**Creating a Lead Generation Chatbot on Instagram Using GPT Technology**

In this tutorial, I'll guide you through the process of creating a lead generation chatbot on Instagram using your GPT technology. This is an additional field for the lead capture function that can pull out questions from the transcript of the conversation and add them to this field when capturing the lead.

The salesperson can look at the questions column and see what the person was worried about, whether it's price or features or team, etc. This is not something I've included in this build but it is possible if you want me to make a video breaking down how you can get all transcripts from your assistants from say Instagram deployment from website deployments anywhere you want it.

We can pull those and centralize them somewhere so if you want me to do a video on it, please let me know in the comments below. I've had some requests already but please let me know, and I'll make sure I get that out as soon as possible.

As mentioned in my last video, there's repet application is not properly deployed; it's not production grade, and production ready just allows you to spin it up and see how it works quickly. If you do want me to do a video breaking down how you can actually do a live production-grade deployment of one of these applications using repet or other services, let me know in the comments.

Because I can make that video too if you've got this far, congratulations! This is definitely one of the tougher tutorials I've done, and there's definitely a lot more complexity that I've had to work into this to get it working on Instagram which is just really the nature of the platform right now.

So, I hope You've been able to follow along and get as much out of this as possible. If you have enjoyed, please hit down below and leave a like; I put a lot of work into this thing, and it's actually been delayed a bit just by the amount of issues that I've had with trying to get a way that works for you guys as easy as possible.

So, many of you are going to take this and be able to do some awesome stuff with it. Um, I hope the use case is a little bit different from the solar one that I've talked about a lot; I wanted to show you how this can be used for more educational products or coaching offers and things like this.

And not only handle questions and sort of customer support but also go for lead capture and things like this. To create a lead generation chatbot on Instagram using your GPT technology, and of course, while you're down there, you can subscribe to the channel if you haven't already.

This is kind of all we talk about on the channel - AI business how to sell AI solutions so if you want to stay in the loop on how I'm attacking this GPTs opportunity and how you can best take advantage but to make your business better or to sell better things to your clients, be sure to subscribe to the channel.

Because I have a ton of really cool stuff coming - I have a sort of Mastery GPT development guide that takes you through all of this and Beyond just a little tutorial like this; it's really a comprehensive look at how you can Master building these things so that you can really unlock the value of this new technology.

If you don't want to miss that and any other future uploads, you can subscribe down below. But if you want to learn how to create your own AI automation agency and Sell Solutions just like this to businesses then you can join the biggest community of AI agency owners in the world who are already moving on this opportunity.

You can also join my free telegram down below; if you want daily updates on my learnings and the things that I'm doing with these GPTs and how I'm selling them as well as always all of the resources mentioned in this video will be available on my resource hub for you to download and steal and build and sell and do whatever you want to do with.

If you enjoyed this video, and also want to know how you can put your GPTs on websites, you can check out this video here where I go to depth on it. But aside from that, thank you so much for watching, and I'll see you in the next one!

WEBVTTKind: captionsLanguage: enin this video I'll be showing you step by- step the fastest way to connect your custom gpts to Instagram to completely automate your DMs I'm making this video today because Instagram can be an incredibly powerful sales Channel when used right and by connecting your gpts to Instagram you can completely automate key tasks like customer support and lead generation for your business or for your clients the issue is that connecting AI assistance to Instagram DMS can be an extremely painful process and something that I've had constant issues with over the past couple of months so I wanted to create a video to walk you through the easiest method that I've found so that you can get things set up and avoid the mistakes that I've made at this point in the video I would normally give you a big explanation of what we're building but I think it's easier if I just show you the finished product so we're going to get a live demo here of exactly what we're building in this case I'm using the testing keyword it's going to trigger the automation that I've set up within mini chat which you'll see in a second so in this case I've got some stories up of me and Dubai if you're not already following my Instagram it's going to be available somewhere here you get to see bit the behind the scenes of my life and some of the stuff I get to off camera um but in this case I've got some stories up and I can reply to it of testing and it's going to trigger the Automation and you should see a pop up at the top there we go so it says Hey Liam what would you like to know about the accelerator in this case it's pulling the first name from my account so if your name was Sandy or Smith that would be using that name as the first name um but because this account name is Liam it's going to use Liam what would you like to know about the accelerator would be happy to help um who is the owner so we can start asking some questions in this case it's going to be taking the question that I send there it's going to be sending it to mini chat and then mini chat is going to be talking to our repet back end which you're going to see all the code in a second and I've templated it all so you can just copy it and follow the steps I'm about to show you and you'll be able to get it up and writing so in this case let come back Thea accelerator program is Liam mle it's designed to help individuals establish a profitable and scalable AI business 90 days is there any specific information you like to know about the program um how how much do the plans cost the AAA accelerator offers two membership tiers standard plan which is $97 monthly Premium plan which is 197 which is currently sold out and so I can keep asking questions about the program I can ask it what are all the benefits what do I get out of it Etc what are the benefits on the standard plan for 97 what do I get you get access to over 15 live workshops a month you get 24 assistant from aam you get exclusive tools accountability groups vets Community templates all the good stuff so what we can say now is to try initiate the lead capture if I say I'd like to join great to here I'll need your full name and phone number including your country code to get started so so this is going for the lead capture now I can say my name is um Bruce Wayne um plus 971 5 2 7 7 8 there we go I can send that information it's going to pull out the name and it's going to pull out the phone number and it's going to send that off to air table to log that lead so that our sales team can follow up with them so that's the that's the build that's what we're going to be creating here you can easily modify this by changing out the knowledge base as you'll see in the steps that are coming in a second and you can also change the CRM from Air table to whatever you want but you'll be able to take the template modified as you need and I'll be walking you through step by step the most valuable part of this is going to be the mini chat template that I'm going to give you which took me like an entire day to create because there's so much so many issues that I have with it due to timeouts and stuff like this which we go into in a sec we have a ton of stuff to get through so let's get into it to achieve the functionality that we just saw we're going to need of course the assistance API from open AI we're going to need a repet to host that code then we're going to call our rep code from mini chat and I will mention it again if you haven't seen any of my other videos but we have the two sort of sides of this gpts release which is firstly the gpts on the chat GPT site where you can create them and sort of go through them and use them use them on the browser and things like this and then we have the assistance API which is really the the meat and potatoes and how this thing is going to be used and rolled out to businesses and to real world applications so while gpts are fun and all and they're cool to create around and sort of share around with people most of the value is going to be created with