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chat GPT is amazing when it comes to
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automating tasks but only if you know
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how to use it right often times people
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are left copying and pasting stuff into
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chat GPT and outside of chat GPT and
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ultimately that wastes time so in this
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video I'm going to show you how you can
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stay in your GPT and pull in relevant
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information whether it be from WordPress
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Google Docs Google Sheets social media
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posts emails whatever it is you have the
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ability to stay in your GPT click a
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button and retrieve that information in
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seconds you also have the ability to
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send that information maybe you want to
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send an email maybe you want to update a
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row in your Google Sheets from your GPT
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without leaving your screen maybe you
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want to create a Google doc analyze a
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PDF whatever it is you have the ability
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to automate that and stay within your
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GPT the entire time and in this video
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I'm going to show you how it's done I'm
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going to be giving you so many resources
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I'm going to be giving you a
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step-by-step checklist and I'm just
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going to ultimately walk you through how
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to do this and how to see success when
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automating Tas ask in chat GPT listen AI
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should be saving you hours of your time
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right now if it's not then you're doing
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something wrong that's why the AI
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foundations Community was created it was
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created in order to enable you to be
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more efficient and more productive
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whether that be tasks in your personal
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life or tasks in your work life we show
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you the steps to get there if you want
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to learn how to leverage AI in your
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industry to become more efficient and
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more productive as a person then join
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this community using the link in the
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description or the top pend comment you
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will not regret it before we get into
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chat gbt and we start learning how to
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actually automate things let's
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understand real quick how it's working
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under the hood and some of the
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terminology I'm going to be using so the
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red line is representing getting
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information from an external application
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the blue line is representing performing
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actions on other applications okay so
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you start off in your GPT this is big
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chat GPT logo and you can either send a
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get or a post request a get request is
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the red line because you're getting
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information from other sources the post
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request is the Blue Line because you're
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posting information on other sources or
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to other sources so let me show you a
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quick example of a get request I might
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prompt to my GPT how many new emails do
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I have today and it will send that
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request to make and run through an
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automated Gmail process on make because
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it connects to Gmail and fetch my email
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contents and how many emails I have and
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the body content of those Etc and it
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might form back a response of you have
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five new emails an example of a post
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request might be me saying write a story
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about a dog and send it to my Google
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Docs when complete my GPT would take
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that request in the form of a post
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request which I'll show you how to set
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up contact make with the content that
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I've provided the story about the dog
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and send it to a new document within my
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Google database and what I've even
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provided for you is a step-by-step
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checklist down in the description that
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you can just follow along as we're doing
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this video together for everything you
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need I've even provided you a custom GPT
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for this system to help you when I'm not
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here to help on on the video so first
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you need to understand what you want
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automated and I'm sure you have some
