Scans all engine responses for logical fallacies, cognitive biases, and weak reasoning patterns — then explains what to watch out for and why.
How it works
Even well-trained AI models repeat common reasoning errors. Logic & Bias Detection puts a dedicated judge engine in charge of finding them across all responses:
Identifies named logical fallacies (ad hominem, straw man, appeal to authority, and more)
Flags weak or circular arguments and unsupported causal claims
Scores each engine on reasoning quality, not just factual accuracy
Explains each issue in plain language so you understand why it matters
This mode is particularly useful when researching persuasive topics — politics, finance, health — where biased reasoning is often more dangerous than outright errors.
When to use Logic & Bias Detection
Evaluating persuasive or advocacy content for hidden bias
Teaching critical thinking and argument analysis
Legal or debate preparation requiring airtight reasoning
Reviewing AI-generated reports before presenting to stakeholders
Detecting politically or commercially motivated framing in AI responses