The Encyclopedia of AI Consensus
The reference encyclopedia for AI consensus: what it is, why one AI answer is incomplete, and how multi-model verification works.
What is AI consensus?
AI consensus cross-checks an answer across independent AI models to surface where they agree, diverge, and why — instead of trusting one model alone.
AI Hallucination: Why Models Sound Right, Wrong
An AI hallucination is confident, fluent, factually wrong content from a model — here's why it happens and how multi-model consensus catches it.
What is Multi-Model Verification?
Multi-model verification runs the same question across independent AI models, comparing outputs at the claim level to surface agreement and divergence.
What is an AI Second Opinion?
An AI second opinion means consulting another independent AI model to cross-check an answer before acting — like seeking a second medical opinion.
What is AI Fact-Checking?
AI fact-checking uses multiple independent AI models to verify a specific claim — what they say, whether it holds up, what stays unsupported.
What is an AI Cross-Check?
An AI cross-check tests a specific AI answer against an independent second model — the simplest, fastest form of multi-model verification.
What is AI Disagreement?
AI disagreement is when independent models give different answers to the same question — a map of where the underlying question is actually contested.
What is an AI Agreement Score?
An AI agreement score is the quantitative reading of how much a multi-model panel converged on an answer — a single calibrated confidence number.
What is AI Trust?
AI trust is the calibrated confidence a user places in an AI output — earned through evidence and verification, not granted by a confident tone.
What is Model Divergence?
Model divergence is the systematic study of where and why AI models produce different answers — the lens that turns disagreement into a signal.
What is an AI Panel?
An AI panel is a set of independent language models deliberately assembled to cross-check each other — the setup behind multi-model verification.
What is AI Truth-Finding?
AI truth-finding uses AI systems to help readers calibrate confidence in claims — through evidence and honest reporting of what's contested.
What is a Cove Fight? Satcove's AI Verdict Engine
A Cove Fight is Satcove's structured multi-AI debate engine: one question, six independent models, arbitration, one decision-grade verdict.
What is an AI Verdict?
An AI verdict is the structured, decision-grade output of a multi-AI process — what the panel agreed on, where it split, what to actually do.
What is an AI Debate?
An AI debate is a structured exchange between independent AI models on one question — designed to surface disagreement a single answer would hide.