this assistant API so you can deploy your gpts and your your setups essentially to different channels in this case we're going for an Instagram deployment and using the GPT technology for that on my prior videos we've done website deployment so if you want to check out how to put these on a website rather than on Instagram you can do the exact same process but put it onto a website watching the video that's up here I've got a couple of them now but this is the best one to start with okay so to get started with this build you first need to get access to my repet as always this is going to be available in the first link in the description you can go to my resource Hub sign up for free and it's going to be at the bottom of the list in the left panel you can click on it there'll be a link that will take you to this ret and you should be greeted with a screen like this first step is to go to the fork button on the right we can click Fork here and we can call it I'm just going to put a fork at the end and then I can Fork the tripple give it a second to boot up then you should be greeted with something like this for those of you who don't know how to code don't freak out you don't need to change any of this really and there's only a couple parts that I'll walk you through the process of and that's mainly around API key so I build this in a way that it's all ready to go out of the box I'll just take you through a bit of a breakdown of how this is different from some of my other tutorials and the way that I've had to modify this so that it works with the Instagram deployment this actually took me quite a while to get working because there's limitations of Min chat which I'll go into later um but we can start off where they breakdown of the main. pi file which is where all the all the action is happening when we're actually interacting with this application similar to the other builds that I've done firstly we have the SL start endpoint which is going to start the conversation whenever we start a conversation within mini chat a new person interact with my story they hit that trigger it's going to call this mpo the/ start and it's going to create a new thread we're going to give that thread back to our mini application so here we are giving the thread ID back and then when the user actually asks their question it's going to be sent to this chat inpo and that chat inpo is going to grab the thread ID and the message then let's go to start a run what's called a run in the new open AI documentation and the way that they've set up the assistant API so you have what's called a run and in this particular build we have split the chat endpoint between this chat one and then the second one called check now the reason we've done that is because of the Timeout on Mini chat is 10 seconds and when I was testing this before I wasn't able to get responses on Mini chat because it was running over that 10-second timeout when I was making the API Co so we've had to split it into these two different parts this chat endpoint is just going to create the run and sort of send our information and what we need to do up to the open AI servers and it's going to be like okay that's what we want now give us a couple seconds and we'll wait for it to come back and the way we actually grab the response from that endpoint and we've called the open AI API to give us our response then we go down to this check in point we're going to be periodically checking in to see if our process our our operation has been completed and if it has been completed then we can pluck it out and send it back to the user so might sound a bit complicated but in this case it's going to make a lot more sense when we get into the mini chat side of thing so bear with me next I'll take you to the functions. pi file this is where a lot of the the core functionality is happening um in this case we have the lead capture so this is a air table lead capture we going to be replacing this URL with a new one um as you set it up on your end we have API Keys which we'll be setting up in a second this is the logic for creating a new lead in the air table as I mentioned and this is the create assistant function which is really the main bit that you need to wrap your head around before going out and trying this on your own so the create assistant function is because when you're trying to create a new GPT programmatically in this case we're not using the GPT Builder we are creating our own programmatically we need to give the instructions or the ingredients to the open AI API to create our new assistant so in this case we have of course the knowledge component which is going to be a document here on the left called knowledge. dox then we have the instructions which are going to be in the prompts dop file which we show you in a second then we have the functions which is set up here so I'll show you how to change each of these around so that you can modify this so that you can create your own gpts for your own use case so in this case we have the file here which is going to be the knowledge based document if you want to change the knowledge base to your own document you need to delete the knowledge based document on the left here and then click upload file here upload a new file and then you need to change the name of this file here from knowledge. do to whatever it is in the left panel so name here should match the name of the document on the left hand panel next if you want to change the promp thing or the instruction for your gbt it's going to be stored in this variable here so the assistent instructions is imported from our prompt. piy file which is over on the left here so if you want to change the promp thing or the instructions for your GPT click on the prompt stop High file on the left I've taken this out because it doesn't look very clean to have this massive amount of text sort of stuffed into your functions of P file so I've moved it out to here so you can go in and modify this as you like and any changes that you make here are going to be automatically pulled in to this create assistant function when you create it to to reiterate we have the knowledge component here which we can change we have the prompting component here which we can change via the prompts dop file and then finally we have the tools section uh now the tools and order to be able to use I should have mentioned this in some of my other videos so thank you for those of you who pointed it out but the model here that we're calling the GPT 4 preview you actually need to have a card put on your open AI account and you need to add some credit to your account if you haven't yet done that going to need that which will show you in a sec but in order to be able to access this new model which is able to use GPT the much larger GPT 4 which is faster and and better in a number of ways we need to do that step so just to be clear some of you had issues with that last time that is the reason why and I'm going to be showing you in a second how to fix that so when it comes to tools this is the more difficult part to change around I will be completely honest but just to walk you through it firstly we have the retrieval tool here this is the knowledge base as you can see I put a lot of comments throughout all this document so if you get stuck you have a question about something not working or you want to know how to modify things take a look at these green comments and you'll get a much better idea of how this application is set up so we have the retrieval tool which is the knowledge base this needs to be on for it to be able to access that knowledge document then secondly we have just one function here which is the lead capture the lead capture in this case is using the create lead function which is up here it's referencing that name then we get to the two parameters required to call this function firstly we have the name which is obviously the full name of the lead and then we have the phone which is the phone number of the lead including the country code it's important to know that to operate this application when you have the three different ingredients you have your knowledge base your instructions then these and then the tooling here as well when you go to create an assistant when we run this app up here for the first time it's going to look on this left panel and see if there's an assistant. Json file in this case you can see that we don't have one so it's going to follow this and say okay if there is an assistant. Json file let's load that but if there is not then let's go through the creation process and then create a new file down here so this is our way of of not duplicating and making a ton of different assistants when we don't need it you're going to be charged API usage by how many assistants that you have up especially if you're putting a lot of knowledge in them you get charged by the the amount of storage that you're taking out with your documents as well so in this case it's only going to create a new assistant when there isn't one already in the side file and this also means if you've already run the app once and you have a assistant. Json file on the side panel here