So, in today's video, we are talking

about 35 different ways that you can use

NAND in your daily life. Now, we're

going to be spending about a minute

every single use case. I'll be showing

you examples as well. And if you like

anything, I'm going to link down below

in the description to videos showing you

how you can build every single one of

these out with free blueprints so that

you can get it up and running in a

matter of just a couple minutes. Now, in

this video, we're going to be covering a

broad range of things. We're going to

start with general productivity. Then

we're going to move into sales, after

which we'll transition into career and

freelancing, and then social media, then

marketing AI SAS recruitment

customer service, and miscellaneous.

With that being said, let's dive into

this right now. The first one that could

save you probably 15 to 30 minutes every

single day is automating your entire

Gmail. So imagine for example all of

your emails were conveniently

categorized into the correct folder and

of course you could draft replies,

delete messages, all of that kind of

stuff. So how this works is that when

you receive an email coming in from

Gmail where you can use AI over here to

categorize it into one of the following

categories like promotions or social or

personal sales, recruitment and so on

and so forth. Now, on top of keeping

things nice and organized, as you can

see by all these tags right here, we can

also act upon those messages as well.

So, here's a couple things that I really

like to do. If I'm getting promotional

emails from e-commerce companies that

somehow collected my email like 7 years

ago, I'm just going to delete those

messages or whatever, right? You can

also automatically create drafts if you

wanted to, or you could even send emails

back automatically. Now, when I get

accounting emails, specifically those

that contain invoices, I'll actually

strip the invoice off and then I'll

forward that over to my accountant who

can then go ahead and upload that into

QuickBooks. And so, those are just a

couple examples of how you could

automate your entire Gmail. Now, this

saves me probably I want to say at least

15, but probably more like 30 minutes

every single day. Now, the next

automation that I want to talk about

here is automatically organizing your

Google Drive. Now, this looks really

scary, but it's actually very simple.

How this works is that anytime you

upload a document into your Google

Drive, okay, it's going to automatically

categorize that into whichever folders

you have here. So, if you're like me and

you created a Google Drive account like

20 years ago, it's kind of scary going

through this and just seeing all of the

different files that you never even knew

existed and somehow ended up in your

Google Drive account. But with an

automation like this, you can

automatically just um organize them into

the correct folder. So maybe like

accounting and recruitment and school

for my community or YouTube or whatever

the case may be. Essentially how this

works is a file will come in and then

it'll go down one of many paths. It'll

just define what it is. This could be

like a PDF or Google Slides or Google

Sheets or whatever. We could deal with

audio files or video files or so on and

so forth. And so we're just essentially

all these paths are the same. We're just

defining what it is and then we are

going to analyze that file. So we could

analyze an audio message. We could

analyze a video. We could analyze a PDF

document. We're just extracting what's

actually going on. And then we go ahead

and we move it into the correct folder.

We can even rename these files as well

so that it comes out to be um in the

correct place with the correct name so

that we can easily locate it. Now, the

next thing that I want to talk about is

how we can use something like Google

Sheets to create custom web

applications. This sounds pretty crazy,

but hear me out here. And this is

probably the one I use more often than

anything else inside NADN where we can

dump data from within NADN into our

Google sheet here. So for example, let's

say we have leads coming through. Okay?

Maybe we have a website people inquire

on our site. They fill out a form down

here. Okay? And when they do, maybe that

form is submitted and we dump that into

a Google sheet just like this. Okay? So

that's one part is we can store all of

our data automatically inside NAD. So

instead of you having to manually type

in every person's name and email and

phone number, which is obviously really

tedious, this can be automated. But the

coolest part about this is actually this

second workflow here where anytime you

change anything for whatever reason on

this particular Google sheet here, we

can do some sort of action. So if I

wanted to, for example, check off the

box to send an invoice to this contact,

we could automatically start this

workflow. We could go down one path like

maybe we email them or maybe we send off

an invoice or maybe we take another

action. We can have as many options as

we want and we could literally

automatically send an invoice to that

person in just one click of a button. So

automatically by just clicking this

button right there, we could start this

workflow that goes down a certain path

which then goes ahead and generates a

full-blown invoice or contract or

whatever and sends that over to a

person. So that's how you can turn

Google Sheets into a full-blown web

application. again, use it all the time.

