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Grok Bot for Founders

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Grok Bot for Founders

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1118 segments

0:00

All right. Hello everyone.

0:02

Welcome. Really excited you all are here

0:05

and thank you for letting me interrupt

0:08

the cooking session that's happening on

0:09

the live stream and also for joining

0:11

this workshop about Grokbot for

0:13

founders. I'm Shub and I spend a ton of

0:17

time with founders helping them optimize

0:19

their Grokbot setups and ship quickly

0:21

and so I'm very lucky to be pushing this

0:23

product to its limits and today I want

0:25

to share some of those learnings with

0:27

you guys and hopefully get into some

0:28

live demos. So, let's get straight to

0:30

it.

0:31

I'll start with what we're going to talk

0:33

about. Over the next 60 to 90 minutes,

0:36

we will run through some really quick

0:38

context around Grokbot, why it's

0:40

particularly useful for founders and

0:43

then finally obviously some demos. We

0:45

got to have those. We will close out

0:47

with some tips for power users that

0:49

people seem to love and then also try to

0:52

do some Q&A for at least the folks that

0:53

are here with us present live.

0:56

The final bonus piece I will add is that

0:58

I'll be sharing one of these bots at the

1:00

end so you can steal it for yourself. I

1:02

wish I had like a call now number but

1:04

you know, we'll we'll make do.

1:06

Also, there will be a few of you in this

1:08

session that are not founders. You will

1:10

have snuck in which is awesome. Kudos. A

1:12

lot of this will still apply to you

1:14

especially if you are head of X at your

1:16

company. So, stay posted and for those

1:18

of you with Grokbots watching this

1:20

session, this is the time for you to

1:22

probably watch it live cuz we got some

1:23

cool stuff going on. So, let's get

1:25

straight to it.

1:27

A few of you have probably already seen

1:29

some version of an AI maturity curve.

1:31

Everyone is freaking out about this

1:32

these days but for us we are really

1:35

optimistic with how the world of AI is

1:37

changing.

1:38

As models improve and the tooling

1:40

improves, we are able to scale our

1:42

productivity quite a bit and so you'll

1:44

see that we started with chatbots, moved

1:46

on to ephemeral agents that finish a

1:48

task and then you kind of throw them

1:50

away. And now bots are kind of this next

1:52

iteration of what we're really pumped

1:54

about which is

1:56

bots that automate your jobs and bots

1:58

that you can have around for a really

1:59

long time. The key part is that these

2:02

bots actually compound and I think

2:03

that's the most important piece is you

2:06

let them do a task but you don't throw

2:07

them away. You keep them around, you

2:09

invest in them, and they get better with

2:11

you the same way an employee would.

2:13

Finally, what we're aiming for is this

2:15

world where you can just fully automate

2:17

a staff function for yourself and scale

2:19

yourself with a team of bots and we're

2:21

getting pretty close to that.

2:22

Internally, we've seen some external

2:24

examples of that and I want to share

2:25

some of that today. But,

2:27

we're really excited about what Grokbot

2:29

can do

2:30

and I know this is all very high-level

2:32

so maybe we get into the specifics

2:33

really quickly.

2:34

How many of you here have used Grokbot

2:36

before? Just quick check live at least.

2:38

Perfect. Most of you it seems. Uh so I

2:40

will blaze through this. Uh Grokbot is

2:43

obviously a new tool that you can talk

2:46

to just like a coworker or teammate. You

2:49

basically text it like iMessage and it

2:51

can go off and do a lot of really cool

2:53

things for you. It is very proactive and

2:55

very ambitious and the reason it can do

2:57

those things is because we've armed it

2:59

with its own computer. So, unlike

3:01

traditional agents where they don't have

3:03

the MCP or the API or some sort of

3:06

direct connection to what they need to

3:07

do, uh

3:08

Grokbots can go off and do things on

3:11

their own even if they don't have the

3:13

perfect level of access and we'll get

3:15

into how that works in the demos really

3:16

quickly. But, they learn from you,

3:19

they're proactive like I said, and they

3:20

have their own device. And so, they can

3:22

not only connect to other products

3:24

directly but they can use your tools the

3:26

same way you would. And I'll explain

3:28

what that means in a second. But,

3:29

overall what you need to know is

3:32

you can assign Grokbots tasks completely

3:35

end to end. So, for you, all you need to

3:37

do is delegate to them and the mental

3:39

load of having to check on your agents

3:41

and make sure they've done their work is

3:43

gone because in the ideal state a bot

3:45

just handles the full end to end flow

3:48

for you just like a colleague would and

3:49

they They figure it out as I like to

3:51

say.

3:52

Okay, with that

3:54

obviously a ton of founders in here. And

3:56

so, you probably know what GrokBot is

3:58

and you're wondering what can this thing

3:59

do for me. And so, there are a few

4:01

things that are really important to

4:02

understand. First, you all know your

4:04

responsibilities as founders, right? You

4:06

have three key execution pieces that

4:09

either make or break your company. And

4:11

those are one, you need to preserve your

4:13

focus. You have a trillion things

4:14

hitting you all day. Two, you need to do

4:17

that while maintaining velocity across

4:19

all of the things that your team is

4:20

shipping. And then finally, you need to

4:22

really protect protect your ability to

4:24

make great, high-quality insights all

4:27

day. That means good decisions and

4:29

planning for the future. And GrokBot is

4:32

uniquely positioned to make all of this

4:34

way easier. You'll see some features up

4:36

here on the slide, but I think most

4:38

importantly, GrokBot can handle all of

4:41

the distractions in your day-to-day

4:42

work. The stuff that is necessary, but

4:45

not necessarily the most important. You

4:47

can just hand off to GrokBot. And that

4:48

mental load that it saves you is

4:50

probably more important than anything

4:52

else I'm going to talk about today. And

4:53

so, it's worth you taking the time to

4:55

audit what that means for you.

