Health

作为一个重度AI用户，我在经历长期严重失眠后没有走常规的"排除变量"路线，而是用AI写了一个iOS app导出HealthKit数据，做多变量回归分析找到了真正的原因——晚上使用AI高强度思考。这篇文章分享了AI如何在全链条上提供执行力支持，也反思了人的judgment和认知上的成本结构，在AI时代如何重塑我们的决策路径。

After weeks of severe insomnia, I used AI to build an iOS app that exported HealthKit data and ran multivariate regression to find the root cause—late-night AI-assisted intense multitasking. This post explores how AI provided end-to-end execution support and why certain things still require human judgment.

Body weight is a poor metric—noisy, high latency, loose reward loop. Continuous glucose monitoring (CGM) provides real-time feedback on food and exercise, making weight management more effective and motivating.

体重指标噪音大、延时高、反馈慢。持续血糖监测仪（CGM）提供近实时反馈，直观展示食物和运动对血糖的影响，让减肥更有动力和方向。

Practical insights from "The Willpower Instinct": willpower as muscle, dopamine's role, self-forgiveness, and the key technique of pausing to recognize automatic decisions.

Key takeaways from "The Power of Habit": identify key procedures, build automatic routines with cue-routine-reward cycles, and cultivate willpower for lasting change.