Consiglieri

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.