AI Practice
Prompting, agents, coding workflows, evaluation, and applied model behavior.
AI Learning Lab / 个人技术学习空间
Learning artificial intelligence with a global systems view.
Capsule Lane documents practical experiments in AI tools, distributed networking, automation, and product thinking. It is a quiet place for learning in public.
这里记录关于 AI、网络系统、自动化和产品工程的持续学习。用中英文整理知识， 也用全球化视角理解技术如何真正落地。
AI
Learning
Agents
Cloud
Networks
Notes
Study Notes
From curiosity to working systems
从问题出发，把概念、实验和可复用的工程经验沉淀下来。
Infrastructure
Servers, private networks, observability, certificates, and resilient deployment.
Product Thinking
Small tools, interface details, bilingual writing, and durable learning loops.
Working Method
Build, verify, write, repeat.
The focus is not just reading about technology, but shaping it into usable systems: deploy a service, inspect the failure, improve the interface, and write down what changed.
Global by default
English for the wider technical conversation. Chinese for precise personal thinking. The goal is to move comfortably across languages, regions, tools, and communities.