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8 Powerful Grok Bot Routines to Automate Your Business

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8 Powerful Grok Bot Routines to Automate Your Business

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448 segments

0:00

I've been running Rockbot for the last 2

0:01

weeks, and the best thing about it is

0:03

how easy it is to set up routines, which

0:05

are essentially automations. In Claude

0:07

or ChatGPT, setting up a routine always

0:09

meant you have to first decide whether

0:10

it's going to be a local or a cloud

0:12

routine, then you had to configure all

0:14

of your connections, and if it's a cloud

0:16

routine, then you would have no computer

0:18

in the cloud. And don't even get me

0:20

started on Integromat or Make, which are

0:22

just totally outdated tools for setting

0:23

up automations. But in Rockbot, it's

0:25

super easy. You just basically tell it

0:27

what routine you want, it will set it up

0:29

for you end to end. They all run in the

0:31

cloud by design, which I think is the

0:33

most natural way to do this, and they

0:35

all have access to your connected tools

0:37

and a computer in the cloud. So, this in

0:39

my opinion really makes Rockbot the best

0:41

tool to set up all of your automations.

0:43

In this video, let me show you eight

0:45

powerful Rockbot routines that you can

0:47

set up today to automate your business.

0:48

All right, I've put the eight Rockbot

0:50

routines that I'll be covering into

0:52

these three categories. First one is

0:54

marketing/content,

0:55

the second one is sales, and then the

0:58

third one is general product- ivity. So,

1:01

let's just go ahead and get started with

1:03

the first routine, which is the YouTube

1:04

competitor analysis. All right, so I've

1:06

got my Rockbot app opened up here, and

1:09

you'll see kind of how I organize my

1:10

bot. I have a chief of staff bot, who is

1:13

like my obviously main bot, the one I

1:15

that I talk to, and the one that

1:17

coordinates my other bots. And then I

1:19

have this section here for the

1:21

uh content-related bots, and these are

1:25

my YouTube bot, my X bot, my newsletter

1:28

bot, and my short-form bot.

1:31

And then one group here which has all of

1:32

my content bots in one group. And then I

1:35

have my other bots in this unassigned

1:37

section here, so these are my agency

1:40

bot,

1:41

uh my daily planner bot, life bot,

1:44

school bot, and a coding agent as well.

1:47

So, that's just to give you a quick

1:48

overview of the bots I have, but for

1:50

this routine, we'll be looking at the

1:52

YouTube bot. And you'll see here on the

1:53

right side, I have this YouTube

1:55

inspiration routine set up, and if you

1:57

look at the instruction of that routine,

2:00

uh it basically says produce more of

2:02

this daily YouTube content inspiration

2:05

brief. The outcome is the is newest

2:09

long-form videos from track channels

2:11

with thumbnails, plus how each one is

2:13

performing against its own channel

2:15

baseline. And it should use the Notion

2:17

MCP. I'll get into why in a bit. And

2:20

also to get the YouTube data, use public

2:23

YouTube data basically just to keep it

2:25

simple. And then to add some additional

2:27

rules, so it should be long-form only.

2:29

I'm really only interested in the

2:30

long-form videos, not in the short-form

2:32

videos. Um it should always include

2:35

thumbnail, title, and a link to every

2:37

video. Uh thumbnail is very important

2:40

because in the first run it actually

2:41

didn't include that, so I had to correct

2:43

it. And then uh it should always be

2:46

recent videos. So to make sure that the

2:48

report is new, it looks at the last 7

2:52

days only. So the last 7 days of

2:55

published videos. And then it goes on

2:56

with a couple more specifications, but

2:58

let me just show you the output of this.

3:01

So what it does for me is it creates

3:03

this Notion page, and you can see I've

3:06

had it running for a while, so it has

3:08

produced quite a lot of pages already.

3:11

And if I click into the latest one,

3:14

you'll see that uh this is essentially,

3:16

you know, scanning a pre-determined

3:20

list of YouTube channels that I've given

3:22

it. And then out of those channels is

3:24

just identify find the newest videos and

3:26

kind of putting the thumbnail of that

3:27

video here. It's putting the title here.

3:31

And then it's doing a little like

3:34

comparison and analysis on the

3:36

performance of that video. So it says

3:38

here it's 7 17K views on this particular

3:41

video by Nate. And um it kind of gives

3:44

this baseline here, which is like 4.3x

3:47

this channel's usual. However, YouTube

3:50

did recently change the way that the

3:52

views are measured, so it's kind of

3:53

indicating that here it's like mixed

3:55

errors uh mixed error, and so this uh

3:58

the views actually might be higher than

4:01

uh than normal. And then it's also

4:02

giving me a link to the YouTube video so

4:05

that I can check it out if I want to.

