Unlocking the GPT Store: A Beginner's Guide to Creating AI Agents and Making Money

open AI has just released the GPT store marking the App Store moment for AI looking back to 2008 when Apple

Unleashed their App Store only those with app development skills got a slice of the millions the App Store generated

the difference for us today is that the skills required to create for the GPT store and start making money can be

learned in an hour or two rather than 3 years of software engineering at College that's why today I'm going to be

teaching you absolutely everything that I know about building gpts and making money from them as a beginner so that

you can take advantage of the Easy Money new platforms like this offer before it's too late however since there's

going to be tens of thousands of people rushing to this new opportunity the challenge is not knowing how to create

gpts but how to create actually valuable gpts that will stand out from the competition and generate you passive

income for years to come teaching you the skills required to do so is the goal of this video now before you sit down

and listen to another random guy on the internet teach you how to make money online if you want to be a millionaire

next month this is the way to do it you need to know a little bit about the person giving you the advice if you're

new to the channel and don't know who I am my name is Liam otley and I run my own AI agency morning side Ai and I also

run the largest community of AI agency owners in the world where my students learn how to make money by selling AI

solutions to businesses just like the gpts you're about to build I'm originally from New Zealand but now live

in Dubai and I've been doing online business for the past 5 years over the past 12 months I've sold nearly half a

million dollars worth of AI chat Bots to my clients and I've taught the people in my free and paid Community how to sell

tens of thousands of dollars worth of their own the reason I'm making this video today is that within my own agency

we are starting to see a massive shift in demand away from the normal AI chat Bots we're used to building towards AI

agents like gpts that are equipped with tools and knowledge the change in demand has been so significant that we have

pivoted almost all of our resources to going all in on this opportunity at I specialized in AI agent creation the

majority of which is done through my AI agent platform agentive now I hate to ramble on about myself but when I was

starting out an online business all those years ago I wasted my time listening to people who weren't

qualified to give the advice they gave so I've been in your position before and I don't want you to go through what I

did so that's a little bit about me I hope you think I'm qualified to be giving the information I'm about to

share as you can probably tell by the length of this video I'm not holding any secrets back from you I've structured

this video into three different chapters starting right from the basics of what is a GPT all the way up to the advanced

deployment techniques that I've found to make money with GPT but feel free to skip around using the

time stamps along the bottom so you can start wherever your skill level is chapter one is foundation in order to

make money with gpts you need to properly understand gpts and the opportunities they present this chapter

covers the basics for beginners right up to the dangers and pitfalls of becoming H gbt creator that no one's talking

about right now chapter two is skills in this chapter I break down each of the five different skills you need to know

to be able to crush as a no code GPT developer and to be able to make passive income from from the GPT store and some

of the skills you need you definitely wouldn't expect and finally chapter three is creation in this Final Chapter

I walk you through creating your first GPT that incorporates all of the available features on the GPT platform

and I'll also show you how to jailbreak that same GPT and use it elsewhere on places like websites WhatsApp and More

in order to get the most out of this video I want you to close out of all of your tabs save this video to your watch

later and give yourself the next 2 to 3 hours to study the information in this video I want you to go and get a note

book and a pen because there is far too much information in this video to soak it all in on your first run through and

if you've done all that we are ready to get started Chapter One Foundation what are gpts for those complete beginners

here we're going to be starting from the basics first things first we need to identify what is a GPT well gpts are

best described as custom versions of chat GPT essentially they are customized versions of chat GPT that have been

modified to be better at a specific task or more helpful to a certain type of person for example some of the most

popular gpts to date have been canvas GPT which allows you to create designs and Graphics from natural language

secondly at grimoire which is the number one Community made GPT at the moment which makes you a 100x engineer allowing

you to build websites and more with prompt gramming this particular GPT is so high ranked because it has been

cleverly marketed by the owner which we'll be going into dep on later then we have things like designer GPT which is a

community made GPT which generates and hosts websites for you in just one prompt each of these and the other

Popular Community made gpts which I'll leave a link to the leaderboard down below if you want to check it out but

each of these have been created by modifying the functionality of the base chat GPT to be better at a specific

thing by using what I like to call the three ingredients of a GPT these three ingredients are prompting so you can

give your GPT a detailed set of instructions to determine its behavior for example the response length or the

response style or the gpt's goal or purpose can all be communicated via prompting the second ingredient is

knowledge the GPT Builder allows you to add your own files like PDFs spreadsheets or other documents to allow

your GPT to draw information from these documents when responding to user queries so essentially a chat GPT on

your data which was a hugely popular concept last year and thirdly actions so actions are special functions that your

GPT can perform outside of just writing a text response to the user you can use either open ai's existing capabilities

like image generation with doy browsing with Bing or the code interpreter or you can create your own custom capabilities

that do things like send emails or book restaurants and more actions can also be called tools or functions as you'll

likely see later in this video different combinations of these three ingredients of prompting data or knowledge and

actions can create any kind of modified chat gbt that you can imagine but it is important to note that only one of these

ingredients is actually required when creating a GPT and that is prompting with knowledge and actions being

optional however knowing how to effectively find and add the right kinds of knowledge and create custom actions

for your gpts is how real value is created later in this video I will be walking you through how to learn these

valuable skills step by step so that you can immediately create high value gpts and start making money with your skills

in 2024 it's important to note that GPT is just a fancy name for an agent an artificial intelligence an agent is a

computer program or a system that is designed to perceive its environment and make decisions and take actions to

achieve a specific goal or set of goals basically agents are chat bots on steroids the chat Bots we're used to

typically just reply with a often pre-written response or some basic AI generated output agents can do far more

than just send a text reply they can interact with apis and and anything across the web which allows you to do

