$megatools --llm-diff-comparator --client-side

LLM Output Diff & Hallucination Spotter

Compare AI model outputs side-by-side with word-level diff, numerical discrepancy analysis, and hallucination detection.

Sample Comparison Scenarios

$ cat tips.txt

Jaccard Metric & Diff AST

1Paste model output A and model output B into side-by-side editors
2Review semantic Jaccard overlap percentage and numerical consistency score
3Switch to Hallucination Inspector to review conflicting numbers, percentages, and metrics
4Use Line Diff view to inspect modified lines

Semantic Overlap

79%

Numerical Match

56%

Mismatched Stats

8 items

Diff Lines

5 / 6

•Hallucination Spotter extracts and cross-checks all quantitative values between model outputs
•Ideal for benchmarking prompt variations, temperature changes, and cross-model reasoning
•100% private in-browser analysis without external API dependencies

Input

Model A ($48.2B revenue, 14.5% YoY) vs Model B ($48.2B revenue, 12.8% YoY)

Output

Flagged YoY growth discrepancy (14.5% vs 12.8%) with 92% semantic overlap