Today, I'm super excited to share with

you guys the ultimate media agent. Not

only does this agent have access to

personal assistant functions like email,

Google Drive, and calendar, but can also

do so much on the creative side of

things like creating an image, editing

an image, creating a video, or turning

an image into video. And then finally,

it can post any of the media that you

create on X, Tik Tok, or Instagram. And

finally, something that's really

important, it logs everything it does,

even if there are errors, so that you

can have full visibility into what your

media agent is doing. As always, I'm

going to give you guys this entire

system for free so that you can get

hooked up and start using this thing

just like I am. So, stick around to the

end of the video and I'll show you how

to set everything up. So, I don't want

to waste any time. Let's start seeing

how this thing works. Okay, so we talked

to our agent through Telegram and on

this lefth hand side, you can see I'm

going to send over an image. And what

the agent's going to do is first of all

process this into our Google Drive

environment and then it's going to come

back and say, "Hey, what do you want to

call this file?" That way, we can keep

it in your database for later. And while

we're letting this spin, I'll just show

you a quick sneak peek of something that

it did earlier for me. this exact team

of agents. So, here you can see the

agent's pretty eager to help us out.

It's asking us about how we want to name

this and also if we want to change any

sharing settings for this picture. So,

right now we're not going to touch the

sharing settings. I'm just going to give

it a name. So, here you can see I just

sent off this message that says to just

name it speaker. What it's going to do

is it's going to go to our Google Drive

agent right here and that is the one

that has the right tools to actually

change the name. As you can see, this

tool right here is called change name.

So, we'll watch it hit the Google Drive

agent and then we'll go check in our

actual Google Drive folder to see if it

has been changed. Okay, so it just

responded to us and of course it's

logging all of its actions which I'll

show you guys later. But if I pull back

up Telegram, it says that it renamed the

file to speaker. I can click on this

link right here and we should see that

exact picture that I just uploaded. And

you can see it exists in our folder

called media. It is called speaker and

it's right here. So now what I'm going

to do is send off this other message

that says please edit that image. Turn

it into a studio looking image. It

should be energetic, colorful, and

highlight the feeling of listening to

music on a speaker, whatever that means.

The media team will figure it out. So,

what this agent is going to do is it's

using GPT5 Mini, which is its brain, to

figure out which agents do I actually

want to use in order to edit that image

and turn it into a studio looking sort

of advertisement. And so, what it's

going to do is it's going to hit its

creative agent right here. And this is

the one that has access to that tool

called edit image. And we should see it

basically be able to grab that file from

our Google Drive and edit it. It's also

using a think tool because it has so

many different actions to process that

sometimes it needs to think. And if you

haven't seen what this tool does, I'll

link a video right up here where I cover

that. As you can see, just as we

predicted, the creative agent is using

its edit image tool. So, I'll check back

in with you guys once we get that final

product back. All right, look at that.

The agent actually ended up creating

three different images for us. So, we

have a couple different styles that we

can choose from, which is pretty cool.

So, now that it logged its actions, it

said, "I created preview edits and saved

them to Drive, but they're 1024 x 1024

proofs. confirm before I render final

2048 deliverables. That's fine. So, as

you guys saw, it sent us three different

ones. As you can see, they're pretty

much all named the same thing, just

speaker studio vibrant. So, then it asks

us what we want to do next. First thing

I'm going to do is just go to our media

folder and make sure they're there. So,

we have the original source file, and

then we have the three edited ones right

here. So, here's number one. Here's

number two. Here's number three. I think

honestly number one is probably my

favorite. So, this is the one that we're

going to use to turn it into a video.

All right. So, it just fired off this

new message where I said, "Actually,

what I want you to do is take that first

preview file." So, this was the one that

we liked the best. And then I said,

"Turn that into a video. Create a VFX ad

with music and lights that sync to the

beat as an advertisement for a JBL

speaker." So, once again, this is going

to hit the creative agent. It's going to

use that imagetovideo tool. And let me

check back in with you guys once that

has been processed. And of course, real

quick, we're using GPT1 for the image

generation, and we're using V3 fast for

the video generation. Real quick, wanted

to update you guys. The creative agent

has full autonomy to use its tools to

help us out with our media. And you can

see it's going to turn that image into a

video, but it also wanted to try out

creating its own video with just text.