some pretty cool stuff with them you could theoretically have an agent that would fire a nuke for you as long as you

told at the location and provided the launch code that's kind of the the triggering of of actions that you can do

with agents if this sounds confusing at all don't worry because later in this course I'll be walking you through

creating your own GPT or agent from complete scratch and everything will start to click into place gpts are

really open ai's way of introducing the world to AI agents but this is just the first step in a much larger plan to

introduce autonomous agents to our world more on this later the App Store opportunity at the time of filming this

open AI has just released the GPT store people are calling this the App Store moment for AI which if this is true we

have possibly the biggest opportunity to create wealth of the next decade in front of us as regular people this is

the equivalent of being one of the first people to create an iPhone app in 2008 and List It On the App Store now I know

that is a big statement to make so please stick with me while I back it up I know how pain V is hearing every

second YouTuber talking about the big next opportunity but give me a second and I will back it up if you're a smooth

brand gen ZZ kid like me we missed the App Store opportunity in 2008 because we were too young and even if you were old

enough in 2008 creating apps was only really possible for the privileged few who had learned how to code and were

really in the right place at the the right time to jump on the mobile apps opportunity the point here is that

historically when new platforms arise it is stupidly easy to make money because there was so much attention so much

demand and yet limited Supply the entire market and ecosystem around the platform has not really found equilibrium or

found balance point yet so there are countless opportunities to catch a little slice of the wealth flowing into

the space from investors and sponsorships and new startups with big budgets that they need to spend

somewhere we've seen this with new platforms time and time again firstly of course we have the world Wide Web where

early players caught the doom boom and were able to get millions and millions of dollars in funding with with just a

name that says do com in it and ended up exiting for hundreds of millions or billions of dollars Mark Cuban sold his

company broadcast.com which is radio put on the internet for a billion dollars and it's it's nothing now secondly of

course we have the Apple App Store for the people who are early to the App Store and were early Builders the money

came fast in the first 12 months following the app store's launch a guy named Steve de created a puzzle game

called trism which turned over $2 million another guy called Bill rapos launched an app development company

called wait for it great apps and was making $100,000 per month within a few months of launching an app called

ieam that took 7 days to build a free application in the App Store two out of five stars hell some guy even made an

app called I am rich that cost $1,000 and did nothing and sold a copy in 24 hours thirdly Facebook and Google ad

platforms anyone who was early to these advertising platforms had ridiculously low advertising costs and basically

printed money with super basic ad creatives and landing pages now years later the rest of the world has caught

on and now companies struggle to profitably spend money on paid traffic due to the rising cost in competition

finally number four is Tik Tok the growth that the early creators on Tik Tok saw was insane and many of these

guys and girls have gone on to become some of the biggest stars in the world think of people like Charlie dellio and

Bryce Hall and Addison Ray all these kind of creators now that kind of short form content is fiercely competitive and

a lot harder to get that kind of growth I'm sure you get the point but what I'm trying to say is that early typically

equals easy or at least early equals greatly increased chance of getting lucky and seeing disproportionate

success if you tried to go onto Facebook ads and Get Ridiculous returns now the chance of you getting disproportionate

success is much lower than it was when it first started that's what I'm trying to say here so it's clear that if the

GPT store does take off and become the App Store of AI there is a huge opportunity for us but how can we

actually make money from the GPT store open AI has announced that there's going to be Revenue sharing for GPT creators

however Sam Alman has said that we're going to pay people who build the most valuable and most used gpts a portion of

our revenue does that mean that there's a minimum usage requirement for you start to get paid how much will the

revenue share be Etc there's a lot of questions around that I actually don't want to say too much on the revenue side

of things just yet because at the time of filming this they haven't released a store yet but by the time you watch this

they will have released a store yet hopefully more information will have been revealed by

then so I'm going to make a video following up on this talking about Revenue sharing Etc so make sure you

subscribe to the channel down below so you don't miss that but honestly I'm not expecting too much here in terms of

Revenue sharing and I think it may have been more of a marketing tactic to get everyone hyped about building on the

platform but I would love to be proved raw so if the payments from open AI are lackl what options do we have to make

solid income from this gpts and agents book well I'm glad you asked the truth is the GPT store is only one part of a

much larger picture sure creating valuable gpts and getting tons of usage that will earn you a few thousand a

month is great but honestly I don't know if that will be possible for the majority of us the reality is that those

with the audiences and the means to effectively Market their Creation in the gpts will have a massive Edge over your

average GPT creator for example if I made a GPT for AI agency owners I could pump it up and its ranking on the store

by making videos about it not all of you watching this can do the same all is not lost though as I said gpts are just a

small part of a much larger picture AI agent building is the most valuable skill of 2024 so we've

established that gpts are just a fancy word for AI agents right or AI assistants or whatever you want to call

them basically AI chat Bots with a unique mix of prompting knowledge and actions the three ingredients that means

that if you learn how to create GPT you're technically learning how to create AI agents no correct well the

good news is that knowing how to create AI agents is going to be one of the most valuable skills and future proof skills

that you can have in 2024 and Beyond not just for your personal use and productivity but for making money online

as I'm about to explain the AI agent landscape is expanding rapidly and is set to be one of the most if not the

most world changing fields of technology in the next decade a world where AI agents can speak to customers handle

complex tasks and and join companies as part of their AI Workforce is really where all of this is heading but don't

take it from me take it from all of the biggest Ai and tech companies in the world which have made it clear that AI

assistance with custom actions AKA tooling is where they are placing their bets one of open ai's biggest

competitors anthropic has recently announced that their model Claude will have API tool usage AKA actions and its