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ideas right now uh even just by watching
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this first part of the video but let's
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say for me I don't have much time to
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create LinkedIn post but I read a lot of
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artificial intelligence news articles
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and I have specific websites I like
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going to so for me a good example of
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creating a GPT that is completely
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automated and post on LinkedIn for me
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would be step number one using a get
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request so I can aggregate all of my
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news articles and bring them back into
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chat GPT so that chat GPT can
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automatically create LinkedIn post for
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me based on the relevant content from
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the news feeds that I like so I'm
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pulling articles into my GPT creating
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posts using chat GPT that's why we would
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go to chat gbt for this and then I would
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send off those posts to my LinkedIn
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automatically that's what we're going to
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be building today so let's get right
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into it step number one what we need to
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do as you can see on our GPT automation
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checklist is we need to create our G PT
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so we need a name a description a
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profile picture instructions and
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conversation starters if you want a more
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in-depth guide on creating this version
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of your GPT like creating a very good
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GPT with amazing instructions I'll leave
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a link to that video in the upper right
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hand corner where I go much more in-
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depth on that so real quickly I'm going
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to create this GPT and then I'll report
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back to you once I'm done and kind of go
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through what I did what I'm going to do
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is in the upper right hand corner I'm
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going to go to my gpts and then I'm
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going to select create a GPT here I can
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give it a name description instructions
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conversation starters and a profile
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picture and again since I am automating
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my LinkedIn post I can give it a name of
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the LinkedIn master and then I can give
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a little description of what it does
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this is actually an image of the
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LinkedIn logo that I got generated for
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this on Gro which is another language
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model I can hit open and just like that
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we have a profile picture name
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description and now we need instructions
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and this is kind of going to be
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instructions for how your GPT needs to
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run all the actions you want it to
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complete and how it's going to contact
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your web hooks so for that I put you are
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a LinkedIn growth specialist now this is
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basics of prompt engineering if you
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don't know this yet then you definitely
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need to learn it before you get into
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fancy automations but I basically give
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it a roll and tell it its job I tell it
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what it's going to receive and then I
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say right here when I say fetch articles
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contact my web hook and get me the most
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recent articles on AI this is going to
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be a sendoff command to start the get
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request which is going to be important
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as you can see it says when I say fetch
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articles in order to make my job easier
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I can copy fetch articles and make a
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conversation starter so now I can hit
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this button and say fetch articles and
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it will automatically run through that
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process for me since I set it up like
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this in my instructions and then I
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basically tell it to receive the URL
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read the content and create a LinkedIn
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post and I give it a custom output
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format for each LinkedIn post now I can
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go back to our GPT automation checklist
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and step one is complete we have a name
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description profile picture instru
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instructions and conversation starters
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next this is where the real fun begins
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we need to create the connection in
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make.com by creating a web hook and
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creating our make.com Automation and a
