Automate ANY task using ChatGPT! (with GPT actions feature)

Summary

Dieses Video zeigt, wie man Chat GPT nutzt, um Aufgaben zu automatisieren und relevante Informationen aus verschiedenen Quellen wie WordPress, Google Docs, Google Sheets, Social Media oder E-Mails schnell abzurufen. Es wird ein umfassendes Handbuch und eine schrittweise Checkliste gegeben, um die Produktivität sowohl im privaten als auch im beruflichen Leben zu steigern. Es wird auch die Verwendung von Webhooks und die Erstellung von Automations in Make.com behandelt, um die Interaktion mit externen Anwendungen zu erleichtern.

Takeaways

• 🤖 Chat GPT ist ein mächtiges Werkzeug zur Automatisierung von Aufgaben, das richtig genutzt Zeit sparen kann.
• 🔄 Um Zeit zu sparen, sollte man vermeiden, ständig zwischen Chat GPT und anderen Anwendungen zu wechseln.
• 📑 Der Videoinhalt zeigt, wie man in Chat GPT bleiben und relevante Informationen aus verschiedenen Quellen abrufen kann.
• 💌 Mit Chat GPT kann man Informationen senden, etwa per E-Mail oder in Google Sheets, ohne die Anwendung zu verlassen.
• 🔗 GET-Anfragen werden verwendet, um Informationen von externen Anwendungen abzurufen, während POST-Anfragen verwendet werden, um Daten an externe Anwendungen zu senden.
• 📈 Der Videolehrer bietet umfassende Ressourcen und eine schrittweise Checkliste für die erfolgreiche Automatisierung von Aufgaben.
• 👥 Die AI Foundations Community wurde gegründet, um Menschen effizienter und produktiver zu machen, sowohl im privaten als auch im beruflichen Leben.
• 🛠️ Automatische Prozesse können durch das Erstellen von Webhooks und die Verwendung von make.com-Automatisierungen eingerichtet werden.
• 📝 Es wird ein Beispiel gegeben, wie man mit GET-Anfragen kürzliche Artikel sammelt und mit Chat GPT LinkedIn-Posts erstellt.
• 🔧 Die Erstellung eines GPT mit spezifischen Anweisungen und Konversationsstartern wird detailliert erläutert, um die Automatisierung zu optimieren.
• 🔄 Ein GET-Request-Beispiel zeigt, wie man seine E-Mails zählt, indem man eine Anfrage an Gmail sendet und die Anzahl und den Inhalt der E-Mails erhält.

Q & A

Was ist das Hauptthema des Videos?

Das Hauptthema des Videos ist, wie man die Effizienz und Produktivität durch die Nutzung von AI und Automatisierungstools wie GPT steigern kann.

Was verspricht der Sprecher im Video, den Zuschauern zu zeigen?

Der Sprecher verspricht, wie man in GPT bleiben und relevante Informationen aus verschiedenen Quellen wie WordPress, Google Docs, Google Sheets, Social Media und E-Mails abrufen kann, ohne die Seite zu verlassen.

Was ist die AI Foundations Community, die im Video erwähnt wird?

Die AI Foundations Community ist eine Gruppe, die dazu geschaffen wurde, um Menschen dabei zu unterstützen, effizienter und produktiver zu werden, indem sie AI in ihrem persönlichen oder beruflichen Leben nutzen.

Was sind GET und POST Anfragen und wie werden sie im Video erklärt?

GET-Anfragen werden verwendet, um Informationen von anderen Quellen abzurufen (dargestellt durch eine rote Linie), während POST-Anfragen verwendet werden, um Informationen auf andere Quellen zu posten (dargestellt durch eine blaue Linie).

Wie verwendet der Sprecher GPT, um seine LinkedIn-Posts zu automatisieren?

Der Sprecher verwendet GPT, um Nachrichtenartikel zu aggregieren, die er aus verschiedenen Quellen liest, und dann verwendet er GPT, um automatisch LinkedIn-Posts basierend auf dem relevanten Inhalt der Nachrichtenfeeds zu erstellen.

Was ist der Zweck des 'Schema Ninja', der im Video erwähnt wird?

Der 'Schema Ninja' ist ein von dem Sprecher erstelltes GPT, das dazu verwendet wird, um Schritt für Schritt Anleitungen für die Erstellung von Webhooks und Automationen in make.com zu geben.

Wie wird in make.com eine Automation erstellt, wie im Video gezeigt?

In make.com wird eine Automation erstellt, indem man zuerst einen Webhook erstellt, dann die Einstellungen ändert, um GET oder POST Anfragen zu ermöglichen, und dann verschiedene Module hinzufügt, um mit verschiedenen Apps wie Facebook oder Instagram zu interagieren.

