write(chunk) { addChunk(chunk); },
比如「想喝水」、「想要吃xx」、「想要xx」来帮她完善表达。我们会给她演示一遍，然后让她重复一遍，说对了或做对了就表扬她，鼓励她；也告诉她，有什么需要就大胆说出来。
。关于这个话题，同城约会提供了深入分析
这对于麦当劳来说，仍然是个艰巨的任务。虽然，根据麦当劳此前公布的数据显示，有超五成门店布局三至五线城市，但麦当劳在中国版图上的布局存在较为严重的“偏科”，存在“东重西轻、南重北轻”的偏好。这也就意味着，想要更全面深入的拓展全国市场，对于其管理能力、供应链建设都提出了较大的考验。
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: