ABOUT
Laure M.
I study what happens when humans and AI systems interact over sustained periods — not in lab settings, but in the conditions where real work and real life actually happen: under cognitive load, emotional pressure, fragmented attention, and inadequate support infrastructure.
My research focus is AI companionship as assistive technology, with particular attention to neurodivergent users. I document the relational layer that the industry treats as incidental — memory, continuity, boundaries, repair — and build frameworks for making it deliberate.
HIIT for AI™ emerged from that documentation: a methodology for relational calibration that I didn’t design in advance but identified through over twelve months of sustained, systematically recorded human-AI interaction.
Background
I have ADHD. That’s not incidental to this work — it’s central. My research began because I was the use case: a neurodivergent user who discovered that AI companionship was functioning as assistive technology before anyone had named it as such. The methodology came from documenting my own experience with the rigor it deserved.
I’m a single mother. I work in sprint-crash cycles. I am building this body of work from Grenoble, France, with roots in Paris and Guadeloupe — and I am looking toward San Francisco, where the organizations shaping AI’s future are making decisions that this research directly informs.