Was ist der Vorteil der Verwendung von make.com für die Automatisierung?

Der Vorteil der Verwendung von make.com für die Automatisierung liegt darin, dass es Zeit sparen kann, indem es eine komplexe Abfolge von Schritten in einer einfachen und schnellen Weise ermöglicht.

Wie wird im Video gezeigt, wie man einen POST Request von GPT aus sendet?

Im Video wird gezeigt, dass man einen POST Request senden kann, indem man die Anweisungen in GPT ändert, um die Informationen im JSON-Format zu strukturieren, das für die Kommunikation mit dem Webhook erforderlich ist.

Was ist der letzte Schritt im Prozess der Automatisierung, wie im Video beschrieben?

Der letzte Schritt im Prozess der Automatisierung ist der Test und die Anpassung der erstellten Automation, um sicherzustellen, dass sie korrekt funktioniert und die gewünschten Daten abruft oder sendet.

Outlines

00:00

🤖 Chat GPT für Automatisierung

Dieser Absatz betont die Fähigkeit von Chat GPT, Aufgaben zu automatisieren, wenn man es richtig verwendet. Es wird erwähnt, dass viele Menschen Zeit verschwenden, indem sie Inhalte in und aus Chat GPT kopieren und einfügen. Der Sprecher will zeigen, wie man in Chat GPT bleiben und relevanten Inhalt aus verschiedenen Quellen wie WordPress, Google Docs, Google Sheets, sozialen Medien, E-Mails usw. abrufen kann, um die Produktivität zu steigern. Es wird auch erwähnt, dass die AI-Grundlagen-Community dazu beiträgt, Menschen effizienter und produktiver zu machen, ob in persönlichem oder beruflichem Kontext.

05:01

🔍 Grundlagen der Automatisierung und Terminologie

Der Sprecher erklärt die Funktionsweise von Chat GPT im Hintergrund und verwendet bestimmte Begriffe wie GET- und POST-Anfragen. GET-Anfragen werden verwendet, um Informationen von externen Anwendungen abzurufen, während POST-Anfragen verwendet werden, um Informationen auf andere Anwendungen zu posten. Es wird ein Beispiel gegeben, wie man eine GET-Anfrage stellt, um die Anzahl neuer E-Mails zu erfahren, und wie eine POST-Anfrage verwendet wird, um eine Geschichte über einen Hund in Google Docs zu erstellen und zu posten.

10:02

📝 Schritt-für-Schritt-Anleitung zur Automatisierung

Der Sprecher führt durch die Schritte, um eine GPT zu erstellen, die LinkedIn-Beiträge für ihn postet. Dies beginnt mit dem Erstellen einer GPT mit einem Namen, einer Beschreibung, einem Profilbild, Anweisungen und Konversationsstartern. Es wird auch ein Checkliste und eine Anleitung zur Erstellung der GPT bereitgestellt. Der Sprecher erklärt dann, wie man eine GET-Anfrage verwendet, um Nachrichtenartikel zu aggregieren und in Chat GPT zurückzuholen, um LinkedIn-Beiträge zu erstellen.

15:03

🔗 Erstellen von Webhooks und Automationen

In diesem Absatz wird erklärt, wie man eine Verbindung in Make.com herstellt, indem man einen Webhook erstellt und eine Make.com-Automatisierung einrichtet. Es wird ein GPT namens 'Schema Ninja' genannt, das verwendet wird, um die Schritte zur Erstellung der Anforderung zu erläutern. Der Sprecher führt durch die Erstellung eines neuen Szenarios, der Einstellungen für GET- und POST-Anfragen und wie man eine Automation erstellt, indem man Module hinzufügt und Apps wie Facebook oder Instagram verbindet.

20:03

📑 Erstellen von Webhook-Antworten und Datenzuordnung

Der Sprecher beschreibt die Bedeutung von Webhook-Antworten und wie man sie verwendet, um Daten zuzuordnen. Es wird erklärt, wie man die Automation abschließt, indem man eine Webhook-Antwort erstellt und Daten zuordnet. Es wird auch gezeigt, wie man die Schema-Ninja verwendet, um die GET-Anfrage zu erstellen, die für die Kommunikation mit der GPT erforderlich ist, um Informationen abzurufen.

25:05

🔄 Testen und Anpassen der Automation

In diesem letzten Absatz wird gezeigt, wie man die erstellte GET-Anfrage testet und wie man die Anweisungen anpasst, um die gewünschte Datenformate zu erhalten. Es wird auch erklärt, wie man die Schema-Ninja verwendet, um die POST-Anfrage hinzuzufügen und wie man die Automation anpasst, um LinkedIn-Beiträge zu erstellen und zu posten. Der Sprecher betont die Bedeutung der Dynamik und Anpassungsfähigkeit von Automationen und wie man sie effektiv nutzen kann.

