Summary: AI-agent power users curate 3 kinds of context: global (across tasks), local (task-specific), and ambient (raw streams like email).


Advanced AI users have AI agents execute complex and laborious tasks for them. But the leverage they can get largely depends on the context the AI has access to. Without the right context, AI agents can produce generic or problematic outputs that don’t reflect users’ needs, business goals, or a product’s brand.

Curating the right context now matters even more than writing a good prompt .

The 3 Roles of Context

In a recent study with Claude power users — people who rely on the agent daily for substantial professional work — every participant had built a context library : a collection of files, databases, and live connections that Claude drew on alongside whatever the user typed in the prompt.



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