CONCEPT
Elaboration Literacy
The cultivated capacity — essential for AI-era practitioners — to distinguish output that is merely adequate from output that is genuinely special.
Elaboration literacy is the specific evaluative capacity that the AI age demands: the ability to tell the difference between the smooth and the special, between the adequate and the meaningful, between the output that functions and the output that matters. The capacity is not automatic. It must be cultivated through practice, through exposure to work that bears the marks of genuine human engagement, and through the development of taste that can discriminate between the statistical mean of the training data and the specific irregularities that mark authentic human contribution. Without elaboration literacy, the practitioner accepts the machine's smooth output as sufficient. With it, the practitioner recognizes where the elaboration layer must be applied.
In The You On AI Field Guide
The capacity connects to the biological perceptual system that evolved to detect effort-markers in made objects, but it requires conscious cultivation to operate reliably in an environment saturated with smooth AI output. The perceptual system can be trained — exposure to hand-made and machine-made objects, deliberate comparison, attention to the specific irregularities that