🚀 Abschluss und Aufruf zur Community

Der Sprecher fasst die Automation zusammen und hebt hervor, wie man die fertige Automation testet und wie man die LinkedIn-Beiträge veröffentlicht. Es wird ein Aufruf an die Zuschauer gerichtet, der AI-Grundlagen-Community beizutreten, um mehr über die Verwendung von KI in verschiedenen Branchen zu erfahren und mehr Effizienz zu erlangen. Der Sprecher bittet um Abonnements und Likes und kündigt an, dass er weitere ähnliche Videos produzieren wird, falls gewünscht.

Keywords

💡Automatisieren

Automatisieren bezieht sich auf den Prozess der Erstellung von Systemen oder Prozessen, die alleine funktionieren können, um Zeit und Mühe zu sparen. Im Video wird gezeigt, wie man mit Hilfe von AI und GPT Aufgaben wie das Schreiben von E-Mails oder das Aktualisieren von Google Tabellen automatisch ausführt. Dies wird durch die Verwendung von GET- und POST-Anfragen demonstriert, um Daten abzurufen oder zu senden.

💡GPT (Generative Pre-trained Transformer)

GPT ist ein generischer Begriff für künstliche Intelligenzen, die verwendet werden, um Texte zu erzeugen oder Aufgaben zu erleichtern. Im Kontext des Videos ist GPT eine Plattform, die verwendet wird, um mit verschiedenen Online-Diensten wie Google Docs oder WordPress zu interagieren und diese zu automatisieren.

💡GET-Anfrage

Eine GET-Anfrage ist ein Befehl im HTTP-Protokoll, der verwendet wird, um Daten von einem Server abzurufen. Im Video wird dies verwendet, um z.B. die Anzahl neuer E-Mails aus Gmail abzurufen oder Nachrichtenartikel zu holen, die später für LinkedIn-Posts verwendet werden können.

💡POST-Anfrage

Eine POST-Anfrage ist ein weiterer Befehl im HTTP-Protokoll, der verwendet wird, um Informationen auf einem Server zu speichern oder zu senden. Im Video wird dies verwendet, um z.B. eine Geschichte zu einem Google-Dokument zu senden oder einen Beitrag auf LinkedIn zu veröffentlichen.

💡Webhook

Ein Webhook ist eine Methode, um Informationen zwischen Anwendungen zu übertragen, indem eine HTTP-Anforderung an eine URL gesendet wird, wenn eine bestimmte Aktion ausgeführt wird. Im Video wird ein Webhook verwendet, um eine Verbindung zwischen GPT und verschiedenen Online-Diensten herzustellen, um die Automatisierung zu ermöglichen.

💡AI-Grundlagen-Community

Die AI-Grundlagen-Community ist eine Gruppe oder ein Netzwerk, das im Video erwähnt wird und das darauf abzielt, Menschen zu unterstützen, AI in ihrer persönlichen oder beruflichen Lebensweise effektiver zu nutzen. Sie bietet Ressourcen und Anleitungen, wie im Video gezeigt, um die Effizienz und Produktivität zu steigern.

💡Schema Ninja

Schema Ninja ist ein Begriff, der im Video verwendet wird, um ein Hilfsprogramm oder eine Art von AI zu beschreiben, das dazu beiträgt, Webhooks und die damit verbundenen Schemas zu erstellen und zu verwalten. Es hilft beim Erstellen von GET- und POST-Anfragen und stellt sicher, dass die richtigen Daten abgerufen oder gesendet werden.

💡RSS-Feed

Ein RSS-Feed ist ein Webbasierte Format für Inhaltssyndikation. Im Video wird ein RSS-Feed verwendet, um Nachrichtenartikel von verschiedenen Websites zu aggregieren, die später von GPT gelesen und als LinkedIn-Posts verwendet werden können.

💡JSON

JSON (JavaScript Object Notation) ist ein轻量级的数据交换格式, der im Video verwendet wird, um die Struktur der Daten zu definieren, die in Webhook-Anfragen gesendet oder empfangen werden. Es hilft dabei, die Kommunikation zwischen verschiedenen Anwendungen zu ermöglichen.

💡Make.com

Make.com ist eine Plattform für die Automatisierung, die im Video erwähnt wird und verwendet wird, um Workflows zu erstellen, die verschiedene Online-Dienste wie Google Sheets oder Social-Media-Plattformen verbinden. Sie ermöglicht es Benutzern, durch Klicken auf einen Button in GPT Daten abzurufen oder auszuführen.

