Trust becomes intelligence only when it is earned.
A governance layer for contributor reputation, source reliability, operator trust, AI agent reliability, institution verification, correction history, and trust decay.
Every TheoB pathway can move through Past, Present, and Future without losing context.
Read current signals, conditions, and live context.
Voice ready
Trust should have memory, scope, and consequences.
TheoB should not treat every entity, source, contributor, institution, or AI agent equally. Reputation Intelligence tracks who is reliable, for what domain, under what conditions, and how that trust changes through outcomes.
Trust grows through useful submissions, corrections, source quality, and transparent participation.
Trust grows through accurate reviews, careful routing, calm judgment, and responsible system handling.
Trust grows through proximity, accuracy, independence, consistency, and correction history.
Trust grows through successful scoped actions, low error rates, auditability, and no authority creep.
Trust grows through verification, public accountability, dataset quality, and transparent methodology.
Trust grows when each domain protects its purpose and does not corrupt truth with incentives.
Reputation must be scoped, reversible, and honest.
Trust must be earned, not assumed.
Reputation is domain-specific: someone may be trusted in cacao but not in weather.
Corrections should improve reputation when handled honestly.
Repeated errors should reduce scope before reducing dignity.
AI agents must never self-expand reputation or permissions.
Trust should decay when unused, unverified, or contradicted by outcomes.