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lot of the times it'll take 10 or 20
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minutes to create an automation but it
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will save you hours of time on the back
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end and I even give you a GPT to walk
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you through this step by step and it's
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right here in a link so it's called the
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schema ninja and I created this just for
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this video and what you have the ability
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to do is hit get request or post request
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and that will actually send off a set of
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instructions to the schema ninja in
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order to help you create that so if we
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go back to my instructions what you'll
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notice right now is I need to first set
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up a get request because right now I say
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when I say fetch articles get me the
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most recent articles on AI so how am I
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going to do that because I need to get
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that information back into chat GPT
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therefore it's a get request so I can go
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to my schema ninja and select get
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request and it's going to walk you
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through step byep what you need to do in
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order to create this request as you can
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see step one create a hook and make and
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then change it to these settings right
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here I even give example images for each
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step so you can see what I'm talking
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about as you're using this GPT but keep
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in mind I'm using a free make account
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for this okay I'm not using anything
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paid other than my GPT plus plan which
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I'm sure if you're watching this you
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might have right now what we want to do
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is we want to select create a new
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scenario and then follow the
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instructions from the schema ninja so I
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need to create a web hook and change my
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settings to get request headers yes and
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get HTTP method yes so so I can do that
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by once I create a new scenario this box
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will pop up I can type in web Hooks and
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then I want to select custom web hook
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and here you need to add a web hook so
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I'm going to hit add you can give it any
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name you want I'm going to name it
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posting for
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LinkedIn beautiful I'll hit show
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advanced settings and turn on these top
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two and then hit save then I can hit
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stop and okay beautiful so now we have
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the ability to contact this specific URL
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in order to start an automation that
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follows this we can start an automation
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by adding modules here and connecting to
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so many different apps like Facebook for
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example or Instagram and we have the
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ability to download Media get media we
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could contact notion and create database
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items we could contact Google Sheets for
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example and we can create rows we can
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create sheets create sheets from a
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template so as you can see there's
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multiple different things you can do
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after this web hook URL is contacted
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with our GPT which I'm going to show you
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how to set that up now so you can just
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keep walking through this we've created
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our web hook in our settings so I'll
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just say complete and it's going to keep
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giving you step-by-step instructions for
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what you need to do so now it says
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create your automation using make
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modules so the tool I use for
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aggregating my news articles is a tool
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called RSS doapp this allows me to
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create feeds and connect with
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information from multiple different
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sources I have articles pulling in from
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MIT news artificial intelligence news
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open AI research and Tech crunch so this
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URL Aggregates every new post that comes
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from those websites I can actually
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connect to that and make so once this
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web Hook is triggered I can type in RSS
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and then I can retrieve feed items from
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a specific feed that I create so I can
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put in my URL and then I can have a nice
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custom date from and date to most of you