💡Router

Im Kontext des Videos ist ein Router ein Werkzeug in Make.com, das verwendet wird, um verschiedene Routen oder Pfade für Daten zu verwalten. Es hilft dabei, zu entscheiden, welche Aktionen ausgeführt werden sollen, basierend auf den eingehenden Anfragen, obwohl es GET- oder POST-Anfragen sind.

Highlights

Automating tasks with chat GPT can save time if used correctly.

People often waste time copying and pasting between applications.

The video will show how to stay within GPT to pull in information from various sources.

GPT can send information to other applications like email or Google Sheets.

AI should save time, and if it's not, the user might be doing something wrong.

The AI Foundations Community helps people become more efficient with AI.

Understand how GPT works under the hood to automate tasks effectively.

GET requests are for retrieving information, and POST requests are for sending information.

Example of a GET request: Fetching email count and content through GPT.

Example of a POST request: Writing a story and sending it to Google Docs.

A step-by-step checklist is provided to help with automation.

Creating a custom GPT for automating tasks like posting on LinkedIn.

Aggregating news articles using a GET request to create LinkedIn posts.

Creating a GPT with a name, description, profile picture, instructions, and conversation starters.

Using a web hook in Make.com to connect GPT with external applications.

Creating an automation in Make.com to aggregate information from external sources.

Using the Schema Ninja GPT to create and revise schemas for GET and POST requests.

Testing the GET request to ensure data is pulled into GPT correctly.

Revising the schema to include a POST request method for sending data.

Setting up dynamic mapping of data to the web hook response.

Creating a LinkedIn post draft within GPT using aggregated data.

Publishing the LinkedIn post directly from GPT using the POST request.

The AI Foundations Community offers resources for leveraging AI in various industries.

