How (and Why) to Integrate ChatGPT into Your Mobile or Web Product

Artificial intelligence like ChatGPT will change our world. Not my words, actually — it was Bill Gates who said that ChatGPT integration in the workplace will change how we do things.

Yet, not everyone shares the same enthusiasm. For example, Apple co-founder Steve Wozniak believes that while this chatbot can do “pretty impressive things”, it can also make “horrible mistakes”. So instead of just blind-following the technology, it’s always important to clearly know why and how you’re going to use it.

However, you may say that chatbots and AI models have already been around for a while, so what’s the hype about? Rather than holding a lecture on AI development history, we'll provide you with a list of pros and cons of this model to help you make an informed decision before you integrate Chat GPT into your system.

It means the possible benefits of ChatGPT Integration go beyond “write me a LinkedIn post” tasks. Do you need to optimize a supply chain for your manufacturing business, introduce fraud detection for a banking app or improve the recommendation system on your eCommerce website? That can be done, too!

Therefore, we gathered a bunch of interesting use cases to inspire you. For your convenience, we broke them down into 5 categories:

• content generation
• workflow management
• customer experience & interaction
• security and compliance
• workflow optimization.

However, if you don’t find something that perfectly suits your needs in the use cases we share below, make sure to check a little bonus we’ve left for you at the end of this section.

Content Generation 📝

First things first, many businesses really integrate ChatGPT to perform content-related tasks. Yet, its possibilities aren’t limited just to writing — the bot can perform more complex tasks. Let’s take a look at a few examples:

Workflow Management ⏱️

If the product you're building aims at workflow optimization for your end-users, integrating with Chat GPT can enhance some of its features. Here are some examples:

Customer Experience & Interaction 👍

The use cases from this section may be relevant to quite different products — from eCommerce marketplaces to fitness apps. This is so because they’re mainly focused on improving the overall user experience, regardless of the platform (web or mobile) and niche. Here are a few examples:

Security and Compliance 🛡️

By integrating GPT-3 Chat, you can address possible security issues. Thanks to its ability to work with large volumes of data, it can help with spotting suspicious activity or revealing the weakest places in your security infrastructure. For instance:

Workflow Optimization 📑

Finally, the bot can also help not to reinvent the whole processes and workflows but rather adjust and enhance them where it’s possible. Thus, you or your users can get even more from what they already have. Some of the examples are:

Another way to learn more about its capabilities regarding your project in particular is to… ask ChatGPT! However, the quality of the answer heavily depends on the question itself. Thus, it’s necessary to write an accurate prompt that would put the bot in the relevant context.

But don’t bother doing it from scratch, as we did it for you! Below you can find a prompt example that will help the bot provide you with a detailed and insightful answer. You just need to fill in the blank spaces and send it out!

From a technical perspective, there are several approaches to ChatGPT integration, each with its advantages and disadvantages. In this article, we decided to focus on 3 approaches:

• API integration
• using a chatbot builder platform
• custom implementation.

Let’s take a closer look at each option!

Option # 1: API

Difficulty of implementation: ⚙️⚙️/3

Customization possibilities: 📱📱/3

One of the easiest ways to integrate ChatGPT into your mobile or web app is by using an API.

Due to its simplicity, this method requires minimal technical expertise and resources. Thus, it can be a great option for businesses that want to quickly integrate a chatbot into their app without investing too much time or resources.

On the other hand, it provides fewer customization options compared to other methods. Therefore, you won’t be able to fine-tune ChatGPT to your needs but rather create an interface within your app so users can directly ask the bot.

Option # 2: Chatbot Builder Platform

Difficulty of implementation: ⚙️/3

Customization possibilities: 📱/3

Using a chatbot builder platform is an easy and accessible way to integrate ChatGPT into your mobile or web app. Such platforms usually come with a variety of pre-built tools and interfaces for creating chatbots, including integrations with ChatGPT.

Another thing that may be important to you is that chatbot builders often have subscription-based pricing models with different tiers. This means that you, as a business owner, can choose a pricing plan that suits your budget and usage needs, and gradually scale as your needs grow.

When using chatbot builders, it’s important to remember that the level of possible customization is defined by the platform itself. Thus, in some cases, you may go pretty far with setting your own design and functionality of the bot. At the same time, other platforms may have serious limitations on the types of responses that can be generated or the types of integrations that can be made.

Therefore, this solution may work best for business owners who want to integrate ChatGPT into their mobile or web app while having limited financial and time resources. Yet, the flip side of the coin is that they’ll have to deal with limited functionality.

Some of the chatbot builders that support ChatGPT integrations are:

• Chatfuel
• Landbot
• Tars.

Option # 3: Custom Implementation

Difficulty of implementation: ⚙️⚙️⚙️/3

Customization possibilities: 📱📱📱/3

This option is rather a mix of the previous two with its own specifics. Simply put, it requires creating your own chatbot from scratch and then implementing API integration.

Custom implementation is typically the most complex, requires the most technical expertise and resources, and is essential knowledge for those wanting to understand how to build a LLM. That’s because businesses must create a unique code base to interface with the ChatGPT API and develop their own logic to handle the user’s inputs and generate appropriate responses.

At the same time, custom ChatGPT integration provides the highest level of flexibility. Thus, businesses can design the chatbot’s responses and workflows to fit their specific needs.

The process of creating a custom implementation for ChatGPT integration involves:

• defining the chatbot’s functionality
• designing the conversation flow
• creating the front-end interface
• and building the back-end logic to interface with the ChatGPT API.

Depending on the scope of the project, this process can take anywhere from a few weeks to several months to complete. Furthermore, ongoing maintenance and updates may also be required as the chatbot is used and new use cases emerge.

Custom GPT Chat integration will suit businesses that require a high level of customization and control over their chatbot. For instance, businesses in regulated industries like finance and healthcare may need to adhere to strict compliance guidelines that require a custom implementation to ensure compliance. Additionally, businesses with unique user journeys and use cases may benefit from a custom implementation to create a chatbot that aligns with their brand and user experience.

Chat GPT Integration Examples 📱

If it seems a little bit risky to implement such new technology into your workflows, don’t worry. There are already some successful examples of ChatGPT helping businesses address their needs:

• Duolingo uses GPT-3 to provide French grammar corrections.
• Viable leverages ChatGPT capabilities to analyze customer feedback and provide its summary, urgency score, tone of voice, and other insights.
• Keeper Tax automatically find tax-deductible expenses by looking through their bank statements.