从个人提示词库到 AI 工作流：Tomer Tunguz 谈提示词库如何提升创业公司效率
My Little Library
Tomer Tunguz 观察到，用户正在各自积累由提示词片段组成的"个人提示词库"，例如按自己的语气写博客、从团队笔记中提取行动项、分析 P&L 并关注毛利率、按公司评估标准写绩效评价、每月总结竞品网页以发现定位变化。他认为，随着 AI 能稳定执行这些流程，人们会开始把工作步骤写下来并配上个人风格，而这类提示词库需要软件来创建、分享、更新、衡量和运行，库越完善，工作效率越高。
In short : Explore how AI-driven personal prompt libraries enhance productivity for startup leaders in tech.
I didn’t notice it at first but there in the back corner of my laptop, I’ve been assembling a little library.
The library doesn’t contain books, but scraps of text that explain what an AI should do.
Visit Anthropic’s home page & you’ll find their collection :
Each of us will assemble these little libraries with tracts like :
- write a blog post in my voice about this topic
- collect action items to send to the team from team notes & format them in this particular way
- analyze the P&L for the finance team paying particular attention to gross margin
- write a performance review using the company’s stated evaluation rubric for my teammates
- summarize a competitor’s webpage every month to detect changes in positioning
As we work in a role, we have assemble these workflows and kept them to ourselves.
But partnered with reasonably competent robots who thrive on these programs, we are starting to write them down, explain exactly what we do step by step, and how we work. We will adorn them with our own idiosyncracies & unique lenses.
That little library will contain the secrets to how we each do our jobs. We will need software to create them, share them, update them, measure them, & run them.
The better our little libraries become, the more effective we will be at work.
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来源：Tomer Tunguz 博客 · tomtunguz.com