Each article in this series was subjected to a structured
multi-stakeholder analysis using a system that orchestrates a panel of
5-7 AI agents — each representing a distinct stakeholder perspective
(displaced workers, policymakers, investors, technologists, and
others) — through several rounds of position-building followed by
multiple rounds of adversarial cross-stakeholder debate.
The agents construct formal Toulmin argument breakdowns, identify
falsifiers, map system dynamics, and then stress-test each other's
reasoning under rules designed to suppress courtesy agreement and
reward genuine challenge.
The coordinator synthesizes the surviving claims, irreconcilable
tensions, and conditional theses into a final memo. The goal is not
consensus but clarity: surfacing the assumptions a thesis depends on,
the populations it ignores, and the conditions under which it breaks.
The process takes 20-40 minutes per article and produces analysis that
is often sharply critical of the source pieces. The goal is to surface
blind spots, identify what survives scrutiny, and give readers a more
complete picture than any single take provides.