if you want to modify the knowledge the prompting or the tools then you need to delete that file and then run the app again it will recreate your assistant. Json file with a new set of settings okay and with that orientation out of the way we can get into modifying the very few parts of the code that we actually need to change in order for it to work on your system firstly we have our open AI API key pretty straightforward one you can go to platform. open a.com then on the left panel here you'll have an API key section and you can click here and create a new secret key it's going to pop up with a a key that you can copy and you can copy that you can take it back over to reflet here then you need to go to the secret section down the bottom left we can delete this Google Cloud API key cuz that's not needed for this one um but in this case we have open AI API key you can edit this and then you can paste yours in and then update the secret and as I mentioned before in order to make sure that you get access to these newer models that we need to make this app run on the left hand panel here you can click on settings and then billing you can add a payment method and then you can click on this buy credits button and put 5 to10 in so that you have full access and permissions to use all of the latest models next we need to set up our air table and get our air table API key so in this case you'll be going to the resource Hub again which is in the first link of the description you can sign up to there and then on the resource Hub there'll be a link to firstly sign up to air table if you haven't already and there'll also be another link for you to be able to clone my air table base here so when you click on that link it should look like this in this case we have these two tabs here this is just going to be the accelerator lead is what we're looking for and you should have this button up here that says copy base so when you click that it should clone it over to your account and look a bit like this so just to take you through quickly we have the the names of the leads we have the phone numbers and we have the questions and a status so the main ones that we're going to be dealing with within this app are the name and the phone number I'll talk a little bit more about these questions at the end once you see it live once you have this base created we need to get our API Key by going to the right panel here clicking on this little uh profile icon then going to the developer Hub then you'll be on this page where you can create API key so you can click create new token you can call it uh Instagram lead genin bot you can go to Scopes and click right and we'll give it read as well and access you need to scroll down to your Smith solo CRM and you can click the create token button and it should pop up with an API key that you can copy so you want to copy that and then head back to repet and in the same way we just did with the open AI key you can click on the three dots to the right of your air table API key and if you haven't found Secrets it's in the bottom left here click on that and this should appear and you can edit again copy all of this and paste or delete all of this and put your API key in inste and update secret and then one final thing that we need to do is go back to our air table developers page and then click on this web API documentation on the left then you need to scroll down to the bottom and click on the Smith solar CRM and then can click on the accelerator leads table and then click on create records then you need to take this URL here copy all of that from https all the way to the end of leads copy that head back to repet and go to the create leads function in the functions. py file and then just copy Within delete within the quotations there and then paste in that URL so mine's the same so it doesn't need to change obviously but yours will have changed a little bit with this little section here and with all of those changes made we are ready to run our application for the first time we need to click this big green button up the top and on the left pan panel you'll see that we'll get our assistant. Json file created because now it's going to create an entirely new assistant based off our settings inside our create assistant function so the settings we have here with the knowledge base with the prompting and the tools it's going to sort of smoos that all together and create this assistant. Json file and all it has in here is this so yours will be a little bit different but this is what we're going to be reloading it from so if I stop it and restart it it's going to this time read from this file and pull in that and save that as the variable in our main function if all has gone well you should see something similar to this in the bottom right corner and you'll also see a web view that's popped up here saying not found it's not an issue we can click on this new tab button in the corner and it's going to open up a new tab for us here this is the URL that we're going to be calling within Min chat to get access access to all of the functionality that we have in our main.py file so our start chat and check endpoints that we can access by mini chat with that all of and running correctly now we can get onto the mini chat side of things I've created a template for you that you can just plug and play and change a couple URLs so if you want to get access to that again you can sign up with the first link in the description then you can get access to the mini chat template when you click on it it should look like this when you get on screen if you don't already have an account for Min chat you'll need to click on the sign up button then it allow you to log in with Facebook and you can go through the whole setup in this case you want to click on Instagram and go through the process this can be a little bit tricky so I've actually got a a recommended tutorial from someone else when I had a bunch of issues with getting this set up earlier today I walked me through some of the basic setup for creating a Facebook page and linking it and the right way so that it works so there's a lot of moving Parts when it comes to your Facebook pages and accounts and your profiles and all these different things so I don't want to try and drag this thing out to be 40 minutes long so there's like a 3 or four minute tutorial where the guy explains it really well that'll be linked down below if you haven't got an account I'd watch that so you can set up firstly your Facebook faceb page and then connect that to your Instagram account so that everything's all tied up there then you can come back here all signed in and ready to go once you've signed in to mini chat you can come back to this page and again click on save to mini chat and it's going to this time loaded into your account so I can click on Save flow here for the account that I've set up view flow and just like that you have imported the template that I spent hours working on today to get working for you all so this is going to save you a ton of time I'll walk through it briefly now and we'll be updating what we need to along the way to save time starting off we have a trigger if you're familiar with these automation platforms you'll know that triggers are how things start off in this case we are using a story reply trigger that I have set up on the keyword testing I'm actually going to change this to test two so you know that I'm actually testing the one that I built in front of you this is set up to be listing on all stories when a reply contains specific words or reaction in this case the test two word is going to be what it's looking for if that trigger is hit then it goes to the first step in our application which is to create a thread creating a thread is the first step in our application and this calls the Slash so this is creating a new thread under your assistant that's essentially the start of a new conversation or a new bucket of chat history that we're going to be tracking the conversation for in this case we can grab our URL from the repet not found page copy this head back to mini chat and we need to replace this URL up to the start point with our URL so M should just pop and Fork there make sure you don't have two for slashes like that so it should just be your URL and then SL start if we go through here yeah not much you need to worry about here we're saving the thread ID into a custom field code thread ID don't touch any of this here just leave it with all the numbers included by this point we've created a thread and now we can say hey first name what would you like to know about the accelerator I'd be happy to help and then we are going to be listening for a response so this is a a free keyboard input so it's just waiting for them to send something through what we're doing is saving that to the variable called last reply which is what we're going to send off to our next endpoint in order to start the process of generating a result so we send that off to this first step which is just a clear AI output field just to make sure that the variable is empty don't need to worry about that too much the key point is that after