SIFT Method
Applies the SIFT media-literacy framework — Stop, Investigate the source, Find better coverage, Trace claims — to evaluate the credibility and reliability of every model’s response.
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.
Sources
- NIST AI Risk Management Framework — National Institute of Standards and Technology. Accessed 2026-07-20.