About Us
Vision, methodology boundaries, team background, and usage principles.
Mission & Values
Combine classical wisdom with modern AI to navigate uncertainty, act with clarity, and continuously improve life decision quality through actionable methods.
- Human-first: Respect choice and informed consent, treating AI as an assistant tool rather than judgment replacement
- Pragmatic: Prioritize actionable guidance over empty concepts or abstract prophecies
- Transparent: Disclose methodology boundaries, algorithm principles, and correction processes, accepting user oversight and feedback
- Rational Exploration: Emphasize psychological inspiration and logical analysis, rejecting superstitious orientation and absolute predictions
What We Do / Don‘t
✅ What We Provide
- Decision Support Framework: Heuristic advice and review frameworks from public sources and historical experience
- Reusable Templates: Structured tools like question framing, pacing schedules, and risk checklists
- Psychological Exploration Support: Help users understand emotional states, relationship dynamics, and growth directions
- Rational Analysis Perspective: Multi-angle thinking frameworks combining traditional wisdom and modern logic
❌ What We Don‘t
- Don‘t Replace Professionals: Not substitutes for medical, legal, investment, or other professional consultations
- Don‘t Make Absolute Predictions: No guaranteed outcomes or prophecies about death, disease, or disasters
- Don‘t Promote Superstition: No superstitious promises or supernatural interpretations
- Don‘t Replace Self-Judgment: AI is an assistant tool; final decision authority rests with users
Data & Privacy
- Minimized collection for functionality only
- Limited retention with deletion/correction support
- De-identified data for quality improvements
Accessibility & Inclusion
We continuously improve support for screen readers, contrast, keyboard nav, and mobile; accessibility feedback is welcome.
Transparency
We are committed to transparent operations with publicly accessible principles and correction policies:
- Editorial Policy: Content creation, review, and publication standards
- Review Guidelines: Quality assurance and correction processes
- AI Algorithm Principles: Technical methods, knowledge bases, and limitations
- Ethical Guidelines: Ethical boundaries and responsibility commitments
- Disclaimer: Service nature, responsibility boundaries, and usage tips
Team & Contact
Cross-functional team across product, engineering, content, and data, integrating diverse perspectives from traditional culture researchers, AI engineers, psychology consultants, and product designers. Team members come from technology, humanities, and design backgrounds, dedicated to combining ancient wisdom with modern technology to provide valuable decision-support tools.
Reach us via the Contact page for collaboration, feedback, or quality concerns. We value every user feedback and continuously improve service quality and content accuracy.
Team Background
- AI Engineers: Natural language algorithms, semantic understanding, and knowledge base construction
- Traditional Culture Researchers: Organizing knowledge systems of I Ching, Tarot, Zi Wei Dou Shu, etc.
- Psychology Consultants: Ensuring content has mental health and ethical reference value
- Product Designers: Optimizing user experience, information architecture, and interaction flows
Recent Updates
- 2025-09: Added trust pages and site-level JSON-LD; enriched yearly content
- 2025-08: Optimized keyword density and internal linking