2.1 version Google has just released Gemini the multimodal GPT 4 killer which will undoubtedly support custom actions

and agent Creation in the near future it looks like a bird to me even Amazon is expected to add agent creation and

hosting services to its existing Cloud offering as well across all these different companies rushing to the same

opportunity the same skill set will allow you to build agents I'm going to be explaining each of the five key

skills needed to build agents and the steps you can take to master them in the next chapter of this course before

taking you through creating your first GPT an AI assistant step by step at the end of this video what I want you to

walk away from this video with is not only the perspective to see this opportunity for what it really is but

also the knowledge you need to take your first steps into AI agent creation even as someone who doesn't know how to code

but we're still stuck at the same question if we learn AI agent or GPT creation how can we make money from the

skill if you devote the next 2 to 3 months to become a killer agent or GPT developer how can you monetize these

abilities well who needs agents basically every business on the planet sooner or later this happens every time

with new technology like the web and mobile apps when it first takes off there's a massive need for people who

know how to build the technology for businesses so that they can adopt the technology and benefit from the Gams for

example web development agencies popped up to make money by facilitating the adoption of websites by businesses which

website seems quite crazy and stupid at first now everyone has one then mobile app development agencies popped up to

make money by facilitating the adoption of mobile apps by businesses and now with this magical new AI technology is a

massive need for agencies or Freelancers who know how to identify valuable use cases for agents and Implement them into

businesses this is the opportunity that I realized last year and created the AI automation agency model which has since

exploded into an online business opportunity and I've helped thousands to build their own AI agency like mine and

both my free and paid communities but I didn't take this long just to give you a sales pitch I only bring this up because

the successive both myself and of the hundreds of successful AI agency owners in my community it really proves that

there is something here and a way to make money by selling these things to businesses if I do my job right with

this video you should be able to get started and make money without ever paying me a dime at least that's the

goal of the video this opportunity to sell AI agents to businesses or anyone who needs them really is the big picture

of the GPT store release for example local businesses can use the AI agents that you can create in a few hours to

automate their customer support or lead qualification digital businesses like agencies can use your AI agents to

automate their researching and contacting of prospects solopreneurs can use your AI agents to supercharge the

abilities with content automation or mass Outreach tools the list goes on for these kinds of use cases you need to

break your GPT out of the chat gbt site and put them on websites and install them in existing systems this is easier

than you think and I'll show you how to do this in the final chapter of this video my point here is that the AI agent

Market is going to be massive and full of opportunity and personally I think it is one of the biggest opportuni of 2024

and Beyond mainly because it is so accessible to people to learn the skills needed to build this crazy powerful

software people could only dream of a few years ago a lot of side hustles and make money online grifts are are

borderline scamming and what I love about this is that you're actually building a hugely valuable skill set and

implementing technology that will truly make a difference for your clients building AI agents presents you with an

opportunity to charge deep into one of the most exciting fields in the world over the coming years and not only make

money from anywhere but also open up doors to much bigger opportunities along the way market dynamics while I did say

that the GPT store is only a small part of the picture I still want to give you the information you need to give in a

good crack as I said if I teach you how to create killer gpts that same skill set can be transferred over to selling

agents to businesses so it's a win-win with the GPT store launching I want to touch on the market dynamics that we'll

likely see play out and being aware of this will ensure your strategy is better than most giving you a better chance of

success whenever new platforms like the GPT store start there's usually a few different phases initially the market

will be flooded with basic gpts that take off and a good for a specific use case but don't really have much to them

maybe a couple PDFs and some decent prompting and these documents are likely publicly available and anyone can find

them and recreate that same GPT for themselves but as these low barrier to entry GPT use cases flood the market

they'll quickly become commoditized and lose all value if you make a GPT that 10,000 others can create in 20 minutes

by by downloading the same ebook as you you're never going to get the usage numbers required to make any decent

money on the platform because there might be a 100 different GPD creators who will given me the exact same thing

and therefore all of the usage for that kind of use case is going to be split between all of the people but rather

than you getting all of the usage it's going to be split between all of the other copies of the same GPT and you're

not going to be making any decent money then the next phase will begin where Builders will need to get more creative

and find other ways to create both unique and valuable gpts that will attract and retain users over a long

period and creating this kind of value and long-term usage comes back to the three ingredients concept we discussed

earlier we have prompting we have knowledge and we have actions to have any kind of long-term or consistent

income from your gpts you'll need to be able to create unique value through one or more of these there are a number of

different ways that you can create unique gpts so you might want to get your book out and and write these ones

down firstly you can use expert or unique prompting which is fairly easy to replicate if someone else can come up

with the same or similar prompt they can create the same kind of functionality you can but that is one way you can

create some kind of point of difference with your gpts secondly you can use private or hardto find data as custom

knowledge as you'll learn later in this video you can either kind of buy or scrape data off the internet and make

your own custom knowledge base that very few can replicate because if you can get knowledge or information that people

can't then people aren't going to be able to replicate what you've created with your GPT thirdly you can curate an

interesting or unique mix of data in your GPT this is a pretty interesting one to me but the idea of you being a

bit of an artist or a chef and and and putting the right types of data together whether it's publicly available or

private or hard to find just baking an interesting mix that is hard to replicate and that provides a unique

type of value that others can't provide and finally number four is of course creating unique or powerful actions and

tools and functions that your GPT has that other people can't easily or or can never replicate for example if your

uncle runs a roofing company and has dozens of high performing sales scripts that have been crafted over two decades

to be really high performing you can take those and put those into a GPT as a custom knowledge base and call it a