4:06

And yeah, it does this for several other

4:08

channels as well, and yeah, it just

4:10

makes sure that I get a really good

4:12

overview of everything that has been

4:14

happening in this uh space that I am am

4:17

in. And obviously, if you set this up

4:19

for yourself, you will be specifying

4:22

your own YouTube channels, so the the

4:24

competitors in inside of your niche, and

4:26

this way you get a really good scan of

4:29

what's happening out there in terms of

4:30

the the content that's being produced in

4:32

your niche. And as someone creating

4:34

content, you'll know how important it is

4:36

to get inspiration from what other

4:38

people are doing, because that's usually

4:40

the starting point for you to think

4:42

about what next uh video or type of

4:44

content that uh you're going to make.

4:46

Now, why did I decide to have all of

4:48

this created inside of a Notion page? It

4:51

just keeps things nice and organized. I

4:54

could obviously have uh the simple way

4:56

would have just been to have the uh

4:59

output being generated here in the chat

5:01

so I can just, you know, whenever this

5:02

routine runs, Grock Bot will just tell

5:05

me inside of this chat like what the

5:07

output of of the run is. Um but then I I

5:10

think quite a lot of information would

5:12

uh get lost over time. So, this is just

5:15

a really good way to organize it.

5:17

Obviously, you can do the same thing

5:18

inside of a Google Drive, uh and uh

5:21

wherever you prefer to have your

5:22

information. But I really like to use

5:23

Notion, and so I just decided to have it

5:27

all logged in here. All right, the next

5:29

routine is the audience tracker. I've

5:31

set up this routine inside of my content

5:34

team group, so basically, this is the

5:36

group where all of my content bots are

5:38

inside of. So, you can see it's set up

5:40

here as a routine. I don't think it

5:42

actually matters where exactly the

5:44

routine is set up, so you can set it up

5:46

inside of the group, or inside of the

5:48

bot itself.

5:50

Um it's just like where the routine is

5:52

set up, it is it is where the routine

5:54

will basically run. So, you can see

5:56

here, today it ran inside of the group,

5:59

so it will basically post this message

6:00

here. And the routine essentially just

6:03

says update the audience tracker Google

6:05

Sheet with today's number. So, what this

6:08

routine does is it goes across all of my

6:10

social media channels and pulls the

6:13

latest um

6:14

subscriber numbers or follower numbers

6:17

and puts it into this Google Sheet here.

6:19

So, you can see here uh every day

6:21

there's an entry, and it pulls my

6:23

YouTube subs, my YouTube views,

6:26

Instagram, TikTok, Twitter, newsletter,

6:30

and school.

6:32

And then it adds everything together and

6:34

gives me a total audience. And this is

6:36

just a really good way for me to kind of

6:38

keep track of my metrics and see how

6:40

things are moving. Now, how does it

6:42

actually get this data? It varies by

6:44

channel, but uh for most of them it

6:47

actually just goes and gets the public

6:48

data. For example, Instagram, it will

6:50

just basically like fetch the public

6:52

data using the

6:53

uh tools that it has available and kind

6:55

of just like goes and fetches that. Uh

6:57

for TikTok as well, I think. For

6:59

Twitter, I've given it access to the

7:01

Twitter API, so it can go directly

7:03

through the API to get that data. For my

7:06

newsletter, I've also hooked it up to

7:08

the uh Beehiiv MCP, and so it can also

7:11

go and get that data directly. But yeah,

7:13

basically you can just run it once and

7:15

have it try to figure out by itself how

7:17

to get that data, and then if it doesn't

7:19

work for some channels, you just steer

7:21

it a bit, or you look for alternatives

7:23

on how it can how you can help it get

7:25

that data. And then the way it writes to

7:27

the Google Sheet is just very simple. I

7:30

have in my plugins here, I have Composio

7:33

uh hooked up, where I try to do

7:35

everything uh through Composio now

7:37

because, you know, you can basically

7:39

centralize all of your connections in

7:41

Composio, and that makes it very

7:43

portable. So, I have my Google Drive and

7:46

Google Sheets hooked up in Composio. So,

7:49

you can see right here, Google Sheets

7:51

and Google Drive is connected in

7:53

Composio, and this way it's able to just

7:55

use my Composio connection and then my

7:57

Google Sheets connection to create that

7:59

Google Sheet. All right, the next one is

8:01

my tweet ideas routine. So, this is a

8:03

very simple routine that just

8:04

essentially gives me tweet ideas every

8:06

day at a specified time. So, I specified

8:09

it to give me those ideas at 11:00 45

8:14

a.m. and 3:15 p.m. And you can see the

8:17

output here of that. It's basically just

8:19

like giving me tweet ideas. And the cool

8:22

thing is that it's based on what I've

8:25

been doing that day. And how does it

8:27

know what I've been doing on that day?

