Logic & Bias Detection

How it works

Even well-trained AI models repeat common reasoning errors. Logic & Bias Detection puts a dedicated analysis model in charge of finding them across all responses:

• Identifies named logical fallacies (ad hominem, straw man, appeal to authority, and more)
• Detects cognitive biases (confirmation bias, anchoring, availability heuristic)
• Flags weak or circular arguments and unsupported causal claims
• Scores each model on reasoning quality, not just factual accuracy
• Explains each issue in plain language so you understand why it matters

When to use it

• 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

This mode organizes model output for review. Its conclusions still require appropriate source checking and human judgment.