What Is a Panel Verdict in Multi-Model AI?
A Panel Verdict aggregates ratings from 5 AI models into one structured output: verdict, consensus score, and per-model evidence. Learn how it works.
Who this is for
AI-curious professionals — Anyone learning about multi-model verification approaches
The problem
When you ask one AI a question, you get an answer. When you ask five, you get five answers. How do you turn that into something actionable?
How ConvergePanel helps
A Panel Verdict is ConvergePanel's synthesized output from running multiple models. It includes an aggregate rating (accurate / partially accurate / inaccurate / unverifiable), a consensus score (0–100), per-model evidence, and flagged disagreements — structured so you can act on it, not just read it.
How it works
- 1Submit a claim to the panel
- 2Each model independently rates it and provides evidence
- 3ConvergePanel aggregates ratings into a single Panel Verdict
- 4You see the verdict, consensus score, and per-model breakdowns
Use cases
- Getting a single actionable output from five AI models
- Understanding not just 'what do the models say' but 'how much do they agree'
- Documenting AI-assisted verification with structured evidence
ConvergePanel provides AI-assisted verification for informational purposes only. Not forensic analysis. Not legal evidence.
More in Glossary
What Is a Verification Gate?
A Verification Gate is a checkpoint where AI output is evaluated before you act on it. Learn how ConvergePanel uses consensus scoring and policy checks.
What Is Source-Grounding in AI?
Source-grounding ties AI claims to retrievable, verifiable evidence. Learn what it means, why it matters, and how ConvergePanel rates evidence quality across 5 models.
What Is a Decision Receipt?
A Decision Receipt records how an AI-assisted decision was made. Learn what it captures, why it matters, and how ConvergePanel generates one automatically.