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.
Ранее стало известно, что управляющая компания (УК) рискует получить штраф до 350 тысяч рублей за плохую уборку снега и наледи на крыше дома.
。关于这个话题，服务器推荐提供了深入分析
所有多模态数据均纳入统一元数据服务，继承企业现有权限管理体系。无论是大数据工程师还是 AI 开发者，均可在统一平台中进行数据访问控制、团队协作与审计追踪，确保数据安全合规，提升跨团队协同效率。。业内人士推荐heLLoword翻译官方下载作为进阶阅读
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В России ответили на имитирующие высадку на Украине учения НАТО18:04