Integrating Rivet into a local application is a process that involves several steps. The first step is to clone the Rivet example repository. This repository contains all the necessary files and instructions to get started with Rivet. Once the repository is cloned, the next step is to set up the project. This involves installing the necessary dependencies and configuring the project settings. After the project is set up, it can be connected to the Rivet debugger. The debugger allows you to interact with the Rivet environment and observe its behavior in real-time. One of the key features of Rivet is the ability to define external functions dynamically within the local environment. These functions can be used to extend the functionality of the chatbot application. The final step in the process is to perform prompt engineering. This involves tweaking the chatbot’s graph and utilizing GPT-4 to improve its performance in playing the game of 24. By following these steps, you can successfully integrate Rivet into your local application and enhance its capabilities.