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won't be needing this complex of a
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format for date from and date 2 but I
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just want to set this up so I can be
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receiving information from yesterday
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maximum number of returned items how
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many articles do I want coming in at
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once maybe I only want five I can hit
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okay and now I need to format this data
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so that it's ready to be put in a web
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hook response so I have this set up I'm
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pulling in the URL title and author I
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can hit okay and now I can aggregate
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this data in order to pull in each
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article CU right now it would only pull
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in one article so I have to make one
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text strand for all of them so I did
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that that was very very simple in the
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text aggregator side of things and many
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of you won't have to do this complex of
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tools in order to aggregate some
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information but next after we've created
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our automation we can take a look at
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everything we've done so we've created
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our web hook and now we need to finish
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creating our automation so we can do
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that by just talking to our schema and
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just some more I'm just going to say
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complete right there and now the next
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step after we have our automation done
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which is these three steps right here
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what we need to do now is create a web
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hook response and map our data so the
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web hook response is important because
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this is what your GPT is actually going
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to receive so if I go here and I select
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web hooks again and I select web hook
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response in this body field this is what
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information is going to be given to your
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GPT so I've set up this information in a
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way to where all I need to do is get my
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text from my array aggregator and if I
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have five articles then I need to make
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five responses of that array aggregator
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in the body of that web hook response
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but you can just put normal text in here
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too maybe you just want to put hey with
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a couple exclamation points this
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response will be received back in your
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GPT but when you're using these
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applications you actually have the
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ability to map specific data to your web
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hook response and this is where the
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dynamic ability of your automation comes
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in play here so I can hit okay beautiful
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now we have this automation pretty much
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all up and running we've created our web
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hook response just as the schema ninja
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has told us we have an example image
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here too now I can just say complete
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what do we do next now we need to create
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the schema for this get request so we
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can actually use chat gbt to pull in the
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information to our GPT here which in
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this case is the LinkedIn master so if I
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go back to the checklist actually what
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we've done is we've created our
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Automation and now we're on the step
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three which is creating our GPT action
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so we need to go back into our GPT that
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we've created and actually find a way to
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connect to this automation here so the
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schema ninja told us to create open AI
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schema for the get request take a
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screenshot shot of your web hook
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response body and upload it here or you
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can just give it the information it
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needs in order to create that schema so
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that it knows which information to pull
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for now I can just go to my tools here
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and I can paste in a screenshot of this
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information that I want chat gbt to be
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pulling in url title and author so we
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need to take a screenshot of the
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information we want pulled in or we can
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just tell it maybe I want article URL
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article author article content whatever
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it may be you can give it all that
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information that it needs in order to
