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.
Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36
More mackerel is caught in British waters than any other fish – in 2024 UK vessels landed more than 230,000 tonnes of the species.。业内人士推荐safew官方下载作为进阶阅读
Fermaw’s anti-tamper check was now returning a false negative. The enemy’s spy was wearing his uniform.，更多细节参见雷电模拟器官方版本下载
int sizes[num_classes] = {...};
Should I use multiple Wi-Fi extenders?，更多细节参见WPS官方版本下载