So, I'm not too confident how good this

one will be, but we'll definitely take a

look. All right, so that just finished

up. I'm very, very impressed. So, this

first one is the one that was actually

the image turned into video. So, let's

click into this real quick. We'll hear

the audio.

That one's super cool. Very impressed.

And now this one is just text to video.

So obviously in that one we don't get

the same like JBL branding or the actual

speaker, but still could be some really

good B-roll. And both of these were

generated with V3 fast, which is cheaper

and faster than V3. So imagine if we had

these results in V3. Also, you can

customize these prompts a lot more for

your use case. You guys will see how I

did it here and it's very very minimal.

So very impressive. And then basically

it responds to us and says, "Okay, here

are the two different files we just

made. What do you want to do next?" All

right. So I'm going to shoot off this

one. I'm saying to send the JBL speaker

VFX video to Dexter Morgan. So what it's

going to have to do is find in our

Google Drive the right file that we're

talking about. It's going to have to go

to our contact agent to find Dexter

Morgan's email and then figure out if it

can send it to him over email. It also

may have to go make the file sharable.

So, it's got two options. It can share

with what specific email or it can just

share and make everyone a viewer of that

file. So, we'll see what it does. Okay,

cool. So, it got Dexter Morgan's email.

It's searching through media right now.

I'm assuming it's going to go back and

either make it sharable if it's not

already. And then, okay, there we go.

It's sharing the file right now. And now

it should kick off the actual email. All

right, sweet. So, that just finished up.

It said done. I found his contact

information. Set the video to anyone

with the link and sent the email. So, it

signed off best your name and

placeholders, which I don't like, but

that was my fault for not prompting it

that way. But either way, I'm just going

to hop into the email and let's take a

look. All right, so here's the email.

I'm sure you guys are glad that Dexter

Morgan made another return.

Dextermiami.com.

Although, if you've been watching the

newer seasons, it's now dexterl.com.

And then, who knows? But either way,

please find the 15C VFX ad draft for the

JBL speaker here. I don't think it's 15

seconds, but either way, if we click on

this link, it should now just pop up as

our video file, which isn't fully

processed yet, so we'd have to download

it. Let me do that real quick. And when

I hit download, this thing pops up. And

that's the exact ad that we wanted to

send. So, it was able to find the right

one. And man, I just love how like the

blue and red, they come out with music

beats and it's like syncing to the

audio. So cool. Okay, so let's give the

other agents some love. We haven't used

the social media one or the posting one

or the create doc tool. So, what I'm

going to do is kick off this message

that says, "Find me two high-erforming

videos about NAND on each of these

platforms, Tik Tok, Instagram, and

YouTube." So, it's going to go down here

to the social media agent, and that's

going to do all of the searching. And

then we will basically tell it to

compile those results into a doc, and

then we'll come back later and have it

post one of those ads on Tik Tok or

something just to make sure that it's

working. You can see it's doing search

right now on all three of these

simultaneously down here, YouTube,

Instagram, and Tik Tok. These are all

happening through Ampify, by the way,

which I will show you guys like what's

exactly going on. Don't forget to use

the code down below if you want to get

30% off Ampify. Okay, workflow just

finished up. It said, "Got it. I

searched through these platforms and I

found two high performing videos on

each." So, for Tik Tok, we have these

four editing workflows are the silent

killers. We have the link to the video.

We have the creator. We can see

different statistics about it. Same

thing with the second video. We'll come

down here to YouTube. We can see you

need to use niten right now. Free,

local, private. That one's by network

chuck. We've got a URL and then the

second one is also about local setup.

This one's also by Network Chuck and

we've got a video right there. And then

for Instagram, we have our URL, our

creator, we have the caption, all this

kind of information. So, we're able to

actually search through based on, you

know, a search term or a hashtag and we

can specify how many videos we want from

each platform. Then it said, "What do

you want me to do next?" I'm just going

to shoot this off, which says, "Put

those insights into Google Doc." We've

got a tool right over here. It didn't

really make sense to throw this in with

a different agent, so I just gave the

main agent a tool to create a doc. and

that goes to a separate end workflow

that we built out and does that whole

thing. Okay, cool. So, that one's

finishing up right now. We should be

receiving a link to the actual Google

doc it just made. So, here it is. It

called it niten high performing videos,

Tik Tok, Instagram, YouTube. Here's the

link. Let me click on that real quick.

