Visionary Inner Landscape Archive: A Phenomenological Record of Inner Imagery Experiences with AI-Assisted First-Person Documentation

This archive documents an 11-month first-person phenomenological study of inner transformation processes conducted by an independent researcher in Japan (February–December 2025). It presents primary source material consisting of: - Vision-based inner imagery records - Somatic response logs - Temporal sequences of experiential change - Layered phenomenological descriptions without theoretical imposition The research intentionally excludes clinical diagnosis, therapeutic intent, and external interpretation. All observations and interpretations belong solely to the researcher. AI was used as a collaborative tool for structural organization, safety monitoring, and transparency of documentation. Three AI systems (ChatGPT, Claude, Gemini) were employed with distinct roles, all clearly documented. It did not generate experiential content and did not function as an authority or interpreter. This archive is a non-clinical, non-diagnostic qualitative record based on systematic self-observation and ethical AI collaboration. It may be of interest to researchers in: - Qualitative psychology - Phenomenological methodology - AI ethics and human–AI collaboration - Transpersonal and consciousness studies