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.
Drop all pages where the scavaging count is n
，更多细节参见91视频
Over the past year or two, I’ve seen many organizations, large and small, implement passkeys (which is great, thank you!) and use the PRF (Pseudo-Random Function) extension to derive keys to protect user data, typically to support end-to-end encryption (including backups).
不过正如文章一开头提到，Google 手握一整个 Android 生态，有着绝对的号召力和掌控力。