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.
Подачу ресурса отключили в понедельник, 23 февраля, когда поселок накрыл мощный циклон со шквалами ветра. В результате из строя вышел дизель-генератор. Из-за аварии приостановил работу местный детский сад, в школе и интернате все эти дни не работают столовые. В магазинах сельчане разобрали все свечи и газовые баллоны для плит.。关于这个话题，同城约会提供了深入分析
Defence department official Emil Michael has previously said the agency wants OpenAI, Google, xAI, and Anthropic to allow the Pentagon to "be able to use any model for all lawful use cases."，推荐阅读下载安装 谷歌浏览器 开启极速安全的 上网之旅。获取更多信息
音頻加註文字，陸劇《甄嬛傳》「馬拉松」如何成為台灣年輕人過年的「文化習俗」？
The same issues exist on the WritableStream side. A WritableStream has a highWaterMark and desiredSize. There is a writer.ready promise that producers of data are supposed to pay attention but often don't.