Building a ChatGPT clone with gpt-4o, claude 3.5 sonnet, gemini 1.5 pro using Cursor Composer only

The video demonstrates how to build a ChatGPT clone using advanced AI models like GPT-4, Claude 3.5, and Gemini 1.5 Pro with Cursor Composer, focusing on backend setup with FastAPI and frontend development using HTML, CSS, and JavaScript. The creator highlights key features such as conversation summarization, custom response formatting, and the importance of a user-friendly interface while sharing insights on the iterative development process.

In the video, the creator demonstrates how to build a ChatGPT clone using multiple advanced AI models, specifically GPT-4, Claude 3.5, and Gemini 1.5 Pro, leveraging Cursor Composer. The application allows users to engage in conversations while keeping track of chat history. The creator highlights the functionality of inserting custom system messages to change response formats, such as returning results in JSON. The video outlines how the application summarizes conversations after two exchanges and dynamically changes titles based on content.

The creator emphasizes the importance of Cursor’s Composer, a tool that facilitates the creation of multi-file projects efficiently. This feature allows for live coding and real-time updates, enhancing the development experience. The video mentions that the code files for the project will be made available on the creator’s Patreon, and they offer a detailed explanation of the development process, including the backend setup using FastAPI and the frontend with HTML and JavaScript.

A significant portion of the video focuses on the backend implementation in main.py, where the FastAPI application is initialized, and API clients for different AI models are set up. The creator explains how the app handles streaming responses from various providers, detailing the differences in how they process incoming messages and system messages. Moreover, they describe the summarization feature that condenses conversations into three-word summaries after two exchanges, showcasing the app’s functionality.

The frontend component is discussed through the index.html and script.js files, where the creator explains how the UI is structured using Tailwind CSS and how user interactions are managed through JavaScript. The functionality includes scrolling behavior, user input handling, and the ability to delete or load previous conversations. The creator highlights the importance of ensuring a responsive and user-friendly interface, which enhances the overall experience of using the chat application.

Lastly, the video touches upon the iterative process of developing the application with Cursor Composer. The creator shares their experiences of trial and error while establishing instructional prompts for the AI to follow. They stress the need for detailed instructions to avoid misinterpretations that could lead to incorrect implementations. Overall, the video serves as an educational resource for developers interested in building AI-powered chat applications, demonstrating practical coding techniques and project management using Cursor Composer.