Zypher: Cyber Oracle – AI-powered reconstruction of ancient Arabic decision algorithms

Summary: Zypher is an AI-based decision assistant that reconstructs 26 classical Arabic Jafr algorithms, a 1400-year-old system of alphabetical divination using mathematical transformations. It processes user inputs through deterministic computations and uses AI solely to interpret results into understandable outcomes.

What it does

Zypher transliterates a user’s name, mother’s name, and question into Arabic letters, converts them to Abjad numerical values, and applies layered matrix operations including mirroring, elemental rotation, positional shifts, and interleaving. The deterministic output is then interpreted by AI into weighted decision paths with confidence percentages.

Who it's for

It is designed for individuals seeking structured guidance on specific questions, such as career decisions or relationships, using a question-native computational framework rather than generic or birth-fixed systems.

Why it matters

Zypher provides a repeatable, mathematically grounded method to generate decision insights based on identity and exact questions, addressing the lack of specific frameworks in general AI responses and other divination systems.