The next thing is automatically styling

and generating Google Docs. Now, this is

an absolute game changer if you're using

Google Docs all the time, but

essentially in a workflow like this, we

could automatically go ahead and

generate full-blown Google documents

that are completely styled with headers,

underline text. We have different colors

here. We can add in images. We can also

have bold text, um, line breaks. Let's

see what else we can add in like

background colors and change the color

of the text over here. We can have

full-blown tables that are styled. All

of this kind of stuff can be

automatically generated using NADN and a

simple workflow like this. The real

magic is this AI node right here, which

is essentially just going about styling

the whole thing. So, you can come in

here, you can add your whole styling

rubric, and then it will just follow

your guidelines every single time and

create polished documents that represent

or reflect your brand. Now, on to the

next automation here. We're talking

about web scraping. Now, web scraping is

one of those things which could

literally take hours to do manually that

only takes like a couple seconds or a

couple minutes doing automatically. And

so, let's say, for example, you needed

to abstract some information. Maybe it's

off Google Maps or it's off one of the

other thousands of websites that you

could do this on. If you had to come in

here manually, okay, you'd have to go in

every single listing here. You'd have to

pull out all the information. You'll

notice that these don't have emails on

it. So you might have to go to the

website, open that up, get the email,

and then do this a thousand times, and

that could easily take 8 hours. Now,

inversely, a workflow like this can

automate that process in like literally,

I kid you not, 2 minutes. Like, this is

so incredibly fast. And also, we're

automating boring stuff that you

probably hate doing anyways. So, we're

using a platform called Appify. And what

Appify does is it web scrapes from over

7,000 different websites. Some of these

you're pretty familiar with. Tik Tok,

Google Maps, Instagram, Facebook,

Amazon, literally all the major

websites. And what we're doing here is

we're just dumping that into our Google

spreadsheet right here. So, in this

instance, what we could do is find

highquality social media uh ideas,

right? So instead of you combing through

social media every single day, you could

have a web scraper like this that

literally runs at some cadence, scrapes

data, and then dumps it straight into

the Google sheet here. Maybe even rates

it so that you only have the top 1% of

ideas coming in here so that you

absolutely fall in love with ideas that

you're presented with on a daily basis

when you wake up. Cool. Now, moving on.

