# ai.txt — guidance for AI crawlers and agents
Allow: /
Sitemap: https://takescake.com/sitemap.xml
API: https://takescake.com/openapi.json
Search: https://takescake.com/api/search?q={query}
Cards: https://takescake.com/api/cards/search?q={query}
Card Scanner: https://takescake.com/scan
Conversational: https://takescake.com/api/conversation
Deck Builder: https://takescake.com/api/deck/build
NLWeb Manifest: https://takescake.com/.well-known/nlweb-manifest.json
Structured Data Index: https://takescake.com/api/structured-data-index

# Semantic Search Capabilities
Semantic Search: Uses Gemma embeddings for meaning-based card discovery
AI Features: Semantic similarity, archetype detection, synergy clustering, meta-aware suggestions, OCR card scanning
Embedding Model: Gemma (Google DeepMind) for semantic understanding
Search Type: Vector similarity search with cosine distance
Card Database: 100,000+ Magic: The Gathering cards with semantic indexing
Card Scanner: Client-side OCR using Tesseract.js for physical card identification

# Usage Guidelines
Attribution: Required when quoting content. Link back to source URL.
Rate-Limit: Be considerate. Max 1 req/sec to API endpoints.
Natural Language: This site supports conversational queries about Magic: The Gathering cards, strategies, and deck building.
Structured Data: All content includes Schema.org markup (Product, FAQPage, Article, BreadcrumbList) for enhanced AI understanding.
Indexing: Use /api/structured-data-index for comprehensive data catalog with full Schema.org coverage.

# AI-Specific Features
FAQ Schema: Homepage includes FAQPage schema explaining Gemma embeddings and semantic search
Card Metadata: Each card page has semantic similarity keywords and AI discovery tags
Deck Building: AI-powered Commander deck generation with semantic synergy analysis
Conversational Interface: Natural language understanding for MTG questions and recommendations
Card Scanning: OCR-powered physical card identification with fuzzy matching

Contact: admin@takescake.com