Panel Review icon
Panel Review icon

Panel Review

Four frontier models from separate vendors debate an AI coding agent’s riskiest designs, diffs, and commits before execution, using cross-examination to expose disagreements. Local gates require review or a logged override, while the open-source client has zero runtime dependencies.

Gate intercepting a risky commit

Cost / License

  • Pay once or Subscription
  • Open Source (MIT)

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  • Software as a Service (SaaS)
Panel finding a critical flaw in agent's commit
Composing the panel on truverif.ai
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User dashboard showing the impact of the panel reviews.
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Development, AI Tools & Services

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  •  2 Stars
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What is Panel Review?

Panel Review is a critical AI coding checkpoint that uses models from OpenAI, Anthropic, Google, and xAI to assess risks before launching high-risk designs. Each model identifies different failures for a thorough review. Panel Review detects disagreements between models and ensures the strongest argument wins. It identifies potential issues before completing the coding process. During a ten-week production period, 46% of audits found at least one critical issue, and 66% of reviews led to changes in the agent's decision. The client is open-source, dependency-free, and MIT licensed. Users can review each line before installation, removing the need for a build step.

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