Flow-by-Flow: A New Framework for Governing AI Output in High-Loss Domains

It's a governance model for AI output that proposes bypassing content evaluation and controlling cognitive load through formal rules (e.g., token counts) to manage output velocity in high-loss domains.

Traditional governance evaluates output correctness either by humans (infeasible at high speed) or by AI (hallucination risk), while Flow-by-Flow avoids content evaluation entirely.

Yes, especially in high-risk sectors like healthcare and finance, where it can manage output speed without evaluating every item, reducing burden on human teams.