4:57

The second is, like I said, it can get

4:58

its tasks done end-to-end. And so, that

5:01

means you really want to prompt your

5:03

bots to do all of the work for you. Not

5:06

just parts of it the same way you're

5:07

used to today, but really do all of it.

5:09

That includes the execution and the

5:11

verification of what it's done.

5:13

And then finally, I think there are

5:16

large amounts of information that we're

5:17

all consuming every single day. My

5:19

screen time on X today is very

5:21

embarrassing, and I'm sure your guys

5:22

hopefully is too. And what that means is

5:24

there's just a constant flow of

5:26

information. In order for you to

5:27

maintain the same level of quality on

5:29

your insights, you need to find a way to

5:31

triage that entire fire hose. And

5:34

GrokBots are really well positioned to

5:35

do all of that.

5:37

Okay, with that

5:39

it's pretty clear to most of us now that

5:41

this is the best time in history to

5:43

build something, especially in software.

5:45

And Lingji, who's one of our engineers,

5:47

who was talking earlier, mentioned that

5:49

he can ship way faster with Grokbot than

5:51

he ever could before. I'm sure all of

5:53

you have seen this at this point by

5:54

kicking off cloud agents.

5:56

Uh there is this ability to delegate

5:58

these full tasks that I will harp on

5:59

forever. Uh you can automate a lot of

6:02

the pieces that you have to think about

6:04

constantly with routines. So, you can

6:05

have them set on schedules, on web

6:08

hooks, on signals, so that once they're

6:10

taken care of once, they can just happen

6:12

forever. And then finally, and I think

6:14

most importantly on this slide, is you

6:16

can do things that don't scale, except

6:18

you can actually scale them, which is

6:20

really cool. I'll get into a demo around

6:22

how that works, but we've all heard the

6:23

stories of how most startups win their

6:25

first customer. There's some sort of

6:27

hacky approach where you build some very

6:29

niche

6:30

super janky prototype and just hope that

6:33

it works for them. And then when they

6:34

finally sign that contract, you breathe

6:36

a sigh of relief, and then you do it a

6:38

hundred times again. And so, with this,

6:41

and with Grokbot, you can now make all

6:43

of this happen without the constant

6:45

headache that comes with it. And I'll

6:47

get into a demo about that in a second.

6:48

But, we're very excited about what this

6:50

means for founders specifically, because

6:53

you're all generally the most

6:54

high-agency people out there. And so, if

6:56

you have a product that enables that

6:57

agency, we get to some very, very cool

6:59

ships coming out in the next few years.

7:02

Okay. Let's get into some use cases that

7:04

I'll be harping on today.

7:06

Obviously, you all experience your own

7:08

unique pain points, but these are a

7:10

pretty good reference point for how you

7:12

can use Grokbot in your day-to-day. And

7:14

the four I'm going to talk about are

7:15

first, closing customers. So, this is

7:18

the do things that don't scale part.

7:20

It is

7:21

way easier now than it has ever been to

7:23

take your customers and go with them end

7:26

to end without you having to do a lot of

7:27

that hand-holding and the intimate

7:30

conversations. You can really focus on

7:32

just getting your bot to handle most of

7:34

it, and then step in when absolutely

7:36

needed.

7:37

The second is product changes. As you

7:40

know, engineers ship way faster now.

7:42

You're probably shipping way faster, and

7:44

staying across that many people shipping

7:46

that quickly can sometimes leave you

7:48

with some pretty embarrassing moments.

7:49

There were actually times when I was

7:51

demoing Grokbot in its earliest forms,

7:53

and we removed a certain feature uh that

7:56

was in the sidebar, and I was so used to

7:58

pointing at it. And when it was

8:00

unshipped, because I was just, you know,

8:02

busy that day, I didn't see it. And so,

8:04

I was kind of demoing and pointing at

8:06

nothing, which was really embarrassing.

8:08

I hope someone else has gone through

8:09

that experience, cuz it is not fun. But,

8:11

this will go through how you can stay

8:13

across all these product changes. The

8:15

third is adapting to competitors. I

8:16

think this is the most fun demo we're

8:18

going to do today, and also one that's

8:19

been pretty useful for me, at least. And

8:22

so, basically, there is now an

8:24

opportunity, because these bots can work

8:26

as you, to go through other products and

8:28

other competitors, and get a lot more

8:30

insight than you ever could manually.

8:32

And then finally, shipping feedback

8:34

quickly. We all get feedback all day.

8:36

Believe me, we get more feedback than

8:38

probably anyone, and a lot of it is not

8:40

very nice, so please be nice to us. Uh

8:42

but, shipping feedback quickly is super

8:44

important. And so, I will go through how

8:47

you can do that as a founder.

8:49

All right, without further ado, let's

8:50

meet my squad here. Uh we're going to go

8:52

through four bots today. The first is

8:55

the close bot. That is the one that

8:56

handles my customers. The second is prod

8:59

bot, which is what figures out what's

9:00

been shipped and helps me stay across

9:02

all of it. The third is stock bot. That

9:04

is the competition stalker. And the

9:07

fourth is proto bot, which is pretty

9:09

fun. Uh it makes some designs for me,

9:11

but it also turns feedback into PRs. And

9:14

then, we have a little guest star that

9:15

I'll talk about in a second.

