This year's annual review, I asked the AI Agent for assistance and conducted a data-driven deep inventory of myself. I share this process because it requires no programming experience and allows you to easily complete professional-level data mining. It's even simpler than Vibe Coding, requiring just: full data + Coding Agent. To validate the limits of this process, I specifically selected the largest and most complex 10-year health records from my personal data for stress testing. 1️⃣ Data Scale and Processing Threshold The final data exported from the Apple Health App is a raw health data file from the Apple Watch, totaling 3.5 GB in size. This file contains hundreds of thousands of heart rate records and various finely-grained physiological indicators. Before AI intervention, processing data of this scale would require me to invest several days studying Python libraries and spend a lot of effort parsing complex XML data structures. This is often the biggest obstacle many face when it comes to "quantifying oneself." 2️⃣ Agent-Enabled Workflow When we introduce a Coding Agent (like OpenAI Codex or Claude Code), the entire process is completely transformed. You no longer need to focus on specific code implementations; you just need to clarify the "analysis goals." The Agent will automatically execute a recursive loop: autonomously study the data structure → write Python processing scripts → encounter abnormal structures → research and correct the code again. It can independently complete the entire process from cleaning to analysis, helping me realize many ideas that were previously shelved due to high technical costs. If you don't know how to start, you can first tell it the background of the task and the corresponding files, allowing it to explore on its own, for example: ...