8:28

It Well, I've previously set up a time

8:31

tracking skill,

8:32

and it's very easy to use. It

8:34

essentially just lets me call this skill

8:36

here called time tracker, and then I can

8:38

say things like start, and then just

8:41

like tell it my activity, so YouTube

8:43

video filming, which I just did like a

8:47

couple minutes ago. Start YouTube video

8:49

filming, and it will then start tracking

8:51

the time. And when I'm done with that, I

8:53

can, you know, just type here stop. I

8:55

can log times retroactively as well. And

8:58

so, this way it kind of just keeps track

9:00

of what I've been doing throughout the

9:02

day. And this, you know, gives me a

9:04

bunch of other benefits down the line

9:07

because I have all of this data and then

9:08

can analyze this. And so, this is kind

9:10

of the source for my tweet ideas routine

9:13

as well. So, my tweet ideas routine

9:15

essentially just takes whatever I've

9:17

logged that day, kind of looks at what

9:19

I've been doing, and then gives me ideas

9:22

what to tweet about based on that input.

9:24

So, yeah, I think it's pretty handy

9:25

because it just, you know, reminds you

9:27

to tweet. And my tweet st- strategy

9:30

right now is essentially just I want to

9:31

try to have it as like a uh stream of,

9:35

you know, consciousness type of thing

9:36

where I just tweet whatever I'm doing

9:38

right now. And uh this is really helpful

9:41

in that respect. Okay, let's go into the

9:43

next routine, which is the sales call

9:44

analysis routine. And what this routine

9:47

does is it will essentially pull my

9:50

sales calls through that were recorded

9:52

through Fathom, which is my call

9:54

recording tool. And every morning when

9:56

it runs, it will look at the previous

9:59

day of, you know, which sales calls have

10:01

happened and then analyze those sales

10:04

calls based on the transcript and give

10:06

me a kind of recap of what I've been

10:09

doing well and what I can improve. And

10:11

that is based on a framework that I've

10:14

passed it uh by Hormozi, the Hormozi and

10:17

the Closer framework. I've kind of given

10:19

it that context to do that analysis for

10:21

me. And again, I like to use Notion to

10:23

keep track of everything here. And if I

10:25

go into one of these sales reviews

10:28

documents, uh you can actually see how

10:30

it is broken up. Now, this one is a demo

10:32

one, it's not a real person, just for

10:34

demo purposes. But essentially, this is

10:36

how it would look like. You have like

10:38

this call info section, you have an

10:39

executive summary, and then a closer

10:42

scorecard. So, uh what I've been doing

10:45

well on these closer criterias here. And

10:49

then, you know, gives me like a Hormozi

10:51

lens, what went well, missed

10:52

opportunities, uh key moments, so quotes

10:55

from the actual call, and then kind of

10:58

talk ratio, and also action items. So,

11:00

if you do sales calls, this is just a

11:02

really good way to kind of get that

11:03

constant feedback loop. And after every

11:06

sales call, kind of know, okay, how did

11:08

it How did I do there? Or how did my

11:10

team do there? And what can be improved?

11:13

Now, this next routine is kind of

11:15

similar, but it sort of happens before

11:17

the sales call, and it's the prospect

11:19

research routine. And what this does is

11:22

it will actually go and look at my

11:24

calendar for the day and check out

11:27

whether there are any sales calls

11:28

planned on that day. And if there are,

11:30

it will pull the information from the

11:32

person from the prospect and and do some

11:35

research about that person and then give

11:38

me that research. And you can see here

11:40

the output of that research kind of

11:42

looks like this. It gives me a brief on

11:45

the person like what or on the call when

11:48

the call is happening, uh who that

11:49

person exactly is,

11:51

um why this call is happening, whether

11:53

they've, you know, given any information

11:56

before the call in the form, for

11:57

example. It will do some research and

12:00

kind of check out the website of the

12:01

person and check out their business and

12:03

just give me some information about

12:05

their business.