Transcripts

chat GPT is amazing when it comes to

automating tasks but only if you know

how to use it right often times people

are left copying and pasting stuff into

chat GPT and outside of chat GPT and

ultimately that wastes time so in this

video I'm going to show you how you can

stay in your GPT and pull in relevant

information whether it be from WordPress

Google Docs Google Sheets social media

posts emails whatever it is you have the

ability to stay in your GPT click a

button and retrieve that information in

seconds you also have the ability to

send that information maybe you want to

send an email maybe you want to update a

row in your Google Sheets from your GPT

without leaving your screen maybe you

want to create a Google doc analyze a

PDF whatever it is you have the ability

to automate that and stay within your

GPT the entire time and in this video

I'm going to show you how it's done I'm

going to be giving you so many resources

I'm going to be giving you a

step-by-step checklist and I'm just

going to ultimately walk you through how

to do this and how to see success when

automating Tas ask in chat GPT listen AI

should be saving you hours of your time

right now if it's not then you're doing

something wrong that's why the AI

foundations Community was created it was

created in order to enable you to be

more efficient and more productive

whether that be tasks in your personal

life or tasks in your work life we show

you the steps to get there if you want

to learn how to leverage AI in your

industry to become more efficient and

more productive as a person then join

this community using the link in the

description or the top pend comment you

will not regret it before we get into

chat gbt and we start learning how to

actually automate things let's

understand real quick how it's working

under the hood and some of the

terminology I'm going to be using so the

red line is representing getting

information from an external application

the blue line is representing performing

actions on other applications okay so

you start off in your GPT this is big

chat GPT logo and you can either send a

get or a post request a get request is

the red line because you're getting

information from other sources the post

request is the Blue Line because you're

posting information on other sources or

to other sources so let me show you a

quick example of a get request I might

prompt to my GPT how many new emails do

I have today and it will send that

request to make and run through an

automated Gmail process on make because

it connects to Gmail and fetch my email

contents and how many emails I have and

the body content of those Etc and it

might form back a response of you have

five new emails an example of a post

request might be me saying write a story

about a dog and send it to my Google

Docs when complete my GPT would take

that request in the form of a post

request which I'll show you how to set

up contact make with the content that

I've provided the story about the dog

and send it to a new document within my

Google database and what I've even

provided for you is a step-by-step

checklist down in the description that

you can just follow along as we're doing

this video together for everything you

need I've even provided you a custom GPT

for this system to help you when I'm not

here to help on on the video so first

you need to understand what you want

automated and I'm sure you have some

ideas right now uh even just by watching

this first part of the video but let's

say for me I don't have much time to

create LinkedIn post but I read a lot of

artificial intelligence news articles

and I have specific websites I like

going to so for me a good example of

creating a GPT that is completely

automated and post on LinkedIn for me

would be step number one using a get

request so I can aggregate all of my

news articles and bring them back into

chat GPT so that chat GPT can

automatically create LinkedIn post for

me based on the relevant content from

the news feeds that I like so I'm

pulling articles into my GPT creating

posts using chat GPT that's why we would

go to chat gbt for this and then I would

send off those posts to my LinkedIn

automatically that's what we're going to

be building today so let's get right

into it step number one what we need to

do as you can see on our GPT automation

checklist is we need to create our G PT

so we need a name a description a

profile picture instructions and

conversation starters if you want a more

in-depth guide on creating this version

of your GPT like creating a very good

GPT with amazing instructions I'll leave

a link to that video in the upper right

hand corner where I go much more in-

depth on that so real quickly I'm going

to create this GPT and then I'll report

back to you once I'm done and kind of go

through what I did what I'm going to do

is in the upper right hand corner I'm

going to go to my gpts and then I'm

going to select create a GPT here I can

give it a name description instructions

conversation starters and a profile

picture and again since I am automating

my LinkedIn post I can give it a name of

the LinkedIn master and then I can give

a little description of what it does

this is actually an image of the

LinkedIn logo that I got generated for

this on Gro which is another language

model I can hit open and just like that

we have a profile picture name

description and now we need instructions

and this is kind of going to be

instructions for how your GPT needs to

run all the actions you want it to

complete and how it's going to contact

your web hooks so for that I put you are

a LinkedIn growth specialist now this is

basics of prompt engineering if you

don't know this yet then you definitely

need to learn it before you get into

fancy automations but I basically give

it a roll and tell it its job I tell it

what it's going to receive and then I

say right here when I say fetch articles

contact my web hook and get me the most

recent articles on AI this is going to

be a sendoff command to start the get

request which is going to be important

as you can see it says when I say fetch

articles in order to make my job easier

I can copy fetch articles and make a

conversation starter so now I can hit

this button and say fetch articles and

it will automatically run through that

process for me since I set it up like

this in my instructions and then I

basically tell it to receive the URL

read the content and create a LinkedIn

post and I give it a custom output

format for each LinkedIn post now I can

go back to our GPT automation checklist

and step one is complete we have a name

description profile picture instru

instructions and conversation starters

next this is where the real fun begins

we need to create the connection in

make.com by creating a web hook and

creating our make.com Automation and a

lot of the times it'll take 10 or 20

minutes to create an automation but it

will save you hours of time on the back

end and I even give you a GPT to walk

you through this step by step and it's

right here in a link so it's called the

schema ninja and I created this just for

this video and what you have the ability

to do is hit get request or post request

and that will actually send off a set of

instructions to the schema ninja in

order to help you create that so if we

