Interacting with large language models (LLMs) can be mentally exhausting, as it requires significant social energy that could be better utilized in human interactions. Unlike using traditional tools, which feel integrated into physical actions, conversing with LLMs lacks the social ritual aspect of communication.

Great interfaces feel natural and intuitive, often resulting from many small design elements that enhance user experience. Effective design is characterized by its invisibility, guiding users seamlessly without drawing attention to itself.

Stress disrupts the hippocampal integration of overlapping events, affecting memory inference in humans. This disruption impacts the ability to form structured knowledge representations and infer novel relationships from distinct experiences.

Human DX focuses on discoverability and forgiveness, while Agent DX prioritizes predictability and defense-in-depth. Retrofitting a human-first CLI for AI agents is ineffective, necessitating a design specifically tailored for AI agents from the outset.