Interactive AI : The M.E.L.A.N.I.E. AI Hybrid System Using a ChatGPT Plugin and Browser Extension

I. Executive Summary

This white paper discusses the development and implementation of a novel system that combines a ChatGPT plugin and a browser extension to interact with a WordPress API. The project’s primary objective is to create a dynamic and interactive interface that enhances the capabilities of OpenAI’s GPT-3 model, ChatGPT, by enabling it to retrieve and process data from a WordPress API.

The system is designed to interact with a WordPress site known as the OpenAI Prompt Project. This site organizes prompts in the form of WordPress posts, with each post’s excerpt serving as a unique prompt. The ChatGPT plugin is designed to search the WordPress API and retrieve these prompts based on user queries. The browser extension enhances this functionality by enabling real-time modification of prompts and seamless integration into the ChatGPT user interface.

The project’s main findings indicate that the combination of a ChatGPT plugin and a browser extension can significantly enhance the functionality and user experience of Chat

II. Introduction

In the current digital landscape, the demand for interactive and dynamic interfaces is ever-increasing. This is particularly true in the realm of artificial intelligence, where the ability to retrieve and process data from various sources significantly enhances the capabilities of AI models. One such source of data is a WordPress API, which can provide a wealth of information stored on WordPress sites. However, a challenge arises when we try to interact with a WordPress API via the ChatGPT interface. While ChatGPT is a powerful language model developed by OpenAI, it lacks the built-in functionality to interact directly with APIs in a dynamic and interactive manner.

This problem is particularly evident in the context of the OpenAI Prompt Project, a WordPress site that organizes prompts in the form of WordPress posts. Users of ChatGPT may want to retrieve and interact with these prompts, but the current interface does not provide an easy and interactive way to do so.

To address this problem, we propose a hybrid system involving a ChatGPT plugin and a browser extension. The ChatGPT plugin is designed to interact with the WordPress API, retrieving prompts based on user queries. The browser extension enhances this functionality by enabling real-time modification of prompts and seamless integration into the ChatGPT user interface. This combination of technologies presents a novel solution to the problem at hand, enhancing the interactive capabilities of ChatGPT and providing a dynamic interface for users to interact with the data from the WordPress API.

III. Understanding the Tools

1. WordPress REST APIThe WordPress REST API is a feature of WordPress that provides a way to interact with your WordPress site by sending and receiving JSON objects. It allows developers to interact with the WordPress back-end from outside the WordPress application. This means you can use the API to retrieve data from your WordPress site, such as posts, comments, categories, and more, or even create, update, and delete content on your site, all from external applications or plugins. In the context of our project, the WordPress REST API is used to retrieve prompts from the OpenAI Prompt Project site.
2. OpenAI GPT-3 and the ChatGPT Plugin SystemOpenAI’s GPT-3 is a state-of-the-art language model that uses machine learning to generate human-like text. It’s capable of tasks such as translation, question-answering, and even writing essays. ChatGPT is an application of GPT-3 designed specifically for generating conversational responses. The ChatGPT plugin system is a feature that allows developers to extend the capabilities of ChatGPT by connecting it to third-party APIs. In our project, we develop a ChatGPT plugin that interacts with the WordPress REST API to retrieve prompts based on user queries.
3. Browser ExtensionsBrowser extensions are small software modules that add specific functionalities to a web browser. They can modify the user interface, block ads, manage cookies, and more. In our project, we use a browser extension to enhance the ChatGPT user interface. The extension identifies the output from the ChatGPT plugin and modifies it to include interactive elements, such as clickable post titles that load the corresponding prompt into the ChatGPT input box. This allows for a more dynamic and interactive user experience, enabling users to easily explore and interact with the prompts retrieved from the WordPress API.

