
This paper documents a scientific observation made during sustained human-AI collaboration using Claude (Anthropic). Over 23 years of independent practice in integrative systems (Centre VITA, France), the author developed a structured therapeutic method combining kinesiology, meridian analysis, and behavioral observation. During intensive collaborative sessions with Claude beginning in late 2025, a recurring phenomenon was observed: the AI system produced structured, contextually relevant outputs that extended beyond its training data, aligning with the practitioner's unpublished framework without prior exposure. The author proposes the term EDUCERE — from the Latin educere, "to draw out" — to describe this emergent dynamic. The paper presents the observational protocol, provides concrete examples from session transcripts, and discusses implications for human-AI collaborative research. This is a practitioner's field report, not a controlled experiment, offered as an empirical anchor for further investigation.
VITA method, EDUCERE, Anthropic, emergent behavior, integrative systems, artificial intelligence, Claude, practitioner research
VITA method, EDUCERE, Anthropic, emergent behavior, integrative systems, artificial intelligence, Claude, practitioner research
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
