The video demonstrates how to transform the Cursor tool into a deep research assistant by creating a simple MDC rules file that guides the agent to conduct thorough research on user-defined topics. The presenter showcases the process using the topic “future of AI systems,” where Cursor generates relevant questions, performs web searches, and compiles findings into markdown and HTML reports, highlighting its efficiency and adaptability for various applications.
In the video, the presenter discusses how to transform the Cursor tool into a deep research assistant without relying on external libraries, Python files, or MCPS. The process involves creating a simple rules file, referred to as an MDC file, within Cursor. This file contains specific instructions that guide the Cursor agent to conduct in-depth research on user-defined topics. The presenter highlights that this method is part of a broader curriculum in their “Thousandx Cursor” course, which includes various applications of Cursor, such as building applications and facilitating interactions between multiple Cursor agents.
The core of the transformation process is the creation of a general MDC file, which is set to always be active for each request. The presenter explains that the rule instructs the Cursor agent to act as a deep research assistant, following a structured approach. This includes asking three relevant questions related to the user’s topic, conducting web searches for each question, and compiling the findings into both a markdown report and an HTML report. The presenter emphasizes the flexibility of the rules, allowing users to customize the steps according to their needs.
As the demonstration begins, the presenter inputs the topic “future of AI systems” into Cursor. The agent promptly generates three relevant questions and logs them into a text file. Following this, Cursor performs web searches for each question, showcasing its capability to gather information from various sources. The presenter highlights the efficiency of Cursor in managing these tasks and notes the URLs visited during the research process.
Once the research is complete, Cursor compiles the findings into a markdown report, which the presenter reviews. The report includes insights on the future of AI systems, detailing current and projected capabilities, industry adaptation, and timelines for advancements. The presenter also mentions that an HTML report is generated, featuring charts and graphs to enhance the presentation of the data.
In conclusion, the video illustrates how to effectively utilize Cursor as a deep research tool by leveraging a simple rules file. The presenter encourages viewers to explore the potential of this approach and suggests that it can be adapted for various applications. For those interested in further learning, the presenter provides links to their course and additional resources, emphasizing the value of the knowledge shared in the video.