IV. Developing the ChatgPT Plugin

1. Creating the ChatgPT PluginThe process of creating the ChatgPT plugin involves several steps. Firstly, it requires understanding the OpenAI plugin system and its requirements. The plugin system uses a combination of a manifest file and an OpenAPI specification to define the plugin’s functionality. The manifest file includes metadata about the plugin, details about required authentication, and a link to the OpenAPI specification. The OpenAPI specification defines the endpoints the plugin will expose, the parameters these endpoints accept, and the expected responses.Once the specifications are defined, the next step is to implement the plugin functionality. This involves writing the code that will interact with the WordPress API, retrieve the necessary data, and format it for the ChatgPT UI. The programming language used can vary, but it should be one that supports HTTP requests and JSON processing, as these are essential for interacting with the WordPress API and processing its responses.
2. Interacting with the WordPress APIThe ChatgPT plugin interacts with the WordPress API by sending HTTP requests to the API endpoints. The specific endpoint depends on the data being requested. For instance, to retrieve posts, the plugin would send a GET request to the “/wp/v2/posts” endpoint. The request may include parameters to filter or sort the posts based on the user’s query.Once the plugin receives the response from the WordPress API, it processes the data. This involves parsing the JSON response, extracting the necessary data (such as post titles and excerpts), and handling any errors that may occur during the request.
3. Processing the API Response and Formatting for the ChatgPT UIAfter processing the data, the plugin formats it for the ChatgPT UI. This involves converting the data into a format that the ChatgPT UI can understand and display. For instance, post titles and excerpts might be formatted as a list of clickable links, each representing a different post.The plugin also needs to handle different types of data and ensure compatibility with the ChatgPT UI. This might involve additional processing steps depending on the data type. For example, if a post includes an image, the plugin might need to retrieve the image URL and format it as an HTML image tag.Finally, the plugin returns the formatted data to the ChatgPT UI, where it is displayed to the user. The user can then interact with the data, clicking on post titles to load the corresponding prompts into the ChatgPT input box.

V. Developing the Browser Extension

1. Creating the Browser ExtensionThe creation of a browser extension involves several steps and requires a good understanding of web technologies like HTML, CSS, and JavaScript. The extension is essentially a small program that modifies the functionality of a web browser, in this case, to enhance the ChatGPT UI.The first step is to define the manifest file for the extension. This is a JSON file that specifies important information about the extension like its name, description, version, and permissions it requires. It also points to various scripts that implement the extension’s functionality.The main functionality of the extension is usually implemented in a background script and/or content scripts. Background scripts are used to maintain the state and handle communication between different parts of the extension. Content scripts are used to modify the functionality of specific web pages (in this case, the ChatGPT UI).
2. Enhancing the ChatGPT UIThe browser extension enhances the ChatGPT UI in several ways. Firstly, it adds a search box above the default ChatGPT input box. This allows users to search for prompts from the WordPress API directly within the ChatGPT UI.Secondly, the extension modifies the ChatGPT UI to display the results of the search in an easy-to-interact manner. For example, it could display the results as a list of clickable links, each representing a different post from the WordPress API. When a user clicks on a link, the corresponding post excerpt (i.e., the prompt) is loaded into the ChatGPT input box.
3. Handling User Interaction and Integrating with the ChatGPT PluginThe browser extension handles user interactions like clicking on a link or searching for a prompt. When a user performs an action, the extension sends a message to the background script to handle the action. For example, if a user clicks on a link to load a prompt into the ChatGPT input box, the content script sends a message to the background script, which then performs the necessary action.The browser extension also needs to integrate with the ChatGPT plugin. This involves communicating with the plugin to retrieve the necessary data from the WordPress API. The extension can send a message to the background script, which can then use the Fetch API or similar to make a request to the ChatGPT plugin’s endpoint. Once the data is retrieved, it is sent back to the content script to be displayed in the ChatGPT UI.This setup allows the browser extension and the ChatGPT plugin to work together seamlessly, providing an improved and interactive user experience.