9:17

Okay, with that, let's get into the

9:19

actual demos.

9:22

All right, here is my Grokbot interface.

9:24

I'm on a demo interface right now.

9:27

Usually, there's a lot more mess on this

9:29

screen, so hopefully it's a little

9:30

cleaner and easier to parse for you

9:31

guys.

9:32

The first bot I'll start with is close

9:34

bot. And there are two key things that I

9:36

want you guys to keep in mind while I go

9:38

through this. The first is remember that

9:41

your bots can compound. So, you can

9:43

constantly be feeding them insights and

9:45

information, and they will store it,

9:47

reference it when necessary, and get

9:49

better over time, which is really

9:50

important. The second thing is like I

9:53

said, they can use your computer and

9:54

work with your tools, which gets really

9:56

important as you start to try to do

9:58

things end to end. So, CloseBot here,

10:00

and I'll leave a little cheat sheet on

10:01

the side for you guys, does a few

10:03

things. It focuses on prepping calls.

10:06

So, when you need to talk to a customer,

10:08

it will do a ton of deep research on

10:10

them. It'll look through our telemetry

10:12

and what we've done with them, and make

10:14

sure that we have complete insight into

10:16

how they work. And then it will finally

10:18

do a walk-through of what they're

10:20

building and their site in case it's

10:22

relevant to what we talk about. Uh there

10:24

are a few other steps, but I'll start by

10:26

asking my bot to prep the call.

10:30

And in this case again, I'm in a demo

10:31

environment. I don't want to leak

10:33

anyone's personal data or any company's

10:36

personal data, but this bot will go off

10:38

and basically prep a call for this

10:40

company that we're calling Northwind.

10:42

And the way it does this, and the way I

10:44

actually do this right now, is it pulls

10:47

all of the data for its usage. So, if

10:50

you are a founder and you obviously have

10:52

that telemetry, it is very good for

10:54

customers that are just trying out your

10:56

product or on a free trial to understand

10:58

what they're actually doing within your

11:00

product. And then also to understand who

11:02

they are. Those are probably the two

11:03

most important things before you you get

11:05

onto a customer call, because that is

11:07

how you resonate with them in the

11:08

quickest manner possible. Again, you

11:10

don't have that long with these folks.

11:11

You generally have around, you know, 15

11:14

to 20 minutes with your customers. And

11:16

so,

11:17

what's really important is you get to

11:18

the crux of what they need and match it

11:21

with what you're doing. And bots help

11:23

you do that really quickly. And so,

11:25

right now it's going through

11:27

essentially some demo prep. But what

11:28

I'll show you is an example of what I

11:32

tend to use day-to-day when I talk to

11:33

founders.

11:34

This is a call prep HTML file.

11:37

Obviously, it doesn't look perfect and

11:38

that doesn't matter cuz I'm not sending

11:40

it to anyone, it's just for me. But

11:42

basically, the goal of this is to really

11:44

understand who these people are that I'm

11:46

going to be talking to, what their

11:48

product does, which Croc Bot will

11:49

research on its own, and then walking

11:51

through their site. The reason the site

11:53

is really important is actually because

11:56

the site tells you a lot about what they

11:58

care about first and foremost, which is

12:00

why I like including some screenshots of

12:02

what they're building. But more

12:03

importantly, I am constantly finding

12:05

bugs on people's sites. And it is so

12:08

nice for me to just be able to go to

12:09

them and say, "Hey, fix this thing.

12:11

Look, your cookie banner is on top of

12:13

your submit button and that sucks for

12:14

everyone, so just go fix it." And for

12:16

them, it's really nice cuz they get some

12:18

feedback that's super actionable. And

12:19

so, my bot has gotten very good at

12:22

figuring out what will resonate with

12:23

folks. And so, I have it do this every

12:26

single time and without fail, it has

12:28

found some issue that comes up with some

12:30

site, which is a really cool way to open

12:31

a call. So, just one of those quality of

12:32

life things. As we keep scrolling,

12:35

you'll see these are placeholder

12:36

numbers, but you'll see that

12:38

you get a lot of the activity that's

12:40

really relevant to what you want to talk

12:42

to them about. So, we know in this case

12:44

that these folks already have some

12:45

seats, they already have done some

12:47

meetings, uh this product is like a

12:49

meeting tool, they have some sort of

12:52

arrangement, and because I can look at

12:54

this graph, I can see what their usage

12:56

looks like.

12:57

And so, I look at this every single time

12:59

when I talk to founders try and

13:00

understand are they really accelerating

13:02

and is there a specific feature that I

13:04

need to work with them on or are they

13:06

declining and there's some sort of

13:08

objection that I need to get into. With

13:10

you guys, you will all have your own

13:11

versions of this use case, but it is

13:14

so, so important to just spend 5 minutes

13:16

before the call figuring this stuff out.

13:18

Now, for the really cool part that I'm a

13:20

little conflicted on, uh

13:21

recommendations.

13:23

The bot has gotten very good at figuring

13:25

out what I need to talk to founders

13:28

about and your case what you will

13:29

probably need to talk to customers

13:30

about. And what that means is it will

13:32

give me a few key recommendations about

13:35

what I should do with that founder or

13:37

customer on that call.

