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Grok Bot: Build a $10K+/Month Solo AI Agent Business

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Grok Bot: Build a $10K+/Month Solo AI Agent Business

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1082 segments

0:00

Grockbot is here and there's a reason

0:02

why it's going viral. I mean, anyone

0:04

who's non-technical could spin up these

0:06

agent teams and actually run a business

0:09

end to end. Today's episode is for

0:11

anyone who's interested in starting a

0:14

business, running a business that is

0:16

completely run by AI agents. And we show

0:19

you not just big ideas that you can run,

0:22

small ideas that you can run using

0:24

Grockbot agent teams that do 2, 5, 10,

0:27

$25,000 a month. I had my friend on

0:30

Billy Howell come on the podcast and

0:32

show you exactly how he runs his local

0:35

newsletter business using Grockbot

0:37

agents. So, this episode is for anyone

0:40

who's interested in starting a business

0:42

that actually has agents running the

0:45

entire thing. We're going to show you

0:47

how to use Grockbot. We're going to show

0:48

you how to spin up these agents. We're

0:50

going to show you the best practices.

0:51

We're going to show you the business

0:52

ideas that work here. Enjoy the episode.

0:56

I'll see you at the end. and I can't

0:58

wait to see what you build.

1:02

[music]

1:07

>> Thank god Billy Howell is here. And

1:10

Billy, by the end of this episode, what

1:12

are people going to learn?

1:14

>> You're going to get an inside look at a

1:16

business that I built and run with

1:17

Grockbot. And you're going to come away

1:19

with how you can set up your own

1:21

business using Grockbot.

1:23

>> Okay. And

1:25

a little birdie told me that you think

1:27

Grockbot is like the best place that

1:29

anyone could run agent teams, right? So,

1:32

you're going to go through the best

1:33

practices of Grockbot, how you're using

1:35

it. You're a guy who literally tests

1:37

every single tool. You test hundreds of

1:40

tools to millions of people with the

1:41

rundown. You're going to show us how

1:44

Grockbot works. You're going to give us

1:46

the best practices. You're going to tell

1:47

us how we can use Grockbot to build

1:50

businesses and run Asian teams. And by

1:52

the end of the episode, can you commit

1:54

that the person that is going to give

1:56

their time to this episode have will

1:59

have a better understanding than anyone

2:01

on the internet to run a business with

2:04

Grockbot. Yeah, 100%. Because most of

2:07

the content I see around Grockbot is

2:09

wrong. They totally don't understand why

2:11

this tool is powerful. And I'm going to

2:15

just transmute all that information into

2:17

people's brains because I'm so excited

2:19

about this and it's all I think about.

2:21

All right, let's do it.

2:22

>> Okay, so Grockbot is this new agent team

2:25

tool. And if you haven't seen it, it

2:28

looks like this, Greg. Now, what we're

2:30

looking at here is the team that runs my

2:33

newsletter. My newsletter is called the

2:34

Arlington Bagel. You can see it here on

2:36

the hat. Pretty sweet. And it goes out

2:39

to 6,000 Arlingtonians

2:43

every Thursday. And I used to have an

2:46

intern, my cousin Marshall, run this

2:50

newsletter. He would research it. He

2:52

would put it together. He would edit it.

2:55

He would man the email desk. But cousin

2:58

Marshall, I had to let him go because

3:00

Grockbot is just so much better.

3:03

>> Sorry, Cousin Marshall.

3:05

>> What actually happened is he went to

3:07

work at a summer camp where they don't

3:08

have internet. So Grockbot kind of saved

3:12

me. And Greg, have you used Grockbot

3:15

yet?

3:15

>> I have.

3:16

>> Okay, cool. How many agents do you have

3:19

over here?

3:21

>> I have one, two, three, four, five, six.

3:25

>> Six. Okay. So, the best thing I think

3:29

about Grockpot is that you have a

3:31

limited amount of agents. And I did the

3:33

math on this and I think it's about

3:36

is 76 or 88 possible unique agents

3:40

because when you set them up,

3:43

you've only got this many shape and

3:45

color combinations.

3:47

And you can upload a custom avatar. But

3:49

the point is it it's all built around

3:52

constraints. And that's why it's so

3:54

useful for me. Uh because if you're like

3:56

me, you probably use lots of a agent

3:59

tools. You probably have lots of

4:00

business ideas. And

4:04

what that turns into is an agent for

4:07

every single task you think of a chat

4:10

GPT thread. You'll never come back to a

4:12

clog co-work project folder that sits

4:15

there until you remember about it two

4:17

weeks later. But what I like about

4:18

Grockbot is you are forced to be

4:23

missionoriented

4:25

because it's one thread, one bot. It's

4:29

DMs. It's like talking to a teammate.

4:32

And I actually think that design thing

4:36

is one of its best selling points. Color

4:38

and shape is all the human brain needs

4:40

to differentiate something. So you can

4:43

easily recognize all your different

4:45

little teammates here versus like a

4:47

grayed just like a gray thread in chat

4:50

GPT or Claude. It's just I find this

4:52

tool saves you so much on switching

4:54

costs and organization.

4:58

Um, so right off the bat, we're saving

5:00

time using this.

5:02

Am I sounding crazy here talking about

5:04

the design of the agency?