that we go to the start run step now here we are doing the same thing with the URL again you need to paste in your URL and have the entire URL and then slash chat this time so again first one will start this time it's chat next one will be check and these will correspond to the different endpoints that we've set up in our application so they start creates a new thread starts the conversation the chat endpoint starts the Run sends off the information to openai to start processing the answer and then the final one which we're about to see in a second is what checks it and Returns the answer so going back to Min chat you can leave these as they are but just to give you an idea we are sending away to our chat endpoint to start the processing the thread ID and the message from the user which we are getting from earlier where we created the thread ID we've saved that and we're referencing it here and the message which we are pulling from the last reply that we just got from the user we're sending that off and what this returns to us is a run run ID now this run ID is what we need to be able to check the status of the sort of order that we've sent off to open AI now that we have created the thread we've got the users input we've sent that off and said can you work on this for us now we can periodically check back in to see the status of that response and we do that via our run ID run ID is already set up here and then we pass that run ID to our final endpoint which is of course the check endpoint which is checking the status of the Run make sure you have your url here/ check in the body of this request we sending away the thread ID and the Run ID to check the status of that run and the response that we should be getting back here is the answer to the user's question so this is the final output that we do present to the user and send within the Instagram DMS and this part here is probably the most difficult but to understand but this is how we are allowing it to Loop through as I mentioned before mini chat has a 10c uh cut off a Timeout on the API request so the issue I was having here is that when I was trying to create this earlier today I kept running into this issue of it would answer the shorter questions but then whenever I asked for a longer response it would just completely blank and wouldn't send anything and after a lot of searching around I eventually figured out that there is a 10 second Timeout on this and unfortunately a lot of the stuff that we do particularly with function calling and and knowledge bases can take longer than 10 seconds to get back to us the way that we get around this timeout is this conditional block here in which if the check end point returns timeout then we're going to loop back around and try it again so if you look back at our code we have this check Endo here and it has a timer of 9 seconds so it's going to check the status of the run over and over and over again which you'll see in the bottom right here in a second it's going to be printing out run and progress run and progress run in progress run in progress and then when it's complete it's going to send it off but if the run is still in progress and by the time it gets to the end of that 9 seconds it's going to send back a timeout and say hey look we've run out of time then we're going to try it again and check how much longer so this will make more sense when you see it in action in a second but it does work and I'm very happy that I was able to get this working for you all and then we have an error handling step where if the AI outputs some kind of error we're just going to assign it to a human to to handle the conversation and the final part of this conditional check is that if there isn't a timer as in we don't have to keep waiting for a response and there isn't an error then we can go down and send the final AI output that we get back from the check inpoint and we can send it to the user and await their next input this final step here is printing out the AI output and we're also at the same time expecting input from them and saving it to last reply and with that last reply we can Loop right back up to here and then go through the whole process again I'm saying okay now we have a new user input let's firstly send it off to the chat endpoint get that cooking away and the open a servers then we can check into it over and over and over again until it comes back as a complete response I think that's enough talking we are ready to get this thing tested I just want to do one final check and you guys should all make sure you do this that we have updated the URLs for all of them so Instagram accelerator ass for/ start yep that's correct go here slash chat yep that's the second one and then SL check yep we are all good to go here now I can click the update button here and I'm ready to give it a test on the phone we're on the phone here and I can pull up my story and I can say test to send that we should get an automated message any second yep there we go hey Liam what would you like to know about the accelerator would be happy to help um what coaching do you offer now I do want to pull up on the other side the repet back end so so it's handy to watch it as I send this we should see things pop up like it start to thread checking for status and progress and progress and progress so you can see the debug here the way that I've set it up it's going to be printing out and giving you updates very constantly on how things up oh there we go you can see here in the console that it's been checking for the status of the run and it's been in progress and progress and progress and when it gets to the end of that 9-second period it goes okay I need to send a timeout response and then we need to try loop back again and continue to check in this case it's timed out once then it started the next Loop and then immediately found that the response was ready and then we sent it in this case we have it on our phone here personalized assistance regular one-on ones exclusive resources Etc Great and then we can try to get a lead capture going here so I'm ready to start and again watching the console here in progress in progress in progress completed and boom it sends it through now we need a full name and phone uh um P to Parker like a jacket and that should ask for my phone number as well sure I'll give you my phone number now it should go for a lead capture here requir action action and process lead created success F checking run status and progress and progress completed and it sends it back and now we should pull up our air table here we should have Peter Parker there we go we've got two of them and that's the builds we can continue to ask questions here and going through and learning more about the product but we have done the lead capture I think it will allow us to do another lead capture even but in this case we've gotten what we wanted out of it they've been able to ask questions make a decision and we've captured the lead that we can send to the sales team and they can follow up on there is this column here of question that I was going to include but it made it a little bit more complex and I think many chat has already made this as complex as it needs to be but this questions column was intended to be a an additional field for the lead capture function which can pull out of the thread out of the transcript of the conversation it can pull some of the questions that the user ask and add them to this field when you capture the lead so that the sales person can look at the questions column and go okay this person was worried about price or this person was worried about the features or or the team Etc that's not something I've included in this build but it is possible if you guys want me to make a video breaking down how you can get all of the transcripts from your assistants from say your Instagram deployment from your website deployments anywhere you want it we can be pulling those and centralizing them somewhere so if you want me to do a video on it I have had some requests already but please let me know in the comments below and I'll I'll make sure I get that out as soon as possible as I mentioned in my last video there's repet application is not properly deployed it's not production grade and production read this just allows you to spin it up and see how it works quickly if you do want me to do a video breaking down how you can actually do a live production grade deployment of one of these applications using repet or other ser Services also let me know in the comments because I can make that video too if you've got this far congratulations this is definitely one of the tougher tutorials I've done and there's definitely a lot more complexity that I've had to to work into this to get it working on Instagram which is just really the nature of the platform right now so I hope You' been able to follow along and get as much out of this as possible if you have enjoyed please hit down below and leave a like I put a timeon of work into this thing it's actually been delayed a bit just by the amount of issues that I've had with trying to get a way that works for you guys as easy as possible so I'm