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.
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08
。搜狗输入法2026对此有专业解读
他以亞洲蓬勃發展的短片與微劇為例，這類作品通常預算有限——約14萬美元即可製作多達80集、每集不到兩分鐘的內容。
Over time, he predicts, "We will see those service levels and speeds and experience improve, and we're already seeing some of that playing out."
She also suggests that criticism of her learning-focused business model carries hints of misogyny. “Women especially, are told this narrative of maternal instinct,” she says. “If that’s true, then every single moment of parenting becomes a barometer of whether you’re good enough: ‘Do I have the natural instinct to do this right?’ That’s a very, very overwhelming, shame-inducing space to be in.”