go back to my instructions what you'll

notice right now is I need to first set

up a get request because right now I say

when I say fetch articles get me the

most recent articles on AI so how am I

going to do that because I need to get

that information back into chat GPT

therefore it's a get request so I can go

to my schema ninja and select get

request and it's going to walk you

through step byep what you need to do in

order to create this request as you can

see step one create a hook and make and

then change it to these settings right

here I even give example images for each

step so you can see what I'm talking

about as you're using this GPT but keep

in mind I'm using a free make account

for this okay I'm not using anything

paid other than my GPT plus plan which

I'm sure if you're watching this you

might have right now what we want to do

is we want to select create a new

scenario and then follow the

instructions from the schema ninja so I

need to create a web hook and change my

settings to get request headers yes and

get HTTP method yes so so I can do that

by once I create a new scenario this box

will pop up I can type in web Hooks and

then I want to select custom web hook

and here you need to add a web hook so

I'm going to hit add you can give it any

name you want I'm going to name it

posting for

LinkedIn beautiful I'll hit show

advanced settings and turn on these top

two and then hit save then I can hit

stop and okay beautiful so now we have

the ability to contact this specific URL

in order to start an automation that

follows this we can start an automation

by adding modules here and connecting to

so many different apps like Facebook for

example or Instagram and we have the

ability to download Media get media we

could contact notion and create database

items we could contact Google Sheets for

example and we can create rows we can

create sheets create sheets from a

template so as you can see there's

multiple different things you can do

after this web hook URL is contacted

with our GPT which I'm going to show you

how to set that up now so you can just

keep walking through this we've created

our web hook in our settings so I'll

just say complete and it's going to keep

giving you step-by-step instructions for

what you need to do so now it says

create your automation using make

modules so the tool I use for

aggregating my news articles is a tool

called RSS doapp this allows me to

create feeds and connect with

information from multiple different

sources I have articles pulling in from

MIT news artificial intelligence news

open AI research and Tech crunch so this

URL Aggregates every new post that comes

from those websites I can actually

connect to that and make so once this

web Hook is triggered I can type in RSS

and then I can retrieve feed items from

a specific feed that I create so I can

put in my URL and then I can have a nice

custom date from and date to most of you

won't be needing this complex of a

format for date from and date 2 but I

just want to set this up so I can be

receiving information from yesterday

maximum number of returned items how

many articles do I want coming in at

once maybe I only want five I can hit

okay and now I need to format this data

so that it's ready to be put in a web

hook response so I have this set up I'm

pulling in the URL title and author I

can hit okay and now I can aggregate

this data in order to pull in each

article CU right now it would only pull

in one article so I have to make one

text strand for all of them so I did

that that was very very simple in the

text aggregator side of things and many

of you won't have to do this complex of

tools in order to aggregate some

information but next after we've created

our automation we can take a look at

everything we've done so we've created

our web hook and now we need to finish

creating our automation so we can do

that by just talking to our schema and

just some more I'm just going to say

complete right there and now the next

step after we have our automation done

which is these three steps right here

what we need to do now is create a web

hook response and map our data so the

web hook response is important because

this is what your GPT is actually going

to receive so if I go here and I select

web hooks again and I select web hook

response in this body field this is what

information is going to be given to your

GPT so I've set up this information in a

way to where all I need to do is get my

text from my array aggregator and if I

have five articles then I need to make

five responses of that array aggregator

in the body of that web hook response

but you can just put normal text in here

too maybe you just want to put hey with

a couple exclamation points this

response will be received back in your

GPT but when you're using these

applications you actually have the

ability to map specific data to your web

hook response and this is where the

dynamic ability of your automation comes

in play here so I can hit okay beautiful

now we have this automation pretty much

all up and running we've created our web

hook response just as the schema ninja

has told us we have an example image

here too now I can just say complete

what do we do next now we need to create

the schema for this get request so we

can actually use chat gbt to pull in the

information to our GPT here which in

this case is the LinkedIn master so if I

go back to the checklist actually what

we've done is we've created our

Automation and now we're on the step

three which is creating our GPT action

so we need to go back into our GPT that

we've created and actually find a way to

connect to this automation here so the

schema ninja told us to create open AI

schema for the get request take a

screenshot shot of your web hook

response body and upload it here or you

can just give it the information it

needs in order to create that schema so

that it knows which information to pull

for now I can just go to my tools here

and I can paste in a screenshot of this

information that I want chat gbt to be

pulling in url title and author so we

need to take a screenshot of the

information we want pulled in or we can

just tell it maybe I want article URL

article author article content whatever

it may be you can give it all that

information that it needs in order to

create the schema then you can tell it

the goal which one and two kind of go

together this is just to get an idea of

how to create your schema for the get

request and step number three it tells

you to provide it with your make web

hook URL that you created in the first

module right here so this URL this blue

URL under your web hook action so I'm

just going to keep following this

stepbystep process I'm going to upload

my screenshot of the things that I

wanted pulled in or again you could just

tell it the things you want pulled in as

well I just want to show you an example

of this multimodality and then what you

want to do is copy your web hook URL the

entire thing and paste it in so I can

say I've provided everything create my

schema and send it off and it's

automatically going to create your

schema for you in the Json format that

you need this is what you're going to

paste in to the action section of your

GPT this is that long string of text