The next two are going to be how we can

connect something like NAD into Chat GBT

or into Claude. And so with this next

workflow, what's going on here is we can

create a custom GPT. Now, keep in mind,

you do need a paid plan on ChatGpt in

order to do this. But what we can do is

we can automatically sync up our

messages so that as soon as we send

something from Chat GBT, it's actually

received inside NAD and then we can hook

it up to whatever we want it to be

hooked up to. So there's access to over

500 different applications that we can

connect to into and thousands more via

the HTTP request right over here. So two

examples could be that once we upload a

invoice just like this, we could

literally strip out all of these line

items and we can send that straight into

a Google spreadsheet just like this. We

could also hook it up to an AI agent and

then we can give it an access to our

calendar so it can start booking events

for us automatically straight through

chat GBT. And so those are just a couple

of the literally endless amounts of

possibilities. Very similarly, we can

also do the same thing with Claude. Now,

in this instance, what we're doing is

we're connecting it through MCP, which

stands for model context protocol. And

so, essentially, this can have a two-way

sync communication as well, where we can

both send data to Claude via the MCP

client over here. So, we can receive

data inside Claude, but we can also send

data from Claude into the MCP client

trigger. So, for example, I could

literally just ask down here like,

"Create a calendar event for me for

coffee tomorrow at 12:30." And it could

go ahead and create that calendar event

for me straight through connecting

Claude to NAD, which gives it access to

whatever tool that I needed to have

access to. Cool. And so, one of the most

popular use cases inside Naden is

dealing with PDFs and images and

documents automatically. So, here's an

example. Let's say you have an invoice

just like this. Now, I can't imagine

many more boring things to do than to go

through invoices all day and pull out

information and then put that into a

Google spreadsheet. We've all been there

before where we need to get information

and we need to pull it out line by line

and it's just tedious. It's like

literally pulling out teeth, except I

think pulling out teeth might be a

little bit more enjoyable. And so, how

this works is we can have multiple

different triggers here. Maybe we're,

you know, sending messages through

Telegram, for example, or we're

receiving emails or what, wherever the

case may be. We can get a document from

multiple different sources. We can

connect that into an AI agent which do

which processes these documents. Now,

these could be images. They could also

be PDFs. It really doesn't matter. You

know, we can play with a lot of

different data types and then we can

automatically pull this information and

then abstract that and put that right

into a Google sheet like we did before.

And this is great because all of a

sudden all those documents that you're

doing manually you can do automatically

moving forward. Cool. Now moving on is

another incredibly popular use case

which is generating a personal AI agent

assistant for you which can take care of

all the tasks that you needed to do. Now

imagine having like a virtual employee

where you set up one time how you want

it to conduct some particular behavior

like for example maybe calling people or

maybe dealing with your Google calendar,

your Gmail or your social media posting

or whatever the case may be. And then

once you train it one time, it just does

that over and over again anytime you ask

it to. So for instance, you could

message via Telegram over here saying,

"Hey, I want you to go ahead and create

a calendar event for tomorrow at 12:30

for coffee." I could go ahead and do

that. You could also say, "Hey, create

me a draft email to send over to

somebody asking about uh following up

with them because they were inquiring

about booking an appointment with their

company." That's another thing that you

could do. And so, the options are

endless, but you could keep just adding

as many different tasks on here and then

this could go ahead and do those tasks

for you. Sweet. And so, the next thing

that I want to talk about here is

project management. This is a uh really

really important workflow as well. So,

let's say you're working on projects,

could be just yourself, it could be also

with a team too. And with a system like

this, you could automatically go ahead

and create as many different tasks

inside something like ClickUp. ClickUp

is a an is a platform allows you to do

project management. And so you could

easily put all of your tasks together. A

great use case would be when you close a

deal with a client and you have to

fulfill that deal, you could write down

every single task. You'd assign it to

every single person on your team with

deadlines, with notes on what needs to

be done. And the coolest part about this

too is not only do you have to just can

you only create the tasks, but you can

also customize these tasks as well. So

if you're sending data from your CRM,

maybe you have a bunch of information in

that client and you can customize the

entire project from within ClickUp as

well. Now moving past this, the last

thing in general productivity that I'd

like to cover is notifications, which is

a gamecher. So let's say you deal a lot

with Slack, and this could be so many

different tools or whatever. It doesn't

have to be Slack, but this is just the

one I use for my my team. But

essentially, anytime you want to notify

yourself or somebody else in your team

that they need to do something, not only

could you create a project management um

task like in ClickUp, but you could also

send a message off to somebody. So, this

is kind of like a stupid example of a

notification because I just asked, "Hey,

test bot one, what a creative name, eh?

Uh, can you tell me a joke?" And it went

ahead and said, "I'd be happy to tell

you a joke, but I don't see anything

that the user said to me that it was

based on. Here's a quick joke about the

situation. Um, why did the comedian

stare at a blank page? Because they were

waiting for somebody to give them

material. Oh man, we're just going to

move on to the next section here, which

is

um career and freelancing. So, if you

guys are, you know, out there, you're

looking for a job or you're looking for

additional freelancing work, here's two

workflows that are going to really help

um speed up your time to find paying

customers or find a job. So the first

one is finding jobs on places like

Indeed. So think think about it this way

like we've all heard the news articles.

