So,
hey Matthew, good to meet you. And for
people who are not on the cutting edge
of this stuff, it really tries to
hand-hold you through figuring out what
you want to work on. So, what do you
want me to be focused on? Research and
writing, inbox and email, projects and
code, day-to-day ops, and something
else. So, I can simply type Amazon
shopping and hit enter.
Okay? And it's going to make a bunch of
assumptions about what I mean by that,
and let's see what it does. So, what
should I handle for you? Find and
compare products. What are you shopping
for? Drop a product, a use case, or even
a rough vibe, budget, must-haves, and
I'll dig in. So, I can say cameras.
Cameras are a big category. Let's go for
phone, mirrorless, DSLR, and let's do
500 to 1,000. So, again, it's just
asking me all these questions, but
you're going to see something cool
eventually happen with this. And so, my
one critique so far is I actually like
having it feel like it's just one agent
that I'm talking to, rather than a bunch
of different agents working on my
behalf. And I'm going to show you how I
solved for that in GrokBot, but that is
the way I like to work. I want it
threaded by topic, not by agent. And
honestly, there's probably not that big
of a difference between those two. It's
just more how they present the
information to me. Okay, so it's saying
digging through Amazon now for kit. It
is still working, and I can send another
message, show me live on Amazon. Now,
that's where this gets really cool. This
is what sets Grok Bot apart. If you look
up in this top right corner right here,
there's this little computer icon. And
if I click it, you can see it actually
spun up its own environment, its own
operating system, and it was looking on
amazon.com for me. And so, this is fully
usable. Like, I can move this around.
This is Linux, I believe. Thunar file
manager.
And it is a full computer, and every
single bot that you spin up has its own
full computer. And the cool thing is,
even though every single agent spins up
its own fresh environment, they share
authentication. So, you only have to log
in once. So, if I log in to Amazon now,
and then I spin up another agent and
open up Amazon, it will also already
have been logged in. So, I can continue,
I can do work myself. I can use this
just like I would use any computer, and
it's really, really easy. And then
there's this button up here, teach a
task. And I'm going to come back to that
at a moment, but this is really cool.
All right, so here it actually sent me a
screenshot. Here's the Canon EOS R50 kit
at 849. Great. But again, if I want to
actually see what it's doing and
interact with the live website, I simply
click this right here. This is the
operating system for this agent. Now, I
talked about really only wanting to
interact with a single agent, and I like
that because I figure it learns my
personality, it learns what I like. I
have this long context with it rather
than spinning up new contexts every
time. So, the way that I solved it is
actually by a suggestion that the Cursor
team had, which is have a chief of staff
agent. This is the main agent that I'm
working with day in and day out. And one
thing that's super useful is allowing
your agents to publish things to the
internet. So, let's say you want to
share a document, you want to share a
presentation, and the easiest way to do
that is with the sponsor of today's
video, here.now. And let me actually
just show you how to do it. So, I'm
going to spin up a new bot, install the
here.now skill, and then this agent and
all the other agents will now have
access to publish to the internet very
easily. Literally, you just say publish
this and it'll give you a here.now URL
with your published document in seconds
without having to log in, and it is
completely free out of the box. All
right, installed. here.now is ready. I
can publish it to a live site. And then
it's asking me if I want to sign in. So,
when you publish something without
signing in on here.now, you get it for
24 hours, and then it disappears. If you
want it permanently, all you have to do
is sign in. All right, so let me show
you how easy publishing is now. So, I
have this picture of this 3D printed
boat that my son printed, and I want to
publish it to the web. I simply give it
to Grok Bot. I say publish it, and there
it is. Within a few seconds, it probably
took about 8 seconds, I have a public
link that I can share with anybody, and
anybody can now access this photo.
Thanks again to here.now. They've been
such a great partner, and it is so easy
to publish anything to the web with your
agents. Just tell them to use here.now.
Link down below. And the cool thing
about Grok Bot is that it can interact
with, it can message, spin up other
agents. So, I can say what's the latest
email I have in my inbox. Now, I hope
what's going to happen is it will
message the email agent to ask for that
because the email agent is where I've
done all my email triage work so far.
So, let's see what happens. Okay, so it
didn't actually message the email agent
yet, and I asked it did it, and it said
no, for that one I just pulled Gmail
myself. Email agent is for the bigger
inbox sweeps. A single what's the latest
I just handled here. So, let me try
another one. I'm going to say how many
emails are easily, safely archivable.
