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.
[어린이 책]‘내향인’ 호텔 직원이 VIP 손님 대하는 법，更多细节参见搜狗输入法2026
Lovell signed up to a programme that sent him to college at the military's expense while training as a fighter pilot.。关于这个话题，搜狗输入法2026提供了深入分析
（三）非法进行影响国（边）界线走向的活动或者修建有碍国（边）境管理的设施的。
Екатерина Щербакова (ночной линейный редактор)