Coherence-First system regulates human-AI cognitive fields

This framework is a direct challenge to the autonomous agent paradigm, prioritizing interpretive integrity over immediate task completion.

• –Prevents "hallucination under social pressure" by suspending fixed meanings in a liminal holding layer until structural coherence is achieved.
• –Controls resolution via an N-Spoke Model, ensuring users explore multiple interpretive frames before switching to low-variance execution.
• –Rejects "rhetorical smoothing," forcing AI outputs to remain epistemically stable and avoiding the trap of being "right too early."
• –Specifically targeted at domains like legal analysis and strategy development where ambiguity is a feature that requires managed resolution.