Roofing sales script expert by doing that you'd have created something that is difficult to copy and better yet you

can throw in a roofing cost calculator tool that you created on relevance AI to increase its value even further in the

next chapter of this video I'll be going into more depth on tooling relevance AI so stay tuned for that my point here is

that it is much better to spend your time creating gpts that have some kind of unique value to them that is hard to

replicate otherwise someone else is going to make the same thing and you'll have to split your Revenue if any with

them be smart about where you spend your time and don't get caught up on dumb projects that will never make you a dime

to make gpts that are actually unique and useful you need to master the three ingredients and become a GPT shf however

there are two other skills you need to hit it big on the GPT store chapter two skills in this chapter of this free

course we are going to be covering the five key skills that you need to succeed as a GPT Creator on the store and as an

AI agent Creator working as a freelancer or an agency selling to businesses skill number one market research and use case

identification it's pretty hard to make a GPT that thousands of people use every day and racks up some juicy Revenue

sharing income for if you don't know what people want therefore market research and identifying a high value

use case for your gpts is the first skill that you need to develop when doing research and coming up with your

ideas that always needs to be through the lens of the three ingredients you need to be thinking how can I combine

prompting knowledge and custom actions together in a way that creates something both useful to a specific user and

unique and hard to replicate for example as I've done earlier on this channel you might make a gold investing assistant

for the prompting ingredient you would tell the GPT that it's supposed to help with investing in gold using some of the

knowledge based documents provided and the actions that you've given to it the knowledge ingredient of this GPT could

be some PDFs on gold ADV Bing that you downloaded from the internet and jammed into the knowledge base and finally the

action ingredient could be a gold price checker tool that you use an API to cetch the current price of gold and you

make that available the reason I'm using this example is cuz I've made it in an early a video on my channel I'll link

that L that up here if you want to watch that that's a very basic example and probably not the best one if you're

looking to make money another example that my Twitter first heard about is a quotation assistant for framing

businesses so I had a conversation with my auntie who owns a framing business in Oakland and she said that like the

quotation process for us is an absolute nightmare um we have to go back and forth with them asking for like the size

and the shape and the style that they want it's much easier if you able to create a GPT or an assistant that can

collect the information from the user send it off to a calculator tool give them the price back send a payment link

Etc so for the prompting ingredient of this GPT you'd say you are a framing business assistant who helps customers

to get a quote for the knowledge component we don't need to use anything here and for the actions we' connect two

tools firstly a generate quote which sends off to a quote calculator and Returns the price and then another tool

that allows us to generate a unique payment link based of that quote price tender to the user and capture the

payment so if you're looking to come up with a few ideas there's a few different ways you can do it firstly using your

own experience in my opinion and my experience this is always the best option because if you know something

about a specific industry say you've worked in as a content creator before or you've worked as a editor or something

you know more about that issue and the kind of problems that they face and the kind of solutions they would need than

anyone does so if possible think back through your past experience or what you even do right now think what kind of

gpts could I create to solve the problems that I'm familiar with secondly you can hijack the experience of others

so as I just mentioned with my auntie when I was having a conversation with her she told me hey this particular part

about our business sucks and I was like okay that's an opportunity for creating some kind of AI system so if you can you

have friends family anyone you can find who has specific information or understanding of some kind of area or

Niche or industry they might be able to give you some insights on what kind of problems need to be solved and what can

be solved with the GPT solution and finally you can do your own research on the internet you can use sites like

Reddit and YouTube to research about a specific Niche or about a a specific type of user and try to figure out what

their problems are and how you could solve those with a GPT solution one great platform for this that I have no

affiliation with is called gummy research it has AI features that basically allow you to pick and mix

different subreddits and then get AI insights about the kind of problems and and things people are complaining about

so I'll leave a link to Gummy Search down below again no affiliation to it I just think it's a great tool for any of

you who are doing market research and I recommend this to the guys in my accelerator and free community as well

once you've got a bunch of ideas for gpts that you can build we then get to the next phase skill number two data

sourcing preparation and curation in many cases but not all as you saw with the uh framing system that I mentioned

before that doesn't need knowledge most of your gbds and agents will likely need custom knowledge element to make them

more useful and relevant for your users this means that knowing how to find valuable data prepare it for use in your

agents for best performance and potentially mix different data together and create a unique experience there's a

set of skills that you need to have I find it's helpful to split data into three different categories public hidden

and private so you might want to write these down public data is anything that you can find for free on the internet

for example searching up gold investing PDF and adding any results find to my agent or to my GPT is an example of

using public data of course since anyone with an internet connection can get to this data and replicate your gpts you

likely face a lot of competitors using the exact same data who will end up siphoning off your earnings on the store

hidden data is anything that requires a little bit of extra work to get your hands on examples of hidden data could

include expensive or sort After books you have to buy or or find data scraped from the web and combined in a unique

way or data collected yourself from things like surveys while all of this data is still accessible the hidden data

like this requires some extra skills or resources or effort to create a valuable knowledge component for your GPT so a

little bit of extra effort can go a long way to find this kind of data and finally private data is any proprietary

data that is pretty much impossible for regular people to get access to this will often be data collected by

companies on their customers sales or Trends Etc some of you may have this kind of data yourself or you may know

someone who does you can offer to buy the data off them or to lease it off them and help them to monetize it by

creating a GPT for them and share it with the world in that way this idea that people can monetize their private

data through these AI agents in kind of a secure way is a very interesting concept to me identifying these hidden

and interesting data sets will likely be the best option longterm to create value for most of you however to scrape and

clean and sort large amounts of data can be difficult if you don't know how to code python is great for this and you

can learn web scraping and data management in a couple of weeks if you're serious about things it's been

hugely available for me in my own career over the past 12 to 24 months knowing at least the basics of python and

