Expert review ensures AI findings meet scholarly standards
AI is a powerful tool, but it's not the final word. Here's why expert validation is essential:
Experts catch false positives that AI misses—like legal discussions that look like stories.
Scholars understand Talmudic literary forms in ways AI is still learning.
Every correction teaches the system to be better next time.
Each story candidate is reviewed with the full Hebrew and English text displayed side-by-side. The expert marks it as correct or incorrect and provides notes explaining why.
Stories are categorized by confidence level, helping prioritize expert review:
Professor Rubenstein is one of the world's leading experts on Talmudic narratives. His scholarship defines what makes a Talmudic story—and his validation ensures our AI learns from the best.
His books are foundational texts for anyone studying stories in rabbinic literature.
"The AI was confusing attribution with characters. When it sees 'Rabbi X said that Rabbi Y said...', it thought there was a story with characters, but it's just legal attribution."
See the stories we've found with side-by-side Hebrew and English text. The full tractate of Ketubot (222 pages, 172 stories) is available for review:
49 changed stories between v7 and v8 — cross-page merges, new stories, removals (for expert review)
100 stories (v8) with cross-page merges. 96.3% accuracy on Jeff's v7 review.
33 stories from the first section (expert-validated, 92.1% accuracy)
22 stories from the middle section (expert-validated)
Compare AI findings with expert validations on pages 2-60