sure many of you going to take this and be able to do some awesome stuff with it um I hope the use case is a little bit different from the solar one that I've I've talked about a lot I wanted to show you how this can be used for more educational products or coaching offers and things like this and not only handle questions and sort of customer support but also go for lead capture and things like this to create a lead generation chatbot on Instagram using your GPT technology and of course while you're down there you can subscribe to the channel if you haven't already this is kind of all we talk about on the channel AI business how to sell AI solution so if you want to stay in the loop on how I'm attacking this gpts opportunity and how you can best take advantage but to make your business better or to sell better things to your clients be sure to subscribe to the channel because I have a ton of really cool stuff coming I have a sort of Mastery GPT development guide that takes you through all of this and Beyond just a little tutorial like this it's really a comprehensive look at how you can Master building these things so that you can really unlock the value of this new technology if you don't want to miss that and any other future uploads you can subscribe down below but if you want to learn how to create your own AI automation agency and Sell Solutions just like this to businesses then you can join the biggest community of AI agency owners in the world who are already moving on this opportunity you can also join my free telegram down below if you want daily updates on my learnings and the things that I'm doing with these gpts and how I'm selling them as well as always all of the resources mentioned in this video will be available on my resource hub for you to download and steal and build and sell and do whatever you want to do with if you enjoyed this video and also want to know how you can put your gpts on websites you can check out this video here where I go to depth on it but aside from that thank you so much for watching and I'll see you in the next onein this video I'll be showing you step by- step the fastest way to connect your custom gpts to Instagram to completely automate your DMs I'm making this video today because Instagram can be an incredibly powerful sales Channel when used right and by connecting your gpts to Instagram you can completely automate key tasks like customer support and lead generation for your business or for your clients the issue is that connecting AI assistance to Instagram DMS can be an extremely painful process and something that I've had constant issues with over the past couple of months so I wanted to create a video to walk you through the easiest method that I've found so that you can get things set up and avoid the mistakes that I've made at this point in the video I would normally give you a big explanation of what we're building but I think it's easier if I just show you the finished product so we're going to get a live demo here of exactly what we're building in this case I'm using the testing keyword it's going to trigger the automation that I've set up within mini chat which you'll see in a second so in this case I've got some stories up of me and Dubai if you're not already following my Instagram it's going to be available somewhere here you get to see bit the behind the scenes of my life and some of the stuff I get to off camera um but in this case I've got some stories up and I can reply to it of testing and it's going to trigger the Automation and you should see a pop up at the top there we go so it says Hey Liam what would you like to know about the accelerator in this case it's pulling the first name from my account so if your name was Sandy or Smith that would be using that name as the first name um but because this account name is Liam it's going to use Liam what would you like to know about the accelerator would be happy to help um who is the owner so we can start asking some questions in this case it's going to be taking the question that I send there it's going to be sending it to mini chat and then mini chat is going to be talking to our repet back end which you're going to see all the code in a second and I've templated it all so you can just copy it and follow the steps I'm about to show you and you'll be able to get it up and writing so in this case let come back Thea accelerator program is Liam mle it's designed to help individuals establish a profitable and scalable AI business 90 days is there any specific information you like to know about the program um how how much do the plans cost the AAA accelerator offers two membership tiers standard plan which is $97 monthly Premium plan which is 197 which is currently sold out and so I can keep asking questions about the program I can ask it what are all the benefits what do I get out of it Etc what are the benefits on the standard plan for 97 what do I get you get access to over 15 live workshops a month you get 24 assistant from aam you get exclusive tools accountability groups vets Community templates all the good stuff so what we can say now is to try initiate the lead capture if I say I'd like to join great to here I'll need your full name and phone number including your country code to get started so so this is going for the lead capture now I can say my name is um Bruce Wayne um plus 971 5 2 7 7 8 there we go I can send that information it's going to pull out the name and it's going to pull out the phone number and it's going to send that off to air table to log that lead so that our sales team can follow up with them so that's the that's the build that's what we're going to be creating here you can easily modify this by changing out the knowledge base as you'll see in the steps that are coming in a second and you can also change the CRM from Air table to whatever you want but you'll be able to take the template modified as you need and I'll be walking you through step by step the most valuable part of this is going to be the mini chat template that I'm going to give you which took me like an entire day to create because there's so much so many issues that I have with it due to timeouts and stuff like this which we go into in a sec we have a ton of stuff to get through so let's get into it to achieve the functionality that we just saw we're going to need of course the assistance API from open AI we're going to need a repet to host that code then we're going to call our rep code from mini chat and I will mention it again if you haven't seen any of my other videos but we have the two sort of sides of this gpts release which is firstly the gpts on the chat GPT site where you can create them and sort of go through them and use them use them on the browser and things like this and then we have the assistance API which is really the the meat and potatoes and how this thing is going to be used and rolled out to businesses and to real world applications so while gpts are fun and all and they're cool to create around and sort of share around with people most of the value is going to be created with this assistant API so you can deploy your gpts and your your setups essentially to different channels in this case we're going for an Instagram deployment and using the GPT technology for that on my prior videos we've done website deployment so if you want to check out how to put these on a website rather than on Instagram you can do the exact same process but put it onto a website watching the video that's up here I've got a couple of them now but this is the best one to start with okay so to get started with this build you first need to get access to my repet as always this is going to be available in the first link in the description you can go to my resource Hub sign up for free and it's going to be at the bottom of the list in the left panel you can click on it there'll be a link that will take you to this ret and you should be greeted with a screen like this first step is to go to the fork button on the right we can click Fork here and we can call it I'm just going to put a fork at the end and then I can Fork the tripple give it a second to boot up then you should be greeted with something like this for those of you who don't know how to code don't freak out you don't need to change any of this really and there's only a couple parts that I'll walk you through the process of and that's mainly around API key so I build this in a way that it's all ready to go out of the box I'll just take you through a bit of a breakdown of how this is different from some of my other tutorials and the way that I've had to modify this so that it works with the Instagram deployment this actually took me quite a while to get working because there's limitations of Min chat which I'll go into later um but we can start off where they breakdown of the main. pi file which is where all the all the action is happening when we're actually interacting with this application similar to the other builds that I've done firstly we have the SL start endpoint which is going to start the conversation whenever we start a conversation within mini chat a new person interact with my story they