5:07

>> Well, you're not. I think like, you

5:08

know, a few weeks ago, the buzz was all

5:11

around Jack Dorsey's Buzz product, which

5:14

I think was such an interesting product,

5:17

but I think what, you know, I posted a

5:20

video about it and a lot of people were

5:21

just like, I don't I don't know how to

5:23

how to get this started. you know, it

5:25

was a lot of the technical people liked

5:27

it, but what it feels like is um

5:31

Grockbot is almost like a non-technical

5:34

version

5:35

uh of some of the features of Buzz. So,

5:38

if you're non-technical and you want an

5:40

agent team and you want this almost like

5:42

Slack-like experience,

5:44

um Grockbot is a good place to start.

5:47

Now, I think the big question that a lot

5:48

of people have is, and this is what I

5:50

want to get to by the end of this

5:51

episode, is you know, it's not cheap.

5:54

It's, you know, $200, $300 a month. Um,

5:58

you know, if Yeah. How can we Yeah. How

6:01

can we You have it right there. How can

6:03

we make Grockbot pay for itself? 5x,

6:05

10x, 20x, 50x. Um, where do we go?

6:10

>> Okay, Greg. Uh, you're not going to like

6:12

this, but you're going to have to pick

6:15

one project to work on with Grockbot.

6:18

>> Okay. So,

6:21

the problem that I found as someone who

6:26

uses lots of AI tools and builds lots of

6:28

business ideas is you can't you can't

6:30

you don't have enough tokens to build

6:32

four businesses as one at once. Uh

6:34

you're you're going to go into debt

6:36

paying for tokens. And even worse than

6:38

that, you're going to have context bleed

6:41

that's going to make all of your agents

6:43

less effective. So how Grockbot works is

6:46

these guys actually run on the cloud

6:49

which is different than a lot of agent

6:52

kind of team products that you use. Um I

6:55

don't

6:56

>> well they spin up a that's the

6:58

difference here right is they spin up

6:59

virtual machines for your agents

7:02

>> virtual machine they all live on one

7:05

computer in the cloud. M

7:07

>> I like pretty sure on that. I actually

7:10

hadn't

7:11

>> thought. Um

7:13

>> but why that's important is if I do my

7:15

newsletter in here and then I also do

7:18

like managing my Twitter and then also

7:21

I'm sorting receipts in my Gmail. That's

7:24

just going to add context bloat. That's

7:26

going to add files to trip them up. Uh

7:29

it it's going to slow you down and it's

7:31

going to ultimately burn tokens that go

7:34

towards your limit. Uh, I've noticed

7:36

that the Grockbot usage plan is pretty

7:40

generous. Uh, I think in the first week

7:43

I used it pretty heavily. Uh, but was

7:46

able to get through week one with like

7:49

10% of my usage left. And that's me

7:52

running one newsletter. So, Greg, like

7:54

imagine someone starting two new

7:57

businesses and managing their email.

8:00

you're gonna hit that limit and you're

8:02

gonna be like, "Well, I just set $200 on

8:04

fire and you're gonna be frustrated."

8:06

Uh, so you I I think you need to pick.

8:09

>> So, can you walk us through like, okay,

8:10

your cousin quits. Um, you need you need

8:14

to create an agent team. Like, walk us

8:15

through some of your agents, how people

8:18

could think about best practices,

8:20

setting them up, and and and just give

8:23

us the sauce.

8:24

>> Yeah, man. So, when you start, they give

8:27

you a bunch of preloaded agents that I

8:30

can't recreate here, but I like I picked

8:32

chief of staff from the list. And then

8:37

because I already had an existing

8:38

business, so if you have an existing

8:40

business, give it access to your

8:42

existing business docs and have it do

8:44

day one just like an audit research kind

8:47

of plan. So, I had it look at my notion,

8:50

my Slack, my Gmail, and I said, "Hey,

8:53

take stock of this business." And then I

8:55

need you to tell me the top three agents

8:59

that you suggest we create first for

9:01

this team to drive revenue. Right? Our

9:04

mission is to drive revenue. So what do

9:06

we need? And so my chief of staff went,

9:09

if we scroll back far enough, I can

9:10

probably find it. Um but that's probably

9:13

not worth doing. It kind of took it. So

9:15

it took a deep look at everything and it

9:17

said, "Okay, uh we're going to need a

9:20

research agent that researches the

9:23

newsletter items." So, it's a local

9:25

newsletter and we give you three things

9:27

to do every weekend and restaurant new

9:30

restaurant news, right? So, it was like,

9:33

we need a research agent. Um, we and

9:36

then chief of staff was like, I'm going

9:37

to edit it the first issue. We're not

9:40

going to do an editorial bot yet. So, we

9:42

just started with research sales and

9:46

then the newsletter goes through

9:48

Beehive. Uh so it suggested we have a

9:51

beehive expert agent that just anytime

9:54

we have a question about can we do this

9:56

in beehive like how does this look in

9:58

beehive stuff like that it goes to that.

10:00

So if your business is really dependent

10:02

on a platform say you want to set up a

10:06

Shopify store which is something we'll

10:08

talk about definitely having a Shopify

10:10

dedicated agent is a good idea just so

10:13

your chief of staff doesn't have to be

10:15

an expert in everything. So, is what I'm

10:19

hearing the first step is to set up a

10:21

chief of staff.

10:23

>> Set up a chief of staff. You need to

10:26

figure out how to get your team mission

10:27

aligned. And so, the mission of your

10:30

business should be to make money and

10:33

that's where you need to start. Have it

10:35

set up three teammates to start. Um, one

10:39

of the pitfalls I see people make is

10:43

having their agents make too many

10:47

decisions for them. Um, so for example,

10:50

I've been struggling with where does our

10:53

content live when we're writing the

10:54

newsletter. Does it live in a notion uh

10:57

database? Does it live in local files?