It's like person X spends a year

applying to 500 jobs or 600 jobs.

Imagine if instead of you having to go

through the excruciating pain of

applying to all these jobs, you could

just log into your computer once a day

into a list where all the jobs are

prevetted for you. You can see a rating

of how similar that job is to your

preferences and the cover letter could

be generated as well. We're pulling all

data from all the jobs like the salary

and the city and all that kind of stuff

and we're pulling it in from places like

Indeed, like LinkedIn as well or places

like Zip Recruiter and the other 10 or

20 other job aggregate boards out there.

So, we can literally just pull it in and

then every single morning all you have

to do is just disqualify the jobs that

are not applicable to you. And this is

great because a lot of the times when

you're applying to jobs in general, it's

just wasted reading through really dry,

really incredibly like I don't know how

they make it so freaking boring. If

anyone has an answer for me how job

listings can be so incredibly dry and

boring, please let me know. But anyways,

um this will bypass a lot of that

because now all of a sudden you only

have to read through the jobs that

actually get you excited or actually

similar to what you want to apply for in

the first place. It'll generate the

cover letters. then you can go off to

the races, click the link, and apply to

that particular job. Now, past this,

what you could also do is create a

similar workflow that you automatically

pull jobs off of Upwork. So, if you're

into freelancing, for example, and let's

say you're in the a automation space, at

any given time, there's like literally

4,000 people. I wish I could zoom in a

bit more there because like this is so

important. There's literally 4,000

people looking for AI automation at any

given time. And we could just scroll for

days through this. you'd never be able

to work for this many jobs or even apply

to this many jobs in a given time before

this all refreshes and there's another

4,000 people. But anyways, every single

day, what this will do is it will web

scrape all of these listings off of here

and it will dump it into a particular

Google sheet. Very similarly, it will

create the cover letter and it will also

go ahead and filter them out and score

them so that you only focus your time on

the jobs that actually matter so that

you can, you know, not waste your time

on on things that you don't probably

care about doing like going through all

of these very boring um job postings,

verifying your human every single two

seconds, and then uh you know going

through the whole process. Obviously,

this sucks. I wouldn't like to do it.

I'm sure you wouldn't like to do it. And

this is a way that you can automate most

of that. Now moving on to the next

category here we have sales and this is

how you can make money hopefully using

tools like naden or automation tools in

general. So the first one is how you can

take a sales call. So let's say you're

talking to somebody called Agnes. I'm

just going to use the word the name

Agnes here. And you're you're on a

passionate sales call with Agnes and

you're filling out all the details.

Agnes tell me what your problem is.

She's like hey I need help with SEO.

You're like great. I have the perfect

solution for you. We're going to build

an blog generator for you. and you put

in all the details like this is going to

cost you Agnes a total of $5,000 but

Agnes because of your name we're going

to give you 10% discount all this kind

of stuff right you just throw it

together and then all of a sudden you

can literally trigger when you submit

this workflow down here this particular

automation which is going to go ahead

and generate a proposal for you that you

can send off to Agnes now the cool thing

about this is it's a twoin- one document

you can both use this as a contract and

then you can also use this as an invoice

you can generate very dynamic pricing

tables. You can even add in here

optional upsells, which as just a side

note, this made me 10% more topline

revenue just by adding an additional

products because you miss 100% of the

shots you don't take. So, if you just

put products in front of your customers,

chances are they're going to buy more of

it of what whatever you're selling. So,

this is a great alternative as well. And

so, this is the kind of stuff that you

can generate using Panda and Naden.

Sweet. So, the next automation that I

want to talk about inside Naden is voice

AI calling using a platform called

Vappy. Now, a couple things to keep in

mind. This is outbound and inbound

calls. So you can call people, but you

could also receive calls from people. So

this could be like a receptionist where

somebody calls you and you answer the

call, you route them to the right place

or you get them the right information.

