Persistent Relationships
What a task-bound human–AI working relationship retains, and where human authority can weaken as it continues.
Read more →The problem
From the outside, the outcome looks simple. The task was completed sooner, or at a level that would previously have required more time, expertise, or assistance. Most performance measures record the gain and stop there.
The interaction may also have changed how the person understands the problem, makes decisions, corrects mistakes, or depends on the system. The system may retain parts of that history and use them later. None of this is visible in the finished output.
The research asks whether improved performance became durable human capacity, whether the relationship that produced it continues to shape later interaction, and whether the person still governs the conditions that produced it.
Those three questions are connected but distinct, and answering one does not answer the others. Perfinitive Research follows them separately, through three doors.
Three ways in
What a task-bound human–AI working relationship retains, and where human authority can weaken as it continues.
Read more →What people must remain able to see, understand, correct, govern, carry, and retire.
Read more →Whether an AI-assisted gain becomes durable human capacity, or stays with the system.
Read more →Then: what happens after a correction — Consequence → · How claims are supported — Evidence →