Laws That Shape Everything 

Preguntas frecuentes

Goal

Built an interactive knowledge base of 20,835+ laws, principles, theories, and cognitive biases spanning physics, psychology, economics, and 10+ disciplines — designed to help users discover patterns that apply across fields.

Why

Most knowledge is siloed by domain. AXIOS bridges disciplines, allowing users to see how a physics law applies to business strategy, or how a cognitive bias explains market behavior. The vision: one searchable interface for universal truths.

What worked

  • 3-panel UI with resizable columns, dark/light themes, PDF export — zero framework dependencies

  • Context Analyzer (102KB): parses free-form text ("preparing for job interview") and returns relevant principles with relevance scoring

  • Multi-agent research pipeline: 12 specialized LLM agents running in parallel, auto-merging validated entries with deduplication

  • Role-based curation: Health Systems PM view as proof-of-concept for domain-specific interfaces

  • Production-ready: deployed on Vercel, mobile-responsive, 326 JSON data files

Challenges

  • 1,300+ duplicate IDs across files requiring cleanup

  • Content gaps: Chemistry (65 entries, needs 200+), Biology, CS, and AI/ML domains underrepresented

  • Type casing inconsistencies: "principle" vs "Principle" across entries

  • Missing major thinkers: Plato, Kant, Chomsky, Jung not yet attributed

Next steps

  1. Deduplicate entries via automated ID validation on merge

  2. Expand thin domains (chemistry, cellular biology, discrete math)

  3. Add AI/ML, cybersecurity, linguistics as new categories

  4. Normalize schema casing project-wide

  5. Build embeddings for true semantic search (currently keyword-based fallback)

  6. Add graph visualization for cross-discipline connections

Tools used

Tech: Vanilla JS, CSS3, D3.js, jsPDF, Bash orchestration, Python validation, Vercel

Scale: 20,835 entries | 377K lines JSON | 326 data files

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