cafe.academy
Cognitive Adaptive Framework for Excellence
Medical learning system that transforms content into measurable competence. Combines CAFE Granularity (universal map of medical knowledge) with C-TAGS (C1βC5) to guide study, assessment and clinical training at the right level.
Most curricula measure "content covered". Exams and practice demand safe decisions under uncertainty.
This creates an illusion of progress: lots of study, little applicable proficiency.
Study hours
Real competence
Two layers that transform learning into competence
A semantic map of medical knowledge that organizes any specialty into layers:
Result: curriculum, AI and assessment speak the same language.
Each node on the map receives a mastery level:
Key principle: small topic doesn't mean simple thinking. A micro-topic can be at C1 or C4, depending on the evidence.
Three steps to measurable competence
Transform topics into concepts + trainable micro-skills
Assign C-TAGS by evidence (questions, cases, simulation, supervised practice)
Tracks define target-C per node and deliver adaptive training to proficiency
Concrete benefits of the CAFE system
By competence, not by chapters
On high-impact gaps
Single standard for authors and AI
Same core, multiple tracks
CAFE works as a Core. From it, Editions and Programs emerge for different objectives (exams, residency, clinical practice), adopted by Partners who can customize tracks, weights and evidence β without breaking the standard.
Granularity + C-TAGS
Exams, Residency, Clinical Practice
Schools, Products, Teams
CAFE is part of the MED.NET platform, the complete ecosystem for healthcare professionals
Medical Director
CRM-MG 44713 | Neurologist RQE 38089
Nexro Tecnologia Ltda
Neurologist, educator, and entrepreneur dedicated to transforming medical education through technology.