hit that trigger it's going to call this mpo the/ start and it's going to create a new thread we're going to give that thread back to our mini application so here we are giving the thread ID back and then when the user actually asks their question it's going to be sent to this chat inpo and that chat inpo is going to grab the thread ID and the message then let's go to start a run what's called a run in the new open AI documentation and the way that they've set up the assistant API so you have what's called a run and in this particular build we have split the chat endpoint between this chat one and then the second one called check now the reason we've done that is because of the Timeout on Mini chat is 10 seconds and when I was testing this before I wasn't able to get responses on Mini chat because it was running over that 10-second timeout when I was making the API Co so we've had to split it into these two different parts this chat endpoint is just going to create the run and sort of send our information and what we need to do up to the open AI servers and it's going to be like okay that's what we want now give us a couple seconds and we'll wait for it to come back and the way we actually grab the response from that endpoint and we've called the open AI API to give us our response then we go down to this check in point we're going to be periodically checking in to see if our process our our operation has been completed and if it has been completed then we can pluck it out and send it back to the user so might sound a bit complicated but in this case it's going to make a lot more sense when we get into the mini chat side of thing so bear with me next I'll take you to the functions. pi file this is where a lot of the the core functionality is happening um in this case we have the lead capture so this is a air table lead capture we going to be replacing this URL with a new one um as you set it up on your end we have API Keys which we'll be setting up in a second this is the logic for creating a new lead in the air table as I mentioned and this is the create assistant function which is really the main bit that you need to wrap your head around before going out and trying this on your own so the create assistant function is because when you're trying to create a new GPT programmatically in this case we're not using the GPT Builder we are creating our own programmatically we need to give the instructions or the ingredients to the open AI API to create our new assistant so in this case we have of course the knowledge component which is going to be a document here on the left called knowledge. dox then we have the instructions which are going to be in the prompts dop file which we show you in a second then we have the functions which is set up here so I'll show you how to change each of these around so that you can modify this so that you can create your own gpts for your own use case so in this case we have the file here which is going to be the knowledge based document if you want to change the knowledge base to your own document you need to delete the knowledge based document on the left here and then click upload file here upload a new file and then you need to change the name of this file here from knowledge. do to whatever it is in the left panel so name here should match the name of the document on the left hand panel next if you want to change the promp thing or the instruction for your gbt it's going to be stored in this variable here so the assistent instructions is imported from our prompt. piy file which is over on the left here so if you want to change the promp thing or the instructions for your GPT click on the prompt stop High file on the left I've taken this out because it doesn't look very clean to have this massive amount of text sort of stuffed into your functions of P file so I've moved it out to here so you can go in and modify this as you like and any changes that you make here are going to be automatically pulled in to this create assistant function when you create it to to reiterate we have the knowledge component here which we can change we have the prompting component here which we can change via the prompts dop file and then finally we have the tools section uh now the tools and order to be able to use I should have mentioned this in some of my other videos so thank you for those of you who pointed it out but the model here that we're calling the GPT 4 preview you actually need to have a card put on your open AI account and you need to add some credit to your account if you haven't yet done that going to need that which will show you in a sec but in order to be able to access this new model which is able to use GPT the much larger GPT 4 which is faster and and better in a number of ways we need to do that step so just to be clear some of you had issues with that last time that is the reason why and I'm going to be showing you in a second how to fix that so when it comes to tools this is the more difficult part to change around I will be completely honest but just to walk you through it firstly we have the retrieval tool here this is the knowledge base as you can see I put a lot of comments throughout all this document so if you get stuck you have a question about something not working or you want to know how to modify things take a look at these green comments and you'll get a much better idea of how this application is set up so we have the retrieval tool which is the knowledge base this needs to be on for it to be able to access that knowledge document then secondly we have just one function here which is the lead capture the lead capture in this case is using the create lead function which is up here it's referencing that name then we get to the two parameters required to call this function firstly we have the name which is obviously the full name of the lead and then we have the phone which is the phone number of the lead including the country code it's important to know that to operate this application when you have the three different ingredients you have your knowledge base your instructions then these and then the tooling here as well when you go to create an assistant when we run this app up here for the first time it's going to look on this left panel and see if there's an assistant. Json file in this case you can see that we don't have one so it's going to follow this and say okay if there is an assistant. Json file let's load that but if there is not then let's go through the creation process and then create a new file down here so this is our way of of not duplicating and making a ton of different assistants when we don't need it you're going to be charged API usage by how many assistants that you have up especially if you're putting a lot of knowledge in them you get charged by the the amount of storage that you're taking out with your documents as well so in this case it's only going to create a new assistant when there isn't one already in the side file and this also means if you've already run the app once and you have a assistant. Json file on the side panel here if you want to modify the knowledge the prompting or the tools then you need to delete that file and then run the app again it will recreate your assistant. Json file with a new set of settings okay and with that orientation out of the way we can get into modifying the very few parts of the code that we actually need to change in order for it to work on your system firstly we have our open AI API key pretty straightforward one you can go to platform. open a.com then on the left panel here you'll have an API key section and you can click here and create a new secret key it's going to pop up with a a key that you can copy and you can copy that you can take it back over to reflet here then you need to go to the secret section down the bottom left we can delete this Google Cloud API key cuz that's not needed for this one um but in this case we have open AI API key you can edit this and then you can paste yours in and then update the secret and as I mentioned before in order to make sure that you get access to these newer models that we need to make this app run on the left hand panel here you can click on settings and then billing you can add a payment method and then you can click on this buy credits button and put 5 to10 in so that you have full access and permissions to use all of the latest models next we need to set up our air table and get our air table API key so in this case you'll be going to the resource Hub again which is in the first link of the description you can sign up to there and then on the resource Hub there'll be a link to firstly sign up to air table if you haven't already and there'll also be another link for you to be able to clone my air table base here so when you click on that link it should look like this in this case we have these two tabs here this is just going to be the accelerator lead is what we're looking for and you should have this button up here that says copy base so when you click that it should clone it over to your account and look a bit like this so just to take you through quickly we have the the names of the leads