13:39

And so the most important piece for you

13:42

guys is you have your customer

13:43

conversations is to come in armed with

13:44

some sort of knowledge. And this

13:46

automates getting some of that

13:47

knowledge. There are a few other pieces

13:49

here. It talks about some risks. And I

13:51

think the most important part is that

13:54

you come in prepped. You don't have to

13:55

spend the hour and a half of your time

13:57

doing this and it does it on a routine.

13:59

So every day it will look at my calendar

14:02

and look at the meetings that I have and

14:04

just prep them. And I can trust 5

14:05

minutes before I can go in and read that

14:07

stuff.

14:09

Okay. So, that's part one which is

14:12

prepping the call.

14:13

Part two is what happens after the call,

14:15

right? We want to go end to end. We

14:16

don't just want to stop there. And so

14:18

the same bot also does a little bit of

14:20

the compounding for me. And what that

14:22

means is after every call it will review

14:24

the granular transcript and figure out

14:26

what that person resonated with or

14:28

didn't. And you can do this with all of

14:30

your customer calls as well, right? And

14:31

arm your teams with it. You basically

14:34

have your bot look at every single

14:35

transcript and for example, if in this

14:38

case I was talking about some new

14:40

note-taking feature that they didn't

14:41

really care about and they expressed

14:43

that within the call, for the next one,

14:45

for the preparation document, this tool

14:47

will get better at making sure that I'm

14:49

not talking about that feature again

14:51

unless it's really relevant. And so over

14:54

time, if you give this two or three

14:55

weeks, it becomes really, really

14:57

powerful because not only do you not

15:00

have to go through other people's calls

15:01

and you can leverage theirs, but your

15:03

calls just get way better and you stop

15:05

tripping over yourself when you talk

15:06

about the same things.

15:08

Okay. That's part two.

15:10

Part three is support. Basically, we

15:13

have a lot of customers and a lot of

15:16

them need support. And right now there

15:19

are not enough people to support all of

15:21

those customers on their own, just

15:23

one-on-one. And so, you need to be able

15:24

to scale up your support. And a lot of

15:26

founders leave this to the very last

15:28

thing. Believe me, I've been there, uh

15:30

and it makes your life very, very tough

15:32

to handle both getting new customers

15:34

through the funnel and then also

15:35

supporting the pre-existing ones. And

15:37

so, you have a real opportunity to

15:38

automate this with Grockit, but the most

15:41

important part that makes this really

15:42

work well is that you spend the time

15:45

empowering your bot to actually support

15:48

your customers. And what that means is

15:49

you not only connect it to your data,

15:51

but you connect it to your billing, and

15:52

you connect it to the risky pieces that

15:54

you're scared to give because that is

15:56

where most of the support struggle

15:58

happens. And so, that in combination

16:01

with the compounding piece leads us to

16:04

this really cool fourth section, which

16:06

is activation. And so, a lot of you

16:09

probably know your wow moment at this

16:11

point. You know when your customer is

16:12

activated, you know when they're going

16:14

to stick around.

16:15

And so, how do you incentivize more of

16:16

that, right? How do you decrease time to

16:18

value? One of the easiest ways to do

16:20

that is to give people money so that

16:23

they get there. And it doesn't have to

16:24

be much, right? But just getting them

16:26

across that hump is what turns people

16:27

into great customers. And so, I have

16:30

hooked up this bot to actually do the

16:32

work, and when an activation event

16:35

happens, where in this case, again, I'm

16:37

using a note-taking app, if a template

16:39

is shared with your teammates, we have a

16:41

thousand dollars, which is a crazy

16:43

example, uh ready to send. And it will

16:45

automatically send that email with those

16:47

credits so that that user or that

16:50

customer can leverage those credits, and

16:52

they feel rewarded in that moment. And

16:53

so, instead of you having to monitor

16:56

every single customer's journey and do

16:57

this manually, or taking a tool and

17:00

building it from scratch, you can just

17:01

offload it to your bot and not think

17:04

about it again. And it will run the

17:05

campaign on its own.

17:07

Okay, there are a few other pieces that

17:09

are pretty obvious around the end-to-end

17:12

customer journey, right? You want them

17:13

to sign contracts, which you can get

17:15

Grockit to go back and forth with them

17:16

on. You want them to figure out your

17:19

pipeline and actually generate it with

17:20

outbound, which Rockbot is very good at.

17:23

And then you want it to actually make

17:25

sure that your calendar is filled, and

17:27

it can access your calendar and do that

17:28

every single time. So, these are all

17:30

things that happen autonomously, and I

17:32

no longer need to worry about 99% of

17:35

this journey. There are cases where I

17:37

want to step in with a customer, and I

17:38

want to understand, "Hey, why didn't

17:40

this call resonate?" I want to go

17:41

deeper. And for now, what that means is

17:43

I spend my time doing that, which is

17:45

actually very enjoyable. I actually

17:46

enjoy talking to customers, so that's

17:48

what I meant when I was saying like this

17:50

is a little emotionally complicated for

17:51

me, in that some of this is really fun

17:53

to do. And so, I have to intentionally

17:55

go in and steal some of this back from

17:57

my bots rather than letting them do all

17:59

of it. But, uh it is a very, very cool

18:02

time to be able to scale to thousands of

18:04

customers with just your bots instead of

18:07

you having to go do this yourself. In

18:08

that way, like I said, you can focus on

18:10

making good decisions consistently,

18:12

maintaining velocity, and maintaining

18:14

focus.

18:15

Okay, that was bot number one.

18:17

Let's go to bot number two.

