Conversations with AI: What I Learned About Myself (luisfernandoyt.makestudio.app)

In a groundbreaking exploration of self-reflection, a developer engaged in 878 conversations with a personal AI coding agent over 86 days, generating insights into their own behavioral patterns and psychology. By utilizing four markdown files that serve as memory sources for the AI, the developer documented various avoidance strategies and self-doubt triggers, leading the AI to intervene at critical moments. For instance, if the individual repeatedly postponed tasks by saying "tomorrow," the AI would challenge this procrastination by prompting immediate action. This innovative approach revealed a detailed map of the developer's mind and behaviors, emphasizing the AI's role not just as a technical tool but as a partner in self-discovery. The significance of this exploration lies in its potential implications for the AI/ML community, highlighting how AI can enhance personal awareness and productivity. By integrating features such as screen tracking, the project aims to refine its understanding of the user's behavior beyond self-reported data, uncovering deeper insights into procrastination and motivation. This calls attention to the necessity for transparency in personal AI models, raising questions about user control and understanding of AI decision-making processes. As the developer plans to further hone the system, the exploration firmly positions AI as a mirror reflecting human patterns, ultimately pushing the boundaries of personal productivity technologies.