What does it mean?
AI agents can draw on files and instructions stored outside the current chat. The source discusses how users struggle to maintain these context files, even though their contents influence the agent's behavior. Good context is therefore not just something to collect once; it needs to be reviewed and updated.
Make it concrete.
Imagine an assistant writing project updates from old notes. A project has been renamed, but the agent keeps using the earlier name because a stored reference file was never corrected.
A common mistake.
Assuming an assistant's acknowledgement of a correction has also updated its underlying reference files.
When should you use it?
When an AI assistant is reused over time or starts repeating old project information.
Why keep this thought?
Maintained context improves consistency and reduces repeated user corrections.
Explore the source.
Nielsen Norman Group — Context Libraries: How AI Power Users Manage Context Engineering ↗An editorial interpretation of the linked source, not a direct quotation or endorsement.