Coherence-First system regulates human-AI cognitive fields
A non-agentive interaction framework that regulates information flow to prevent premature convergence and maintain human decision authority. It shifts the AI's role from an autonomous goal-pursuer to a structural stabilizer that manages interpretive pathways in high-stakes environments.
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.
DISCOVERED
45d ago
2026-04-19
PUBLISHED
45d ago
2026-04-19
RELEVANCE
AUTHOR
Educational-Deer-70