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 coming out with more content like this if you'd like me to go more in depth just let me know I be happy to answer your comments record more videos automate more things so I can help save you time with AI all right I'll see you in the next video