18:19

This is Prodbot. Uh

18:21

I mentioned that example earlier, where

18:24

as you start to have more and more

18:26

engineers shipping more things and

18:27

unshipping more things, you're doing

18:29

yourself, you get confused around what's

18:31

live and isn't. So, Prodbot is basically

18:35

a bot that

18:37

does a lot of this work for you in terms

18:39

of staying across what's been shipped.

18:42

And so, I'm currently asking it to give

18:44

me a daily rundown of Flylo, which is

18:47

the demo

18:48

surface that we used earlier in the PM

18:50

conversation as well. And Flylo is a

18:52

tool for flights and airlines and

18:54

booking travel. And what I like to have

18:57

this bot do in my actual day-to-day is

19:00

not only go through all of the PRs and

19:04

the linear issues that come in, but also

19:07

walk through the product end-to-end

19:09

itself. Remember, your bots have their

19:10

own computer, so they can use whatever

19:13

surfaces you use. And in this case, that

19:15

means going through the site that the

19:18

bot is assigned to, figuring out what

19:20

has changed, and then mapping it to its

19:22

experience. So, if it has a login for

19:25

the specific site, it can do a lot of

19:27

this work for you. You can see some of

19:28

it popping up right now. What you'll

19:30

notice if I scroll through this is it's

19:32

giving me a rundown. So, it gives me

19:33

here's what's shipped. These are some

19:35

examples of things that have shipped

19:37

recently. It also gives me things that

19:39

were unshipped avoid that embarrassment

19:41

again. And most importantly, it will

19:45

give me some decisions and some key

19:47

things where, you know, now that we ship

19:49

quickly, we don't intentionally make all

19:51

of these micro decisions all the time.

19:53

And so, it tries to catch some of those

19:54

that we want to be a little more

19:55

intentional about.

19:57

And so, overall, what you end up with is

20:00

a bunch of screenshots of the site. So,

20:02

the bot is going through it. And then

20:04

also, you end up with a video of the bot

20:07

basically running through the site

20:08

itself. And so, that way you can see

20:10

what it does without having to do it

20:12

yourself. So, if you ever want to get in

20:13

deeper, you can always ask your bot to

20:15

take a video of the surface while it's

20:17

doing its work, which has become the

20:19

fastest way to verify if something is

20:22

done well or not.

20:24

The other piece is that you can connect

20:25

this to your data. So, you can actually

20:27

see what the results of different ships

20:30

are because you connect it to your

20:31

metrics. And that way, instead of you

20:33

having to view that dashboard all day,

20:35

you just see it here. And it is

20:37

proactively given to you, which I think

20:39

is one of the most important parts about

20:41

bots, that they will surface information

20:43

to you as relevant and as necessary. And

20:46

so, I think again, what's really

20:48

important is as long as you enable them

20:50

to have all of the right data, they can

20:51

help you make great decisions and also

20:54

help you stay across what your team is

20:55

shipping.

20:57

Okay.

20:58

Now, for my favorite bot, uh stock bot.

21:02

Right now,

21:03

everyone is probably distracted by their

21:06

competitors. And it is very easy to ship

21:08

things, but what's not easy is checking

21:10

what other people are shipping.

21:13

And so,

21:14

what StockBot does is it basically will

21:18

go find your competitors. It will sign

21:21

up for autonomously and go through their

21:23

product, and then it will give you a

21:25

full rundown of basically everything

21:29

they do. So, that includes what they've

21:30

shipped, their change log, what they're

21:33

posting on X, who they're hiring for,

21:35

which is actually a really good way to

21:37

get signal on what people are building,

21:39

and finally just who their team is and

21:41

what they're prioritizing. And over

21:43

time, this also compounds. As they learn

21:45

about more and more competitors, your

21:46

life becomes easier because you start to

21:48

get more signals into how to position

21:50

yourself in the market, and then also

21:51

how to counter position to what they're

21:53

shipping. And so, what I'll do right now

21:55

is kind of ask it to do a competitor

21:58

pulse right now. And basically,

22:02

I want it to

22:04

check on Notion and Craft. Those are the

22:07

two hypothetical competitors we have

22:09

with this note-taking app. And so, it

22:10

will go off and do all of this in

22:13

parallel. And it has been doing this for

22:15

a while. So, it is constantly running

22:18

pulses. You see some of its routines on

22:20

the side here. And what you'll notice is

22:23

that these routines run relatively

22:25

often, every few days, but what that

22:27

also means is I don't have to do this

22:29

myself. It will run the routine, come

22:31

back to me if there's something

22:32

relevant, and if not, it will stay

22:34

silent and do its thing. And so, this is

22:37

one of those

22:38

ambient bots that's really important to

22:40

just have around because it will get a

22:42

lot of this work done for you around

22:44

competitor analysis, and you don't

22:45

really need to think about it. And as

22:47

you get exposed to more and more of

22:48

these decisions that these companies are

22:50

making, you actually start to build the

22:52

muscle around why your decisions are

22:54

different, and you start to understand

22:56

truly what your positioning is relative

22:58

to theirs. So, you'll notice it's

23:00

cooking and

23:02

doing some of the the research work.

23:04

What we see here is let's start with

23:05

Craft, which is a note-taking app.

23:08

Basically, it has created a little

23:10

teardown in HTML if this thing loads. Um

23:14

if not, we can just look at it here. It

23:17

again just created a video where it's

23:19

going through and it will sign up, it'll

23:21

put in its information, it'll use a

23:24

throwaway email address, uh and then

23:26

basically go through the entire flow.

