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:
But—and this is crucial—that does not make Cowork a substitute for systems designed to handle authoritative legal work. And conflating those categories obscures what’s really happening in the market.，详情可参考PDF资料
。业内人士推荐哔哩哔哩作为进阶阅读
"We continued good-faith conversations about our usage policy to ensure Anthropic can continue to support the government's national security mission in line with what our models can reliably and responsibly do," Anthropic said in a statement.，更多细节参见PDF资料
视频开始35秒后，萨吉德·阿克拉姆离开了桥上的射击位置。
В Москве прошла самая снежная зима14:52