11:00

Do we have it in Google Sheets? Agent

11:02

hasn't been able to make a choice for 3

11:03

weeks. Uh, so finally I I was just like,

11:06

we're doing notion. No more tinkering.

11:09

Okay. So, for some reason, I think

11:12

that's just a rabbit hole people get

11:13

stuck in with AI is shopping around for

11:15

the perfect solution. So, at some point,

11:17

you're the person that has to make the

11:18

decision, not the agent. And so, then I

11:20

suggest once you build the team, just

11:22

run the damn ball. Run with that team

11:25

for a week and see what you can get

11:27

done. So, if you're starting fresh, use

11:30

that team to buy a domain, set up your

11:33

website, uh help you set up a new Gmail,

11:36

help you make your first sales list. So,

11:40

think about your chief of staff as as

11:44

the CEO of the business. CEO is not

11:47

going to run the be able to run the

11:48

business if it doesn't know how it

11:49

works. So, I'll give you an example. Say

11:52

you want to set up an outbound sales

11:55

agent for your newsletter and sell ad

11:58

space, sell ad space. Have your chief of

12:01

staff do that exact task once and then

12:03

once it does it and you've reviewed it

12:04

and it worked, be like, "Okay, now

12:07

create an outbound bot that does that

12:10

thing that you just did."

12:11

>> Yeah, it makes sense. Basically, you

12:13

have someone, you know, you you call a

12:15

chief of staff. I think of it more as

12:17

like a COO type person, like someone

12:19

running operations. And you're basically

12:21

saying like before you go ahead and go

12:24

crazy creating a bunch of new agents for

12:26

every single job to be done that you can

12:28

think of, the move is basically to

12:31

perfect it with the chief of staff or

12:33

the COO. Get it to a point where it

12:36

works. You're happy with the output.

12:38

Once the the output is pretty good, then

12:41

you're like, "Okay, I've earned the

12:44

right to create another agent that just

12:47

focuses on that." And then you give, you

12:50

know, I I would imagine it's important

12:52

to give that particular agent a goal as

12:54

well. So with the outbound agent, maybe

12:57

it's like you need to send x amount of

13:00

emails or you you know, we want y amount

13:04

of, you know, visits and stuff like

13:05

that. And then you know we haven't

13:08

talked about it but you know within

13:09

Grockbot there is the concept of um

13:14

essentially a cron job or a weekly you

13:16

know something that you can have it do

13:18

on a daily uh a routine I think it it's

13:21

called a routine on Grockbot where you

13:24

can have it uh automated right

13:27

>> yeah that's exactly that that's where I

13:29

was going to next so you don't have to

13:31

do it exactly like this but this is how

13:33

I did it I built the team we kind of

13:37

learned how to fly the plane. Uh, no

13:40

tinkering was the week two of running it

13:42

with Grock with Grockbot. Um, I didn't

13:46

allow myself to create any new agents,

13:48

not mess around with skills. I mean,

13:50

maybe add some connections, but it was

13:52

really about execution. And then week

13:55

three is when we expanded the team. So,

13:58

we found those gaps. So, okay, we need

14:00

someone manning the Gmail inbox because

14:03

chief of staff can't be doing that every

14:05

day. Uh we need someone manning the the

14:07

Shopify merch shop. Uh and then comes

14:10

automation. Um I mean you can do

14:12

automation at the top too after you

14:14

build the original team if you have a

14:16

good idea of how your business should

14:17

work. But basically what I did was I

14:19

said to my chief of staff bought in

14:21

here. I was like hey based on how we ran

14:24

this this week and our agent team what

14:26

are some routines we could set up to

14:30

make progress while I am not working on

14:33

this? So, I want you guys to move the

14:35

ball forward while I'm sleeping

14:37

automatically and you need routines for

14:39

that. Uh, so it put together a plan.

14:44

Most of these agents have depending on

14:46

their role

14:48

a daily or weekly or bi-weekly end of

14:51

day brief. So, those are that's a really

14:54

powerful tool with AI agents. Let me see

14:57

if I can pull one up.

15:00

So, it's got this instruction here and

15:02

it's routine. This is the social one. He

15:04

runs my he creates my graphics for

15:09

Instagram and runs the content calendar.

15:14

And so the instruction is to look at

15:16

your current to-dos,

15:19

what's new, like basically what did you

15:20

create today? What blockers do you have?

15:22

And then write a quick five line report

15:26

and send it to the chief of staff.

15:28

Um,

15:30

I think that you just five lines is all

15:32

you need. More than that is you're just

15:34

going to be burning tokens and context.

15:36

Uh, and then my chief of staff bot will

15:39

it'll be it'll pull up sh what's

15:41

shipped, what's stuck, and what needs

15:43

you. Uh, and so I told it this too. So

15:45

what's been done, what's blocked, and

15:47

what do I need to do to unblock.

15:50

>> That's awesome. And the reason why it

15:54

makes sense to have

15:57

multiple agents and not just giving the

15:59

chief of staff to do some of these tasks

16:02

is because you don't want to burn tokens

16:04

and you don't want to uh cloud up the

16:07

context. Is that right?

16:08

>> Yeah. Well, I mean, you need you need to

16:10

think about this like it's a real

16:12

business and like it's a real team. you

16:14

wouldn't have the the CEO or COO, let's

16:17

say, Greg, of a company, uh, going in

16:19

and making Instagram social posts every

16:21

day. Um, and like a real person, it

16:24

takes up mental bandwidth for that

16:26

agent.

16:27

>> Mhm.

16:27

>> And that's the idea. And you can click

16:29

in here and see it messaging other bots

16:31

and like asking it [clears throat] for

16:32

updates, which is pretty cool.

