ATM. ATMs hand out cash, and one thing we all know about cash is that once you
* @param right 右边界（不包含）
，详情可参考搜狗输入法2026
（二）在英雄烈士纪念设施保护范围内从事有损纪念英雄烈士环境和氛围的活动，不听劝阻的，或者侵占、破坏、污损英雄烈士纪念设施的；
这趟香港之行，让杜耀豪发现，历史的宏大叙事之下，盘根错节的尽是私人怨怼与创伤。他意识到，“虽然自己的初衷是验证越南历史，但发现个人的和政治的难以分开”。
Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.