Achieving Wave Function Collapse in Agentic Workflows

Multi-agent AI systems exhibit superposition-like behavior: until an action is physically executed, its outcome exists in a probability space across all possible policy states. This post-mortem examines how deterministic enforcement collapse points — kernel-level syscall boundaries — reduce this probability space to a single, cryptographically committed outcome, eliminating governance ambiguity in complex agentic workflow graphs.