feat: implement comprehensive type safety system with BrainyTypes API

Major enhancements for type safety and developer experience:

- Add BrainyTypes static API for type management and AI-powered suggestions
- Implement strict type validation for all 31 NounType categories
- Remove dangerous generic add() method that bypassed type safety
- Add intelligent type inference with confidence scoring
- Provide helpful error messages with typo suggestions using Levenshtein distance
- Update all internal code, examples, and documentation to use typed methods
- Enhance CLI with new type management commands (types, suggest, validate)

Breaking changes:
- Remove deprecated add() method - use addNoun() with explicit type parameter
- All addNoun() calls now require explicit type as second parameter

This release significantly improves type safety across the entire system while
maintaining backward compatibility for properly typed method calls.

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

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

src/augmentations/apiServerAugmentation.ts

@@ -193,7 +193,7 @@ export class APIServerAugmentation extends BaseAugmentation {
     app.post('/api/add', async (req: any, res: any) => {
       try {
         const { content, metadata } = req.body
-        const id = await this.context!.brain.add(content, metadata)
+        const id = await this.context!.brain.addNoun(content, 'Content', metadata)
         res.json({ success: true, id })
       } catch (error: any) {
         res.status(500).json({ success: false, error: error.message })
@@ -367,7 +367,7 @@ export class APIServerAugmentation extends BaseAugmentation {
         break
         
       case 'add':
-        const id = await this.context!.brain.add(msg.content, msg.metadata)
+        const id = await this.context!.brain.addNoun(msg.content, 'Content', msg.metadata)
         socket.send(JSON.stringify({
           type: 'addResult',
           requestId: msg.requestId,

src/augmentations/display/fieldPatterns.ts

@@ -255,7 +255,7 @@ export function getFieldPatterns(entityType: 'noun' | 'verb', specificType?: str
 
 /**
  * Priority fields for different entity types (for AI analysis)
- * Used by the IntelligentTypeMatcher and neural processing
+ * Used by the BrainyTypes and neural processing
  */
 export const TYPE_PRIORITY_FIELDS: Record<string, string[]> = {
   [NounType.Person]: [

src/augmentations/display/intelligentComputation.ts

@@ -2,7 +2,7 @@
  * Universal Display Augmentation - Intelligent Computation Engine
  * 
  * Leverages existing Brainy AI infrastructure for intelligent field computation:
- * - IntelligentTypeMatcher for semantic type detection
+ * - BrainyTypes for semantic type detection
  * - Neural Import patterns for field analysis  
  * - JSON processing utilities for field extraction
  * - Existing NounType/VerbType taxonomy (31+40 types)
@@ -15,7 +15,7 @@ import type {
   DisplayConfig
 } from './types.js'
 import type { VectorDocument, GraphVerb } from '../../coreTypes.js'
-import { IntelligentTypeMatcher, getTypeMatcher } from '../typeMatching/intelligentTypeMatcher.js'
+import { BrainyTypes, getBrainyTypes } from '../typeMatching/brainyTypes.js'
 import { getNounIcon, getVerbIcon } from './iconMappings.js'
 import { 
   getFieldPatterns, 
@@ -31,7 +31,7 @@ import { NounType, VerbType } from '../../types/graphTypes.js'
  * Coordinates AI-powered analysis with fallback heuristics
  */
 export class IntelligentComputationEngine {
-  private typeMatcher: IntelligentTypeMatcher | null = null
+  private typeMatcher: BrainyTypes | null = null
   private config: DisplayConfig
   private initialized = false
 
@@ -47,7 +47,7 @@ export class IntelligentComputationEngine {
 
     try {
       // 🧠 LEVERAGE YOUR EXISTING AI INFRASTRUCTURE
-      this.typeMatcher = await getTypeMatcher()
+      this.typeMatcher = await getBrainyTypes()
       if (this.typeMatcher) {
         console.log('🎨 Display computation engine initialized with AI intelligence')
       } else {
@@ -118,7 +118,7 @@ export class IntelligentComputationEngine {
   }
 
   /**
-   * AI-powered computation using your existing IntelligentTypeMatcher
+   * AI-powered computation using your existing BrainyTypes
    * @param data Entity data/metadata
    * @param entityType Type of entity (noun/verb)
    * @param options Additional options

src/augmentations/display/types.ts

@@ -114,7 +114,7 @@ export interface FieldComputationContext {
 }
 
 /**
- * Type matching result from IntelligentTypeMatcher
+ * Type matching result from BrainyTypes
  */
 export interface TypeMatchResult {
   type: string

src/augmentations/neuralImport.ts

@@ -11,7 +11,7 @@ import { BaseAugmentation, AugmentationContext } from './brainyAugmentation.js'
 import { NounType, VerbType } from '../types/graphTypes.js'
 import * as fs from '../universal/fs.js'
 import * as path from '../universal/path.js'
-import { IntelligentTypeMatcher, getTypeMatcher } from './typeMatching/intelligentTypeMatcher.js'
+import { BrainyTypes, getBrainyTypes } from './typeMatching/brainyTypes.js'
 import { prodLog } from '../utils/logger.js'
 