we have the phone numbers and we have the questions and a status so the main ones that we're going to be dealing with within this app are the name and the phone number I'll talk a little bit more about these questions at the end once you see it live once you have this base created we need to get our API Key by going to the right panel here clicking on this little uh profile icon then going to the developer Hub then you'll be on this page where you can create API key so you can click create new token you can call it uh Instagram lead genin bot you can go to Scopes and click right and we'll give it read as well and access you need to scroll down to your Smith solo CRM and you can click the create token button and it should pop up with an API key that you can copy so you want to copy that and then head back to repet and in the same way we just did with the open AI key you can click on the three dots to the right of your air table API key and if you haven't found Secrets it's in the bottom left here click on that and this should appear and you can edit again copy all of this and paste or delete all of this and put your API key in inste and update secret and then one final thing that we need to do is go back to our air table developers page and then click on this web API documentation on the left then you need to scroll down to the bottom and click on the Smith solar CRM and then can click on the accelerator leads table and then click on create records then you need to take this URL here copy all of that from https all the way to the end of leads copy that head back to repet and go to the create leads function in the functions. py file and then just copy Within delete within the quotations there and then paste in that URL so mine's the same so it doesn't need to change obviously but yours will have changed a little bit with this little section here and with all of those changes made we are ready to run our application for the first time we need to click this big green button up the top and on the left pan panel you'll see that we'll get our assistant. Json file created because now it's going to create an entirely new assistant based off our settings inside our create assistant function so the settings we have here with the knowledge base with the prompting and the tools it's going to sort of smoos that all together and create this assistant. Json file and all it has in here is this so yours will be a little bit different but this is what we're going to be reloading it from so if I stop it and restart it it's going to this time read from this file and pull in that and save that as the variable in our main function if all has gone well you should see something similar to this in the bottom right corner and you'll also see a web view that's popped up here saying not found it's not an issue we can click on this new tab button in the corner and it's going to open up a new tab for us here this is the URL that we're going to be calling within Min chat to get access access to all of the functionality that we have in our main.py file so our start chat and check endpoints that we can access by mini chat with that all of and running correctly now we can get onto the mini chat side of things I've created a template for you that you can just plug and play and change a couple URLs so if you want to get access to that again you can sign up with the first link in the description then you can get access to the mini chat template when you click on it it should look like this when you get on screen if you don't already have an account for Min chat you'll need to click on the sign up button then it allow you to log in with Facebook and you can go through the whole setup in this case you want to click on Instagram and go through the process this can be a little bit tricky so I've actually got a a recommended tutorial from someone else when I had a bunch of issues with getting this set up earlier today I walked me through some of the basic setup for creating a Facebook page and linking it and the right way so that it works so there's a lot of moving Parts when it comes to your Facebook pages and accounts and your profiles and all these different things so I don't want to try and drag this thing out to be 40 minutes long so there's like a 3 or four minute tutorial where the guy explains it really well that'll be linked down below if you haven't got an account I'd watch that so you can set up firstly your Facebook faceb page and then connect that to your Instagram account so that everything's all tied up there then you can come back here all signed in and ready to go once you've signed in to mini chat you can come back to this page and again click on save to mini chat and it's going to this time loaded into your account so I can click on Save flow here for the account that I've set up view flow and just like that you have imported the template that I spent hours working on today to get working for you all so this is going to save you a ton of time I'll walk through it briefly now and we'll be updating what we need to along the way to save time starting off we have a trigger if you're familiar with these automation platforms you'll know that triggers are how things start off in this case we are using a story reply trigger that I have set up on the keyword testing I'm actually going to change this to test two so you know that I'm actually testing the one that I built in front of you this is set up to be listing on all stories when a reply contains specific words or reaction in this case the test two word is going to be what it's looking for if that trigger is hit then it goes to the first step in our application which is to create a thread creating a thread is the first step in our application and this calls the Slash so this is creating a new thread under your assistant that's essentially the start of a new conversation or a new bucket of chat history that we're going to be tracking the conversation for in this case we can grab our URL from the repet not found page copy this head back to mini chat and we need to replace this URL up to the start point with our URL so M should just pop and Fork there make sure you don't have two for slashes like that so it should just be your URL and then SL start if we go through here yeah not much you need to worry about here we're saving the thread ID into a custom field code thread ID don't touch any of this here just leave it with all the numbers included by this point we've created a thread and now we can say hey first name what would you like to know about the accelerator I'd be happy to help and then we are going to be listening for a response so this is a a free keyboard input so it's just waiting for them to send something through what we're doing is saving that to the variable called last reply which is what we're going to send off to our next endpoint in order to start the process of generating a result so we send that off to this first step which is just a clear AI output field just to make sure that the variable is empty don't need to worry about that too much the key point is that after that we go to the start run step now here we are doing the same thing with the URL again you need to paste in your URL and have the entire URL and then slash chat this time so again first one will start this time it's chat next one will be check and these will correspond to the different endpoints that we've set up in our application so they start creates a new thread starts the conversation the chat endpoint starts the Run sends off the information to openai to start processing the answer and then the final one which we're about to see in a second is what checks it and Returns the answer so going back to Min chat you can leave these as they are but just to give you an idea we are sending away to our chat endpoint to start the processing the thread ID and the message from the user which we are getting from earlier where we created the thread ID we've saved that and we're referencing it here and the message which we are pulling from the last reply that we just got from the user we're sending that off and what this returns to us is a run run ID now this run ID is what we need to be able to check the status of the sort of order that we've sent off to open AI now that we have created the thread we've got the users input we've sent that off and said can you work on this for us now we can periodically check back in to see the status of that response and we do that via our run ID run ID is already set up here and then we pass that run ID to our final endpoint which is of course the check endpoint which is checking the status of the Run make sure you have your url here/ check in the body of this request we sending away the thread ID and the Run ID to check the status of that run and the response that we should be getting back here is the answer to the user's question so this is the final output that we do present to the user and send within the Instagram DMS and this part here is probably the most difficult but to understand but this is how we are allowing it to Loop through as I mentioned before mini chat has a 10c uh cut off a Timeout on the API request so the