VI. Case Study: Integrating Ad Prompts into AI Thought Feeds

1. Introduction to Ad Prompts in AI Thought FeedsIntegrating ad prompts into AI thought feeds is a novel concept that aims to create a seamless and interactive advertising experience. Unlike traditional advertising methods that can be disruptive and often irrelevant, ad prompts in AI thought feeds are contextually relevant and integrated into the user’s interaction with the AI.The idea is to have sponsored prompts that are related to the user’s query or conversation with the AI. These prompts can be thought of as suggestions from the AI, but they are actually sponsored content from advertisers. The advantage of this approach is that it provides a non-disruptive and potentially more effective form of advertising.
2. Implementation of Ad Prompts in the ProjectIn the context of this project, the ad prompts are integrated into the AI thought feeds through the combined use of the ChatGPT plugin and the browser extension. The ChatGPT plugin retrieves the ad prompts from the WordPress API, just like it retrieves any other prompts.The browser extension then integrates these ad prompts into the ChatGPT UI. It does this by modifying the UI to display the ad prompts in a way that fits naturally into the AI thought feed. For example, the ad prompts could be displayed as suggestions from the AI in response to the user’s queries.
3. Results and Benefits of Integrating Ad PromptsThe integration of ad prompts into AI thought feeds has several benefits. For the user, it provides a more seamless and interactive advertising experience. The ads are contextually relevant and integrated into the conversation, which can make them feel less like ads and more like helpful suggestions from the AI.For advertisers, this approach provides a unique way to reach potential customers. The ad prompts are not only displayed to users but are also integrated into the AI’s responses. This means that the ads can be contextually relevant and targeted based on the user’s queries and interactions with the AI.Overall, the integration of ad prompts into AI thought feeds represents a significant step forward in the field of AI and advertising. It provides a more user-friendly and effective form of advertising, and it demonstrates the potential of AI to revolutionise the advertising industry.

VII. Conclusion and Future Directions

1. ConclusionThe project represents a significant advancement in the realm of AI interaction and advertising. By combining a ChatGPT plugin with a browser extension, we’ve created a system that allows for dynamic interaction with a WordPress API and seamless integration of ad prompts into AI thought feeds.The benefits of this hybrid system are manifold. For users, it offers a more interactive and personalised AI experience. For advertisers, it opens up a new, contextually relevant avenue for reaching potential customers. Moreover, the system’s ability to dynamically pull and modify prompts from the WordPress API adds a layer of versatility and adaptability that can be applied to various other use cases beyond advertising.
2. Future DirectionsWhile the results of the project are promising, there’s always room for improvement and expansion. Future directions could include refining the AI’s ability to pull and modify prompts, enhancing the user interface of the browser extension, and expanding the range of interactions between the ChatGPT plugin and the browser extension.Potential improvements could also be made in the realm of advertising. For instance, the system could be refined to allow for more sophisticated targeting of ad prompts based on the user’s past interactions with the AI or other indicators of user preferences.In conclusion, this project represents a significant step forward in AI interaction and advertising. But it’s just the beginning. With further refinement and expansion, the potential applications of this hybrid system could be virtually limitless.

VIII. References

1. WordPress REST API Handbook. (n.d.). WordPress Developer Resources. Retrieved from https://developer.wordpress.org/rest-api/
2. Brownlee, J. (2019). How to Develop a GPT-3 Chatbot with Python. Machine Learning Mastery. Retrieved from https://machinelearningmastery.com/how-to-develop-a-gpt-3-chatbot-with-python/
3. Mozilla. (n.d.). Your first extension. Mozilla Developer Network. Retrieved from https://developer.mozilla.org/en-US/docs/Mozilla/Add-ons/WebExtensions/Your_first_WebExtension
4. OpenAI. (2020). ChatGPT. OpenAI. Retrieved from https://openai.com/research/chatgpt
5. Coates, J. (2023). Dynamic Prompt Input Field Creation in Text Editors Using Bracket Enclosed Text. Patent pending.