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.
of keyword ideas and filters search results based on the chosen search engine.
在上海居住多年的德商麥永剛（（Juergen Meyer）向BBC中文指出，即便德國盼望平衡雙邊貿易需求，但德企去風險化的工作遠遠不足，抵禦中國進口衝擊，不僅是汽車產業，德國的生物科技及化工產業情況都很險峻。。业内人士推荐搜狗输入法2026作为进阶阅读
"thinkingMigrationComplete": true,
，这一点在WPS下载最新地址中也有详细论述
（三）非法运输、买卖、储存、使用少量罂粟壳的。，这一点在谷歌浏览器【最新下载地址】中也有详细论述
Раскрыты подробности о договорных матчах в российском футболе18:01