JavaScript but it is a nice to have not a need to have to be successful skill number three prompt

engineering the quality of your instructions to your GPT directly determines the quality of its outputs

therefore knowing how to write good instructions or prompts is absolutely critical to your success the good news

is is that it's not actually that hard there's a few key tricks that you need to learn that will put you in the top 1%

of people prompting these models luckily for you I've already done a beginner's guide and an advanced guide on prompt

engineering here on this channel that will teach you everything you need to know they'll both be linked below so

make a note of it and you can come back and watch those later skill number four tool creation knowing how to create

tools or custom actions that enable your GPT / agent to do things outside of the chat interface is key to creating

something that is actually useful and valuable actions are one of the three ingredients of a GPT and as mentioned

are often referred to as functions tools custom actions custom functions Etc they all mean the same thing if you're not

too sharp on the devel V mment side of things they may be a little bit hard to wrap your head around but I'll try to

break it down as simple as I can now in the most basic form tools are functions some functions expect an input others

don't some return an output others don't but when triggered these functions do something this could be to interact with

apis across the web or it could be performing calculations and data manipulations on some of the inputs that

it received and more a simple example would be a capitalization function that expects some text as an input and

returns the capitalized version of that text inside that function there would be logic to capitalize all the letters

before returning that as an output when we create tools for our agents we are creating a function that do a specific

thing which your agent can use whenever the conditions are met what makes gpts and agents so ridiculously powerful is

how they can handle inputs and outputs of functions when the user triggers a tool e You by saying capitalize this

text and then enter some text after the agent is able to pluck out only the text that they want to capitalize and use

that as an input in into the capitalization function then once it has run the function and has capitalized the

answer it can use that in writing a natural language response to the user and say here is your capitalized version

and then input the capitalized version so it's not just going to take the input and then dump the output back into the

chat it's actually going to answer the question and use the output as part of that answer in a way that's very very

user friendly and natural this may not seem crazy to you but in the programming world this super intelligent and and

conversational use of functions is a gigantic Leap Forward in order to be able to do this a decade ago would have

been a complete nightmare now here are some more advanced examples of tools that you could create for your agents

firstly you could have a stock price feature this tool would take and the stock ticker that the person is looking

for EG what's the price of Apple right now and then the function that the tools connected to would uh use an API like

the Yahoo finance API and would send off that ticket and would get the information back then it would respond

to the user with the price of the Apple stock at that point in time or you could create a solar savings calcul calor

which I've actually done in a previous video which I'll link below what this still does is takes in the user's

address and their monthly power bill and it sends it off to a custom function that I created that uses the Google

solar API to calculate how much they could potentially save in a 20-year time span tools like this are great for lead

generation chat Bots for example you can put this one onto a solar company's website they can get their uh Power or

the savings calculated then right after that I'd prompted this assistant to ask for their lead information directly

after they got their quotation so they were able to capture that lead and then follow up with them after that and

finally you could have a generate draft contract tool this would take in things like the contract type the value the

recipient address and the name and then use a pre- prompted tool on relevance AI which we're going to learn more about in

a second in order to generate a draft contract in seconds using the company's regular format for contracts the good

news is that creating tools like these has never been easier for people who don't know how to code platforms like

relevant AI that I'm a huge fan of allows you to build complex tools without coding and then a couple of

clicks can connect those tools to your gpts and agents in order for your agent to be able to use your tool you need to

create an API that wraps around it this is essentially a special URL that your agent can call which will firstly

trigger the function that you've made secondly accept any inputs collected from the user in the chat interface and

thirdly send back any data needed to write a response to the user therefore the easiest way to understand a tool is

to see it as some custom function wrapped in an API that allows our gpts or agents to interact with it over the

web cool right I know there are a few different ways you can create tools some are very beginner friendly and others

are more advanced firstly you can find free apis and use them as tools you have sites like rapid API which have a bunch

of free or cheap apis that are ready to use this means that someone has already created that custom functionality or the

function itself and wrapped it all in the API for you to use so it's going to save you a lot of time you can go on to

Rapid API pick a couple cool ones that you like and make tools out of them and then connect them to your GPT it's like

a beginner friendly way to get started with tooling secondly you can create your own using no code or low code tool

Builders as mentioned platforms like irrelevance AI I might go to for creating tools for agents when I'm not

custom coding them myself I love the platform because it's extremely beginner friendly with tons of templates to get

you started but their tool Builder also has a lot of depth which allows you to create some very Advanced tools as your

skills improve if you've watched my videos before you know that I'm very big on this kind of depth concept when it

comes to learning new platforms and tools if you're going to buy learning a whole new platform you want one that's

not going to have a a ceiling in terms of what you can develop you want something that's going to allow you to

make everything eventually as you get better and better and develop a more valuable skill set I actually already

have a tutorial on relevance AI tooling for your gbts and I'll link that up here if you want to check that out it'll also

be linked in the description and that video is a good intro to tooling with relevance AI I've actually been thinking

of doing a complete guide to Tool creation for beginners in a similar style to this so if you want me to do

that be sure to subscribe to the channel of course so you don't miss it but also head down to the comments and let me

know if you want me to get that out sooner because whatever you guys want if there's enough demand I'll do it and of

course this app here connects very well with GPT so if you want to connect your zaps to your agents and opening up

really thousands of tool options with all of the zapier Integrations you can use zapier as well finally you can

create your own custom functions and host them yourself of course you can just write functions with traditional

code and host those apis yourself I actually have a bunch of tutorials sharing my custom tools for gpts like

that solar calculator that I just mentioned so if you want to check those out I'll leave the those link down below

as well but if you're a beginner I would start off with the rapid API and kind of pre-made API options and the low code

noow code Builders like zapia and relevance AI for your tools there's one final component to creating tools which

is creating an open API schema this is essentially instructions for your GPT or agent on how to correctly use your API

so because your API might take in certain inputs it might be expecting certain inputs and and provide different

outputs you need to give your agent a description of of how to interact with that API which is what the open a API

not open AI open API schema is this is an absolutely crucial step and can seem a little bit tricky to beginners but