You could also do outbound calling as

well. Just keep in mind the ethical

considerations of outbound calling using

voice AI. But another practical use case

is let's say somebody inquires on your

website. Okay, so they're interested in

your services. Like for example, maybe

somebody comes to me, they apply or

inquire about voice or they inquire

about AI automation. They fill out the

form and then that could trigger like a

setting call which is an AI setting call

which qualifies the person making sure

that the right fit for our company and

our company is the right fit for them

and then once we go ahead make sure that

person is qualified then in real time

this AI agent or voice AI can connect

into NAN okay and it can have access to

my calendar so it could book a closing

call between me and that person on my

calendar in real time while talking to

the person and then we could have that

like located right on this calendar,

which I think is really cool. Now, the

next workflow that I want to talk about

here is a speed to lead workflow. So,

imagine this. Somebody is interested in

your services and they fill out a form

on your website inquiring about those

services. What this workflow will do is

it will automatically call that client

in literally 15 seconds.

>> John,

>> so how this works is it will call me as

a sales rep first. I press any key on

the keypad and then once I do that, it

will call the lead. And if they pick up,

we'll be on a call together within 15

seconds or less. And why this matters is

because if you call within 1 minute, you

can increase your conversion rate by

391%. This isn't my stat. This is a stat

that you can find widely accessible

online. And there's very few things that

can get you four times the amount of

money in literally 5 minutes. This

happens to be the only thing that I know

of. And I think it's one of the most

powerful automations that you could

possibly build inside an end. Okay,

cool. Moving past that, the next

automation that I want to talk about is

very similar to the previous one, but in

this instance, what's going on is we are

automatically scoring leads as they come

through. So let's say for instance, you

have a form like this and you ask people

like, hey, what's your monthly revenue

and what's your budget and all this kind

of stuff? You could actually take that

information using AI. you could process

some kind of score where you give points

where you're like one point if the lead

has a budget of over $5,000, one point

if you know they're in the service

industry and so on and so forth. And you

can score that particular lead on a one

to five point basis and then disqualify

people that are not um the ideal

candidates for you so that you only

focus your time on calling people that

are the right candidates or the right um

leads for yourself. Now, moving past

this, the next workflow that I want to

talk about here is automating

appointments. So, one of the coolest

things too about NAND is you could, for

instance, send out your calendar

automatically to people. Let's say when

they fill out that form to book a call

and maybe they don't pick up the phone,

you could automatically send out a

calendar just like this. Okay? And when

somebody goes ahead and books a date and

a time, you can automatically send out

notifications to that person leading up

to the event, the calendar meeting. So

it could be like the the moment they

book, a day before their booking, 30

minutes before the booking, maybe you

send a text message. And the cool thing

is you can do this for them, but you can

also do it for YouTube because let's be

honest, like a lot of the times um

clients don't show up, but sometimes you

you might not show up either. You might

have something that comes up or you

might forget about it. And this is just

a good way to get you on a call with

somebody else. Now, taking it one step

further, not every single person that

you book a call with is going to show.

Sometimes people might no-show or

sometimes people might cancel. And so,

in these emails, you can include a link

to reschedule, for instance, or cancel

the appointment. And I would rather have

people cancel than no-show because if at

least they cancel, I can rebook that

time with somebody that could

potentially close. And so, what can

happen is you can have two additional

workflows down here. If they reschedule,

you enter them right back in to send

them notifications to the the call. And

if they cancel, you can send them

notifications being like, "Hey, I heard

you you canled. It would be great to

reschedule for a later point in time."

