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You Don’t Need OpenClaw Anymore (Use This)

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You Don’t Need OpenClaw Anymore (Use This)

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383 segments

0:00

Lindy just dropped an OpenClaw

0:01

alternative. And honestly, most people

0:04

probably don't need OpenClaw anymore. I

0:06

spent 6 hours setting OpenClaw. Lindy

0:08

took me under 2 minutes. No terminal, no

0:11

VPS, and it's completely safe to use.

0:13

You can literally text with it over

0:14

iMessage and have it do things for you.

0:17

So, in this video, I'm going to break

0:18

down the key differences, how to set it

0:20

up, and use cases that I've been using

0:22

myself over the last few days. If you

0:24

haven't set up OpenClaw or you want a

0:26

safe alternative, this is it. So without

0:28

further ado, let's dive in. All right,

0:30

so before I dive in and actually show

0:31

you how to use the Lindy agent, I'm

0:33

going to show you the key differing

0:34

factors between Lindy AI and OpenClaw.

0:37

First of all, Lindy AI takes about 60

0:40

seconds to set up and you do not need a

0:42

terminal. Whereas OpenClaw, I've seen

0:44

people take up to 1 to even 5 hours to

0:47

set it up. You have to install NodeJS,

0:49

use API keys, terminal required, all

0:51

these things that are pretty difficult

0:53

for a non-technical person to do. For

0:54

Lindy AI, you could type in plain

0:56

English and the agent builder is going

0:58

to create it for you. And going back to

1:00

OpenClaw, you have to use terminal

1:01

commands, config files, debug errors,

1:04

and port conflicts. It's just an

1:05

absolute pain if you don't know what it

1:07

is that you're doing right off of the

1:08

bat. And right here, OpenClaw has 50

1:11

plus integrations, full system access,

1:13

plus browser control, which is cool. But

1:15

inside of Lindy AI, we have 5,000 plus

1:17

integrations built in, which include

1:19

things like Gmail, Slack, Calendar,

1:21

whatever CRM you use, etc. And then

1:23

moving over to security, inside of

1:25

Lindy, we have enterprisegrade security

1:27

because it's a very well-known and

1:28

popular platform across the entire

1:30

automation space. Whereas inside of

1:33

Clawbot, there are tons of different

1:35

security issues that you will probably

1:37

run into. Moving on to our bottom line,

1:39

both of these are AI agents. Lindy, it

1:41

will take you 60 seconds in no code,

1:44

whereas OpenClaw, it's going to take

1:45

hours of setup, and it's really only for

1:48

developers unless you really want to

1:49

sacrifice it and, you know, have

1:51

security issues. I do want to say that

1:53

there are a couple places where OpenClot

1:55

will actually win, but I think the

1:56

majority of people do not need to use

1:58

Open Claw and go through the hassle. Of

2:00

course, you have 100% local privacy, so

2:02

your data never leaves your machine and

2:04

Lindy actually stores this on their

2:05

cloud server, so you could trust Lindy

2:07

with this information. However, if you

2:09

do want to have all this on your local

2:11

computer, that is something that

2:12

OpenClaw provides. And then inside of

2:14

OpenClaw, it is truly free if you decide

2:16

to use local models. So, you can run O

2:18

Lama locally, which is $0 per month

2:21

forever. And inside of Lindy, you will

2:23

have to pay for their platform. But

2:24

again, if you are non-technical and you

2:26

want to begin using something like this,

2:28

this is a great alternative for you to

2:29

begin doing so without the security

2:31

risk. So here is why I personally am

2:34

using Lindy as we speak. So I wanted

2:36

agents now, not next weekend. I didn't

2:38

want to run into errors when setting up

2:39

my Clawbot. Security is handled for me,

2:42

which is a really big one. I don't need

2:43

to worry about leaked API keys or

2:45

information like that. And I don't need

2:47

a separate computer running 24/7 since

2:50

Lindy does run in the cloud. I don't

2:52

need to go out and buy a Mac Mini to run

2:54

Open Claw on because I don't want it to

2:56

have access to my personal computer. So

2:58

this is not an issue if you're using

2:59

Lindy. So now that we understand the key

3:01

differences here, let's now dive into

3:03

how you could begin using the Lindy AI

3:05

agent and why I think it's genuinely a

3:07

gamecher. All right, so moving on to

3:09

Lindy and how we could actually begin

3:11

using it right now. Here is a landing

3:13

page. If you want to sign up, there's a

3:14

link in the description to do so. So you

3:16

could see right here, text your AI

3:17

assistant, get answers, get things done.

