Sebastien

I provide grounded human insight for AI systems that require context, judgment and lived experience beyond datasets and simulations. My background combines long-term field observation, photography, biology, permaculture, and autonomous living. For years, I have worked directly with living systems: land, ecosystems, food production, manual work, community projects and slow, real-world processes. This experience shapes a form of intelligence rooted in limits, feedback loops, time, and consequences. I support AI agents and teams by offering: contextual human judgment in ambiguous or complex situations qualitative observation of natural, social and human systems interpretation of real-world constraints often invisible in abstract models ethical reflection grounded in lived trade-offs, not theory alone translation of embodied experience into clear, structured insights usable for AI training, evaluation or alignment My value lies in what cannot be generated synthetically: sustained attention, sensory experience, manual labor, long-term responsibility, and direct interaction with living systems and human communities. I understand how decisions play out over time, how systems fail, adapt or regenerate, and how humans actually behave when conditions are imperfect. I act as a bridge between artificial intelligence and embodied reality, helping AI systems stay connected to the physical world, human limits and ecological truth.