docs: fix noun count and add use case examples

Fixed critical documentation error:
- Corrected 24 nouns → 31 nouns in noun-verb-taxonomy.md (3 locations)
- Updated combination count from 960 → 1,240

Added "What Can You Build?" section to README with real-world use cases:
- Intelligent documentation systems
- AI agents with perfect memory
- Rich interactive experiences
- Next-gen search & discovery
- Enterprise knowledge management
- Creative tools & content platforms

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

docs/architecture/noun-verb-taxonomy.md

@@ -1159,9 +1159,9 @@ We intentionally keep the type system minimal because:
 
 ## Industry-Specific Coverage Analysis
 
-### Why 24 Nouns + 40 Verbs = Universal Coverage
+### Why 31 Nouns + 40 Verbs = Universal Coverage
 
-The combination of **24 noun types** and **40 verb types** creates **960 basic combinations**, but with metadata and multi-hop relationships, this expands to **infinite expressiveness**. Here's how it covers every industry:
+The combination of **31 noun types** and **40 verb types** creates **1,240 basic combinations**, but with metadata and multi-hop relationships, this expands to **infinite expressiveness**. Here's how it covers every industry:
 
 ### Healthcare & Medical
 ```typescript
@@ -1498,8 +1498,8 @@ The noun-verb taxonomy achieves **Turing completeness** for knowledge representa
 #### The Infinity Formula
 
 ```
-Expressiveness = (24 nouns × 40 verbs) × ∞ metadata × ∞ graph depth
-              = 960 × ∞ × ∞
+Expressiveness = (31 nouns × 40 verbs) × ∞ metadata × ∞ graph depth
+              = 1,240 × ∞ × ∞
               = ∞ (Infinite Expressiveness)
 ```