And this one hopefully will message the
email agent. There we go. Having email
agent do a dry run count of what's
safely archivable. No archives yet. So,
messaged email agent, we can see it
right there. And if I click into it,
this is actually the conversation
between those two agents. So, it's
really interesting. The conversations
between agents persist indefinitely,
also, and that's also building up
context for you to use. It's super
interesting how they do that. So, I can
see right here, here's the email agent
counting safely archivable mail on both
accounts, dry run only, nothing gets
archived. If I switch back to the chief
of staff, I'll bring the number back as
soon as the email agent finishes the
scan. Okay, so you can see here now the
email agent has messaged the chief of
staff. I click back to the chief of
staff, only three of 21 inbox threads
clear the strict safe bar. And then of
course, I can take action if I want to
archive them or not now. So, that's a
really cool and unique feature how the
conversations between agents are
persisted, and it really does feel like
just another part of the conversation.
I've not seen that in other apps. And
so, Grokbot very much feels like a
cloud-first agent, but it can very much
control your local computer as well,
which is really nice. So, I can say
something like, "Tell me how many
folders are on my desktop." Nine folders
on your desktop, not counting hidden
ones like dot cursor. So, I can control
my local computer just as easily as I
can control this cloud environment right
here. And it's just really nice. It kind
of is this hybrid local plus cloud, and
it can do both and go in between them
really easily, and I think that's kind
of a quite unique feature. The cloud
environment feels very native, feels
almost default inside of Grokbot,
whereas with Codex, it's much more work,
everything defaults to being local, and
I bet they're heading towards cloud
agents, but generally when you're
thinking about cloud code and Codex, it
is very much local first. And the next
thing I want to talk about is how much
this feels like it is built for
non-technical people. Now, it is still a
technical-ish product, right? We're
we're talking about artificial
intelligence. It is not dead simple yet,
but this is the direction I think a lot
of AI apps are going, making it
generally easy to understand. And the
way that they did that was by stripping
out a lot of what we are used to in
these chat applications or in these
coding applications. So, for example,
there's no model picker. You cannot
select between the Grok model, the GPT
5.6 model, Fable. You can't select it.
You don't even see it. You don't even
know which model it's using. And you
know what? I think most people don't
care. It might be using Grok only
through and through, right? That might
be the only model it's using. And if so,
it's really good. It's extremely capable
and it's very fast. So, I've been really
impressed with how capable and fast the
Grok bot is. It is still thread-based,
like I mentioned, but each thread is its
own agent. So, that's kind of the still
the look and feel that feels familiar
from Codex, from Claude Code, from
Cursor, but it's also what most people
are used to. If they're using even just
basic text messaging, this is the
interface people have gotten used to and
are familiar with. Here's another thing
you're going to notice. There is
absolutely no tool calling shown. It is
not showing anything having to do with
code. And that is intentional. That is
what makes me believe this is for a
broad audience. So, if you look at
Cursor, you can see right here, explored
two files, three searches. You can see
grep'd right here. You can see the
actual files being edited and read from.