And it pulls up our Google doc right

here where we can see it pretty much

gave us those insights with a brief

summary. And of course, it titled it as

well. And it should have put this

document in a folder in our drive called

media analysis where you can see it

popped up right here. Earlier I was

testing this and I made a file called

brainstorm and it just says don't forget

to make your bed. All right, so I'm

thinking you guys have probably seen the

functionality of all these agents. You

don't need to see calendar. You've seen

that before. You don't need to see the

web. You've seen that before. Let's just

do a quick one with the posting agent.

And what I'm going to do is tell it to

just go grab that VFX of the JBL that we

made and just post it to Tik Tok. All

right. So I'm telling it to post that

JBL VFX video ad on Tik Tok with the

caption music to my ears. So it'll be

interesting to see what it does here. It

has memory. It has a five window context

length, but we weren't most recently

talking about this ad. You know, we were

talking about some other stuff. So, it's

going to have to probably search through

the actual um media folder in order to

pull back that ID of that file. And then

once it has that ID, it can go ahead and

hit the posting agent to make that post.

So, as you can see, it looks like it's

making sure the file is actually public

because in order to post it using

potato, the file's got to be public. So,

it's doing that and then it's basically

going to shoot it off over here and hit

the Tik Tok post tool. All right, so it

just said it posted the ad to Tik Tok.

It gave us a submission ID and it

captioned it music to my ears. Let me

just hop over to Tik Tok real quick and

make sure it's there. And as you can

see, 1 minute ago, this just got posted

and we have our ad.

All right, so where to even begin? We've

pretty much seen most of the agents here

and I wanted to start actually breaking

down how this kind of stuff works. So,

I'll start with the two things up top,

which is the input and the output. What

happens over here is we're just doing a

quick switch to see what type of input

it is. So, if a photo exists, then we're

going to go up to the photo path, and

that's where we download it, put it to

our drive, and then set the text. And if

it's a regular text message that comes

through, we're just going to feed it

straight to the AI agent. And the reason

why we have to set the text here is we

have to make sure that both of the

inputs equal message.ext text so that

whichever way it comes, the agent will

at least receive something from there.

Obviously, it has its massive collection

of agents and tools below it. But then

what happens on this right side is it's

going to clean up its intermediate steps

and then log those in our tracker sheet

and then send back a message to us in

Telegram. And so what that tracker sheet

looks like is right here we have this.

We have timestamp, workflow, input,

output, actions, tokens, and then total

tokens. And let me just go all the way

down to the bottom where our most recent

runs would have been. Okay, so here's

the most recent one where I said, "Post

my JBL VFX video ad on TikTok with the

caption." Here's what how it responded

to us. And then we can see right here

the actions that were taken. If we

clicked into here, we could see the

different tools it called and the

different inputs and the stuff like

that. And of course, we have our tokens.

It shows us how many were prompt tokens,

completion tokens, the total, and also

which model was used for each of these

little objects. And so, obviously, this

is going to be really nice because you

can see exactly what time different

things were triggered. You can see

inputs and outputs and you can see you

know based on these patterns of actions

that are happening and you know stuff

like tokens you can make adjustments

from there. And if you're confused about

how you actually get there in your agent

you have a setting down at the bottom or

an option where you can return

intermediate steps. And if you turn that

on that's how you get this extra output

on the right hand side of your agent

right here where you have this big array

of intermediate steps which has all of

the actions and it has stuff like that.

And the reason that we have both a

success branch and an error branch is

because we go to the agent settings and

we want it to continue using an error

output on error. If we didn't have it

like this, basically that means if the

agent failed for some reason, it would

just stop the whole flow and we wouldn't

get a log or notification or anything

like that. So that's why we're able to

split it up into two different branches.

So real quick before I show you guys

some of these tools and how these sub

agents work, I thought real quick we'

just actually read the system prompts

for the main AI agent. So the overview

is that you are the ultimate manager

agent. Your job is to help the user out

with the task by using your tools to

delegate the task to their correct tool.

You yourself should not be writing

emails or creating summaries. Your sole

responsibility is just to call the

correct tool. It's got a ton of tools,

right? It's got the Google Drive agent.

It's got the email agent, calendar,

contact, social media, creative,

posting, web agent, create doc tool, and

then a think tool. These descriptions of

these tools are very, very high level.

