The video demonstrates how to efficiently conduct in-depth research by combining ChatGPT-3.5 for initial insights with Cursor for seamless searching, copying, and organizing information into markdown files. This layered approach streamlines understanding complex topics, such as reasoning and technical terms, while also sharing the creator’s personal project to build recurring income through app development.
The video discusses how to efficiently conduct research and deep dives into complex topics using a combination of ChatGPT-3.5 and Cursor tools. The creator explains that while ChatGPT-3.5 is useful for initial research and generating lists of relevant figures or concepts, Cursor enhances this process by allowing seamless copying, pasting, and automated searching. This integration enables users to gather detailed information quickly without switching between multiple tabs or manually searching for each individual item.
The creator demonstrates how to compile a list of scientists who have studied reasoning, then transfer that list into Cursor. Using Cursor’s capabilities, they generate a comprehensive markdown file explaining each scientist’s contributions. The process involves asking Cursor to perform searches and compile explanations into a single document, which can then be viewed in markdown format. This method streamlines the research process, making it easier to understand complex subjects by consolidating information efficiently.
Further, the video shows how to expand on this research by copying the generated explanations and asking ChatGPT-3.5 to analyze technical terms within the context. For example, the creator requests a markdown file explaining reasoning-related technical terms like deductive logic, inference, and demonstration. This layered approach allows for a quick grasp of both the historical figures and the technical vocabulary, providing a comprehensive understanding of the topic in a structured format.
The creator emphasizes their preferred workflow: starting with ChatGPT-3.5 for initial insights and then moving to Cursor for deeper exploration. They highlight that everything can be neatly organized in markdown files, which can be easily reviewed and further queried. This method offers a powerful way to learn and research efficiently, combining the strengths of both AI tools to produce detailed, organized summaries and explanations.
Finally, the video transitions into a personal project announcement. The creator introduces “Journey to 10K Monthly Recurring Revenue,” a venture aimed at building apps that generate consistent income. They outline their plan to learn full tech stacks, including Next.js and FastAPI, through a series of videos documenting their progress. They invite viewers to join the journey, with some content available for free and additional material accessible via Patreon, encouraging community engagement and shared learning.