16:34

>> That is cool. I mean, that's like a

16:36

that's what's so cool about all this.

16:38

That's like a glimpse into like the

16:40

future of work where you have all these

16:42

agents kind of like messaging each

16:43

other, getting work done, coordinating

16:46

work together. Um, and then you're just

16:48

sitting there like kind of

16:51

updating

16:54

the the northstar and the metrics and

16:57

the goals and the context.

17:00

>> Yeah. Yeah. Exactly. And so mostly I

17:02

interface through this chief of staff

17:04

bot. But if I need to go deeper on

17:05

something, I I cut out the middleman

17:07

like you would at a real company. Uh I

17:10

would go right to the social person and

17:11

be like, "Hey, uh we need these

17:14

graphics." Like I I would give it

17:16

feedback and be like, "Can you change

17:18

the subtitles? Can you change the

17:20

background?" Just little edits like

17:21

that. Uh and then

17:24

you can tell it like, "Hey, when you're

17:26

done, uh update chief of staff when

17:29

we're done here." uh and it'll go report

17:30

back.

17:33

So the chief of staff kind of routes

17:34

tasks around

17:35

>> and theoretically, you know, you could

17:38

in the future create a so, you know,

17:41

bagel social strategist that's trained

17:44

on how like

17:48

Arag Eisenberg does his Instagram posts

17:50

and says that like pretend you're, you

17:52

know, Arag Eisenberg, here's some

17:54

context. Imagine he was reviewing these

17:57

posts. What would he say? and then feed

17:59

that context back to social bagel

18:02

social. Is that how you do it?

18:04

>> Yeah. Uh I've been lately having having

18:07

it do QA loops. Um

18:11

not so I haven't done it in Rockbot yet,

18:13

but in like Codeex, this is a general

18:15

agent pattern. So what Greg's talking

18:16

about is how do I automate feedback uh

18:20

for work product that agents create? And

18:23

there's this hack basically where you

18:25

say, "Okay, once you've done this once,

18:28

uh, create a a panel of sub agents for

18:31

Grockbot. It could be, you know, the

18:32

chief of staff or just other agents on

18:34

the team and have them do an adversarial

18:36

review of your work. Do that in three

18:39

rounds." And that has got that has made

18:42

me so much progress on stuff that

18:45

normally I would have to come back and

18:47

painstakingly review and critique. I get

18:51

a much more polish. It goes from like a

18:53

50% done

18:56

output to like 90% done.

19:00

>> Yeah. I mean, it also allows the human

19:03

to be less involved, which is helpful.

19:07

>> Yeah. So, to be less involved, but you

19:09

you really have to run you have to be in

19:11

the weeds with the team for a couple

19:13

days, a couple weeks before you can run

19:15

it autonomously. And you do that with

19:17

the routines like we said uh and you do

19:21

it with having agents review work that

19:25

you you teach them how to review like

19:26

you. So a useful thing could be so say

19:29

Greg like I gave all this feedback on

19:33

these posts that it did. I could say

19:35

okay take what we did in this thread and

19:38

turn it into a skill uh that another

19:40

agent can use when it's reviewing so it

19:42

reviews exactly like Billy, right? And

19:44

that's exactly what you would do.

19:46

>> And so if you want to see do you want to

19:47

see how the newsletter actually works?

19:50

Do you do you want to talk about like

19:51

the business case?

19:52

>> Yeah, I think Yeah, absolutely.

19:54

>> Okay. So

19:55

>> I do I do because I think that

19:58

there's thousands of potential

20:00

newsletter businesses that could be

20:02

built and run with Grockbot.

20:05

>> Yeah, thousands for sure.

20:09

So this is this is a local newsletter.

20:11

Um, but I've run newsletters in tech and

20:16

sports for different clients and

20:19

basically all you need to get started is

20:21

a niche and where to get the best

20:24

information to to put in the newsletter,

20:27

right? So, if you're really into I I

20:30

don't know, board games and you know all

20:32

the best board game subreddits and the

20:34

best board game review sites and and

20:37

message boards, then you can make a

20:39

newsletter where you aggregate and

20:42

editorialize

20:44

about new board games uh every week,

20:48

right? And so what you would do is you

20:52

would get a Beehive account. Mine runs

20:55

all through Beehive. Uh, I like to use

20:58

Notion for laying out my newsletter. And

21:01

you can connect Grockbot to it.

21:05

It's really easy. By the way, Grockbot

21:07

does connections way better

21:10

than any other agents.

21:12

>> I think it it it's called plugins,

21:13

right, on Grockbot.

21:15

>> It is called plugins. That's true. Okay.

21:18

So, this is a look at my

21:21

newsletter in notion.

21:24

And so in Grockbot,

21:27

so sometimes, this is a pro tip, if you

21:29

don't see a plugin that you want to use

21:32

or if for example you want to do

21:35

Shopify,

21:38

Shopify can it it can like the built-in

21:42

Grockbot

21:43

integration or plugin

21:46

just is skills for using Shopify.

21:50

It can't actually do anything in your

21:51

store. So you'd have to install the

21:53

Shopify CLI. And so to do that, I would

21:56

just say, "Hey, set up this command line

21:58

tool and it can use that on its own

22:01

computer here that you can view at any

22:03

time."

22:05

>> And that's because Shopify has a CLI,

22:07

right?

22:08

>> Yes. Yeah. But it's pretty intelligent.

22:11

If you want to connect something, it'll

22:13

just create like a card in the chat and

22:15

be like, "Okay, here's where you put

22:16

your API key or click this to go sign in

22:20

with OOTH." It's it's like really easy

22:23

to use, very low friction.

