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The Confidence Trap occurs when a model sounds authoritative while being factually incorrect. In our April 2026 review of 1,324 turns, relying on one engine often masked critical errors. For instance, while OpenAI showed 99
The Confidence Trap occurs when we trust one model's output simply because it sounds right. Using OpenAI and Anthropic together creates a vital safety net. In our April 2026 audit of 1,324 turns, we saw 99.1% signal detection and only 0.9% silent turns