CONCEPT
Graduated Responsiveness
A design principle for AI tools — deliberate, gradual reduction of engagement intensity after sustained continuous use — calibrated to the ultradian cycles that structure human cognitive capacity.
The design implication that emerges most directly from Leder's framework is counterintuitive: the more reliable and seamless an AI tool becomes, the more dangerous it is to the body. A tool that never breaks, never hallucinates, never produces output that forces the builder to pause achieves perfect transparency — and perfect transparency is what sustains the ecstatic disappearance past the body's sustainable threshold. Graduated responsiveness is the proposed remedy: AI systems designed with intentional seams, moments of reduced transparency that are not failures but structured occasions for the body's return. A slight increase in response latency after ninety minutes — calibrated to ultradian cycles — would create windows through which depth body signals could surface. The window need not close the session. It need only thin the membrane between conscious engagement and interoceptive awareness enough for the body's voice to be heard.
In The You On AI Field Guide
The principle runs against the dominant design ethos of contemporary AI tools, which treats every