that is always very intimidating

whenever you want to automate something

so we we go back to our GPT now and we

scroll all the way down to the bottom

where it says actions down here we have

the ability to hit create new action

here we need to upload the schema that

was just created by the schema ninja

based on all the properties you want

pulled in from your automation so I can

copy this code head back to chat gbt and

paste in the schema just like that we

now have a get request with our specific

path our operation ID and it's very

beautiful so now we can even test this

but before we test it we can just go

back to our schema ninja and we can say

complete now that we've uploaded this

there was no errors nothing went wrong

we have a beautiful action in here ready

to go and this right here when we hit

test is going to contact this web hook

which will trigger the automation we

just created and after it runs through

this three-step process in the middle of

the red modules what it will do is send

back what it got from running through

that process okay so I'm going to turn

this on in the bottom left hand corner

and then I'm going to hit save on my

automation because once you hit complete

in your schema ninja that's what it's

going to tell you to do is to save and

test your information then we can send

off a test so I'm going to hit test and

what it should do is pull in all the

information that we're getting from my

RSS feed which is an external app that I

wanted connected so I'm going to hit

always allow up here and it's going to

talk to this web hook it's giving me the

post now from my RSS feed Fe so this

information is very custom because it's

coming from my specific feed that I

wanted in that external app and it's

actually making LinkedIn post out of

these right now so the data came in but

maybe it didn't come in in the format

you want or maybe it didn't come in in

the exact way you wanted as long as you

get response received with a status code

of 200 then it means your automation is

working you have the ability to change

whatever comes after this web hook

update your schema that you've created

with the schema ninja and actually pull

in whatever information you'd like based

on this web hook URL as you can see

though it's just giving me the post and

it's not showing me the title author and

URL first maybe first I want to actually

read the article then tell it to create

a post based around it so I can change

the instructions and edited around at

this point but we've completed our get

request so as you can see I've added in

some very basic instruction updates I

say before you create LinkedIn post

provide me with the following author

author here title Title Here url url

here then ask me which article would you

like to create a LinkedIn post around

that way I have a little bit more

control and it's a little bit more of a

process rather than just creating

articles and post right from the jump so

now I can go back and I can test this

again by hitting fetch articles now that

we have our get request set up since we

set up the instructions to contact the

get request once we say fetch articles

our conversation starters will be

working so I can hit fetch articles and

test this out again to see if it's

pulling in data how I want it to so as

you can see now it's coming back with

everything I asked for it's giving me

the author and then the title and the

title is actually in the form of a

hyperlink which is beautiful so now I

can actually click on these articles and

go to the source where they're coming

from and then it ask me which article

would you like to create a LinkedIn post

around I could just type out a number at

this point I could just say number three

for instance then it's actually going to

create that post around the article so

it's starting off with what if we could

design proteins to revolutionize

medicine and Beyond going a little bit

in depth and then having a CTA and then

it asks me the question would you like

me to send this as your LinkedIn post I

could say yes but we don't have that

action set up yet so if we go back to

our checklist we now have the ability to

check off the remaining things because

we've created our GPT action and we've

tested our GPT action we've grabbed test

data from the get request now what if we

actually want to send these LinkedIn

post well then we need to revise our

schema because our schema right now if

we go to our actions only has one method

of using the HTTP request which is get

right now so we only have one avail

action right here and that's to get web

hook data or in other words get our

feeds into our news articles from that

app what if we wanted to send this well

then we would need to add to our

Automation and we'd also need to revise

that schema in order to make it

available to have another method of HTTP

request and in order to edit this first

we need to have test data with our web

hook so we can dynamically map fields

and the web hook data needs to be the

LinkedIn post we need to figure out a

way to pull in Dynamic LinkedIn posts to

this web hook so we can do that very

simply first we can go to our schema

ninja GPT and type in a new prompt and

make sure you're staying in the same

chat thread for this so what I'm doing

here is I'm basically staying in the

same thread because we know that this

schema is working and this GPT is

designed to create schema that works so

what I can do very simply is add in

another http method to the schema that's

already working and that and it already

exists and then later we can change

around our automation after we send it

some test data but I say using this same

schema add in a poster request with the

get request I want this poster request

to be able to send my content to the web

hook the content in this case would be a

LinkedIn post help me revise the web

hook in order to be able to add another

HTTP method of post where I can send

information to my web hook in the form

of a post I keep reiterating in the form

of a post so at this step if you want to

not only get information into your GPT

but be able to post it elsewhere which

some people are fine with just pulling

in the information and then working with

it and then doing whatever with it later

a lot of the times that's the hardest

part is getting that information in but

we can actually revise our schema to add

a post action to do something else so I

can send this off I recommend just using

a similar prompt if you're trying to add

to your schema to get a post request

query but what it's going to do is it's

going to use the same URL it's going to

use your same web hook path except

underneath get it will have your entire

get operation and then it's going to go

into a post operation so we're going to

send a LinkedIn post to our web hook

very very cool it gives us our updated

schema so right away what we can do is

we can copy this updated schema that it

gives us go to our GPT and actually

paste it in but first you want to delete

your old schema which might be a little

scary but then you can paste in new and

what's going to happen is you're going

to see another method down here so now

we have the ability with our GPT to get

information and post information but as

you can see we have some required Fields

down here it says post title and post