issue I was having here is that when I was trying to create this earlier today I kept running into this issue of it would answer the shorter questions but then whenever I asked for a longer response it would just completely blank and wouldn't send anything and after a lot of searching around I eventually figured out that there is a 10 second Timeout on this and unfortunately a lot of the stuff that we do particularly with function calling and and knowledge bases can take longer than 10 seconds to get back to us the way that we get around this timeout is this conditional block here in which if the check end point returns timeout then we're going to loop back around and try it again so if you look back at our code we have this check Endo here and it has a timer of 9 seconds so it's going to check the status of the run over and over and over again which you'll see in the bottom right here in a second it's going to be printing out run and progress run and progress run in progress run in progress and then when it's complete it's going to send it off but if the run is still in progress and by the time it gets to the end of that 9 seconds it's going to send back a timeout and say hey look we've run out of time then we're going to try it again and check how much longer so this will make more sense when you see it in action in a second but it does work and I'm very happy that I was able to get this working for you all and then we have an error handling step where if the AI outputs some kind of error we're just going to assign it to a human to to handle the conversation and the final part of this conditional check is that if there isn't a timer as in we don't have to keep waiting for a response and there isn't an error then we can go down and send the final AI output that we get back from the check inpoint and we can send it to the user and await their next input this final step here is printing out the AI output and we're also at the same time expecting input from them and saving it to last reply and with that last reply we can Loop right back up to here and then go through the whole process again I'm saying okay now we have a new user input let's firstly send it off to the chat endpoint get that cooking away and the open a servers then we can check into it over and over and over again until it comes back as a complete response I think that's enough talking we are ready to get this thing tested I just want to do one final check and you guys should all make sure you do this that we have updated the URLs for all of them so Instagram accelerator ass for/ start yep that's correct go here slash chat yep that's the second one and then SL check yep we are all good to go here now I can click the update button here and I'm ready to give it a test on the phone we're on the phone here and I can pull up my story and I can say test to send that we should get an automated message any second yep there we go hey Liam what would you like to know about the accelerator would be happy to help um what coaching do you offer now I do want to pull up on the other side the repet back end so so it's handy to watch it as I send this we should see things pop up like it start to thread checking for status and progress and progress and progress so you can see the debug here the way that I've set it up it's going to be printing out and giving you updates very constantly on how things up oh there we go you can see here in the console that it's been checking for the status of the run and it's been in progress and progress and progress and when it gets to the end of that 9-second period it goes okay I need to send a timeout response and then we need to try loop back again and continue to check in this case it's timed out once then it started the next Loop and then immediately found that the response was ready and then we sent it in this case we have it on our phone here personalized assistance regular one-on ones exclusive resources Etc Great and then we can try to get a lead capture going here so I'm ready to start and again watching the console here in progress in progress in progress completed and boom it sends it through now we need a full name and phone uh um P to Parker like a jacket and that should ask for my phone number as well sure I'll give you my phone number now it should go for a lead capture here requir action action and process lead created success F checking run status and progress and progress completed and it sends it back and now we should pull up our air table here we should have Peter Parker there we go we've got two of them and that's the builds we can continue to ask questions here and going through and learning more about the product but we have done the lead capture I think it will allow us to do another lead capture even but in this case we've gotten what we wanted out of it they've been able to ask questions make a decision and we've captured the lead that we can send to the sales team and they can follow up on there is this column here of question that I was going to include but it made it a little bit more complex and I think many chat has already made this as complex as it needs to be but this questions column was intended to be a an additional field for the lead capture function which can pull out of the thread out of the transcript of the conversation it can pull some of the questions that the user ask and add them to this field when you capture the lead so that the sales person can look at the questions column and go okay this person was worried about price or this person was worried about the features or or the team Etc that's not something I've included in this build but it is possible if you guys want me to make a video breaking down how you can get all of the transcripts from your assistants from say your Instagram deployment from your website deployments anywhere you want it we can be pulling those and centralizing them somewhere so if you want me to do a video on it I have had some requests already but please let me know in the comments below and I'll I'll make sure I get that out as soon as possible as I mentioned in my last video there's repet application is not properly deployed it's not production grade and production read this just allows you to spin it up and see how it works quickly if you do want me to do a video breaking down how you can actually do a live production grade deployment of one of these applications using repet or other ser Services also let me know in the comments because I can make that video too if you've got this far congratulations this is definitely one of the tougher tutorials I've done and there's definitely a lot more complexity that I've had to to work into this to get it working on Instagram which is just really the nature of the platform right now so I hope You' been able to follow along and get as much out of this as possible if you have enjoyed please hit down below and leave a like I put a timeon of work into this thing it's actually been delayed a bit just by the amount of issues that I've had with trying to get a way that works for you guys as easy as possible so I'm sure many of you going to take this and be able to do some awesome stuff with it um I hope the use case is a little bit different from the solar one that I've I've talked about a lot I wanted to show you how this can be used for more educational products or coaching offers and things like this and not only handle questions and sort of customer support but also go for lead capture and things like this to create a lead generation chatbot on Instagram using your GPT technology and of course while you're down there you can subscribe to the channel if you haven't already this is kind of all we talk about on the channel AI business how to sell AI solution so if you want to stay in the loop on how I'm attacking this gpts opportunity and how you can best take advantage but to make your business better or to sell better things to your clients be sure to subscribe to the channel because I have a ton of really cool stuff coming I have a sort of Mastery GPT development guide that takes you through all of this and Beyond just a little tutorial like this it's really a comprehensive look at how you can Master building these things so that you can really unlock the value of this new technology if you don't want to miss that and any other future uploads you can subscribe down below but if you want to learn how to create your own AI automation agency and Sell Solutions just like this to businesses then you can join the biggest community of AI agency owners in the world who are already moving on this opportunity you can also join my free telegram down below if you want daily updates on my learnings and the things that I'm doing with these gpts and how I'm selling them as well as always all of the resources mentioned in this video will be available on my resource hub for you to download and steal and build and sell and do whatever you want to do with if you enjoyed this video and also want to know how you can put your gpts on websites you can check out this video here where I go to depth on it but aside from that thank you so much for watching and I'll see you in the next one