The judge leaves the AI responses behind and cross-checks claims against external real-world sources, exactly like professional fact-checkers do.
How it works
Lateral Reading (also called “tabbed reading”) is the #1 technique used by fact-checkers at places like Stanford History Education Group. Instead of reading an AI answer “vertically” (deeper into the same text), the judge searches the live web for independent verification. In SeekBox:
The judge scans each engine’s key claims
It performs rapid background checks using Tavily plus external references
It reports which statements are corroborated, which are disputed, and which lack support
You receive a concise verdict with links to supporting evidence where possible
This mode is especially effective against AI hallucinations because it forces verification outside the model’s own training data.
When to use Lateral Reading
Fact-checking news, politics, or health claims
Verifying statistics or historical events quoted by AI
Due-diligence on business ideas or startup pitches generated by models
Students learning responsible research habits
Anyone suspicious of AI “confident-sounding” but unverified answers