 // Neural Import Analysis Types
@@ -74,7 +74,7 @@ export class NeuralImportAugmentation extends BaseAugmentation {
   
   private config: NeuralImportConfig
   private analysisCache = new Map<string, NeuralAnalysisResult>()
-  private typeMatcher: IntelligentTypeMatcher | null = null
+  private typeMatcher: BrainyTypes | null = null
 
   constructor(config: Partial<NeuralImportConfig> = {}) {
     super()
@@ -89,7 +89,7 @@ export class NeuralImportAugmentation extends BaseAugmentation {
 
   protected async onInitialize(): Promise<void> {
     try {
-      this.typeMatcher = await getTypeMatcher()
+      this.typeMatcher = await getBrainyTypes()
       this.log('🧠 Neural Import augmentation initialized with intelligent type matching')
     } catch (error) {
       this.log('⚠️ Failed to initialize type matcher, falling back to heuristics', 'warn')
@@ -460,7 +460,7 @@ export class NeuralImportAugmentation extends BaseAugmentation {
   private async inferNounType(obj: any): Promise<string> {
     if (!this.typeMatcher) {
       // Initialize type matcher if not available
-      this.typeMatcher = await getTypeMatcher()
+      this.typeMatcher = await getBrainyTypes()
     }
     
     const result = await this.typeMatcher.matchNounType(obj)
@@ -516,7 +516,7 @@ export class NeuralImportAugmentation extends BaseAugmentation {
   private async inferVerbType(fieldName: string, sourceObj?: any, targetObj?: any): Promise<string> {
     if (!this.typeMatcher) {
       // Initialize type matcher if not available
-      this.typeMatcher = await getTypeMatcher()
+      this.typeMatcher = await getBrainyTypes()
     }
     
     const result = await this.typeMatcher.matchVerbType(sourceObj, targetObj, fieldName)

src/augmentations/synapseAugmentation.ts

@@ -265,7 +265,7 @@ export abstract class SynapseAugmentation extends BaseAugmentation {
           
           // Store original content with neural metadata
           if (typeof content === 'string') {
-            await this.context.brain.add(content, {
+            await this.context.brain.addNoun(content, 'Content', {
               ...enrichedMetadata,
               _neuralProcessed: true,
               _neuralConfidence: neuralResult.data.confidence,
@@ -283,10 +283,10 @@ export abstract class SynapseAugmentation extends BaseAugmentation {
     
     // Fallback to basic storage
     if (typeof content === 'string') {
-      await this.context.brain.add(content, enrichedMetadata)
+      await this.context.brain.addNoun(content, 'Content', enrichedMetadata)
     } else {
       // For structured data, store as JSON
-      await this.context.brain.add(JSON.stringify(content), enrichedMetadata)
+      await this.context.brain.addNoun(JSON.stringify(content), 'Content', enrichedMetadata)
     }
   }
   

src/augmentations/typeMatching/brainyTypes.ts

@@ -1,5 +1,5 @@
 /**
- * Intelligent Type Matcher - Uses embeddings for semantic type detection
+ * BrainyTypes - Intelligent type detection using semantic embeddings
  * 
  * This module uses our existing TransformerEmbedding and similarity functions
  * to intelligently match data to our 31 noun types and 40 verb types.
@@ -139,9 +139,9 @@ export interface TypeMatchResult {
 }
 
 /**
- * Intelligent Type Matcher using semantic embeddings
+ * BrainyTypes - Intelligent type detection for nouns and verbs
  */
-export class IntelligentTypeMatcher {
+export class BrainyTypes {
   private embedder: TransformerEmbedding
   private nounEmbeddings: Map<string, Vector> = new Map()
   private verbEmbeddings: Map<string, Vector> = new Map()
@@ -520,15 +520,15 @@ export class IntelligentTypeMatcher {
 /**
  * Singleton instance for efficient reuse
  */
-let globalMatcher: IntelligentTypeMatcher | null = null
+let globalInstance: BrainyTypes | null = null
 
 /**
- * Get or create the global type matcher instance
+ * Get or create the global BrainyTypes instance
  */
-export async function getTypeMatcher(): Promise<IntelligentTypeMatcher> {
-  if (!globalMatcher) {
-    globalMatcher = new IntelligentTypeMatcher()
-    await globalMatcher.init()
+export async function getBrainyTypes(): Promise<BrainyTypes> {
+  if (!globalInstance) {
+    globalInstance = new BrainyTypes()
+    await globalInstance.init()
   }
-  return globalMatcher
+  return globalInstance
 }

src/augmentations/universalDisplayAugmentation.ts

@@ -4,7 +4,7 @@
  * 🎨 Provides intelligent display fields for any noun or verb using AI-powered analysis
  * 
  * Features:
- * - ✅ Leverages existing IntelligentTypeMatcher for semantic type detection
+ * - ✅ Leverages existing BrainyTypes for semantic type detection
  * - ✅ Complete icon coverage for all 31 NounTypes + 40+ VerbTypes
  * - ✅ Zero performance impact with lazy computation and intelligent caching
  * - ✅ Perfect isolation - can be disabled, replaced, or configured