AI is the first technology where the engineering isn't the hard part — understanding is.
The models are here. APIs, open weights, off-the-shelf frameworks — the
technical bar has never been lower. The real work has shifted. Which
question should I actually ask? Which data do I know? What is the system
allowed to do, and what not? What counts as "good enough"?
I work at that seam — between domain and model, between research and
production. PhD in Cognitive Systems from the University of Bamberg,
fifteen years in interdisciplinary teams, and still with the editor open.
If you want a consultant who writes what he's talking about —
and stops when the job is done — you're in the right place.