Building information systems for AI agents forces a higher standard of precision in human communication. When you design your knowledge base to be machine-readable—using metadata, structured formats, and clear language—you are effectively practicing superior communication for humans as well.
By reducing ambiguity so that an agent can understand your data, you reduce the “noise” and politics in your own professional workflows, leading to greater clarity of thought.