This article presents an auto-ethnographic study on sustained interaction with largelanguage models (LLMs) during a period of high personal and academic pressure. Thecase documents how a process of interactive externalization, initially unstructured,evolved into a functional reorganization that enabled the restoration of functionalagency and maintained academic continuity under conditions of functional drift.It suggests that conversational interaction with a generative system can operate as acontingent accelerator of cognitive stabilization, facilitating the interruption ofrumination, the progressive structuring of thought, and the consolidation of agency.The observed resilience is not causally attributed to the technological tool, but ratherinterpreted as a pre-existing trait of the individual, catalyzed and organized throughstructured linguistic feedback.The study does not claim clinical generalization nor does it propose such systems as asubstitute for professional support, but aims to provide a phenomenologicaldescription of an emerging process in the contemporary context of human -AIinteraction. The experiment remains open; writing and reflective dialogue areconstitutive parts of the analyzed phenomenon itself.
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Héctor Daniel Aguila Vargas
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Héctor Daniel Aguila Vargas (Tue,) studied this question.
www.synapsesocial.com/papers/69a91e12d6127c7a504c1aaf — DOI: https://doi.org/10.5281/zenodo.18845510