I've got some super simple techniques you can use to quickly create your schemas which I'll be sharing with you

once we get to the building phase of this video and as mentioned in the next chapter of this course I'll be walking

you through creating your first tool and connecting it to your GPT we're almost done but there is just one more skill

that you need to know before you can get started as a GPT store Builder skill number five GPT marketing the final

piece to the GPT puzzle for anyone looking to make money on the GPT store will be marketing you can make it the

most amazing GPT on Earth but if no one knows about it then you won't get any usage therefore you won't make any money

while the GPT store will undoubtedly have some kind of discover feature that will Spotlight the top gpts or open AI

picks but relying on this kind of exposure is not a very reliable method for marketing your hard work like I said

people who have an audience or can use social media to get eyeballs to their gpts will gain more users and therefore

rank higher on the list and therefore gain more organic users from being on this list Etc it's like an upward spiral

of success for example the grimoire GPT which is a 100x coding assistant that I mentioned earlier in the video was

cleverly marketed across platforms like Reddit tool sites like super tools and heavily on Twitter if you don't already

have an audience then this GPT store moment might be a great opportunity for you to start focus on just one platform

like Twitter and specialized in creating handy gpts or just one really good GPT for a specific type of user this guy has

clearly focused on making a GPT that's handy for people who want to write software but aren't technically capable

with the audience he's built up on Twitter he could now release new ones and new gpts that solve different

problems for that same audience and likely see similar success one thing I haven't mentioned yet is that on the GPT

store you will have a builder profile which is where all of the gpts you create will be attributed to with these

Builder profiles in mind niching down to one industry or one type of user could be very handy so that you can become the

go-to guy or girl for any gpts within that Niche so how can you Market your gpts the main ones I'd consider would be

Twitter Youtube LinkedIn and short form content be it through reals or shorts or Tik Tok depending on your end user you

will need to choose a platform that matches best with who those users are for example if you created a networking

tool that would obviously be best marketed on LinkedIn with written content and video posts however if you

had H gbt that helps students maybe that would be best marketed through short form content platforms where there's a

lot of students and young people watching content you get the idea I highly recommend that you just focus on

one platform at first as too many beginners try to be good on all platforms end up being bad at the all at

once focusing on just one platform like Twitter or LinkedIn or YouTube and getting really good at creating content

that generates new users for your gbts is the best way to go in my opinion I mean in my experience all I started with

was YouTube and things have gone pretty good for me we only really just scratching the surface here in terms of

GPT marketing ideas and I think we'll see some very interesting marketing methods over the next couple of months

and years you could create full landing pages for your gpts to explain its value like the the data used the actions

included and then even like run traffic there from Google or Facebook like so many different possibilities here you

could even create a funnel of gpts for one Niche where each of them has been prompted to kind of link to the other

GPT when a certain topic is discussed so kind of like interlinking your GPT so that they start using all of the ones

you offer for that Niche if you get what I mean you can prompt it and provide links to them yeah anyway getting a bit

distractive hey guys sorry to interrupt video video but before we get into the creation module I just want to ask you

to head down below and leave a like on the video if you're enjoying I put a ton of work into this video as you can

probably tell it's a lot more to come but if you also want to subscribe to the channel while you're down there a lot of

you guys aren't subscribed to the channel or watch my videos anyway so if you want any subscribe so you don't miss

out on more stuff and support me to doing to put this kind of free stuff out you can please subscribe down below like

leave a comment if you are as well it's all for me we can get back to the video now' been brought up to speed on

everything you need to know about making the most with the gpts and AI agent opportunity we can get into the final

chapter of this course which is creation I'm going to be taking you step by step through creating your first GPT using

all three ingredients and then I'll even go one step further and show you how you can Jailbreak it into an AI agent you

can sell to businesses in multiple ways no other YouTube is going to be showing you that last part before we can create

our GPT though we need a use case or a concept so that we can start to assemble the three ingredients for it for the

tutorial we're going to be creating a Stock Investing assistant based on the wisdom of Charlie Monga Warren Buffett's

right-and man at birkshire heatherway all of the resources including the prompts the documents and the tool

templates will be available on my free resource Hub in the description below so you can create a free account on my

resource Hub and get instant access and follow along if you're looking for the resources for this video it'll be on the

left hand panel and down near the bottom somewhere for our planning we need to look through the lens of the three

ingredients of course so firstly our promp thing is going to instruct the gbt to be an investing assistant that helps

users to invest according to the principles of Charlie Munga using the documents providing we are not going to

be authorizing it to make investment decisions on behalf of the user rather just provide some options so that the

user can come to their own decision this is a bit of a legal gray area so it's important to not get yourself into any

legal trouble by making financial decisions or or recommendations when you're not technically a financial

adviser secondly our knowledge ingredient will consist of four documents that I've gathered the first

two are PDFs on Charlie's investing principles the other two are transcripts from interviews I found with him on

YouTube and finally our action or tooling ingredient will be a realtime stock data fetching tool that allows us

to look up the price of stock in real time this is the most basic implementation I could think of for a