12:06

And then, you know, add some other um

12:09

information here like whether it's a

12:10

likely fit, what to ask, and whether

12:13

there's anything to watch out for. And

12:15

then also give me some useful links that

12:17

I can click on to get some further

12:19

information. So, this is just a really

12:21

useful way to get some more information

12:23

about your prospect in a very

12:25

time-efficient way, and this should then

12:27

increase your likelihood of, you know,

12:30

building rapport with the person and

12:31

also increase your likelihood of

12:33

closing. Okay, moving on into the

12:35

productivity routines, the first one

12:37

here is the bot team stand-up. So, I've

12:40

set up this group here called the bot

12:42

team, which essentially just has one

12:44

group where all of my bots are inside

12:46

of, and I kind of want them to act like

12:48

a real human team where every morning

12:51

they just talk about what their job is

12:53

for the day, what they're working on,

12:55

and to keep everyone updated,

12:58

uh you know, like unblock any blockers

13:01

that they might have, and uh also to

13:03

keep me updated. And yeah, what this

13:05

routine will do is basically just to

13:07

have that stand-up. It's triggered from

13:09

my chief of staff, and then every

13:11

morning my bots will have this

13:13

conversation with each other about what

13:15

they're doing this day and what their

13:16

priorities are. And then now I've

13:18

actually also set up a log of these

13:20

stand-ups, so it will uh just put into a

13:23

Notion database here what they've been

13:26

talking about on that day, and I can see

13:28

kind of what each of my bots is up to.

13:30

All right, the next routine is the

13:32

nightly improvement routine. So, this

13:34

routine is also set up with my chief of

13:36

staff, and what it does is essentially

13:39

just runs like a nightly kind of check

13:42

of its own memory and what has what has

13:45

been happening throughout the day, and

13:46

kind of suggests some some improvements

13:49

on like the files that that have been

13:51

created or some of the tasks that have

13:53

been done and things that are left over

13:56

or like small mistakes that have

13:57

happened throughout the day and just

13:59

improve them. So, here it says, "Do a

14:01

scan read only first this bot's memory

14:03

profile and log." And if you didn't

14:05

know, in Grok Bot actually everything is

14:08

being stored inside of the file system

14:11

here, so you can actually go in here and

14:13

kind of check out all of the things that

14:15

is it has stored over time about you.

14:18

And these are also the files that it

14:20

will look at in the during this nightly

14:22

improvement routine to just go into

14:24

those files kind of have a look

14:26

everything is, you know, organized in

14:27

the right way. And so, you can see here

14:30

some of the outputs of this nightly

14:31

improvement routine, and this was

14:33

actually kind of running while I was on

14:35

holiday last week where it was just

14:37

running in the background and doing like

14:38

small improvements. So, here it kind of

14:40

dropped a leftover Claudia drive note

14:43

that still said topics were being

14:45

processed.

14:46

Here it just did like a minor fixed a

14:49

typo in my own rules, so it can be

14:51

really tiny stuff as well. And it just

14:53

kind of like um improves its own setup

14:56

and every mistakes every night, which is

14:59

a really good thing to have. Okay, now

15:00

let's have a look at the last routine,

15:02

which is the weekly time tracking

15:04

analysis, and you can probably already

15:05

tell what this is. Again, I have this

15:07

set up with my chief of staff here, and

15:10

yeah, as the name says, it goes through

15:12

my time tracking

15:14

data and gives me a weekly review of

15:17

that. And so, I've showed you earlier

15:19

how I track my time on a daily basis,

15:22

and it essentially just goes through all

15:23

of those files that I've tracked over

15:25

the week and gives me this report, which

15:28

allows me to have a look at, you know,

15:30

how much time I've spent working. So,

15:33

this is just small data. I don't want to

15:34

give my actual data out here, but um you

15:37

know, I did like a mock analysis here so

15:39

that I can see, for example, how much

15:41

time I'm spending on YouTube, how much

15:42

time I'm I'm spending on shorts, on my

15:45

community, and things like that. And it

15:47

just gives me a really high-level

15:49

overview of where I'm spending my time

15:51

and what I can optimize for the

15:52

following week. And that's it for this

15:54

video. If you want to implement these

15:56

routines for yourself, um I'll be

15:59

putting all of them into my school

16:00

community, so you can basically just

16:02

take them from there, copy-paste them,

16:03

and implement them in your own business.

16:05

And uh if you want to work with me

16:07

directly, go and check out

16:08

joinagentos.com.

16:10

I'll be putting a link below as well as

16:12

the other links. All right. Thank you.

16:14

See you in the next video. Bye-bye.

Interactive Summary

The video provides a comprehensive guide on using Rockbot to create automated routines for business productivity. The creator showcases eight practical examples categorized into marketing/content, sales, and general productivity, demonstrating how to link these bots with tools like Notion, Google Sheets, and various APIs for seamless data management and analysis.

Suggested questions

4 ready-made prompts