22:25

Okay, so basically

22:28

what you would do for creating a

22:29

newsletter with Grockbot is you would

22:31

make a list of your sources in can be a

22:33

Google sheet, it can be a notion and

22:35

then you have your research bot go out

22:36

and look. So I do mine twice a week. uh

22:39

we send once a week on Thursdays and I

22:42

tell it to go look and then uh it fills

22:45

in these cards in notion with okay this

22:49

this is a new restaurant story um here's

22:52

when we should publish it here's a short

22:54

summary

22:56

and then if it's an event

23:00

here's when they're showing Shrek it'll

23:03

look like this and I have it set up so

23:05

then when I move it to process uh

23:08

there's make.com automation that writes

23:12

like the actual blurb for my newsletter

23:14

how I want it. Uh, which is a little

23:16

advanced, but you can have Grockbot

23:18

write the actual like news item for you

23:20

like in the page in notion.

23:22

>> Yeah. Like why why even have a make.com

23:24

automation?

23:26

>> Uh, so this is like a big agent thing in

23:28

general is

23:30

once you've got a workflow that's

23:32

working for you, you want to get rid of

23:33

all the ambiguity. Uh, so I could have

23:36

Grockbot write the blurbs every week and

23:39

it does a really good job. Uh, but it I

23:42

if the model changes or I don't know,

23:45

just depending on how the bots's

23:46

feeling, it might write them differently

23:49

because that's just how it is. They're a

23:51

black box. And so if you're running

23:52

something business critical, you want to

23:55

automate it as much as you can. And that

23:57

also frees up tokens for you to do more

24:00

building with Grockbot, right? So you

24:01

want to you want to build, you want to

24:03

execute, and then and then automate. Um,

24:06

so when but you can have Grockbot

24:09

automate stuff. So I can and Greg,

24:11

you're right. I can do a good job having

24:13

it make an SOP and I can say, okay,

24:16

every time you write an article, a news

24:18

story, run this script that formats it

24:21

exactly how I want. And Grockbot can run

24:22

a script on its computer every time. Uh,

24:25

so you could do it that way. And it's

24:27

just I don't know you can do more volume

24:29

on make.com with like an open AI key for

24:31

little widget tasks like that.

24:34

>> So it's a cost thing.

24:36

>> It is. Yeah. So like with the scale of a

24:38

newsletter, I could I could waste

24:41

Grockbot tokens uh writing news stories

24:44

on

24:46

say like 200 potential news stories. Uh,

24:50

or I could have Grockbot filter out and

24:54

just keep the best ones and then have my

24:57

make.com chattbpt automation write the

25:00

little two sentence blurb. I don't want

25:02

to waste It's like a real employee. If

25:04

you have a high performing employee, I

25:06

don't want to waste it writing little

25:07

two sentence summaries uh over

25:11

like every week for for a hundred items

25:13

that I may or may not use. But again, I

25:15

got here because I stood up the process

25:17

and did it manually with Crockbot first.

25:19

I had it writing those blurbs every

25:22

week. And I can give you an example. I

25:25

keep saying blurbs, but this is what

25:28

these events bas that it finds basically

25:30

turn into. Uh, and they're formatted the

25:32

same every week. There's like emoji, uh,

25:35

event title,

25:37

the time, and then a summary. That's the

25:39

part that I use OpenAI for, but Grockbot

25:41

can do it.

25:42

>> Um, okay. And then sales. So, Grockbot

25:45

actually found me a sponsor this week.

25:48

Uh, and it's because I connected it to

25:51

my Gmail and had it just monitor for

25:54

inbound. And there was something I

25:56

missed like last week with a local

25:59

actually bagel shop owner reached out

26:01

and

26:03

he actually invited me and my wife and

26:05

we went over there this morning and he

26:07

gave us free bagels and we're talking

26:10

about him sponsoring and that's because

26:11

Grockbot found it and was like, "Hey,

26:13

you should follow up and you should

26:14

pitch him on this exact ad slot." And

26:17

that's because I set up this outbound or

26:19

uh this inbox monitor and this uh sales

26:23

agent. And the sales agent, what you

26:26

have to do when you're setting up the

26:28

business is, okay, I need you to set up

26:32

and price everything that we sell. Uh

26:34

and so in this case, it looked at what

26:37

ad slots we had and how they were

26:39

priced, and then it updated them based

26:41

on the market and the growth of the

26:44

newsletter. Uh, and it made a sales

26:47

sheet that we could show this local

26:48

business.

26:49

>> That's awesome. That seems like a

26:52

nobrainer. So, um, I'm just thinking

26:56

about myself. It's like I should have

26:58

like let's say I have any media, you

27:01

know, any media property should have

27:03

like an email, I guess, right? And we

27:05

should have like for for sponsorships

27:07

opportunities, reach out to sponsorships

27:09

at whatever. And then basically what

27:11

you're saying is you have Grockbot

27:13

monitoring that inbox, pricing things

27:16

out, sending messages. Um, and then does

27:19

that go to your chief of staff

27:21

eventually that reviews it or it just

27:24

goes like how does the flow work?