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create the schema then you can tell it
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the goal which one and two kind of go
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together this is just to get an idea of
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how to create your schema for the get
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request and step number three it tells
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you to provide it with your make web
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hook URL that you created in the first
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module right here so this URL this blue
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URL under your web hook action so I'm
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just going to keep following this
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stepbystep process I'm going to upload
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my screenshot of the things that I
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wanted pulled in or again you could just
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tell it the things you want pulled in as
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well I just want to show you an example
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of this multimodality and then what you
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want to do is copy your web hook URL the
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entire thing and paste it in so I can
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say I've provided everything create my
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schema and send it off and it's
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automatically going to create your
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schema for you in the Json format that
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you need this is what you're going to
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paste in to the action section of your
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GPT this is that long string of text
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that is always very intimidating
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whenever you want to automate something
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so we we go back to our GPT now and we
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scroll all the way down to the bottom
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where it says actions down here we have
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the ability to hit create new action
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here we need to upload the schema that
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was just created by the schema ninja
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based on all the properties you want
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pulled in from your automation so I can
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copy this code head back to chat gbt and
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paste in the schema just like that we
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now have a get request with our specific
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path our operation ID and it's very
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beautiful so now we can even test this
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but before we test it we can just go
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back to our schema ninja and we can say
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complete now that we've uploaded this
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there was no errors nothing went wrong
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we have a beautiful action in here ready
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to go and this right here when we hit
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test is going to contact this web hook
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which will trigger the automation we
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just created and after it runs through
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this three-step process in the middle of
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the red modules what it will do is send
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back what it got from running through
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that process okay so I'm going to turn
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this on in the bottom left hand corner
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and then I'm going to hit save on my
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automation because once you hit complete
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in your schema ninja that's what it's
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going to tell you to do is to save and
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test your information then we can send
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off a test so I'm going to hit test and
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what it should do is pull in all the
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information that we're getting from my
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RSS feed which is an external app that I
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wanted connected so I'm going to hit
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always allow up here and it's going to
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talk to this web hook it's giving me the
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post now from my RSS feed Fe so this
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information is very custom because it's
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coming from my specific feed that I
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wanted in that external app and it's
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actually making LinkedIn post out of
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these right now so the data came in but
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maybe it didn't come in in the format
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you want or maybe it didn't come in in
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the exact way you wanted as long as you
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get response received with a status code
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of 200 then it means your automation is
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working you have the ability to change
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whatever comes after this web hook
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update your schema that you've created
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with the schema ninja and actually pull
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in whatever information you'd like based
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on this web hook URL as you can see
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though it's just giving me the post and
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it's not showing me the title author and
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URL first maybe first I want to actually
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read the article then tell it to create
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a post based around it so I can change
00:15:44
the instructions and edited around at
00:15:46
