We taught AI how Islamic scholars reason.

1,400 years of isnad methodology exists because Muslims understood that unverified claims are dangerous. The chain of transmission wasn't invented for convenience — it was invented because sources matter. Every narrator assessed. Every link in the chain scrutinized. Every hadith graded not by what it says, but by the integrity of the path it traveled to reach us.

General-purpose AI treats Islamic knowledge as pattern completion — predicting the next plausible word, not the next verified fact. It fabricates hadith. It invents scholarly positions. It presents consensus where legitimate disagreement exists, and disagreement where consensus is clear. We built an architecture that treats Islamic knowledge the way scholars do — as a sacred trust that demands evidence.

High-quality examples of evidence-based Islamic reasoning don't exist at scale. What exists online is fatwa Q&A stripped of reasoning, academic papers too dense for training, and forum posts with no methodology. So HYVE Labs built the dataset from scratch.

Each example in Eve-Genesis isn't a question and an answer. It's a question and a complete reasoning trace — demonstrating how to apply the Tahqiq methodology step by step. Here's the source hierarchy. Here's how you cite. Here's how you grade a narrator chain. Here's how you calibrate confidence. Here's how you handle insufficient evidence.

"Usul Edition" means the dataset is grounded in Usul al-Fiqh — the principles of Islamic jurisprudence. The model learned the methodology, not just the conclusions. That's why it can handle questions it's never seen before.