diff --git a/README.md b/README.md
index 8127449a..b794f574 100644
--- a/README.md
+++ b/README.md
@@ -150,13 +150,14 @@ const results = await brain.search("companies founded by Elon")
 # Auto-setup with cloud instance provisioning (RECOMMENDED)
 brainy cloud setup --email your@email.com
 
-# Or install manually
-npm install @soulcraft/brainy @soulcraft/brain-cloud
+# Sign up at app.soulcraft.com (free trial)
+brainy cloud auth  # Auto-configures based on your plan
 ```
 
 ```javascript
 import { BrainyData, Cortex } from '@soulcraft/brainy'
-import { AIMemory, AgentCoordinator } from '@soulcraft/brain-cloud'
+// After authentication, augmentations auto-load
+// No imports needed - they're managed by your account!
 
 const brain = new BrainyData()
 const cortex = new Cortex()
@@ -225,16 +226,13 @@ cortex.register(new Translator())         // Multi-language support
 🌟 **Brainy works perfectly without this!** Brain Cloud adds team features:
 
 ```javascript
-import { 
-  AIMemory,          // Persistent AI memory
-  AgentCoordinator,  // Multi-agent handoffs
-  NotionSync,        // Notion integration
-  SalesforceConnect  // CRM integration
-} from '@soulcraft/brain-cloud'
+// Brain Cloud features are in the main package
+// But require API key to activate cloud services
+import { BrainyVectorDB } from '@soulcraft/brainy'
 
-// Brain Cloud is a separate package (optional)
-const aiMemory = new AIMemory({
-  apiKey: process.env.BRAIN_CLOUD_KEY  // Only for cloud features
+// Activate Brain Cloud features with API key
+const brain = new BrainyVectorDB({
+  cloud: { apiKey: process.env.BRAIN_CLOUD_KEY }  // Optional
 })
 
 cortex.register(aiMemory)  // AI remembers everything
diff --git a/bin/brainy.js b/bin/brainy.js
index f32cd0f7..f169d374 100755
--- a/bin/brainy.js
+++ b/bin/brainy.js
@@ -570,12 +570,12 @@ augment
         
         console.log(chalk.green('✅ License saved!'))
         console.log('')
-        console.log('Install Brain Cloud:')
-        console.log(chalk.cyan('  npm install @soulcraft/brain-cloud'))
+        console.log('// Brain Cloud is NOT an npm package!')
+        console.log('// Augmentations auto-load based on your subscription')
         console.log('')
-        console.log('Then use in your code:')
-        console.log(chalk.gray('  import { AIMemory } from "@soulcraft/brain-cloud"'))
-        console.log(chalk.gray('  cortex.register(new AIMemory())'))
+        console.log('Next steps:')
+        console.log(chalk.cyan('  brainy cloud auth'))
+        console.log(chalk.gray('  # Your augmentations will auto-load'))
       } else {
         console.log(chalk.red('Invalid license key'))
       }
diff --git a/src/utils/modelLoader.ts b/src/utils/modelLoader.ts
deleted file mode 100644
index 6b07e473..00000000
--- a/src/utils/modelLoader.ts
+++ /dev/null
@@ -1,93 +0,0 @@
-/**
- * Smart Model Loader - Zero Configuration ML Models
- * Downloads models on-demand, caches intelligently
- */
-
-export class SmartModelLoader {
-  private static readonly MODEL_SOURCES = [
-    // 1. Check if bundled locally
-    './models',
-    '../models',
-    
-    // 2. Check user's cache
-    '~/.brainy/models',
-    
-    // 3. Check CDN (fast, free)
-    'https://cdn.jsdelivr.net/npm/@brainy/models@latest',
-    'https://unpkg.com/@brainy/models',
-    
-    // 4. Check Hugging Face (original source)
-    'https://huggingface.co/Xenova/all-MiniLM-L6-v2/resolve/main'
-  ]
-
-  static async loadModel(modelName: string): Promise<ArrayBuffer> {
-    // Try each source in order
-    for (const source of this.MODEL_SOURCES) {
-      try {
-        const model = await this.tryLoadFrom(source, modelName)
-        if (model) {
-          await this.cacheLocally(model, modelName)
-          return model
-        }
-      } catch {
-        continue // Try next source
-      }
-    }
-    
-    // Fallback: Generate lightweight random embeddings
-    console.warn('Using fallback embeddings (reduced accuracy)')
-    return this.generateFallbackModel(modelName)
-  }
-
-  private static async tryLoadFrom(source: string, model: string): Promise<ArrayBuffer | null> {
-    if (source.startsWith('http')) {
-      // Download from CDN
-      const response = await fetch(`${source}/${model}`)
-      if (response.ok) {
-        return await response.arrayBuffer()
-      }
-    } else {
-      // Check local filesystem
-      try {
-        const fs = await import('fs')
-        return fs.readFileSync(`${source}/${model}`)
-      } catch {
-        return null
-      }
-    }
-    return null
-  }
-
-  private static async cacheLocally(model: ArrayBuffer, name: string): Promise<void> {
-    // Cache in best available location
-    if (typeof window !== 'undefined' && 'caches' in window) {
-      // Browser: Use Cache API
-      const cache = await caches.open('brainy-models')
-      await cache.put(name, new Response(model))
-    } else if (typeof process !== 'undefined') {
-      // Node: Use filesystem cache
-      const fs = await import('fs')
-      const path = await import('path')
-      const cacheDir = path.join(process.env.HOME || '', '.brainy', 'models')
-      fs.mkdirSync(cacheDir, { recursive: true })
-      fs.writeFileSync(path.join(cacheDir, name), Buffer.from(model))
-    }
-  }
-
-  private static generateFallbackModel(name: string): ArrayBuffer {
-    // Deterministic "random" embeddings based on input
-    // Good enough for development/testing
-    const seed = name.split('').reduce((a, b) => a + b.charCodeAt(0), 0)
-    const model = new Float32Array(384) // Standard embedding size
-    for (let i = 0; i < model.length; i++) {
-      model[i] = Math.sin(seed * (i + 1)) * 0.1
-    }
-    return model.buffer
-  }
-}
-
-// Usage - Zero configuration required!
-export async function getEmbedding(text: string): Promise<Float32Array> {
-  const model = await SmartModelLoader.loadModel('encoder.onnx')
-  // ... use model
-}
\ No newline at end of file