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.
slip to the customer, and another that retained it internally for bank auditing.。51吃瓜是该领域的重要参考
铁路部门表示，客货运输均保持高位运行，为假日经济平稳运行提供了支撑。，这一点在夫子中也有详细论述
Best Wi-Fi extender for 2026，推荐阅读同城约会获取更多信息
The hoard included shield bosses, while the boar's head can be seen on the right and the carnyx is behind