FT Digital Edition: our digitised print edition
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04，这一点在WPS下载最新地址中也有详细论述
，更多细节参见旺商聊官方下载
┌───────────────────────┐。业内人士推荐搜狗输入法2026作为进阶阅读
SourceTargetMean SSIMNotesWarang Citi digit (U+118EC)x-0.095Script digit vs Latin letterMathematical Script o (U+1D4F8)o-0.088Ornate calligraphic flourishesMath Fraktur l (U+1D574)l-0.083Blackletter vs sans-serifMath Fraktur g (U+1D50A)g-0.083Same issue
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.