this point but we've completed our get
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request so as you can see I've added in
00:15:49
some very basic instruction updates I
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say before you create LinkedIn post
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provide me with the following author
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author here title Title Here url url
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here then ask me which article would you
00:16:00
like to create a LinkedIn post around
00:16:01
that way I have a little bit more
00:16:02
control and it's a little bit more of a
00:16:04
process rather than just creating
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articles and post right from the jump so
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now I can go back and I can test this
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again by hitting fetch articles now that
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we have our get request set up since we
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set up the instructions to contact the
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get request once we say fetch articles
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our conversation starters will be
00:16:20
working so I can hit fetch articles and
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test this out again to see if it's
00:16:23
pulling in data how I want it to so as
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you can see now it's coming back with
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everything I asked for it's giving me
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the author and then the title and the
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title is actually in the form of a
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hyperlink which is beautiful so now I
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can actually click on these articles and
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go to the source where they're coming
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from and then it ask me which article
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would you like to create a LinkedIn post
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around I could just type out a number at
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this point I could just say number three
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for instance then it's actually going to
00:16:46
create that post around the article so
00:16:48
it's starting off with what if we could
00:16:50
design proteins to revolutionize
00:16:52
medicine and Beyond going a little bit
00:16:54
in depth and then having a CTA and then
00:16:56
it asks me the question would you like
00:16:58
me to send this as your LinkedIn post I
00:17:00
could say yes but we don't have that
00:17:02
action set up yet so if we go back to
00:17:03
our checklist we now have the ability to
00:17:05
check off the remaining things because
00:17:07
we've created our GPT action and we've
00:17:09
tested our GPT action we've grabbed test
00:17:11
data from the get request now what if we
00:17:13
actually want to send these LinkedIn
00:17:15
post well then we need to revise our
00:17:17
schema because our schema right now if
00:17:19
we go to our actions only has one method
00:17:24
of using the HTTP request which is get
00:17:26
right now so we only have one avail
00:17:29
action right here and that's to get web
00:17:31
hook data or in other words get our
00:17:33
feeds into our news articles from that
00:17:36
app what if we wanted to send this well
00:17:38
then we would need to add to our
00:17:40
Automation and we'd also need to revise
00:17:44
that schema in order to make it
00:17:46
available to have another method of HTTP
00:17:49
request and in order to edit this first
00:17:51
we need to have test data with our web
00:17:53
hook so we can dynamically map fields
00:17:56
and the web hook data needs to be the
00:17:58
LinkedIn post we need to figure out a
00:18:00
way to pull in Dynamic LinkedIn posts to
00:18:02
this web hook so we can do that very
00:18:04
simply first we can go to our schema
00:18:08
ninja GPT and type in a new prompt and
00:18:11
make sure you're staying in the same
00:18:12
chat thread for this so what I'm doing
00:18:14
here is I'm basically staying in the
00:18:17
same thread because we know that this
00:18:19
schema is working and this GPT is
00:18:22
designed to create schema that works so
00:18:24
what I can do very simply is add in
00:18:27
another http method to the schema that's
00:18:30
already working and that and it already
00:18:32
exists and then later we can change
00:18:34
around our automation after we send it
00:18:35
some test data but I say using this same
00:18:38
schema add in a poster request with the
00:18:41
get request I want this poster request
00:18:42
to be able to send my content to the web
00:18:44
hook the content in this case would be a
00:18:46
LinkedIn post help me revise the web
00:18:48
hook in order to be able to add another
00:18:50
HTTP method of post where I can send
00:18:53
information to my web hook in the form
00:18:55
of a post I keep reiterating in the form
00:18:57
of a post so at this step if you want to
00:18:59
not only get information into your GPT
00:19:01
but be able to post it elsewhere which
00:19:03
some people are fine with just pulling
00:19:04
in the information and then working with
00:19:06
it and then doing whatever with it later
00:19:08
a lot of the times that's the hardest
00:19:09
part is getting that information in but
00:19:11
we can actually revise our schema to add
00:19:13
a post action to do something else so I
00:19:16
can send this off I recommend just using
00:19:18
a similar prompt if you're trying to add
00:19:20
to your schema to get a post request
00:19:22
query but what it's going to do is it's
00:19:24
going to use the same URL it's going to
00:19:26
use your same web hook path except
00:19:28
underneath get it will have your entire
00:19:31
get operation and then it's going to go
00:19:33
into a post operation so we're going to
00:19:35
send a LinkedIn post to our web hook
00:19:38
very very cool it gives us our updated
00:19:40
schema so right away what we can do is
00:19:42
we can copy this updated schema that it
00:19:44
gives us go to our GPT and actually
00:19:47
paste it in but first you want to delete
00:19:49
your old schema which might be a little
00:19:51
scary but then you can paste in new and
00:19:54
what's going to happen is you're going
00:19:55
to see another method down here so now
00:19:57
we have the ability with our GPT to get
00:19:59
information and post information but as
00:20:01
you can see we have some required Fields
00:20:03
down here it says post title and post
00:20:05
content this is what we want our GPT to
00:20:07
format our information with we want a
00:20:10
post title and post content in order to
00:20:12
actually send these posts to our web
00:20:15
hook so now we need to go edit our
00:20:17
instructions to ensure that whenever it
00:20:19
creates a LinkedIn post it formats it in
00:20:21
this Json format and it actually with
00:20:23
our schema ninja gives us that format
00:20:25
that we need and it gives us
00:20:27
instructions for a poster request so
00:20:29
what I can do is I can just copy these
00:20:31
instructions head back to our GPT and
00:20:34
then go paste those instructions in our
00:20:37
instructions so I can leave these at the
00:20:39
very bottom and these are going to be
00:20:41
instructions for the Post request when
00:20:43
using this post request you'll need to
00:20:44
send a Json body that contains post
00:20:47
title I can put those in quotations and
00:20:50
post content Fields because you need a
00:20:52
structured way to send your data to your
00:20:54
web hook in order to be able to use that
00:20:56
