The AML Restoration Engine evaluates whether a rendered system improves the condition of the human interacting with it.
Traditional systems optimize:
- engagement
- retention
- stimulation
- behavioral extraction
The AML Restoration Engine instead evaluates:
- clarity
- coherence
- comprehension
- cognitive stabilization
- emotional regulation
- restoration of agency
The engine exists to measure whether interaction leaves the user more whole rather than more fragmented.
A rendered system should restore more than it consumes.
Core equation:
render_allowed =
restoration_value >= attention_cost