27:26

>> Yeah, it goes to the chief of staff. The

27:29

salesbot will say, "Hey, chief of staff,

27:31

we we're looking at uh this

27:34

potential sponsor. Does this email

27:36

outbound message make sense?" And right

27:39

now the chief of staff runs all of those

27:41

by me. And so I'm kind of being like,

27:43

"Okay, put this in Gmail and I'll edit

27:45

it and send it." Uh, and then the idea

27:47

is it'll just improve over time as I

27:49

give feedback. I

27:52

for something like this, Greg, I believe

27:54

with cold email, it's quality over

27:56

quantity for especially a local

27:58

newsletter. So it that's the thing

28:01

that's worth your time to make little

28:04

tweaks to. And

28:07

the beauty of Grockbot is it kills that

28:09

writer's block for starting that

28:10

outbound message. And so here's the

28:13

trick. If you're new to doing this kind

28:16

of outbound outreach for your business,

28:18

even with AI,

28:20

you don't want to boil the ocean. So,

28:22

you don't want to make a sales bot and

28:24

say, you know, get me every car

28:27

dealership in the state of New York and

28:31

write a message to every sales agent

28:32

there and set up three subdomains so

28:35

that my email stays uh not in spam,

28:38

right? What you should do is set up an

28:41

automation that goes on Monday that

28:42

goes, okay, your job is to add five

28:46

prospects to our list and then on

28:48

Monday, okay, pick the top three

28:51

prospects and create an ad package

28:54

custom to them and draft an outbound

28:57

email and then send it to chief of

28:58

staff. And you'll make more progress

29:00

doing that, I promise you, than doing

29:04

200 outbound emails at a time. What

29:06

about ideas for the agents? So, one of

29:10

one of my

29:12

one of my Grockbot agents is just an

29:15

idea agent and his his role is to come

29:19

up with ideas for my other agents like

29:22

creative ideas because I don't want to

29:26

be this the person always prompting my

29:28

agents to come up with ideas. like how

29:31

how do you think about that

29:34

>> for for business ideas or

29:37

>> like I specific ideas for agents? So for

29:41

example like

29:42

>> um yeah like for uh the social for

29:46

example bagel social it's like

29:49

>> you know you I think what makes humans

29:51

amazing is like we're at least creative

29:56

humans are going to be like coming up

29:58

with new ideas always trying to push it

30:00

forward like you know culture changes

30:02

therefore like you know you move social

30:04

content based on where culture is going

30:06

and I find that agents you know one of

30:08

the reasons why AI slop is a thing is

30:12

it's it if it's under the same loop, it

30:14

just kind of follows the same loop and

30:16

you end up getting like creative and you

30:17

get product that kind of looks the same.

30:19

So my question for you is do you have

30:22

any ideas around using Grockbot

30:24

to come up with creative ideas? My

30:27

example is I actually went and asked it

30:30

to create an idea idea generator and it

30:33

works with my other agents.

30:36

>> Yeah. So, how do we keep it how do we

30:37

keep the Grockbot agents out of the loop

30:39

of

30:41

not not improving, right?

30:44

>> How do we introduce new ideas?

30:45

>> Um, I don't, Greg, really. Like, I Why I

30:49

like Rockbot and how I use it is I only

30:52

add an agent if we really like need it.

30:54

I just I'm so anti idea creep and agent

30:58

creep because that's how you burn

31:00

tokens. That's how you spin your wheels.

31:02

That's how you don't make pro progress.

31:04

Um,

31:06

you can do what I did at the beginning,

31:08

that chief of staff audit. You can run

31:09

it regularly and say, "Hey, look at how

31:12

we worked this week.

31:13

>> What agents can we add? What can we

31:16

remove? Um, what should we turn into a

31:19

routine or a skill?" Uh, you can do that

31:23

kind of automated improvement, but no, I

31:25

don't I don't have a good solution for

31:27

that.

31:28

>> Well, you're you're you're basically

31:29

saying like, "Let the agents cook. Let

31:32

the and and basically don't like it

31:35

sounds like what you're saying is and

31:38

you've been consistent in sense like

31:39

don't create a lot of agents. Create a

31:42

small amount of agents that focus on

31:44

high quality, high value work. Uh make

31:48

sure that it it it meets your bar. Have

31:51

a chief of staff manage these agents,

31:55

but only create an agent if it is

31:57

missionritical.

31:59

Correct. Yeah. And that's exactly how

32:02

you should talk to your chief of staff

32:04

who manages your team.

32:06

>> What else haven't we covered around

32:08

Grockbot that people need to know about?

32:13

>> Well, we talked about the computer a

32:15

little bit, but it can access files on

32:18

your computer.

32:20

So,

32:22

I'm not sure how you I think I think it

32:24

asked permission like one time and then

32:26

it's allowed to. Um, you can get it on

32:28

your phone and then it can run either on

32:30

this computer or if the app is open and

32:33

your your laptop's on, it can do stuff

32:35

on your computer.

32:38

Um, I would say my main takeaway from

32:40

that is like don't go against the grain.

32:43

So, Grockbot works well on its computer

32:45

and it can read stuff on yours, but I

32:47

find myself falling into this trap of

32:50

okay, you know, generate a report and

32:52

then put it on my desktop and then put

32:55

it in notion. Uh, so and I I don't know

32:59

if other people are like this, but you

33:01

end up just working on the system more

33:02

than the actual output. So I'm kind of

33:06

like I tell my agents like, okay, work

33:09

create stuff on your computer and then

33:12

when it's done, send it to me in chat

33:14

and

33:16

put it in notion.

33:18

Not like when it's done, like after I've

33:19

reviewed it. Um, that way you don't have

33:22

to be like, "Hey, that thing we were

33:24

working on yesterday, like where is it?

33:26

Is it is it on your computer? Is it on

33:29

my computer? Is it in the cloud?" Right?

33:31

You're you're just creating problems for

33:33

yourself.

33:34

>> So, I think a lot of people are going to

33:37

watch, listen to this, and really like

33:40

the whole agent team idea is going to

33:42

click in their heads.

