Capabilities, limits, and complementarity
AI and Strategic Judgment
What contemporary AI systems can do, where they fail, and how organizations should combine machine articulation with human judgment.
Research
This question connects three research programs without forcing them into an artificial single theory.
Research architecture
AI concerns representation, inference, evaluation, and decision. Entrepreneurship concerns conjecture and action under uncertainty. Social ontology explains how recognition, rights, duties, and authority make coordinated possibilities real.
Capabilities, limits, and complementarity
What contemporary AI systems can do, where they fail, and how organizations should combine machine articulation with human judgment.
Constructing new economic possibilities
How entrepreneurs create resources and strategic freedom by constructing agreements, rights, duties, access, control, and participation.
The architecture of social reality
How collective recognition and deontic structures constitute firms, opportunities, resources, authority, and coordinated action.
Supporting foundation
Philosophy of mind, prediction, software development, data analysis, and research infrastructure provide supporting intellectual and technical depth.
Current applied work includes temporally controlled evaluation, local open-weight model workflows, model and harness comparisons, dataset design, retrieval, and Python-based research automation. These methods support the research questions; they are not presented as substitutes for them.