And the reason they're so high level is

because in each of the sub aents or the

sub tools, there's another description

there where it's a little more detailed

on when to use this tool. It's good to

send as much information in the

description over to the sub tool or sub

agent because otherwise every single

time your agent's processing all of

this. So, if you make this really

chunky, you're just going to be using

more tokens. So, just something to think

about. And then I have seven little key

notes here that I decided to give it. I

said, if the user submits a photo, ask

them what to call the photo, then change

the name. Some actions require you to

look up contact information first, like

these three. Images and videos are found

in the database. Use the Google Drive

agent to get to those. Before asking

follow-up questions, use your Think Tool

to figure out what to do next. And we've

seen that it's been using the Think Tool

a ton, which is awesome. Before posting

anything, that file must be shared to

anyone in Google Drive. When creating

videos, don't ask how long they should

be. You know, VO3 is basically just like

8 seconds every time. And then always

output a message back to the user. Never

say nothing. So, as you can see, that's

not even too difficult or sophisticated

of a system prompt. you'll receive an

input, figure out which tools to use,

and just use them. Couldn't be simpler.

And then one other thing I will show you

guys is that we're using GPT5 Mini

through Open Router as the main model,

but we also have a fallback model where

we're using GPT5 Mini as well, but we're

just doing it through OpenAI rather than

Open Router. And maybe that's not the

smartest because if OpenAI goes down,

then both of these are screwed. But I

could easily just switch this out to,

you know, Anthropic or Google or

something else. But if you didn't know

about the fallback model, it's just a

cool feature that they added in in the

settings of the agent where you can

enable a fallback model like I said. All

right, so the first thing that I'm going

to do is talk about these custom tools

that I built. So we have the edit image,

the create image, the image to video,

and the create video. And then we have

these three for posting. And then we

have one for creating a doc. So like I

said, these are all workflows that I

built in edit and we're just having

these sub aents call on those workflows.

But they're all very simple. The reason

why we're going through sub workflows is

because we have to handle binary data.

And sometimes binary data can be really

annoying to work with sending between

flows. So that's why you guys may have

noticed that when the tools would finish

up, we would get a response in Telegram

before the main agent actually responded

to us in Telegram. And it's just because

I'm sending the binary in the subflows.

So if you don't care about getting like

super technical and you don't want to

see what these tools are doing, then

skip towards the end where I show you

guys like what you need to know to set

this stuff up. But I'm just going to

talk about these subflows real quick. So

let's just start with the create image

tool. As you can see, the trigger has to

be the when executed by another

workflow. And what we do in here is we

give specific inputs that we need. So in

this case, we need the name that the

image will be called. We need the image

prompt. And we need the chat ID so that

we can send all of the chats back to our

Telegram. And we use the image name to

name it in the drive. And we use the

prompt here. So I'm not going to dive

into all these flows and how I set up

these requests, but essentially we're

hitting OpenAI to create the image.

We're turning that URL into a binary

file and then sending it to ourselves as

well as putting it in the Google Drive

folder. And like I said, we have these

inputs that we're sending over. And the

way that we're able to specify how those

work is in the tool. So that was the

create image workflow. And if we click

into this create image tool, you can see

that it gives us these three things to

send over. And I'm letting the AI model

define what's the image name, what's the

image prompt. But for the chat ID, we're

referencing a variable. And I'm

basically just able to grab this from

the Telegram trigger node and pull over

the chat ID that kicked off the original

message. And that's really important to

understand because we're doing that

throughout all of these subtools. For

edit image, what we're sending over is

image name, image request, chat ID, and

picture ID. And this is the edit image

tool. It's basically identical to the

create image tool except for we actually

have to download that file. So we need

the file ID of the original one that we

want to edit because that lives in our

Google Drive. And once we are able to

pull that in, we can feed it into this

edit image node, which is another node

request to OpenAI's image generator. And

now we're able to actually give it the

original, give it the prompt, and it

makes a new one. And then once again, it

sends that new one to us in Telegram and

also puts it in our Google Drive. Now,

these two get a little more complicated,

but not too bad. First, let's look at

the create video. What we're telling it

to send over is a video prompt, chat ID,

video title, and an aspect ratio. And

then the actual tool looks like this.

It's going to capture all those

variables, feed them into FAL AI, which

is where we're accessing Google V3 fast.