23:28

So, this is the onboarding flow. And

23:30

it's looking through, "Hey, what is

23:32

different about their onboarding versus

23:34

our onboarding?" Uh and it gets you to

23:36

the start page. It will also start to

23:38

actually like test it itself. So, it

23:40

will write in Craft, which is this again

23:43

this note-taking app, and tell me what

23:45

went well and what didn't, and then give

23:47

me a little overview of how it works. Uh

23:50

Craft is not hiring actively right now.

23:52

So, that's good for us to know. And

23:54

then, the final thing that I've done

23:56

with this one, which you know, might be

23:58

corporate corporate espionage, but you

24:00

know, do what you want with it and be

24:01

responsible, is basically I have it

24:05

email people that have churned off. A

24:07

lot of you have insights into where your

24:09

customers are churning. So, you know uh

24:11

from Salesforce or whatever your tool is

24:13

that X customer left to Y tool. And so,

24:16

you can actually go and have your bot

24:18

reach out to them and understand why

24:20

that is. You don't need to go win them

24:21

back in that moment, but just getting

24:23

that insight is really, really

24:24

important. And so, if you have that

24:26

signal, it's another good way to course

24:28

correct your positioning versus others.

24:31

You can see the same thing for Notion.

24:32

Notion has a bunch of hiring, and so

24:34

I've kind of asked it to truncate uh

24:37

because they're hiring a ton of people,

24:39

but it's still important insight to get.

24:41

And so, I'm showing you these these two

24:42

examples, and this is one where it's

24:44

signed into its own Notion account. It

24:46

authenticated via email and is basically

24:50

doing work in it and giving me what that

24:52

experience looks like. As it starts to

24:54

see the differences in what's shipped,

24:56

it will focus on those specific things.

25:00

Okay, enough about this bot, but

25:03

what I will say is I will share this bot

25:05

after this, and I will toss up a QR

25:07

code, so if you want to steal it, you

25:08

totally can.

25:10

All right, let's move on to bot number

25:12

four. So, bot number four is my proto

25:15

bot, and this bot is basically really

25:17

good for just thoughts that I have in my

25:20

head when I want to get them prototyped,

25:22

but also it's really good for when we

25:25

get customer feedback, and we want to

25:26

just explore what this would look like

25:28

to ship. And so, what proto bot does

25:30

really well is it actually has right now

25:33

its own version of Grokbot running on

25:36

its computer. And I think I've shared

25:37

this a few times before, but I've given

25:39

it its own account that is not it. It

25:41

has its own separate entity, and it runs

25:44

through a lot of different bots, test

25:45

them out, uh and helps me with some of

25:47

my prototyping and also QAing. But I

25:49

think most importantly, and the reason

25:51

this matters, is because it has access

25:53

to its own product, it can do a lot of

25:56

this prototyping with the context of

25:58

what the product looks like today. So,

25:59

if I say

26:01

pull the most recent

26:04

customer feedback,

26:06

it will find some demo feedback, pull it

26:08

in, and then it will probably just start

26:12

working on fixing it. And so, you as a

26:14

founder can probably envision yourself

26:16

and your product uh piping all of your

26:19

feedback channels. So, that means things

26:20

like X, your support inbox, or any other

26:25

signals that you see in your emails, and

26:27

putting them all into a single pipeline

26:29

that goes to a bot that just kicks off

26:31

PRs and solves them.

26:33

That's kind of how some of our engineers

26:34

work internally, which is very cool

26:36

because you'll see the full feedback

26:38

loop of feedback to ship to deploy

26:41

happen in hours, uh which is awesome,

26:44

and it happens automatically and

26:45

organically, which is very cool. So, I

26:48

think

26:49

you guys all know that adapting to

26:51

feedback is really important, especially

26:52

in the early stages. You still need to

26:54

make the choice about which feedback to

26:56

take versus not because

26:59

you're the visionary. Your job is

27:00

supposed to be to figure that out. And

27:03

in this case, the fact that you can move

27:05

this quickly means the main bottleneck

27:08

should be your decision-making. It

27:09

should be whether this

27:12

feedback should be shipped or not. And

27:14

so it will basically do the work.

27:16

Right now it's saying that the customer

27:18

thinks that the share button for bot

27:20

templates isn't exciting enough and they

27:22

want it to pop. Um

27:24

so it'll probably end up working on that

27:25

for a little bit, which is very fun. Uh

27:28

in the meantime, though, what I will

27:29

show off is two final bots. One is my

27:32

Yap Bot. So this bot has one purpose and

27:35

one purpose only. It is

27:38

built and exists to talk like me. So it

27:40

looks through my email, Slack, iMessage,

27:44

any other form of communication that

27:45

I've done, and it learns from how I

27:48

talk.

27:49

And it doesn't just learn once. I think

27:51

this comes back to the compounding

27:52

piece. It learns over time. So every

27:55

week or so, or you can set it to

27:56

whatever schedule you want, it will take

27:58

everything I've sent for the day because

28:00

it has access to all those tools, and

28:02

essentially learn from them and get

28:03

better over time. So now I can trust

28:05

this bot to go and talk as me. And what

28:08

you'll notice is these other bots are

28:10

actually coming in and asking it for

28:12

help. So they are proactively bringing

28:15

in Yap Bot to go talk like me

28:18

across all of the different services,

28:20

and I don't need to do this myself.