The reason why this matters is because

not everyone that cancels isn't

interested. Most people, I would say,

are not interested, but there's a small

there's a there's there's an amount of

people that, you know, life just got in

the way and they would like to jump on a

call and that can result in a sale. And

so unless you follow up and you work

with them to close the deal, it's

otherwise lost. And this is a great way

to bring them back in so that you can

later go ahead and close them. Now the

next two and last workflows inside sales

is when somebody goes ahead and signs

and pays. And so when somebody goes

ahead and signs that document that you

send over to them, you could

automatically send them follow-up

messages being like, "Hey, I saw that

you signed, but you didn't go ahead and

pay." And this is really important

because if you're in a business and cash

flow is essential to you, you don't want

people signing and then deciding to pay

6 or 12 months later. Like that's the

worst thing that can happen. And nobody

likes chasing down a client and being

like, "Hey, you know, it's been like 10

years now. Like my hair has turned gray

and you know, I'm not the same person

anymore, but I was wondering if you

could pay you know you could you could

pay me for the services that you agreed

to pay me for." And obviously you want

to avoid that. An automated system like

this will ensure that as soon as

somebody goes ahead and signs that

agreement, you'll follow up with them

and get them to pay. And then once they

go ahead and they fill out their credit

card information via something like

Pandock or whatever the platform is that

you're using, you can go ahead and

automate that too. And then insert that

into your onboarding process. First of

all, you can thank them being like,

"Hey, thanks so much for paying. Really

excited to work with you." You could

automate the process of QuickBooks and

bookkeeping. You could automatically

create onboarding like pro like project

management systems for them. There's an

endless amount of possibilities. Now,

moving past this, I want to go into

social media as the next category. And

so, with a system like this, what's

going on here is we can automatically

generate social media posts, just like

this LinkedIn post here, which got

11,380

impressions, or this one that got 8,000

impressions or 11,000 impressions or

11,000. And keep in mind this is on a

brand new LinkedIn account with not that

many subscribers. So how this works is

two parts. You can either generate um

the content and once you're ready to

generate it, then you go ahead and post

it. So you can generate the captions.

And the reason I segment this into two

is because maybe you want some quality

control so you don't just put out stuff

that doesn't represent you well or

you're not proud of, right? And so you

can take a second look at it, make sure

you're happy, and then once you are, you

can click this post and this will

segment it down two paths. It'll

generate the content like the captions

and then once you go ahead and post

it'll go down the second path and post

it to the social media platforms that

you want to post to and then you can

generate content like this in a matter

of just a few minutes. Now the next

thing that you can do is generate AI

video content using something like VO3

or Sora 2. And so how something like

this works is you automatically can

generate videos like this.

>> Do you think anyone's watching us?

or something like this as well. Keep in

mind

>> donut store looks suspiciously like a

gym

>> or something like that too. Just keep in

mind like the the text is not always the

perfect on. But this is only going to

improve over time and obviously the

voice is not the exact same voice as

Homer. It was like weird the first time

I watched this cuz like that looks

exactly like Homer except the voice

nothing like him. Um anyways, that's

another option. Now, another cool thing

that we can do besides just videos is we

can generate images. And the coolest

part about this is not only can we

generate images, but we can also merge

those images together with a workflow

like this. So, let's say you're in

product photography for Lush. And no,

I'm not affiliated or representing Lush

in any way whatsoever. Um, but let's say

you have soap like this and then you

have this Lush body wash and you want to

merge these together. instead of like

going over to a designer or whatever to,

you know, build this out for you, you

can use artificial intelligence and

merge these together into a nice little

gift basket down here. And you can see

that it does pretty well with the text.

Same here and same here. The only thing

it didn't do well on is this um where

that is complete 100% gibberish. But to

be fair, like it's trying to pull it

from here. And I can't read that. And I

also at least at least this is a bit

clearer gibberish. And this is like

nonsense with that is completely

unclear. Anyways, moving past this, the

last um thing that I want to talk about

inside our content category here is

faceless YouTube videos. So, this is

primarily shorts, but essentially with a

long complicated workflow like this,

which is going to be down below for free

in the blue in the description, um we

can generate videos like this.

>> Three remote jobs for 2025.

One, AI prompt engineer craft perfect

prompts for businesses. Two, virtual

reality designer. And so that's kind of

the video. You you'll see a couple

things. There's um there's captions down

here, which to be fair, like I didn't do

the best job placing these captions. I

should have removed the text up here as

well because it kind of over overlapped

and it didn't look the best. And so

that's just 100% on me, not on the

prompt. You can add in background music.