We set up a polling flow. So, it's going

to continuously check in to make sure

that the video is actually done. And

once it finally is done, it's going to

move on, download that file, and then

send it to us in Telegram and also put

it back in our media folder drive. And

then the image tovide tool is basically

identical to the create video tool

except for we actually need that file ID

to hand the original image to the video

generation model. very similar to what

we did earlier with the edit image tool.

So you can see we pass over a file ID, a

video prompt, a chat ID, and the name of

the original image. And what that

workflow looks like is this. It's very

similar to that first one, except for we

actually have to download the file

first. So basically, we get the file ID,

we share it, we download it, we get a

URL for it, and then we pass that URL

into FAL to create the video based on

that original source file image. Same

thing. We poll, we get it done, and then

we send it to us in Telegram and we put

it in our Google Drive. So, I know this

may seem kind of intimidating, but

hopefully you can understand the

patterns here of all we're doing is

we're passing over small variables

between flows and the variables. Now, we

have everything that we need to do in

this workflow. This workflow in itself

is not complicated. And I think if you

guys, you know, download this workflow

and you dive into it, you'll see it's

not complicated. I think sometimes when

you think about like having to pass

stuff from agent to tool, that's where

it gets a little intimidating. But

hopefully now you can see that's a

pretty simple agent setup. And it was

pretty cool that it had like full

autonomy to decide which of these tools

should I actually use. While I was

editing this video, I realized that I

didn't touch on something in as much

depth as I'd like to. So, real quick,

just going to come in here and explain

this. So, I pulled back in this

execution where we had the creative

agent use our image of that speaker to

turn it into a video ad. And then it

also created its own video. But what I

wanted to show you guys is that if we go

into this subexecution here, what you

can see is that there's no AI step in

here. We're basically feeding in our

prompt and everything right from that

main workflow that called on it. So all

the magic of the prompting is happening

right here. As you can see, we basically

tell this main creative agent, this is

its full system prompt instructions.

Image prompts should be detailed and

stylized. Video prompts should be

concise, energetic, and should be one

seamless video with no cuts. Explain the

sounds in the video or any dialogue. And

then up here, it's overview is that

you're a creative agent. use your tools

to take action as requested and that you

are an expert AI image video prompt

generator. So this creative agent

receives the request from its main agent

up here and it itself sends over these

really you know high quality prompts for

image to video and for video and then

also the same thing with the images. And

so the reason I wanted to bring this up

is because this is GPT5 mini that's

creating these prompts over here. As you

can see, it's sending over this this

full video prompt to the workflow. And

when I was brainstorming about building

this system, my idea was that I was

going to go into this workflow. I was

going to have the main one send over an

initial small prompt and then I was

going to use like a prompt AI agent in

this flow that would be super super

prompted on how to create like a

structured JSON prompt. I'm sure you

guys have seen like V3 JSON prompting

all over X, LinkedIn, stuff like that.

And so that's what I was going to do.

And I started off doing that and then it

just became like not very consistent and

it it wasn't super super good and it

also was like very specific to one use

case and then I just basically gave the

agent a little more autonomy and I was

really happy with the output. So for now

it's like this. I'm happy with it. But

once again, if you had a very specific

use case where you would need this media

agent to make certain types of content,

really easy to just basically move over

this trigger, put an AI agent right

here, and have the AI agent create a

very specific prompt for you. You know,

I think even if I go into the workflow

history real quick, we can see that

that's the route that I was taking

initially earlier today. Yep, here it

is. So, this is the latest saved and

this was about 20 minutes before. You

can see I had this prompt agent in here

and I was giving it like structured JSON

prompts to do. And like I said, I was

just getting issues where it was like

throwing in the reference image randomly

and maybe I'm not the best at JSON

prompting and I have some learning to do

here, but it's kind of cool and I wanted

to show you guys behind the scenes that

I had tried this and I ended up taking

it away and I was happier with those

results. And I know that I'm not diving

into all of these different prompts and

all of these different agents. They're

all pretty standard, but keep in mind

when you download the template, you'll

be able to look at all of this and just

dissect whatever you want to. And then

when it comes to these posting flows,

these are all very, very identical.

