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.
5AE COUNTR - SLCTR TST_SEL_CS PTSELE ; test selector (in LCALL delay slot)
。关于这个话题，搜狗输入法2026提供了深入分析
国产大模型 2 月霸榜 OpenRouter，MiniMax、Kimi 领跑全球 Token 调用量
The Dreamie is refreshingly compact, too. It takes up significantly less real estate on my nightstand than the Philips Wake-Up Light I've been using forever, or something like a Hatch Restore. The smaller footprint is something I appreciate as a person always battling cluttered surfaces. That also makes it better for travel. Since podcasts and sleep insights aren't available yet, I haven't been able to test those out, but they're non-critical features for me. The company has shared an estimated timeline of Q1-Q2 for these features to arrive, with podcasts likely coming first. They'll be nice to have, podcasts especially, but the Dreamie is more than able to do its main job of creating an environment that supports better sleep without those things.
2023年4月，胡永林参加招商会，宣讲人不断讲述数字人直播的市场前景。 受访者供图