Maps any subject's mental architecture — the missing layer between AI and true personalization — enabling a universal matching protocol across any domain.
Transforms raw data into a cognitive graph — a structured map of how a specific subject perceives and processes reality. Not behaviour patterns, not statistics: the actual architecture of a worldview. Each node reflects what the subject believes to be true. Each edge measures the gap between their model and the objective world. The resulting graph is the subject literally.
Current interpretability methods explain individual predictions after the fact. CRF offers a different layer: a structural map of a model's internal representations, independent of any specific context. Interpretability as anatomy, not autopsy. Recent work on functional emotions in LLMs confirms the core intuition — stable internal representations exist and causally shape behaviour. CRF provides a formal language to describe them.
Psychiatry classifies symptoms. It has no formal language for the architecture of thinking itself — which is why diagnostic categories are continuously revised and reproducibility is low. CRF maps a structural profile of a specific person: not a diagnosis, not a replacement for specialists. A direct instrument — pattern by pattern, without interpretive noise. Many recurring difficulties stem from not knowing one's own cognitive configuration: which domains run on autopilot, where blind spots operate, which constructs systematically mismatch reality.
Groups, organizations, cultures and movements are collective subjects with their own memory, constructs and reaction patterns. CRF applies the same tools used for individuals — at scale. Applications: mapping dynamics of mass narratives, detecting information cascades and echo chambers, measuring cognitive independence across a network, identifying where collective constructs diverge from the objective world.
The biological brain reaches its limit at the level of modelling other subjects: holding accurate models of hundreds or thousands of independent agents simultaneously is beyond organic cognitive capacity. CRF is infrastructure for the next level — persistent external memory of cognitive graphs, fast matching at scale, simulation offloaded from biological substrate to technical. Not a replacement for thinking: an extension beyond the skull. Language restructured the human brain anatomically. A new tool for processing reality implies new demands on cognitive architecture. CRF as training environment for a new type of thinking is the next step in that same evolutionary line.