SIFT Method

How it works

SIFT is a four-step lateral reading discipline designed to cut through misinformation. When enabled, the analysis model applies each step to the full set of AI responses:

• Stop — flags impulsive acceptance of any single model’s answer
• Investigate the source — evaluates the provenance and credibility of cited facts
• Find better coverage — surfaces whether other models or sources corroborate the claims
• Trace claims — follows assertions back to their original context to check for distortion
• Produces a reliability verdict with confidence levels per model

When to use it

• Verifying health or medical information before acting on it
• Evaluating breaking news where facts are still evolving
• Checking AI-generated citations for accuracy and source quality
• Detecting misinformation patterns across multiple model outputs
• Media literacy education and critical thinking research

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