33:43

>> Yes.

33:43

>> Um, I think that there's tons of

33:46

different business ideas that you can

33:48

build on top of this. You know, one of

33:50

them is local newsletters.

33:54

What else could people be building?

33:56

>> Anytime of new any type of newsletter

33:58

doesn't need to be local. Uh probably

34:00

would be easier not uh to get the ball

34:03

rolling on one that's not local. That's

34:05

a whole different can of worms. Um,

34:08

Shopify. I'm I've got a diff a separate

34:11

Grockbot account that I pay the $200 for

34:15

because I'm so crazy about keeping the

34:17

contact separate and it's just Shopify.

34:20

And so I'm training it to be uh to use

34:22

the Shopify developer tools and to

34:25

source products. I have a sourcing

34:27

agent, a developer agent, and like an

34:30

email agent right now. Um, and I'm still

34:33

setting those up, but Crockbot does an

34:36

outstanding job of researching products,

34:40

sourcing products. Uh, and so I'll just

34:43

I what I would do is say I have an idea

34:45

for this product. Um, I have I really

34:49

like this company and its product. I

34:51

want to do something that's in in the

34:53

same category, uh, similar price point.

34:57

and it knew to go look at Import Yeti,

35:00

which like can just look at people's

35:02

Shopifies and tell you like exactly what

35:05

they're sourcing and like what their

35:06

margins are. It did that on its own. I I

35:10

was kind of blown away and it made these

35:14

reports on each product idea and was

35:17

like, "Here's my recommendation." Always

35:18

ask for recommendations, by the way.

35:20

here. Like my bulletproof system for

35:22

testing business ideas with Crockbot is

35:25

I want to do this, this, or this. So,

35:28

I've got three ideas. Maybe they're

35:30

similar, maybe they're different. Go

35:31

research each of them, figure out how I

35:34

can price it, what the cost is going to

35:37

be, and then give me your top three

35:39

recommendations on how to do the damn

35:41

thing. And it just works. uh you it your

35:45

task should not be open-ended when

35:47

you're doing research or you're just

35:48

going to end up doing research for two

35:50

weeks.

35:50

>> That's fair. Okay. So, you think I mean

35:54

you think Shopify that there's still

35:56

opportunity in in finding products,

35:59

finding audiences for those products and

36:01

then having agent teams manage that

36:04

whole process. That's,

36:07

you know, that's interesting because

36:08

like a, you know, on on this podcast we

36:11

talk a lot about like digital products,

36:13

SAS, vertical, AI,

36:16

um, not so much on the Shopify side. So,

36:19

it it is it's just interesting. Yeah, I

36:22

I'm not like an ecom expert. This is an

36:25

experiment uh I'm working on, but I

36:28

think it's nice to work on something

36:30

physical because the cost of creating

36:32

digital things is going to zero. there's

36:34

no friction there.

36:36

>> Uh actually making something physical uh

36:38

a brand that you can just like build

36:42

over time. I think that I think that's a

36:44

smart thing to do.

36:45

>> And over here I see you have site

36:47

builder stack. What do you mean by that?

36:49

>> Yeah. So I I just have an agent uh on my

36:53

other account that has this simple stack

36:55

of Cloudflare um the CLI tools. Uh

36:59

Porkbun is where I buy domains. So it

37:01

can log into that on its computer and

37:03

buy a domain. Um, and then I use this

37:05

thing called Astro for for it's a

37:08

framework for creating static sites and

37:10

it's connected to my GitHub. And so

37:14

basically like I needed I needed a link

37:18

for people to book meetings with me. Uh,

37:21

and I didn't want to pay for Calendarly.

37:22

So I said I got it set up on this stack

37:25

and I said go embed my three different

37:28

Google calendars on this. And I was

37:30

literally sitting on the phone on the

37:33

beach and it would send me, okay, here's

37:36

a mockup of this. And I would tell it,

37:37

okay, make another branch and do a

37:39

mockup in this style and it would come

37:42

back and through Cloudflare, it would

37:44

have separate developer links that I

37:46

could review the different styles in.

37:48

And then when I said, "Okay, I like that

37:50

one." It connected it to the domain that

37:52

I owned. Uh, and it went live all from

37:55

the beach. And I set that up in 2 or 3

37:59

hours. that that that stack uh and I'll

38:02

probably use it for a long time just for

38:04

simple I need something to exist on the

38:07

internet. It doesn't need to be perfect

38:08

or pretty.

38:09

>> So is you know is that just like

38:12

internal tools building internal tools

38:15

or is there an opportunity to build some

38:17

of these tools and sell it to other

38:20

businesses?

38:21

>> Yeah. So what I would use this for is

38:24

landing pages. So yeah, it's kind of an

38:27

internal tool. If I want to sell say a

38:29

local business on being a sponsor, I

38:31

could just say, "Hey, um, you know, make

38:33

a landing page that speaks directly to

38:35

this customer or directories." Uh, so

38:38

Astro specifically is really good at

38:40

directories. So if you if you're

38:42

interested in the SEO game,

38:44

just drew through that. This is the

38:46

stack for testing and iterating.

38:50

And I would just have a research agent

38:52

that adds to the directory. So if you

38:54

want to make a directory of pickle ball

38:58

equipment, I would set up a coding agent

39:01

that uses this stack and a research

39:03

agent. And every day the research agent

39:06

investigates a new brand and writes a

39:08

great page on that brand as markdown and

39:13

then it hands it to the engineer who

39:14

posts it. Um, then you would, you know,

39:17

set up an agent that collects referral

39:20

links and does outbound to get to get

39:22

deals once you have the traffic. Uh, and

39:25

you could rinse and repeat that if

39:26

you're interested in doing kind of the

39:29

SEO directory game.