data dynamically so that's why we're
00:20:58
doing it in Json format so underneath
00:21:00
these instructions for post request I
00:21:02
can then put that example Json body I
00:21:04
can say here is an example of how to
00:21:08
structure this data and I can go back to
00:21:11
the schema ninja and copy this code the
00:21:14
example Json body for post request and
00:21:15
if it didn't give this to you just ask
00:21:17
for this stuff and the schema ninja is
00:21:19
really good at doing that for you and
00:21:21
then I can paste it in beautiful we have
00:21:23
the structure of how this should look I
00:21:25
can then hit close and now we can go
00:21:27
test our post request to make sure it's
00:21:29
actually running so I can go to actions
00:21:31
and under available actions where it
00:21:33
says post I want to test this so I can
00:21:36
hit test on post and it will send an
00:21:39
example post to your automation on make
00:21:42
just so we have data to pull from when
00:21:44
we do create the rest of this automation
00:21:46
I can hit confirm and I can kind of run
00:21:49
through this process I'll just say
00:21:50
article three and then I can say post
00:21:53
and when I send that off it should
00:21:54
perform the action of the post method
00:21:57
and it says the LinkedIn post has
00:21:58
successfully been sent what I'm going to
00:22:00
do now is actually map this data to our
00:22:02
web hook and create a LinkedIn post
00:22:04
around it like physically create the
00:22:06
automation that we can use from the data
00:22:09
that we're receiving from our GPT here
00:22:12
so I'm going to unlink in between right
00:22:15
here and I want to have a router because
00:22:18
a router is going to allow us to go to
00:22:21
different methods so I can select router
00:22:23
and this is going to be the router to go
00:22:25
to our get request this will be a
00:22:26
fallback method and I'll explain what
00:22:28
that that means in a minute but now I
00:22:29
can add the Linked In and once I hit
00:22:33
LinkedIn I can just do create a user
00:22:35
text post and add that to the router so
00:22:37
now we have two different routes to go
00:22:39
the post request method and the get
00:22:40
request method in order to make sure
00:22:42
that it's filtering out correctly what
00:22:45
we need to do is set up a filter on our
00:22:47
post request we can select the wrench
00:22:50
hit set up a filter label this can just
00:22:52
be condition setting and then for
00:22:56
condition we can have meth
00:22:58
is equal to post and we can just make
00:23:02
equal to case insensitive and then I can
00:23:04
hit okay so now if it is a post it will
00:23:08
go here first and this will be a
00:23:10
fallback route we can set up this filter
00:23:12
in between the RSS feed and the router
00:23:14
to be a fallback route and this will be
00:23:17
the first condition it sees and checks
00:23:19
if it can go to next what you need to do
00:23:21
is you just need to hit send data again
00:23:23
this is just going to make sure that
00:23:24
your data is being sent in your test
00:23:26
feed and I just do this in order to make
00:23:28
sure the fields are pulling in because
00:23:30
sometimes when you go here and your
00:23:32
automation isn't saved when you try to
00:23:34
map in your content to the dynamic
00:23:36
fields in your web hook they won't pull
00:23:38
in so what you need to do if it's not
00:23:40
pulling in is save your Automation and
00:23:42
hit this little back arrow and then go
00:23:44
to your GPT where you've been testing
00:23:46
and just hit send data again and then
00:23:48
when you click back in here you should
00:23:50
be able to dynamically pull in that
00:23:52
content so now I can pull in post
00:23:54
content just like that so this would be
00:23:56
an example of setting up a post request
00:23:58
we need to be able to pull in
00:24:00
information dynamically from our web
00:24:02
hook that's coming from our GPT like
00:24:03
shown I can hit okay I can save this
00:24:06
Automation and now we can put this to
00:24:07
the test I'm going to go to my checklist
00:24:10
check off the post request again you
00:24:12
don't have to do a post request optional
00:24:14
depending on your Automation and then
00:24:15
what I can do is I can come to my GPT
00:24:17
now that all the testing is done in the
00:24:18
upper right hand corner I can hit create
00:24:21
and then I can make access invite only
00:24:24
and then I can hit update or I can
00:24:25
create it for the first time if that's
00:24:27
what you're doing then I can hit view
00:24:29
GPT next I can just walk through this
00:24:31
process and do it so I can hit fetch
00:24:33
articles then I can hit always allow on
00:24:35
that web hook because it needs
00:24:36
permission to talk to it and that's
00:24:38
going to give me all the recent articles
00:24:40
from my feed that I can create post
00:24:42
around based on the last 254 hours so
00:24:45
maybe I could say post number three and
00:24:48
send that off and now we have this
00:24:50
automated process to where I don't even
00:24:51
have to leave my GPT screen and it's
00:24:53
going to give me a post draft it's going
00:24:55
to give me this beautiful LinkedIn post
00:24:57
based on the article and I could say
00:25:00
revise it to attribute content to the
00:25:04
author at the end of the post you can
00:25:07
even revise these posts and you can
00:25:09
revise your content and chaty BT is
00:25:11
basically your assistant now you can ask
00:25:13
it to go get things for you then you can
00:25:14
ask it to post things for you so I'm
00:25:16
telling you to provide a link of the
00:25:17
article at the bottom instead of the
00:25:19
inspired by comment because I don't want
00:25:20
it to just say content inspired by I
00:25:22
want it to provide a link to where I am
00:25:24
uh getting these thoughts or these ideas
00:25:26
from so now it ask me would you like to
00:25:28
send this post to the web hook for
00:25:29
LinkedIn posting I can say yes
00:25:32
absolutely so as you can see I'll just
00:25:33
have to hit confirm really quick very
00:25:35
easy and then it's going to post that on
00:25:37
LinkedIn your LinkedIn post has been
00:25:39
successfully published it used the
00:25:41
information that it got from here very
00:25:43
quick and a very automated system as you
00:25:45
can see if I go on my LinkedIn and go to
00:25:48
posted just now I can click this and it
00:25:50
did post literally everything in a
00:25:53
matter of seconds just like that that's
00:25:55
how Innovative this is that's how
00:25:57
efficiency works within AI now if you
00:26:00
enjoyed this and you want to even become
00:26:02
more efficient then again I recommend
00:26:04
the AI foundations Community to anybody
00:26:07
I mean since just recording this video
00:26:09
we already have two new members in the
00:26:10
past hour people are joining in order to
00:26:12
leverage efficiency with AI and people
00:26:14
that are applying this stuff in their
00:26:16
business and their personal life are
00:26:17
succeeding with it there's so many
00:26:19
different Industries in here leveraging
00:26:20
artificial intelligence and you could be
00:26:22
one of them so if you want to learn more
00:26:24
cool things like this to save you hours
00:26:25
of your time using this technology of
00:26:27
the future then I don't want you to fall
00:26:29
behind and I want you to join the
00:26:30
community we have so much to offer there
00:26:32
live calls courses Etc in order to get
00:26:35
you from A to B but with that being said
00:26:36
I hope you enjoyed this Automation and I
00:26:38
hope it helped you if it did Please
00:26:39
Subscribe and like this video I will be
00:26:41
coming out with more content like this
00:26:43
if you'd like me to go more in depth
00:26:44
just let me know I be happy to answer
00:26:47
your comments record more videos
00:26:49
automate more things so I can help save
00:26:50
you time with AI all right I'll see you
00:26:53
in the next video