You can add in um voice on here. You can

add in motion pictures and so you can

create really cool stuff um just using

an automation like this. Cool. Now

moving past this, the next category that

I want to talk about is marketing. So we

can create a marketing agent team which

can handle multiple different tasks like

creating videos, images, blog posts and

all of that kind of stuff. So let's just

go through a list of what it can

generate here. So first of all can

generate picture ads. It could generate

videos.

>> Experience unforgettable flavor at the

Rusty Oak Steakhouse.

>> Okay, cool. And then it can generate

other, you know, images like this or

like that. Can even edit images. So, we

have the um ice cream and then we're

changing the color, but everything else

is kind of staying intact. Uh, really

cool stuff. Now, the next thing that I

want to talk about here is AI agent web

scraping, which essentially you can

control one AI agent to scrape multiple

different locations. Google Maps, Yellow

Pages, Apollo, Instagram, Tik Tok. So,

and and then dump that into a Google

spreadsheet just like this. So, we're

using Amplify here and there's just so

many different platforms that we can

scrape data from like Google or Tik Tok

or Twitter or um uh what else? Instagram

or the the list goes on and on. Facebook

or LinkedIn, every major platform you're

using, you can likely scrape data from

using Ampify. And you can also get

started for free. And you can get all of

those results in here. You can enter

that into so many different workflows,

such as, for example, a cold LinkedIn

outreach system, which can take that

lead list that you just generated from

Ampify, and then you can automatically

DM people on LinkedIn with a workflow

like this. Okay? And so we can send out

messages just you know first of all

connecting with people once they connect

we could send them follow-up messages

and so on and so forth to sell our

products or services. We can also cold

email people as well. So once we get

that list of people we can insert into

something like instantly which which is

a cold email system and send out

campaigns just like this like hey first

name personalization um and then we can

have like our copy here. Of course, we

can split test multiple variations to

find the winning formula. And this is

how you could send off emails

automatically using NAN as a tool. The

next thing that we could do is generate

blog posts and then publish those blog

posts on social media. So, one path is

for generating the blog posts. Another

path is um publishing those blog posts

on social media to gain traction. So,

this is kind of what that blog post can

look like. You can not only generate the

entire blog post, but you can style it

using artificial intelligence up top

here. You can generate AI images that

look pretty good. Um, and you can also

do all types of SEO optimization as

well, like for example, the metatitle,

description, um, alt tags, everything

that you want to do in order to optimize

this. You could figure out how to do

this with a blueprint like this inside

NAD. Now, when I was doing SEO using AI,

um, I was able to get up to 1,500 clicks

every single day. When I started this

journey, I was only getting like 10

clicks on my website every single day.

And keep in mind, what I'm showing you

here is just one website that I was

doing this for when we really had three

websites doing this at the same time.

This was for my past business. Now,

moving on to the next category here, we

have AI SAS, which allows you to create

full-blown web applications using AI and

then connect that into platforms like

Naden to supercharge the back end and

connect it into whatever it is you want.

So, here's an example. I have a website

called site sleuth or sloth. I'm not

quite sure which one it is. But anyways,

we can put in our URL down below here.

So, I just pasted in my website here,

and it's going to go ahead and give me

all different ways that we can optimize

for SEO. It's going to give us a list of

multiple different pages that we can go

to, word count, total links, unoptimized

images, and so on and so forth. So, we

could easily spin up a web application

like this in like 20 or 30 minutes. And

then we can connect it into naden in the

back end which will allow us to do that

nad or that SEO audit and then show send

the results back here to be displayed.

At no point in human history were you

able to use artificial intelligence to

generate websites until like a couple

years ago. This is absolutely insane.

When I was learning software

engineering, it took me so long. It

would have taken me a lot of time to

generate an app like this that can now

be generated almost instantly. Cool.

