Human-AI Symbiosis as a Contingent Accelerator of Functional Recovery: An Auto-ethnographic Case Study

Abstract

This article presents an auto-ethnographic study on sustained interaction with large language models (LLMs) during a period of high personal and academic pressure. The case documents how a process of interactive externalization, initially unstructured, evolved into a functional reorganization that enabled the restoration of functional agency and maintained academic continuity under conditions of functional drift. It suggests that conversational interaction with a generative system can operate as a contingent accelerator of cognitive stabilization, facilitating the interruption of rumination, the progressive structuring of thought, and the consolidation of agency. The observed resilience is not causally attributed to the technological tool, but rather interpreted as a pre-existing trait of the individual, catalyzed and organized through structured linguistic feedback. The study does not claim clinical generalization nor does it propose such systems as a substitute for professional support, but aims to provide a phenomenological description of an emerging process in the contemporary context of human -AI interaction. The experiment remains open; writing and reflective dialogue are constitutive parts of the analyzed phenomenon itself.

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