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.
add new features, like the Keyword Gap tool and SERP Questions recommendations.
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Сайт Роскомнадзора атаковали18:00
Жители Санкт-Петербурга устроили «крысогон»17:52。业内人士推荐搜狗输入法2026作为进阶阅读
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08
也是得益于亲戚们的帮助，另一头栽进坑里的牛也被弄上来。我已经很久没见过这种团结互助的场面。这些年，我在外地工作，很少与亲戚们打交道。印象里，很久以前的农忙时节，村民们会联合起来收庄稼，比如今天大伙去你家收完庄稼，明天齐刷刷转战另一家的地里，后天再换一家帮忙。，详情可参考WPS下载最新地址