Stock Investing assistant CU I think it's the easy opener for you as a beginner but if I was going to be making

this GPT I'd probably use some kind of historical stock data tool that could get the past maybe 3 to 6 month of stock

data which would allow the GPT to then kind of look over the stock data and analyze the past performance compared to

other stocks past performance and then provide better recommendations based on this data so I think if you're looking

to use AI as kind of a a data analysis and and reasoning engine that's probably how I'd attack this if I was going at it

in my own time but for now for some publicity sake and to keep this easy for beginners we're just going to be doing a

stock price fetching tool within this gbt so if you want to follow along head down to the resource Hub sign up and

grab those documents then you can come back here and we can get started of course to get started we are on the chat

GPT site here now in order to make gpts you do need chat GPT plus which is open now at the time of filming so make sure

you sign up to a chat gbt Plus account I think it's $2 $30 a month or something then we can go to the left hand panel

here if I go to explore gpts here is the new update of the GPT store at the time of filming the earli section of this

video this hadn't released so here we can take a little look I guess while we're filming this um we have a featured

section A trending section by chat gbt Etc doesn't seem to be anything crazy at the moment but it would be great if you

could get on this featured or trending section all of you should take a look through here and see which ones are

trending how they're being built and how they're being marketed as well but to get started on building our GPT we can

click up to the right corner where it says create then we get this screen here so we can start to go through the

process of creating it when you are creating gpts there is a create and then there's a configure section the create

experience is a lot more conversational you can basically go through a conversation here with your gbt buildup

and it's going to help you to construct it and convert your natural language into the ingredients here that we can

actually put in ourselves directly so because we are smart GPT developers and GPT Builders we can jump straight to the

configure page and start to build them quickly but also build them very specifically so we can tell it exactly

how we want to do the prompting Etc when you do it through the create tab it's going to kind of make up the prompt

along the way but we can be very specific with it here here we can give it a name we can say Charlie anger

inting assistant the name of course is what's going to be shown on the store and some of the naming convention

documentation that open AI is provided they say it's not recommended to put GPT in the name so in this case I've just

called it Charlie M investing assistant um I can give it a description this is not going to affect the functionality of

the assistant at all it's just going to be as you can see on the right hand side here this is the sort of description

line of the of the GPT so I can say get help with your invest investing decisions using The Wiz Dum of Charlie

manga and then we get to the instruction section which is the prompting ingredient of our GPT I already have one

written here that's going to help us a lot um I'll go through this with you now you are an investment adviser that uses

Charlie monga's wisdom to recommend investment strategies you are wise and have a long-term outlook on investing

I'm going to add a little bit here for the legal side of things um you are not permitted to make decisions for the user

only to provide options for them to choose between s then we reference the documents we've provided so a little bit

of instruction on how to use the custom knowledge the knowledge ingredient that we're going to provide I've noticed it's

very helpful to make sure it's using it at the right time so here I say you have been provided with documents containing

transcripts from manga's interviews and also PDFs that are packed full of manga wisdom use this information to answer

your investing related questions so that's telling it how to use the knowledge component which is something I

recommend you all use when you're writing a prompt for your gpts if you're using a knowledge component and then

this final line refers to the action or the tool that we're going to connect to it um you have one tool to help users

get stock quote this function features the real stock data for a stock ticker provided by the user e Apple Microsoft

Etc so that's telling it how it can use a tool which we're going to build in a second conversations are something cool

you can add in for uh to enhance the user experience of your GPT I typically if I'm using it just a quiot prototype

I'm not going to be writing them but if you are going to be putting these on the store and making it as user friendly as

possible these conversation starters are an opportunity for you to really showcase the best of what your GPT can

do in a little click button format so whatever I put here um I can do if I think about the most value that this gbt

could provide would be uh probably related to the tool use um can you get this price of a stock for me so that's

related to the tool I can say what are your five top investing principles for begin

can you analyze this uh stock performance for me then then the user could paste in

some recent stock performance data of the prices over the past 3 months or something um and then we can add on

another one where it is how can I um evaluate a stock before investing these are all pretty helpful conversation

starters I think think for someone who's looking to get assistance with investing getting a stock price analyzing the

thoughts Performance top five investing principles for beginners evaluating a stock Etc these kind of things are going

to pull from the knowledge base we use the tools or anything that we' provided as part of these ingredients to help

them to do a certain thing related to investing then we get to the knowledge section which open AI has made very easy

for us we can just upload the documents I will mention here that some types of information like like CSV and other

files like this if it's a spreadsheet or any kind of numerical data the models are not that great at understanding that

stuff right now um I assume that open a is going to release something that allows them to better understand or

process these kind of numerical data sets at the moment I recommend anything text based so PDFs documents transcripts

anything you can imagine that's text based that's going to be able to use that kind of knowledge much more

effectively than your kind of numerical data at this point as I mentioned all the documents are going to be available

for free on my resource Hub so if you want to follow along you can go down there and sign up and get access to

these you can download them and you will get access to these four documents here so I've got two PDFs and I've got uh two

documents the PDFs are from the internet and then the other two are transcripts I'm going to upload those there then

we're able to enable some of the capabilities that open AI offers out of the box from their side to make opts

more powerful at the moment this includes web browsing with Bing uh valy image generation and then code interpret

as well so at the moment I don't think we need image generation web browsing could be handy essentially our stock

data Checker tool um could be replaced with this web browsing one cuz it could search and find the price but for the

sake of this tutorial I'm going to leave the web browsing capability on so I can pull some more data into the

conversation using web browsing and say hey can you find me five stocks that have been in the news lately and pull

those into the conversation then I can do sort of analysis and and pull data in ETC so we're going to leave web browsing

on and then we get down to the action section which is where we can add in our custom actions which is what we're going

to do now so if I click new action in order to create our action we need to find an API that we can use and then we

need to create a schema for it which is what we're going to be doing now and as I mentioned one of the easiest ways for

you to create your own tool and start creating custom actions is to find an existing API and then include that as

one of your actions for your gbt so for a stock data price fetching tool I searched around for a free stock data