There's just one thing switched. And let

me just pull up the X one to show you

guys. It's super simple. What we're

capturing over here is the file ID of

course and then the text which will be

like the caption of the post. And then

with those two things, we basically

upload the Google Drive file to Blot and

then Blot post it to X. And so all of

these are the same. We have X, we have

Tik Tok, we have Instagram. The only

thing that changed is within each of

these nodes. We just change the platform

that we're posting on. And so that's why

I said when you get this template and

you want to change like what you're

posting to, it'd be super easy to just

customize those tools for your liking.

And then the final tool over here is

creating a doc. What we're doing is

we're sending over the title of the doc

as well as the content of the doc. And

if I click into this button to show you

guys what this subworkflow looks like,

you can see this one's very, very simple

as well. We're capturing the title and

the content. When we go to create the

doc, we're basically just creating a

document with a title. And then when we

make that, it gives us a document ID.

And we use that document ID right here

to update it. And all we do then is we

pass in the actual content. So it's a

two-step thing. And then all I did here

and then all I did on this side is I

have a variable just to show the the doc

ID so that we get our clickable link

right away. Okay. Next, let me explain

what's going on down here in the social

media agent. So what we're doing here is

we are doing three different requests to

ampify. And ampify is kind of like a

marketplace for different actors we can

use. And actors is just a fancy word for

like a scraper. So, what I did is the

first one I wanted to do is I knew that

I wanted to scrape YouTube. So, I went

here and I grabbed this YouTube scraper

and then I just set up this request. So,

I'm not going to dive too deep into it,

but what you're going to do is you're

going to go to Apify, create an API

token. You will then come up here to

authentication and create a predefined

credential type. You will go to Appify

API and then just put in your API key.

And this will already be completely

configured for you where the AI is

basically making this request to Amplify

and it's saying, "Okay, here's how many

results the user wants and here's the

search term that he is looking for." And

pretty much this exact same thing is

happening within each of these two

requests. The only difference is that

they're all different actors. So, they

accept data a little bit differently,

but essentially it's the same thing of

search term and how many, you know,

posts do you want back. And this is

where you can really feel free to switch

out different scrapers that you may want

to use and what exactly you're looking

to do when you're using like a social

media agent. But I just really wanted to

show you guys how easy this can be to

make these different systems of

autonomous agents. Give them tools based

on like things that kind of make sense,

different buckets. And once again, I'm

using GBT5 Mini here to power this

entire thing. All right, to wrap this

one up here, we're going to do a quick

cost breakdown of everything that's

associated with running the system. And

then I'm also going to show you guys

like what you need to do if you actually

want to get this set up. So, first of

all, if you do want to get this set up,

you're going to go to my free school

community. You can also access this full

guide if you go there. The free school

community is linked down in the

description. And once you get here, you

just need to search for the title of

this video or it might be pinned or in

the YouTube resources, but it will be

here. And once you click on that post,

you'll be able to download the JSON

file. In this case, it'll probably be a

zip file with like eight or nine total

files, but you'll download those. and

then I'll show you like the full setup

guide of how to get going with this. So,

first of all, we have the cost

breakdown. Your first cost to be

thinking about is your chat models, your

token usage there. And so, today I was

using a mix of GPT5 mini. So, pretty

cool that the entire system, the main

agent was running on 5 Mini. And then

for some of these sub agents, I was

using 4.1 just because I'd had them on

4.1 for so long and they worked so well.

So, for this video, just didn't touch

them. And you can actually see here that

5 minis cheaper on the input but more

expensive on the output. So you can do

the math and kind of even that out

there. Then we have the pricing of the

image generation and the video

generation. So we were using GPT- image

1 for the image generation. And so this

doesn't matter as much like in my mind

at least. This is more about like the

input tokens on the prompts. I think

what people are more concerned about is

per image pricing. So for lowquality

square image it's going to be roughly a

cent. For medium it's roughly 4 cents

and for high roughly 17 cents. And I

think in this case we were using the

medium images for 5 cents a pop. And

then we were using V3 fast to make

videos. And the pricing is a little bit

different if you're doing text to video

or image to video. So for text to video,

for every second you're going to be

charged 25 cents, but we were doing

audio on, so that would have been 40.