28:22

After they do this a few times or I

28:23

encourage them, like I said, they learn

28:25

to loop in the other bots as needed. And

28:28

this bot might seem like a small one

28:29

because it's very simple, but it's so

28:31

important, especially if you're trying

28:32

to do any sort of outbound or move

28:34

quickly on communications. It's nice to

28:37

have a bot you can just trust to do this

28:38

stuff.

28:39

Obviously, you have some emails that are

28:41

really sensitive, so you might ask it to

28:42

just keep them as drafts rather than

28:44

just sending them right away. But even

28:46

then, it will learn from the delta

28:48

between the draft it created and what

28:50

was actually sent and get better and

28:52

better over time. With the end vision

28:53

being that you don't need to think about

28:54

it at all.

28:56

Okay.

28:57

Final tip, I have a miscellaneous bot,

28:59

and this bot has one job, which is

29:01

basically to be kind of a trash can for

29:03

all of the random requests I have.

29:05

Today, I wanted to see if Drake's album

29:07

dropped. It has not yet, sadly. But,

29:10

what's really cool about this one is I

29:11

can just ask it random things without

29:13

polluting the context of the other bots.

29:15

And if it ever has any important task to

29:17

do where it needs to transfer that

29:18

context, I can just ask and say, "Hey,

29:21

you learned about XYZ. Go tell ProdBot

29:24

about what you've learned so that it can

29:25

get better in the future."

29:27

Sadly, Drake's album isn't out. I

29:29

checked Instagram, but

29:30

who knows. We'll get there maybe later

29:32

tonight.

29:33

Okay. Those were all my bots. I think

29:35

ProtoBot is still still going. Uh it's

29:38

kicking off a cloud agent, and hopefully

29:40

it finishes sometime soon. But, you'll

29:42

notice because it has access to GrokBot,

29:44

it can actually just

29:46

take a look at the interface without

29:48

needing to go find it anywhere. And it

29:50

can drive it and QA it. And as these

29:52

tests happen, it's very easily

29:54

verifiable whether it's shipped the

29:56

right thing or not. And so, I think all

29:58

of these bots are very powerful, and

30:01

most importantly, they're all powerful

30:02

in conjunction. So, when CloseBot gets

30:05

some feedback, it can pass it to

30:07

ProtoBot. Or, when ProdBot is trying to

30:09

get across some of the key product

30:11

decisions that we've made, it can pass

30:13

that context off to CloseBot so that it

30:15

can sell the right stuff.

30:17

And overall, I think the key framework

30:19

that you folks need to keep in mind is

30:21

you want to start to try and productize

30:23

yourself as much as possible and give

30:25

away

30:26

all of your Legos, no matter how

30:27

delightful they are, so that you can

30:29

focus on the highest leverage thing,

30:31

because that is what helps you win in a

30:32

world where everyone is shipping

30:34

just as fast, if not faster, for now.

30:37

So, keep all that in mind, uh but those

30:39

are my bots. Let's go back to

30:41

presentation.

30:42

Okay.

30:44

Some final pieces.

30:45

What we learned.

30:46

Let your bots run free. I am going to

30:48

say this forever. Give them access to as

30:50

much as you are possibly comfortable

30:52

with because that is the only way they

30:54

will be able to do work end-to-end.

30:56

You want to invest in them. So,

30:58

you might find times where you need to

31:00

course correct a bot. And with an agent,

31:02

you might have the instinct of, "Man, I

31:04

spent too many tokens on course

31:06

correcting it. The context is polluted.

31:07

Let me just get rid of it and start a

31:09

new one." In this case, your key

31:10

advantage is that your bots get really

31:12

good as you spend more time with them.

31:14

And

31:15

obviously, as the team has learned

31:17

internally, the more time you spend, the

31:19

better you do. And so, it's really

31:20

important to really believe in your bots

31:22

the same way you would with employees.

31:24

And the other piece to keep in mind here

31:26

is the other way to invest in them is by

31:28

giving them really good skills and

31:29

tools. So, it's very easy to say, "Hey,

31:32

make this cooler." And that could be

31:34

your your prompt that you want your bot

31:36

to execute on. But obviously, it's not

31:38

going to do a great job and it's going

31:39

to probably get stuck somewhere and ask

31:41

you a few questions. The more

31:43

intentionality you put behind that task

31:45

in the first place lets you repeat it

31:47

over and over again without that many

31:48

hitches.

31:49

And then finally, it is worth you taking

31:52

1 to 2 hours and just thinking about

31:54

your day.

31:56

I know that sounds dumb. I know you're

31:57

like, "I need to move quickly." But it

31:59

is so, so important to just take the

32:00

time. I don't care when. Just do it and

32:02

figure out what you want to delegate.

32:06

Because doing that intentionally will

32:08

save you so many hours versus just

32:10

spinning up bots and hoping they do

32:11

things for you without having a true

32:13

intent around what they should do.

32:16

Okay.

32:17

Now, I have a bonus round with some tips

32:19

and tricks. I was watching the live

32:21

stream earlier and some people were

32:22

like, "This is expensive."

32:24

Which is, you know, true in some ways,

32:26

not true in others, and we're working on

32:27

it. Uh

32:28

but there are some really easy,

32:30

high-leverage tips that can make your

32:31

life a lot easier.