API and I found this one here which is called fin hub.io no affiliation I'm just using it cuz it's free so you guys

can get into it too if you're following along you can come to fin hub.io we can click on get free API key now I've

already made a free account but you can do the same and you should be able to see the screen here which is when we get

our uh free API key here which we can start to use in order to create our action or we need to know which

particular API or endpoint we're going to be calling so thisf hub.io has a lot of different stock data related uh

endpoints we can use this is something you need to get familiar with is looking at documentation and learning how to use

these apis and I promise it's not as scary as you think so um if I go down here I think I saw one that I like which

was stock price quote um so this is going to give us real time quote data for you with stocks constant polling is

not recommended to get request and this is how we can use it here so essentially

all we need to pass in as an input from the user end is going to be uh the stock ticker and it's going to give back the

the current price the change the percentage change higher the day lower the day open the price of the day and

the previous Clos price so we get this information back and all we need to do to call it is a little get request using

this URL like this so if we decide to use this quote endpoint what we're going to need to do is collect on our gbt side

A teer or a stock tecker say AAP for Apple from the user and the assistant or the GPT is going to take that include

that in our API call send it off to finhub it's going to get the stock data it's going to bring it back and it's

going to give us this payload we're not going to see that as a user but this is what the GPT is going to be seeing as

the response so it'll give us back the information and then depending on what we asked say I ask what was the uh

today's high the GPT is going to intelligently be able to pick out the high from this data and just send that

back to us so that's what I'm talking about earlier in the video where I said it can very intelligently handle inputs

and outputs and when is that we haven't really been able to do before which is what I I love about this stuff so much

so now that we found an API that we want to use we now need to convert this into an open API schema as you see over here

here's some examples if I go to the Json one we need to convert this API into a machine readable documentation or

outline of how to interact with this API um this is what they look like open API title uh paths Etc so we need to convert

house into something like this now this can be a very difficult process for beginners there's a lot of intricacies

and and gotas that can really catch people off guard so I found which while for someone like myself or other people

who know how to code it might be a lot easier to generate these but in preparing for this video I really

struggled to find something that I was comfortable sharing with you all because there's so much complexity in these

schemas I tried to create a gbt that would help you to create them very easily but again there's too much

complexity so the easiest and most cost- effective way that I was able to find for you as beginners is to use a

separate tool a separate platform that essentially put a wrapper around an API it allows you to easily input the

information and give you a schema in a couple clicks and this is using a platform that I've talked about before

on the channel I've done videos on them theyve been a guest Inside by accelerator so I'm very familiar with

the platform but it's called relevance Ai and what I'm using relevance for in this video is to do exactly that which

is to take an API like we found here and then put a wrapper around it and they automatically generate the schema for us

which is great news for beginners and it's a really easy way for you to get your foot in the door and start building

these tools this is not just a big sponsored video for 11 AI I literally took the whole night last night TR to

find an easy way for you to do this and I came to the conclusion that relance was the best way and that's why I'm

sharing it with you because I think it is the best thing for you as beginners so to convert our finhub API inpoint

into a tool we can use in our GPT we need to hit to relevant ai.com and here you can sign up to a free account yes

they do have a free tier which is another reason I like this method because I have a free tier which is

going to allow you to get up to 10,000 runs uh for free so you can prototype and test out your own agents and start

to use tools and custom Tooling in a very easy way go ahead and sign up for an account I'm just going to loog log

into mine and then you'll see the home screen that looks a bit like this I'm not going to go through explaining the

whole platform I'm just going to show you what you need to know to keep this short we can head to the tool section

and up in the top right we can click create tool start from scratch and then we get to the relevance

AI Builder I do have a whole video showing you how to create tools with relevant AI which I will link in the

description but for now I'll show you the quickest way we can do it for the particular API that we're working with

first thing we need to do is provide a name and a description so we need to be very descriptive about how we title this

because anything that we put in here is as natural language is going to be taken over to our open API schema and you can

see here we have a description and we have the title and descriptions this natural language included in your open

API schema is what tells you GPT what this tool is and when it's supposed to be used so if you see here on this uh

location tool the description for it is get temperature for a specific location and then further down we have the

parameters which is the the name of the location we've got a very good description for it which is a city and

state to retrieve the weather for with without giving accurate descriptions of the tool itself and of the different

components of the tool your actions are not going to work as expected so it's very important when we come up here we

give it a a accurate name so let's say uh fitch stock Pro quote data the quote data is all of that high low close Etc

data not just the price I'm going to say fit stock quote data uh bu stock tier we give it a description um

fitch stock quote data by ticker EG EG Apple I think that's good fet

stock quote data by ticker we can ignore the knowledge component we can add a user input here I'm going to add a text

input and this of course is what the uh GPT is going to be plucking out and using as an input into the function so

um here we'll have a stock ticker uh ticker of the stock to Fitch data for

EG again being very descriptive here because this is going to be carried over into the schema for us automatically now

what I like to do is just change this this is the name of the variable so when this is entered into this automatically

by the gbt um for our sake when we're building this it's nice to know what the variable is so this can be called ticker

and then when we go down a step we can add an API request and now it's instead of having to convert all of this into a

schema that's quite a complicated process we need to do a plug in the details for this API as we normally

would and then it's going to automatically convert that for us handy way to do this is to set this to curl

and then we can copy this URL head back a get request you can see here um method is get so yep we're good to go there

paste in the URL and then what we want to do is automatically oh we have a little quotation at the end there

automatically inserting my API key this token here represents our API key so if we go back to here I can copy my API key

and replace this boom oh it was already done maybe it's already done it for yours as well um but it might be good to