Moving on. We can also use this for

something like lovable as well. So this

is another example of AI apps where

instead of using Firebase which we were

using before with Google, we're using

Lovable which is another popular AI SAS

um platform. And so in this example,

what's going on is we're just asking the

user to enter or create social media

content. So they could plug in things

like their interest industry or company

name or website or whatever. Generate

the media and it's going to generate the

post and the image. Obviously, this is

probably not the most appealing image in

the world and probably not the most

appealing social media um post in the

world, but in like 5 to 10 minutes, if

you just optimize this, I'm sure it

could be substantially better. Okay,

moving forward, we have recruitments as

the next category. Just one um one use

case in this area where we can

automatically pull applicants from

listings in Indeed. So let's say you

post a job here, people apply to that.

We can automatically pull those people

and then we can add them into a Google

sheet. And you see all these check boxes

here. This is the life cycle journey of

somebody going through the application

process at your company. So they might

start off with questions. You might have

a form that they fill out and once you

fill out that form, you might want to

approve the questions like for example,

what salary do you want? How long do you

want to work here? all those like

generic questions that you're qualifying

the person to make sure you don't jump

on an interview without making sure that

you actually want to talk to the person.

Then once you approve it, you can click

the check box. I'm going to have a

screening portion where you ask them to,

I don't know, like prove their skills.

If they're a photo editor, edit 20

photos for me. If you're a script

writer, write a script for me. All that

kind of stuff. And then you approve the

work to make sure they're qualified for

the job. And then once the test is

complete, maybe you schedule interviews,

you hire them. All of this kind of stuff

can be automated. All the information

can be posted in this Google sheet here.

And the next thing is customer service.

So of course, we can also use NADN for

customer service. So in this instance,

what we can do is we can add a chatbot

onto our website where all of a sudden

customers can message us. And of course,

this could handle frequently asked

questions, but it could also help us

with tasks like generating invoices, for

example, so that we could send off

entire documents to people in a matter

of a couple seconds. We could also use a

rag, which stands for retrieval

augmented generation system to

automatically reply to customers. So

let's say somebody is messaging us in

our CRM and they're like asking

questions about our business. We can

automatically generate responses back to

their questions as they you know for

every question they ask we will have a

answer for them. And how raich systems

work is you can think about it like a

brain where you train this AI brain on

everything about your company and it

remembers everything that you feed it.

It could be all your contracts,

invoices, messages, everything. whatever

it is you've entered in there, it'll

remember it and it will be able to reply

to customers based on the data that you

provide it with. So, it's like a really

intelligent version of yourself just

replying to customers on your behalf.

And the last thing that I want to talk

about here, which is the miscellaneous

category, is you can create an AI clone

of yourself to respond back to you. So,

for instance, in this particular

workflow, we have an AI agent where

we're messaging it through Telegram. And

as soon as it generates a response,

instead of generating a text response,

it generates a voice response that

sounds exactly like us. So, we can clone

ourselves in 11 Labs and then reply back

to ourselves like we're literally hiring

ourselves to do work for us. Here's what

it sounds like. A resilient neighborhood

rises together hand in hand after every

storm.

>> It's always kind of eerie just hearing

yourself talk back to you like that. But

anyways guys, that's it for this video.

Thank you so much for watching. I hope

you found value in it. If you did, make

sure to hit that subscribe button down

below and also take a look at my school

community where there are three major

outcomes. First of all, the first

outcome is teaching you these skills

like naan and so on and so forth that

you can apply to your life to save time

and earn more money. The second

transformation here is for those of you

looking to create an automation agency.

I'll help you find, close, and fulfill

clients in 30 days or less. And then the

last transformation is for those of you

who are looking to automate your

existing business. With mine, I scaled

it to seven figures, automated up to 80%

of it, and I'm going to give you the

exact plug-and-play blueprints to allow

you to do hopefully the same thing. So,

thanks guys so much for watching. I hope

you have a lovely day, and I'll see you

in the next video. Thanks and bye-bye.