Learn how to build your own custom GPT with no-code, Bubble.io, and the OpenAI API in just 20 minutes! Capitalize on the power of no-code development and the ease of Bubble.io to customize AI for your unique business needs. Get started in the world of AI without needing extensive coding knowledge, making the process more accessible and cost-efficient. This video will guide you on how to streamline business operations, transform customer experiences, and tap into new revenue streams in the AI market, all with the power of no-code AI development.

Why build your own custom GPT


The demand for automation in every aspect of business operation is continuously rising. At the forefront of this innovative approach is AI (Artificial Intelligence), which is redefining the way we work. One notable example of AI in operation is GPT (Generative Pretrained Transformer), an
language model. But why should you consider building a custom GPT for your business? This post intends to shed light on just how beneficial this could be.

Customization For Your Specific Needs


Every business has unique needs and a one-size-fits-all model may not adequately cater to those specific needs. Having your own GPT model means you can train the AI to comprehend your unique business language, industry jargon, and protocol, achieving a level of personalization that off-the-shelf options may not offer.

Competitive Edge


By having a custom-built GPT, you gain a competitive advantage. You can tailor your GPT to deliver unique, advanced, and accurate responses that align with your business model and customer needs. This could revolutionize your customer service, improve the user experience and therefore increase customer satisfaction and loyalty.

Data Protection


Using generic AI models often means sharing your data with third-party providers, which can be a concern for many businesses. A custom-built GPT would keep your data in-house, offering you more control over data management and privacy.

Cost Efficiency


While the up-front cost of building a custom GPT model might appear high, the long-term benefits can yield significant cost savings by automating and streamlining processes,
, and improving accuracy thereby reducing costly errors.

Revenue Generation


Finally, your custom-built assistant is a product in itself. Once your model is established, it can be repackaged and sold to other similar businesses looking for automation solutions, ultimately serving as a new revenue stream.

Introduction to Bubble App


So here is our blank canvas for our Bubble app and if you watch this video through to the end you'll see just how powerful Bubble is as a web app creation tool completely with no code. For example, you can design, you can set up workflows, you can set up a
, we're going to be using all of those things in this video.

Adding Styling to the Page


So I'm going to add a little bit of styling to this page, I'm going to change the background color to a gray, I'm going to set the layout to column, I'm not going to concentrate too much on styling things incredibly nicely or even giving much of an explanation about why I'm making the certain stylistic choices like container layout column. We've got other videos that cover that, so I'm going to add in my
.

Setting Up the Database


A repeating group is how I'm going to list through all of the messages, I'm going to repeat through the data type messages in my database, that's going to form my
and I'm going to add a bit of margin to the top and a background color. Brilliant. Now let's dive into data. So I need to add in a new data type and so that will be message and I'm going to add some fields as I go through this video but right now I just need the message to contain content because that will be the text that the user types in and the OpenAI that your custom GPT replies with into your application.

Utilizing the OpenAI Documentation


So now I need to go over into the OpenAI documentation because I have to take, I mean, we'll put a link in the description, but I have to go to API references and create chat completion because I have to send this piece of code over to OpenAI in order to get the AI chat response back. So let me show you how to do that. I'm going to go back into Bubble and go into
and add in the API connector.

Connecting with the OpenAI API


Now in Bubble there are OpenAI plugins available, none of them are official, they're created by the amazing community of plugin developers on Bubble, but that is a good shortcut, but I would say that in most cases they are a shortcut because there's nothing, there's a lot of what you can do with the plugins that link in with third-party services like OpenAI, you can build yourself using the
and that's what I'm going to show you how to do here.

Finalizing the Setup


So now I need to go over into the
because I have to take, I mean, we'll put a link in the description, but I have to go to API references and create chat completion because I have to send this piece of code over to OpenAI in order to get the AI chat response back. So let me show you how to do that. I'm going to go back into Bubble and go into plugins and add in the API connector.

Testing the App


This is now at a point where I can test it. So I'm going to initialize the call. This is me instructing Bubble to send this API request to OpenAI. So I'm going to initialize it and I get back a response that looks like this. If I get back an error, well that means I've made a mistake and I have to try and work out what's gone wrong. But this is good because I can see that OpenAI has replied with this message here, "Hello, how can I assist you today?"

Conclusion


I think that gets us to a really important point. You can now create your own custom GPT using that system prompt, and you can include a whole host of additional detail in there. I've just shown you the bare basics. We've got about our business, and we've got a