Use this umbrella for I Ching-class product work: study apps, divination flows, symbolic SVG diagrams, and ingestion of source texts/translations. The maintainable unit is the whole app/domain, not one skill per ritual UI tweak or one mandala task.
A good stack for this class of app: - React + Vite + TypeScript frontend - Express backend when needed - PWA deployment via PM2 + nginx - data-driven hexagram dataset with shared helpers for rendering and lookup
Useful UX principles: - card/study surface is the product, so keep chrome small - glyph visuals must be obvious, not merely technically present - constrain hexagram proportions so they read as traditional tall/narrow stacks - visual QA matters more than assuming the data binding is wrong
Core rules that worked: - exactly 3 coins per cast - Heads/Yang = 3 - Tails/Yin = 2 - odd sum => Yang line, even sum => Yin line - build 6 lines bottom-up and resolve directly against the dataset
Implementation pattern:
- keep math and lookup in pure helpers (divination.ts-style module)
- keep animation and view state in the app shell/component layer
- after six throws, route directly to the matching hexagram detail
UX lessons: - premium coin visuals matter; generic gold circles feel cheap - use redundant readability cues (Yin/Yang text, line-shape cues, values) without cluttering the ritual screen - reserve fixed layout space so status/breakdown text does not cause the CTA to jump during casting - if CSS animation starts feeling staged, split toss trajectory and coin-body flipping, or move to GSAP
For concentric I Ching diagrams: - make line orientation explicit as a product rule, especially whether bottoms face inward - keep ring-generation logic deterministic and inspectable - use SVG transforms carefully so each figure stays tangent to the ring while preserving the desired orientation - if integrating with Human Design or another wheel system, keep one source of truth for gate/hexagram order
For book-like PDFs with broken text layers but readable page images: - prefer TOC/bookmark-guided segmentation - render pages to PNG - use a vision-first transcription pipeline for fidelity - preserve page images as source-of-truth references - merge structured output back into the app dataset, not as loose notes