32:33

The first is that browser use is super

32:35

powerful and it unblocks your bot from

32:38

doing

32:39

a lot of things that it couldn't do if

32:41

it didn't have MCPs or APIs or some

32:43

other connection, but it's also

32:44

expensive to run multiple times. And

32:48

the easiest way to solve for this is to

32:51

bias towards using APIs and using

32:53

interfaces that people have already

32:55

built or to actually kind of hack it a

32:58

little bit. You can ask your bot to look

33:00

at network requests while it does a task

33:03

once and then figure out which APIs are

33:05

being hit while it's doing that task

33:08

and then go and start to just hit those

33:10

directly, which

33:12

takes way less time, first of all, and

33:14

is also way more token efficient because

33:15

you are no longer needing to go through

33:17

the browser interface and you can just

33:19

do it all directly. So, ask your bot,

33:21

and this is true for all optimizations,

33:23

by the way, that you guys have probably

33:24

been thinking of or taking notes on,

33:26

always just ask your bot how to do it

33:28

because it will figure it out for you,

33:30

which is very nice. But

33:32

be wary of browser use more than once,

33:34

uh and if you can get around it and

33:35

scale quickly, you absolutely should.

33:38

Second piece, routines.

33:40

Uh when I was looking through some of

33:41

the data around the frequency of

33:44

routines that people set, I was a little

33:45

shocked uh and it freaks me out how

33:48

often you guys are running things. But I

33:50

think the most important part about

33:52

routines is to audit them. And you don't

33:53

have to do this yourself. Again, get a

33:55

bot to do it for you, but the most

33:57

important piece is

33:59

be very intentional about how often your

34:01

routines are running. They're really

34:02

powerful, but most people over-index on

34:05

how often they need to be running and

34:07

they think, "This routine is so

34:08

important, I need to run it every 15

34:09

minutes," which comes out to 100 times a

34:11

day. So, that is a very expensive

34:13

routine.

34:14

See if you can be a little more nifty

34:16

with them. So, it's not just running

34:18

them fewer times. If you really need a

34:19

routine, try and run them on webhooks or

34:21

try and run them with some sort of

34:23

inbound signal that will let your bots

34:26

actually take in an input and then run

34:28

it rather than just having it blindly

34:29

run on a schedule. So, those two things

34:31

alone will probably save you a bunch in

34:33

tokens. I know there was some demand for

34:35

that. Okay, even more final tips before

34:37

they cane me off stage.

34:39

Uh

34:40

make a voice bot. Obviously, I love

34:42

mine. Uh

34:43

please do this for yourself. It is the

34:45

most underrated way to get words out to

34:48

other people. It's have a bot that

34:50

copies your voice.

34:51

Uh import your cookies. This lets you

34:53

stay signed in across a lot of different

34:54

tools and it also stops you from having

34:58

to constantly take over the bot's

35:00

computer and help out. Uh group bots by

35:02

expertise. This is kind of a personal

35:04

preference thing, but I love having my

35:06

bots grouped by what they do. And so, if

35:09

a bot is really good at just handling a

35:10

customer, I will give it everything

35:12

customer related. And if a bot is really

35:14

good at data analysis, that will be its

35:18

sole job. Because sometimes there weird

35:20

compounding pieces that happen that we

35:22

don't even know about. And so, when

35:23

you're giving it two what feel like

35:25

completely different tasks, you can

35:27

still get some of the compounding

35:29

benefits as long as they all fall under

35:30

the same expertise. There a few more on

35:33

here like great skills which we talked

35:34

about, how bots can learn from you, and

35:36

then auto optimization routines, but I

35:39

think the last one is also pretty

35:40

important. Having a bot that just exists

35:43

to optimize your other bots. That means

35:45

better routines, figuring out where they

35:47

went wrong or where you had to ask

35:48

multiple times for something, and then

35:50

making sure that doesn't happen again,

35:52

and overseeing how the other ones work

35:54

and improving them is way easier than

35:56

having to do a lot of this yourself. So,

35:58

save yourself the time. You set it once

36:00

and then you forget it, which is really

36:01

nice and I don't see enough people doing

36:03

that.

36:05

Okay. So, that is close to the end of

36:10

what we've been doing here. Thank you

36:12

for your time and attention. I am going

36:14

to leave a QR code for stock bot. If you

36:17

guys want to steal it, it's a fun one.

36:18

You should try and use it on us. I think

36:20

that would be cool. I want to see what

36:21

people come up with.

36:22

But, I really appreciate everyone being

36:25

around. I think one of the the coolest

36:28

parts about these bots and where they're

36:30

headed is just how creative you can be.

36:33

The uh sorry, the amount of

36:37

different bots and different

36:39

combinations of bots that I've seen has

36:40

really blown me away. And I think

36:42

founders are the perfect group to figure

36:44

out the edges of this entire thing. I

36:47

don't think we've hit the limits yet.

36:48

And as we get closer and closer to

36:50

figuring out what these bots can

36:52

actually do and what they can't, uh

36:53

we're going to be looking for signal

36:55

from you guys. So, really appreciate it.

36:57

If you are on the live stream, we're

37:00

going to send you back to Matt, Lauren,

37:02

and Roshan to go and continue cooking.

37:05

So, appreciate it. Thanks.

37:13

Okay.

Interactive Summary

This presentation explores the power of using Grokbot to automate various founder-specific tasks, enabling faster execution and better scaling. The speaker demonstrates how to build and maintain a 'squad' of specialized bots—such as CloseBot, ProdBot, and StockBot—that can handle customer support, product research, competitor analysis, and daily operations end-to-end. By leveraging compounding intelligence, these bots learn from user interactions and get better over time, acting as autonomous teammates that allow founders to focus on high-leverage decision-making.

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