AI Divination Algorithm & Methodology

AI divination combines NLP, semantic reasoning, and symbolic knowledge bases to provide psychological insights through probabilistic logic rather than supernatural predictions.

Core Positioning

AI divination is a decision-support tool based on modern artificial intelligence, combining natural language processing (NLP), semantic reasoning, and Eastern symbolic knowledge bases to interpret questions through “psychological inspiration” and “probabilistic logic” rather than traditional supernatural predictions.

We believe divination is essentially a process of self-exploration and thought organization, where AI provides structured frameworks, multiple perspectives, and reference suggestions based on historical experience and cultural wisdom.

Technical Foundation

1. Natural Language Processing (NLP)

  • Semantic Understanding: Analyzes core intent, emotional tone, and contextual information
  • Context Modeling: Understands temporal, relational, and goal-oriented dimensions
  • Language Generation: Converts symbolic interpretations into natural, comprehensible language

2. Knowledge Base & Symbolic Systems

  • I Ching System: 64 hexagrams, 384 line texts with modern psychological interpretations
  • Tarot System: 78 cards with symbolic meanings and combination rules
  • Zi Wei Dou Shu: Star combinations, palace relationships, and life stage mappings
  • Ba Zi (Four Pillars): Heavenly Stems, Earthly Branches, and Five Element interactions

3. AI Reasoning Models

  • Multi-modal Fusion: Combines text, symbols, time, and other information dimensions
  • Probabilistic Weighting: Adjusts interpretations based on historical data and expert knowledge
  • Personalized Adaptation: Dynamically adjusts reading style based on user background

Workflow

  1. Question Collection: User inputs question or birth information
  2. Semantic Parsing: AI analyzes question type, key elements, and emotional tone
  3. Symbol Matching: Selects appropriate divination system (Tarot, I Ching, etc.)
  4. Multi-dimensional Interpretation: Generates current state analysis, trends, and action suggestions
  5. Result Presentation: Displays interpretation in structured, readable format

Methodology Boundaries

What We Provide:

  • ✅ Heuristic advice based on public sources and historical experience
  • ✅ Multi-angle thinking frameworks and review tools
  • ✅ Reusable decision templates and checklists
  • ✅ Emotional support and self-exploration assistance

What We Don‘t Provide:

  • ❌ Replacement for professional medical, legal, or financial advice
  • ❌ Predictions about death, disease, or disasters
  • ❌ Guaranteed outcomes or absolute judgments
  • ❌ Superstitious or irrational interpretations

Algorithm Limitations

  • Non-predictive: AI divination is decision support, not fate prediction
  • Cultural Context: Interpretations are based on specific cultural backgrounds
  • Information Constraints: AI can only analyze provided information
  • Generality Trade-off: Broad applicability may sacrifice precision in specific cases
  • Continuous Iteration: Algorithms improve over time but perfection isn‘t guaranteed

Data Ethics & Privacy

Data Minimization

Only functionally necessary data (questions, birth info) is collected, no real names or sensitive PII required.

Anonymization

All user inputs are anonymized, not linked to personal identity, and de-identified for quality improvements.

Limited Retention

Retention periods set by purpose, with user rights to delete and correct data, no profiling or commercial sales.

Transparency

Full privacy policy publicly available. See Privacy Policy.

Continuous Improvement

We continuously optimize AI models, expand knowledge bases, improve interpretation logic, and iterate based on user feedback. Suggestions welcome via Contact page.

Technical Transparency Commitment

  • Disclose algorithm fundamentals and methodology boundaries
  • Clearly mark AI-generated vs. human-reviewed content
  • Provide correction mechanisms and improvement channels
  • Comply with international data protection standards (GDPR, etc.)