The video showcases Cursor, an AI tool that autonomously creates its own functions to perform tasks, such as fetching stock prices, demonstrating its adaptability as an open-ended agent. It highlights Cursor’s ability to retain created tools for future use, handle errors, and emphasizes the importance of designing generalizable and reusable functions within its environment.
The video demonstrates how Cursor, an AI tool, can autonomously create its own functions to perform specific tasks, showcasing its capabilities as an open-ended agent. The presenter begins by querying Cursor for the latest NVIDIA stock price and the contents of the Cursor change log. When it realizes that the necessary tools do not exist, Cursor takes the initiative to create a new Python file named tools.py, which includes functions for fetching stock prices and web page content. This highlights Cursor’s ability to generalize and adapt by creating tools on-the-fly based on user requests.
After creating the functions, Cursor executes them via terminal commands, successfully retrieving the requested information. The video illustrates how Cursor handles errors, such as failing to fetch the NVIDIA stock price initially but later modifying the function to successfully obtain the data. The presenter emphasizes the importance of Cursor’s ability to write results to a file, demonstrating its functionality in a practical context. This showcases how Cursor can not only create tools but also utilize them effectively to answer user queries.
The video also explores the concept of session persistence, where Cursor retains the created tools even after being closed and reopened. This allows it to respond to new queries, such as fetching the Apple stock price, by utilizing the previously created functions. The presenter highlights the efficiency of this process, as Cursor can quickly access and execute existing tools without needing to recreate them, thus streamlining user interactions.
In addition to demonstrating Cursor’s capabilities, the presenter discusses the underlying rules and guidelines that govern tool creation within the Cursor environment. These rules emphasize the importance of designing functions that are generalizable, reusable, and capable of handling a wide range of inputs. The presenter explains that tools must print their outputs for effective execution and that functions should be designed to accommodate various data types and structures, enhancing flexibility and adaptability.
Finally, the video concludes with an invitation for viewers to explore additional resources, including a Patreon page where they can access source code and a course on using Cursor effectively. The presenter encourages viewers to engage with the content and provides links to their website and social media for further updates. Overall, the video highlights the innovative potential of Cursor as an AI tool capable of creating and executing its own functions, paving the way for more advanced agentic workflows.