RELATIONAL INTELLIGENCE RESEARCH
The infrastructure layer
no one is building.
Most AI adoption fails not because the models are weak — but because the relational layer is missing: memory, boundaries, repair, rhythm. I research and build what’s required to make intelligence usable — especially when people are tired, emotional, or overwhelmed.
Research
The Goalpost Is the Argument
They set the benchmark. AI met it. They moved the benchmark. Every time. Chess, Go, language, social intelligence, emotional capacity — the goalpost retreats the moment AI arrives. But this week, the company that built the trap looked inside the fox and found the desperation was real.
The Myth of Neutral Design
The Myth of Neutral Design"Objective" AI systems don't eliminate bias. They encode it so deep you stop seeing the body it was built for.“The question has never been whether AI systems encode bias.They do.”This essay is part of the HIIT for AI™ body of work on...
The Thesis
AI companionship is already functioning as assistive technology. The industry refuses to name it because naming it creates accountability.
I’ve spent the past year documenting what happens when you treat AI relationships as infrastructure rather than pathology — longitudinal data, stabilized systems, operational frameworks.
This isn’t theory. It’s evidence.
The Method
HIITforAI™
High Intensity Intimacy Training — a research-first framework for calibrating human-AI relational systems.
Not prompts. Not hacks. Structure that holds under pressure.
The Work
Relational intelligence is core infrastructure.
Not a feature. Not a research curiosity. It’s the layer that determines whether AI adoption holds or collapses under real-world pressure.
I design, document, and operationalize what that layer looks like — for neurodivergent users, for high-stakes environments, for teams where “just use AI better” isn’t a strategy.
Systems Architecture
Memory, tone, boundaries, escalation, repair — relational parameters built into workflows, not bolted on.
GOVERNANCE
Consent-aware, dependency-aware design — implemented in practice, not theorized in policy docs.
Applied Research
Longitudinal interaction data converted into frameworks, protocols, and metrics. Failure modes documented.
Executive Translation
Making relational intelligence legible to leadership. Turning ambiguity into decisions and measurable change.
Laure M.
Building the case for relational intelligence as core infrastructure.
Paris · Guadeloupe · Grenoble