3:19

And as we see right here on the landing

3:21

page, you could text this over SMS on

3:24

iMessage. So for example, how I've been

3:26

using this is I literally just text it

3:27

as if I'm texting a friend. And it can

3:29

go ahead and schedule things for me. It

3:31

could read through all of my emails. It

3:32

gives me a breakdown every single

3:34

morning of every email that I miss and

3:36

even comes up with drafted replies for

3:38

me. In order for us to begin using this

3:40

right now, we just need to sign into an

3:41

account. Let me head over to my account

3:43

now. And once you're inside of your

3:44

account, you're going to click on home.

3:46

And right here is where we can set it

3:48

up. And guys, too bad this tutorial is

3:50

not a long one, me explaining exactly

3:52

how to set it up. But it's very, very

3:55

simple, and I cannot stress that enough.

3:57

So, all you have to do is click on this,

3:59

connect your Google account, which I

4:00

already did. Extremely easy to do. And

4:02

then just share your phone number with

4:04

the assistant. Let me go ahead and do

4:05

that right now. I don't want you guys to

4:06

see my phone number to blow it up, but

4:08

I'm going to add in my phone number. And

4:09

then I can begin texting with my agent.

4:11

All right. So, just like that. That

4:12

literally took me 10 seconds to set up

4:14

and I could begin chatting with it right

4:16

here. But then I'm going to show you how

4:18

you could chat with it over text message

4:20

shortly. Let me just say hey there. So

4:22

now we have our agent set up here. I

4:24

want to test out the functionalities and

4:26

I'm comparing this to open claw. So I'm

4:28

just trying to get a sense of like what

4:30

is it that you can help me do? All

4:31

right. So it's breaking down all this

4:33

stuff here. So it could help me with

4:34

scheduling. It could help me with

4:35

emails, meetings, research. So, it could

4:37

actually do web search, competitor

4:39

analysis, find contact information, and

4:41

computer use. This is a really big one

4:43

here that I'm going to show you later in

4:44

this video. It could browse the web. It

4:46

could actually complete online tasks

4:48

like ordering Uber Eatats or grocery

4:49

shopping, cancelling subscriptions,

4:51

filling out forms, etc. So, this is

4:53

insane if you really think about it. It

4:55

could generate images as well as it

4:57

could also understand our voice notes.

4:59

So, I'm going to show you later how I

5:00

could just simply drop in a voice note

5:02

on SMS and it will be able to understand

5:04

everything. So, I've been using this

5:06

every day to break down all of the

5:07

things that I did in that day and all

5:09

the stuff that's stressing me out for me

5:10

to do tomorrow. And it's been saving so

5:12

much time. So, now that we have this

5:14

here, we could interface with this

5:15

directly inside of Lindy if we want. But

5:17

where this gets really interesting and

5:19

the most incredible part about this all

5:20

is I could text my AI agent via my

5:23

phone. So, I'm going to show you that

5:25

right now. All right. So, in order to

5:26

test this out now, I pulled up my text

5:29

chat on SMS here on iMessage. So, what I

5:32

could do now is I could actually type

5:34

with it. So say I'm going to say, "Hey,

5:35

what is up Lindy?" And then you could

5:37

also see on the left hand side we have

5:40

this instance of Lindy running. So we

5:42

could again interface with this on Lindy

5:44

if we want or we could actually text

5:46

with it via SMS. But the reason that I

5:47

have this up on the lefth hand side is

5:49

because we can see exactly what it is

5:51

doing on the back end. So for example,

5:53

if I tell it to use browser use and go

5:55

fill out forms for me online, I could

5:57

see that in real time to see what it is

5:59

that it is doing. All right. So what I'm

6:01

going to do is I'm just going to text

6:02

right here and say, "This is amazing.

6:03

can you check the last few emails for

6:05

me? So, I'm going to send this off now.