You can see all the tool calls, all the
things that Cursor is doing on the way
to getting its final answer. And of
course, there's nothing like this
showing the PR, showing the changes,
uh the terminal, the files. None of it
is there. This is really meant for the
broad knowledge work community. Now,
another piece of feedback that I have is
that it does feel a little bit wonky
having a completely separate application
for this because I have all this work in
context built up in cursor and now I
have to have cursor for code and I have
to have Grokbot for general knowledge
work and I think the line between them
the clear definition of what goes where
is not going to be so clean it's going
to be quite blurry actually deciding
should I do something with Grokbot or
should I do something with cursor and
it's going to be interesting because you
see what open AI did with Codex merged
Codex and chat GPT into the same app one
super app and I actually find having to
switch between chat GPT and Codex I
almost exclusively use Codex versus chat
GPT I find that entire decision making
process
just unnecessary
and so maybe splitting the apps is the
right way but we'll see
what I really want is I just put a task
in and it knows what to show me do I
want to see code do I want to see tool
calls or do I want just the most simple
version just show me point A to point B
and so we'll see which design pattern
sticks so to make Grokbot incredibly
powerful you want to use plugins so
plugins are right here it is one of the
only features prominently shown you
click it and you see all the different
apps that you can plug in you can kind
of think of this as like MCP servers or
just giving your Grokbot away the
knowledge for how to interact with all
of these different services so I've
added Gmail I can add Google Drive just
like this you just click add and it's
done it may ask you to authenticate once
but it'll do that once you actually
start using it I have Google Calendar
added I have Slack so I can invoke
Grokbot straight from Slack which is
quite nice I have notion and they have
so so many already default working with
this. And you can see I've already added
box so I can read from all of my
documents, my contracts. Shout out to my
friends at box. So one of the most
popular use cases I think most people
will get from Grok Bot is routines. And
these are tasks that happen on a
recurring basis, a schedule. All right,
so you're going to right click on your
agent. You can click it's kind of weird,
it's kind of roundabout. You click edit
profile which you can give it a name,
title, and description. But to get to
routines, you click this little back
button and then you can click this
create routine. So here's an existing
routine that I've already created. This
is called computer cleanup. It runs
every Monday at 8:00 a.m. and this is
for the computer cleanup agent. So if I
click into it, I said, "Look around my
computer for files you think are stale
and I can clean out. Don't actually
clean it out, just suggest." So
basically what I want it to do is
optimize my hard drive. Look for
anything that I don't need anymore,
suggest the things that I don't need and
then I can just tell it, "Okay, go
ahead, throw it in the trash for me."
And so that'll run once a week, super
useful. But you can do anything on a
recurring basis. You can say, "Okay,
every single morning I want a summary of
all the important emails that you see
that I need to answer right away." And
so all of that you can create with
simply a name, a natural language
instruction that will go to the agent,
and then of course you can set it to
active or inactive, you can delete it,
and you can test run it as well. All
right, next are tasks. These are really
cool ways to teach your bot to do
something. I think Codex has something
similar, but basically if we click into
this window in the top right, which is
this agent's own environment, we just
click open. And now this is its own
computer that it can use. So I can click
around. There is this teach a task
button right here. All right, so let's
say I want to teach you a task. Every
single week I want it to look up this
camera and give me an update on the
price. So, all I have to do is click
teach task, okay? So, again, I'm in its
own operating system, in its own
environment. I'm going to grab this URL.
I'm going to place it right here in this
spreadsheet I made. Then I'm going to go
back. I'm going to grab the price. I'm
going to paste it right there. $5.99.
Okay? And so then I click stop and it's
now going to learn from the
demonstration that I just gave it. And
so let's see what happens. So it says
new bot working, it's thinking. And what
it's going to do is actually create a
skill, a reusable skill based on what I
just showed it manually, which is really
cool. So there we go. Saved log Amazon
product to camera prices sheet. That is
the skill. Open an Amazon product page,
copy the URL, switch to the camera
prices Google sheet, paste the URL into
column A. And so it's watching the video
and it's saying, "Okay, you put $5.99 as
the price. Let me update that skill."
All right, and there we go. So it
finished. Now it also copies the price.
So that's it. You can give it anything.
You can really allow it to learn from
any knowledge work, any task that you're
doing. And hopefully you can automate it
pretty easily to reduce any of those
tedious tasks that you're working on. So
we created a skill from the thing it
learned, but you can also add your own
skills. And one of my favorite skills is
the humanizer skill. Basically makes AI
writing look less like AI slop and I
said, "Install this skill." Hit enter.
And let's see what happens. So look, it
first checked the plugin marketplace and
it couldn't find it. So I'm installing
it as a private skill from the repo. So
just like that, very easy. And there's a
lot more you can do with Grokbot and
just continue to make it more powerful.
I actually covered a bunch of skills
that you can apply to Grokbot right now
in this video.
Ask follow-up questions or revisit key timestamps.
The video provides a comprehensive overview of Grok Bot, an agentic AI system designed for a broad audience. Unlike other coding-focused agents like Cursor, Grok Bot emphasizes a simplistic, chat-native interface that hides complex technical details like code files or tool calls. A key feature is its ability to spin up unique cloud environments for each agent, which function as full operating systems. The platform supports plugins for service integration, task automation through 'routines,' and a 'teach a task' feature where the bot learns by observing user demonstrations. The speaker notes that while the app is designed for non-technical users, it remains a powerful tool for automating routine knowledge work.
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