The main variable in getting success with agents is whether you can get the agent the context it needs to do its work; and a major factor in that is if you can create a shared working area for that agent that a human can understand as well. This is one of the reasons why agents using file systems is such a big deal. It creates a unified system that both the person and the agent can work within to pass around data. “What they need is a working set: plans, notes, task lists, policies, drafts, summaries, logs, corrections, decisions, etc. For that layer, a filesystem-shaped interface tends to be more legible to both the model and the humans supervising it.” It turns out giving agents access to the systems we already know how to use, but in a way that is best optimized for them, is the perfect primitive for agents to work.
决定 agent 能否成功的主要变量，是你是否能为它提供完成工作所需的 context（上下文）；而其中一个关键因素，则是你是否能为这个 agent 创建一个人类也能理解的共享工作区。这也是为什么使用 file systems（文件系统）的 agents 如此重要的原因之一。它创造了一个统一的系统，让人和 agent 都能在其中协作并传递数据。“它们需要的是一个 working set（工作集合）：plans、notes、task lists、policies、drafts、summaries、logs、corrections、decisions 等等。对于这一层，一个类似 filesystem 的接口，往往对 model 和监督它的人类来说都更清晰易读。” 事实证明，让 agents 访问我们已经知道如何使用的系统，但以最适合它们的方式进行优化，正是 agents 开展工作的完美 primitive（基础构件）。