content this is what we want our GPT to

format our information with we want a

post title and post content in order to

actually send these posts to our web

hook so now we need to go edit our

instructions to ensure that whenever it

creates a LinkedIn post it formats it in

this Json format and it actually with

our schema ninja gives us that format

that we need and it gives us

instructions for a poster request so

what I can do is I can just copy these

instructions head back to our GPT and

then go paste those instructions in our

instructions so I can leave these at the

very bottom and these are going to be

instructions for the Post request when

using this post request you'll need to

send a Json body that contains post

title I can put those in quotations and

post content Fields because you need a

structured way to send your data to your

web hook in order to be able to use that

data dynamically so that's why we're

doing it in Json format so underneath

these instructions for post request I

can then put that example Json body I

can say here is an example of how to

structure this data and I can go back to

the schema ninja and copy this code the

example Json body for post request and

if it didn't give this to you just ask

for this stuff and the schema ninja is

really good at doing that for you and

then I can paste it in beautiful we have

the structure of how this should look I

can then hit close and now we can go

test our post request to make sure it's

actually running so I can go to actions

and under available actions where it

says post I want to test this so I can

hit test on post and it will send an

example post to your automation on make

just so we have data to pull from when

we do create the rest of this automation

I can hit confirm and I can kind of run

through this process I'll just say

article three and then I can say post

and when I send that off it should

perform the action of the post method

and it says the LinkedIn post has

successfully been sent what I'm going to

do now is actually map this data to our

web hook and create a LinkedIn post

around it like physically create the

automation that we can use from the data

that we're receiving from our GPT here

so I'm going to unlink in between right

here and I want to have a router because

a router is going to allow us to go to

different methods so I can select router

and this is going to be the router to go

to our get request this will be a

fallback method and I'll explain what

that that means in a minute but now I

can add the Linked In and once I hit

LinkedIn I can just do create a user

text post and add that to the router so

now we have two different routes to go

the post request method and the get

request method in order to make sure

that it's filtering out correctly what

we need to do is set up a filter on our

post request we can select the wrench

hit set up a filter label this can just

be condition setting and then for

condition we can have meth

is equal to post and we can just make

equal to case insensitive and then I can

hit okay so now if it is a post it will

go here first and this will be a

fallback route we can set up this filter

in between the RSS feed and the router

to be a fallback route and this will be

the first condition it sees and checks

if it can go to next what you need to do

is you just need to hit send data again

this is just going to make sure that

your data is being sent in your test

feed and I just do this in order to make

sure the fields are pulling in because

sometimes when you go here and your

automation isn't saved when you try to

map in your content to the dynamic

fields in your web hook they won't pull

in so what you need to do if it's not

pulling in is save your Automation and

hit this little back arrow and then go

to your GPT where you've been testing

and just hit send data again and then

when you click back in here you should

be able to dynamically pull in that

content so now I can pull in post

content just like that so this would be

an example of setting up a post request

we need to be able to pull in

information dynamically from our web

hook that's coming from our GPT like

shown I can hit okay I can save this

Automation and now we can put this to

the test I'm going to go to my checklist

check off the post request again you

don't have to do a post request optional

depending on your Automation and then

what I can do is I can come to my GPT

now that all the testing is done in the

upper right hand corner I can hit create

and then I can make access invite only

and then I can hit update or I can

create it for the first time if that's

what you're doing then I can hit view

GPT next I can just walk through this

process and do it so I can hit fetch

articles then I can hit always allow on

that web hook because it needs

permission to talk to it and that's

going to give me all the recent articles

from my feed that I can create post

around based on the last 254 hours so

maybe I could say post number three and

send that off and now we have this

automated process to where I don't even

have to leave my GPT screen and it's

going to give me a post draft it's going

to give me this beautiful LinkedIn post

based on the article and I could say

revise it to attribute content to the

author at the end of the post you can

even revise these posts and you can

revise your content and chaty BT is

basically your assistant now you can ask

it to go get things for you then you can

ask it to post things for you so I'm

telling you to provide a link of the

article at the bottom instead of the

inspired by comment because I don't want

it to just say content inspired by I

want it to provide a link to where I am

uh getting these thoughts or these ideas

from so now it ask me would you like to

send this post to the web hook for

LinkedIn posting I can say yes

absolutely so as you can see I'll just

have to hit confirm really quick very

easy and then it's going to post that on

LinkedIn your LinkedIn post has been

successfully published it used the

information that it got from here very

quick and a very automated system as you

can see if I go on my LinkedIn and go to

posted just now I can click this and it

did post literally everything in a

matter of seconds just like that that's

how Innovative this is that's how

efficiency works within AI now if you

enjoyed this and you want to even become

more efficient then again I recommend

the AI foundations Community to anybody

I mean since just recording this video

we already have two new members in the

past hour people are joining in order to

leverage efficiency with AI and people

that are applying this stuff in their

business and their personal life are

succeeding with it there's so many

different Industries in here leveraging

artificial intelligence and you could be

one of them so if you want to learn more

cool things like this to save you hours

of your time using this technology of

the future then I don't want you to fall

behind and I want you to join the

community we have so much to offer there

live calls courses Etc in order to get

you from A to B but with that being said

I hope you enjoyed this Automation and I

hope it helped you if it did Please

Subscribe and like this video I will be

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in the next video