And then for image to video, it's the

same price for audio on per second, but

if you don't do audio, it's going to be

a little more expensive per second. But

it also said that this is experimental

pricing and could change. And then

there's a couple subscriptions that you

may want if you want to duplicate

exactly what I have here. The first one

would be Blotato, which the first plan

is 29 bucks a month, but you can get 30%

off for 6 months if you use code Nate30

at checkout. And then you also have the

Aify scrapers down here for different

social medias. And Apify, you've got

different tiers of pricing, but you can

also use code 30 Nate Herk for 30% off

your first 3 months at Appify. And then

down here in the web agent, we had a few

APIs as well. We had Perplexity, we had

Tavly, we had Open Weather Map, and all

of these are fairly costefficient. All

right, so now moving on to part two, the

setup instructions, because I'll be

honest, this is not going to be like a

super simple two-minute setup. You're

just going to have to do a few things,

but it's not going to be too bad. And

also, if you hear jets in the

background, they're like practicing for

the air show. And um yeah, there's just

a bunch of jets. It's getting super

loud. But either way, let's talk about

setup. So, when you go to my free school

community and you click on the post,

there's going to be a zip file right

here. And the zip file will have nine

different workflows. It's going to first

of all have the four for the creative

agent down here. So it's going to have

edit image, create image, image to

video, and create video. And then for

the posting agent, it'll have these

three X, Tik Tok, Instagram. And then

you'll have the create doc tool, which

will also be a workflow. And then you'll

have this entire thing as its own

workflow, too. So that's going to be

nine total files to download and import

into niten. But the rest of these agents

will seamlessly integrate because

they're already going to be baked into

the main agent workflow. Luckily, we

have this functionality. Otherwise, this

would have been like 15 workflows to

download. And so once you have all of

those downloaded, what's going to be

really important is that you download

them into your NADN. You name them

something and then once you name them,

you're going to have to link them to

each tool. So in this case, the edit

image tool. I called it edit image tool

and I sync them up. You can tell because

if I click on it, it's going to pull up

the actual tool itself. So that's a good

test. Make sure that once you connect

these, if you click on this button,

it'll pull up that actual tool and the

workflow that you just downloaded. So,

like I said, you're going to have to do

that for all of these down here that are

custom tools. And then after that, the

last thing you'll have to configure is

your own Google environment. So, keep in

mind what's happening is our creative

agent is putting all of the videos and

images in a folder in my Google Drive

called media. So, if you just create a

folder in Google Drive called media and

you sync them up to those nodes, you'll

be set. And then what's happening is

once our agent creates a Google doc, it

puts those in a Google Drive folder

called media analysis. So, if you sync

those things up and then you come in

here and you make sure that like you

know the search media tool links up to

your folder called media and that the

search docs tool over here links up to

your folder called media analysis. And

then the other piece is in the actual

workflows that create something at the

end. If you remember, we were uploading

them back to our drive and this is where

I chose the folder called media to put

them in. But when we have our Google doc

tool, which I think was this one, we can

see that what it does is it just creates

a doc. And this is where we actually

choose to put it in the folder called

media analysis. So like I said, a couple

things you'll have to configure, but

once you do, you're all set. And then

finally, the last thing to do would be

the actual Google Sheets. So we have two

Google Sheets nodes up here, and that's

what links up to this media agent

logger. And I'm going to give you guys

the copy of this template, and all the

names will be set up. So all you'll have

to do is come in here and just make sure

that you're looking at the right

document and the right sheet, and you

should be set. So, I know there's a lot

going on in this flow. Tried to do my

best here to make that holistic. You

guys will have access to this document.

You'll have access to a little setup

guide in here once you download this

main flow. So, hopefully that's all you

guys need to actually get this up and

running. And if you're looking to take

these skills further or you're really

having trouble getting this thing set up

and working, then definitely check out

my plus community. The link for that's

down in the description. We've got a

great community of members who are

sharing what they're doing with end

every single day. People in here are

building businesses around this end

stuff. It's super cool to be in an

environment where everyone is as

obsessed with this as you are. Besides

our two full courses and unlimited tech

support, you're also going to get one

live call a week with me. And every

single month, we're running hackathons

with over $6,000 of prizes every single

month. And you can essentially get paid

for building cool automations. Anyways,

I'd love to see you guys in this

community. But that is going to do it

for the video. If you enjoyed the video

or you learned something new, please

give it a like. Definitely helps me out

a ton. And as always, I appreciate you

guys making it to the end of the video,

even as we have jets flying through and

have been making me stop recording like

every 20 seconds to calm down. But

either way, thanks so much, guys.

appreciate you and we'll see you in the

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