39:30

>> Yeah. So, I've done a few episodes on

39:34

directories in the past. I'll include

39:36

the latest one uh with my friend Frey

39:39

who does a good job of kind of

39:41

explaining why directories matter, how

39:43

it's a good like 10k, 25k, 100k a month

39:46

business. Um you know what is a

39:48

directory? It it's basically just

39:51

curated data on a website. So it's

39:54

you're picking a topic and you're like

39:56

here's the best xyz in this topic. And

40:01

in an AI world, we actually need

40:03

directories more than ever because um

40:07

there's just too much information. So

40:09

when it's curated,

40:11

uh it's helpful. Also, the whole like

40:15

SEO game is changing right now. Like

40:17

what's being, you know, like people are

40:19

going to chat GBT and they're going to

40:21

Google AI overviews

40:23

um to actually get, you know, con to

40:26

consume content and they need platforms

40:28

like that need directories. So I think

40:31

using Grockbot as the basis for your

40:34

directory is absolutely brilliant. And

40:37

the be beautiful thing about a directory

40:39

is it's a once you build a strong

40:42

directory it's a foundation and you're

40:45

getting thousands of visits a month

40:47

let's say and then you could say you

40:50

know what I want to build a Shopify

40:51

store. Actually you know what I want to

40:53

build a newsletter. Oh you know what I

40:54

actually want to build a SAS or you know

40:55

what I want to build a mobile app. So,

40:57

it's actually a really good place for

40:59

people to start.

41:01

>> Yeah. And the cool thing about a

41:02

directory is it ties in with this. Not a

41:05

local newsletter, but niche newsletter.

41:08

So, say we're doing that board game

41:09

idea. You could have it built out like

41:12

board games that are good for for

41:14

parties could be your niche directory.

41:16

And you could have a newsletter that

41:17

talks about that, too. Uh you could have

41:19

this on a sub subdomain or a different

41:21

domain than your newsletter. and uh they

41:24

tie into each other. So you can monetize

41:27

uh by linking people to the directory

41:29

and have a referral link there. Uh you

41:31

could do those warm leads from those

41:34

referral links could become sponsors in

41:36

your actual newsletter. Uh the I think

41:40

the the lowest barrier to entry with

41:43

Grockbot to start a business is probably

41:46

newsletter and then directory. I think

41:49

that stack goes together really nice.

41:51

>> Beautiful. All right. I think uh I think

41:54

we covered what we wanted to cover. Is

41:56

there anything anything else you want to

41:58

leave people with?

42:00

>> Yeah. Um I would do this try this for a

42:03

month. Set up Grockbot for one project

42:07

and uh run it like a real team like we

42:09

went over and

42:13

let us like let me know like tweet at me

42:15

like did you make progress doing this? I

42:17

I like this is your sign to pick

42:19

something that you've been thinking

42:20

about and pursue it aggressively versus

42:24

trying a new tool and researching ideas

42:27

for 4 weeks. Uh so do this. Build a

42:30

Spotify or newsletter or a directory uh

42:34

with Grockbot and I think you'll see

42:36

what I mean. This I haven't been excited

42:38

about a tool like this um

42:41

maybe like all year. Maybe this is my

42:43

favorite this year. Um

42:46

Yeah. So, tweet at me.

42:50

>> What's so interesting about this tool is

42:52

we've seen glimpse of this in other

42:54

tools, but nothing has been as simple

42:57

and has just like worked as well as

42:59

Grockbot. So, it's really fun. Also,

43:02

like the value that you can actually

43:04

create is massive. And I'm glad that

43:08

during this episode we covered it wasn't

43:11

just about the big ideas, right? These

43:13

are like little ideas that you can start

43:15

today that anyone can do and who knows

43:18

where that goes. Yeah, maybe that turns

43:19

into a big idea. Um I'm sure when Rowan

43:22

was starting the rundown, he didn't, you

43:23

know, think it was going to get to

43:24

millions of subscribers uh on his on his

43:28

newsletter worth millions of dollars.

43:30

So, you know, you start small, you

43:33

automate what you can, you keep it, you

43:35

a few agents. I love your I love your

43:38

framework. build team week one, execute,

43:41

no tinkering, week two, week three,

43:43

hire, fire, week four, automate. Um, and

43:47

uh, and do it with one business and and

43:50

just keep iterating and creating value

43:52

for customers. I love it. Billy, thank

43:54

you for coming on. I'll include links

43:56

for where to follow Billy in the show

43:58

notes, in the description. And I want to

44:01

hear and Billy wants to hear what you

44:04

know what you think of Grockbot. So, in

44:06

the comment section, please let us know.

44:08

I read every single comment and I and I

44:11

and I reply to most. So, let would love

44:13

would love to see you there. And uh

44:16

thanks again, Billy. You're a legend.

44:18

>> Thanks, Greg. It's been a blast.

Interactive Summary

This video features a deep dive into using Grockbot, an AI agent orchestration tool, to run a business from end to end. The host and his guest, Billy Howell, discuss the power of Grockbot for non-technical users, emphasizing the importance of staying mission-oriented and avoiding 'agent creep'. They outline a framework for success: build a focused team of agents (like a chief of staff, research agent, and sales agent) in week one, spend week two executing without tinkering, expand in week three, and finally implement automations. The episode also explores practical business ideas such as local newsletters and directories, highlighting the platform's ability to handle complex workflows while keeping context clean and minimizing token waste.

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