6:07

And what it's doing on the lefth hand

6:09

side here on the Lindy screen, you can

6:10

see that it's searching through all of

6:12

my emails because this already has

6:14

access to my emails inside of Lindy

6:16

because Lindy connects to 5,000 plus

6:18

integrations and apps. And that is why

6:20

this is phenomenal to use if you're

6:21

using things like Notion, Gmail, Google

6:23

Sheets, and literally any of the apps

6:25

that you're using because odds are Lindy

6:27

will connect with it. All right, so this

6:28

is actually pretty cool. You can see

6:29

that I broke down my last five emails.

6:31

And then what I'm going to say is just I

6:33

want you to go and respond to the email

6:36

to Sendripe and give them a follow-up

6:38

using the style of my normal email

6:41

responses. So it actually has the

6:42

ability to see my previous emails that

6:44

I've sent to replicate my style and kind

6:47

of the language that I use in order to

6:48

respond to all of my emails. Let's say I

6:50

want to reply to like one of my

6:51

co-workers, for example. Odds are

6:53

somebody probably can't even tell the

6:54

difference between whether it's me or if

6:56

it's me texting my Lindy agent to go off

6:58

and respond for me. All right. And just

7:00

like that, it literally responded to my

7:01

email for me. You could see that it

7:03

pulled up the thread here and actually

7:04

sent this email. So, let me pull up this

7:06

exact email to show you what it sent.

7:08

So, here is the email reply. Thanks for

7:10

the follow-up. I appreciate the redesign

7:12

details, but I'm pretty locked in with

7:13

my current workflow right now. Not the

7:15

right time to make a switch, but I'll

7:16

definitely keep send that changes down

7:19

the road. Best of luck with the product.

7:20

And this is very candid. This is exactly

7:22

how I reply to my emails. So, that is a

7:24

great use case, being able to respond to

7:26

your different emails just by telling

7:28

Lindy to do so. Something else I want to

7:30

mention that makes using this Lindy

7:31

agent in my email super seamless and

7:33

super easy to use is you might be able

7:35

to see these labels here. And I did not

7:38

add these labels. Lindy automatically

7:40

adds labels to these based on the email

7:42

that I get. So, for example, this right

7:44

here, it says to respond. So, this is

7:46

something that I need I need to respond

7:47

to. FYI right here, this is essentially

7:49

just kind of like, you know, an

7:50

interesting fact. This one right here,

7:52

it says FYI. It's just basically

7:54

interesting facts. Probably doesn't

7:56

pertain to me. So that's why I added the

7:57

FYI label. You can see that this one was

8:00

labeled as newsletter because this is

8:01

the AI rundown. So this has been amazing

8:04

at automatically like filtering out all

8:06

these emails for me. It makes it so much

8:08

more simple when I do need to go into my

8:10

email inbox. Like for example, right

8:11

here is an invoice for Amplify that I

8:14

actually paid for. So then I'm able to

8:15

track all of my payments using this

8:17

because it auto labels these. All right.

8:19

So, I just came up with a pretty cool

8:20

use case for my Lindy agent. I just did

8:22

a whiteboard session on my whiteboard

8:24

right here. You can see I broke down all

8:25

the tasks that I need to do. I broke

8:27

down my agency work. I wrote down

8:28

invoices that need to be collected,

8:30

different tasks I need to do across my

8:32

business for content creation. And so,

8:33

what I'm going to do is I'm now going to

8:35

actually drop this into Lindy here. So,

8:37

I'm going to pull up photos and I'm just

8:39

essentially going to drop this in. And

8:41

I'm not just going to drop this in. What

8:43

I'm going to do is I'm going to give it

8:44

a voice message and basically break down

8:46

my thoughts and all this stuff. give it

8:48

a brain dump and then I'm going to have

8:49

it go ahead and categorize all of this

8:51

and even perform tasks for me on my

8:53

behalf. So, this is really a look into

8:55

the power of what our Lindy agent can do

8:57

directly inside of iMessage. So, what

8:59

I'm going to do is I'm going to send

9:00

this over and then I'm going to click on

9:01

this voice message button here. Hey,

9:02

Lindy. So, I just did a whiteboarding

9:04

session and these are all the tasks that

9:06

I'm working on right now. It's just

9:07

basically a brain dump. So, what I want

9:09

you to do is I want you to categorize

9:10

all of this stuff and all the tasks. So,

9:12

I want it broken down, you know, based

9:14

on each category. I also want you to

9:16

break down like my content creation

9:18

business aside from my agency work that

9:20

needs done to keep that separate. And

9:22

then what I want you to do is I want you

9:23

to then perform some of these tasks for

9:25

me that you're able to actually

9:26

performed. And then I also want you to

9:28

brain dump this into notion. And I want

9:31

it to be formatted perfectly. So that

9:32

way I have an idea of all the tasks I

9:34

need to perform today. I'm going to use

9:35

that as my to-do list. All right. So I

9:37

gave it that long voice message there.

