I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
，详情可参考同城约会
After their youngest child started school last September, he set up a consultancy that he works on during school hours.，详情可参考91视频
"completed": false,，这一点在爱思助手下载最新版本中也有详细论述
Forever 21的路径则更激进。其在破产后被Authentic与SPARC收购，随后在中国通过本土合作方重启。Forever 21强化电商曝光、音乐节快闪与IP联名等动作，试图借助内容营销与下沉市场重新聚焦年轻客群。但与此同时，线上渠道同类价位带的白牌混杂、价格竞争激烈，也让品牌资产面临被稀释的风险。它证明了授权与电商可以快速“回归”，却也暴露品牌管理若失去清晰定位，很容易沦为效率型商品的风险。