為什麼做這個網站
AI Agent 的資料很多，但資訊多不等於容易學。GitHub 專案、新聞、Local Agent、影片和實作筆記分散在不同地方，真正困難的是判斷先看什麼、哪些值得深入。
從收藏變成學習入口
我把內容依任務與使用情境整理，保留來源，也增加白話摘要與實作脈絡。網站的價值不在於收得最多，而在於幫助人更快形成判斷。
持續公開學習
公開整理讓我必須重新說清楚自己學到什麼，也讓每一次實作成為下一次可以重用的知識。
Why Build This Site
AI Agent material is abundant, but abundance does not make learning easy. Projects, news, tools, videos, and notes are scattered. The harder question is what to read first and what deserves deeper study.
From Collection to Learning Entrance
I organize material by task and use case, preserve sources, and add plain-language context. The value is not collecting the most; it is helping people form judgment faster.
Learning in Public
Publishing forces me to explain what I learned clearly and turns each experiment into knowledge that can be reused next time.