9:39

I'm going to send it over. All right. So

9:40

here we go. It actually took the voice

9:42

message that I had and broke down all

9:44

this stuff here. It gave me this text.

9:46

All right, here's what I've done.

9:47

Analyzed your whiteboard and extracted

9:49

all tasks. Organized everything in your

9:51

notion page with check checkboxes. Found

9:53

the love art brief email from Victoria

9:55

Tang January 24th because that is one of

9:57

the things I asked for and it actually

9:59

created this notion page for me. So, let

10:01

me pull this up now. All right. So, now

10:03

I have an entire notion page since it

10:05

has access to my notion with all this

10:07

stuff. So, I need to film the Lindy

10:08

video, create the Lindy thumbnail, film

10:10

the ROR Claude Opus 4.6 app building

10:13

video and the ROR thumbnail. I need to

10:15

work on client work and admin. It says

10:17

that I need to send Sally the invoice,

10:19

$5,000 for design work. I need to check

10:21

the love art brief and send it in Slack.

10:22

All of this stuff. And it even broke

10:24

down the agency work and kept that

10:26

separate from my content creation

10:28

workflow. And it also broke down

10:30

everything and every task that it

10:32

completed. Let me go ahead and come back

10:33

to my agent. Now, this all looks great.

10:36

As for the Brian meeting, I want you to

10:39

just generate this meeting and I'll

10:41

actually add him to it later. However, I

10:43

want you to do research on the company

10:45

has data and then break that down for me

10:47

and text me the information you find. As

10:49

for the invoice for Sally, can you go

10:51

ahead and actually generate the invoice

10:53

for me and send it here and then I'll go

10:55

ahead and send it to her myself. So, I'm

10:57

going to give the tasks here to Lindy

11:00

and I'm going to come back once it

11:01

actually finishes these. All right. So,

11:03

here we go. We actually now have our

11:04

meeting scheduled. It used my Google

11:06

calendar since it has access to it via

11:08

Lindy and all the integrations that it

11:10

has. It even generated this invoice here

11:12

for Sally with for $5,000 for design

11:15

work. And then it even updated our

11:17

Notion database with all the other stuff

11:19

that it completed. All right, guys.

11:21

There we have it. That is the new Lindy

11:22

AI assistant that might replace your

11:24

need for using something like OpenClaw.

11:26

This is a much safer and easier

11:28

alternative if you don't want to set up

11:30

OpenClaw yourself or need to buy a Mac

11:32

Mini or set up a VPS to run it. If you

11:34

guys got some value, make sure to

11:35

subscribe to this channel for more

11:36

content like this. I cover all things AI

11:38

for non techies, making it seamless for

11:40

anybody to learn how to use AI. With

11:42

that being said, guys, thank you so much

11:43

for staying to the end. Comment what you

11:45

thought of this and I will see you guys

11:47

in the next

Interactive Summary

Lindy AI is presented as a user-friendly and secure alternative to OpenClaw, particularly for non-technical individuals. It boasts a rapid setup time of approximately 60 seconds without needing a terminal or VPS, a stark contrast to OpenClaw's potentially hours-long, technically demanding installation process. Lindy AI offers extensive integrations with over 5,000 apps like Gmail and Slack, along with enterprise-grade security due to its cloud-based operation. Users can interact with Lindy AI via iMessage or SMS to automate a wide range of tasks, including scheduling, comprehensive email management (summarizing, drafting replies, and auto-labeling based on user style), web searches, online task completion (e.g., ordering food, managing subscriptions), image generation, and processing voice notes. It can effectively organize unstructured input, such as categorizing tasks from a whiteboard brain dump and seamlessly integrating with platforms like Notion. While OpenClaw provides local privacy and a free local model option, Lindy AI prioritizes ease of use, security, and powerful cloud-based automation, eliminating the need for dedicated local hardware.

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