feat: sync quick add ingestion updates

- simplify quick add source selection and fallback saving
- improve description context and manual edit behavior
- add extractor dimension filtering and edge explanation migration

app/api/extract/pdf/upload/route.ts

@@ -57,9 +57,8 @@ export async function POST(request: NextRequest) {
       headers: { 'Content-Type': 'application/json' },
       body: JSON.stringify({
         title,
-        type: 'pdf',
+        // Give the description generator and UI a readable summary plus a short excerpt.
-        // Keep content readable in UI (not the full extracted text)
+        notes: `Imported PDF document: ${file.name} (${extraction.metadata.pages} pages, ${Math.round(extraction.metadata.text_length / 1000)}k characters).\n\nPreview:\n${extraction.chunk.slice(0, 1200)}`,
-        content: `Imported PDF: ${file.name} (${extraction.metadata.pages} pages, ${Math.round(extraction.metadata.text_length / 1000)}k characters)`,
         // Full extracted text goes in chunk for universal chunking/embedding
         chunk: extraction.chunk,
         metadata: {

app/api/nodes/[id]/route.ts

@@ -75,10 +75,9 @@ export async function PUT(
     if (typeof body.description === 'string') {
       const descriptionError = validateExplicitDescription(body.description);
       if (descriptionError) {
-        return NextResponse.json({
+        console.warn(
-          success: false,
+          `[DescriptionQuality] User-updated description failed validation for node ${nodeId}: ${descriptionError}`
-          error: descriptionError
+        );
-        }, { status: 400 });
       }
     }
 

app/api/nodes/route.ts

@@ -93,6 +93,7 @@ export async function POST(request: NextRequest) {
     body.title = sanitizeTitle(body.title);
 
     const rawNotes = typeof body.notes === 'string' ? body.notes : null;
+    const rawChunk = typeof body.chunk === 'string' ? body.chunk : null;
     const eventDate = typeof body.event_date === 'string' ? body.event_date : null;
 
     // Process provided dimensions first (needed for description generation)
@@ -107,7 +108,7 @@ export async function POST(request: NextRequest) {
       try {
         nodeDescription = await generateDescription({
           title: body.title,
-          notes: rawNotes || undefined,
+          notes: rawNotes || rawChunk?.slice(0, 2000) || undefined,
           link: body.link || undefined,
           metadata: body.metadata,
           dimensions: trimmedProvidedDimensions
@@ -122,14 +123,22 @@ export async function POST(request: NextRequest) {
       nodeDescription = body.title.slice(0, 280);
     }
 
-    const finalDescription = nodeDescription ?? body.title.slice(0, 280);
+    let finalDescription = nodeDescription ?? body.title.slice(0, 280);
 
     const descriptionError = validateExplicitDescription(finalDescription);
     if (descriptionError) {
-      return NextResponse.json({
+      const isUserSuppliedDescription = typeof body.description === 'string' && body.description.trim().length > 0;
-        success: false,
+      if (isUserSuppliedDescription) {
-        error: descriptionError
+        return NextResponse.json({
-      }, { status: 400 });
+          success: false,
+          error: descriptionError
+        }, { status: 400 });
+      }
+
+      console.warn(
+        `[DescriptionQuality] Auto-generated description failed validation for "${body.title}": ${descriptionError}. Falling back to title.`
+      );
+      finalDescription = body.title.slice(0, 280);
     }
 
     // Monitor description quality
@@ -139,7 +148,6 @@ export async function POST(request: NextRequest) {
 
     // Use only provided dimensions (no auto-assignment)
     const finalDimensions = trimmedProvidedDimensions;
-    const rawChunk = typeof body.chunk === 'string' ? body.chunk : null;
     let chunkToStore = rawChunk;
     let chunkStatus: Node['chunk_status'];
 

app/api/quick-add/route.ts

@@ -14,18 +14,18 @@ export async function POST(request: NextRequest) {
     }
 
     const normalizedMode: QuickAddMode | undefined =
-      mode === 'link' || mode === 'note' || mode === 'chat' ? mode : undefined;
+      mode === 'link' || mode === 'text' ? mode : undefined;
 
     const normalizedDescription: string | undefined =
       typeof description === 'string' && description.trim() ? description.trim() : undefined;
 
-    const delegation = await enqueueQuickAdd({
+    const result = await enqueueQuickAdd({
       rawInput: input.trim(),
       mode: normalizedMode,
       description: normalizedDescription,
     });
 
-    return NextResponse.json({ success: true, delegation });
+    return NextResponse.json({ success: true, result });
   } catch (error) {
     console.error('[Quick Add API] Error:', error);
     const message = error instanceof Error ? error.message : 'Unknown error';

apps/mcp-server-standalone/index.js

@@ -197,9 +197,14 @@ function validateExplicitDescription(description) {
     return 'Description must be explicit and substantial (at least 24 characters).';
   }
   const weakPatterns = /\b(discusses|explores|examines|talks about|is about|delves into)\b/i;
+  const explicitEntityPatterns = /\b(article|artifact|book|brief|claim|company|concept|conversation|dataset|decision|dimension|document|episode|essay|event|guide|idea|insight|interview|lesson|link|node|note|paper|person|plan|placeholder|podcast|post|presentation|project|question|record|research|resource|skill|source|status|summary|talk|target|test node|thread|tool|transcript|tweet|update|video|website|workflow)\b/i;
+  const uncertaintyPatterns = /\b(likely|probably|possibly|appears to be|seems to be|unclear|uncertain)\b/i;
   if (weakPatterns.test(text)) {
     return 'Description is too vague. State exactly what this is and why it matters.';
   }
+  if (!explicitEntityPatterns.test(text) && !uncertaintyPatterns.test(text)) {
+    return 'Description must explicitly identify what this thing is, or state uncertainty explicitly.';
+  }
   return null;
 }
 

apps/mcp-server-standalone/services/sqlite-client.js

@@ -70,6 +70,7 @@ function initDatabase() {
         source TEXT,
         created_at TEXT,
         context TEXT,
+        explanation TEXT,
         FOREIGN KEY (from_node_id) REFERENCES nodes(id) ON DELETE CASCADE,
         FOREIGN KEY (to_node_id) REFERENCES nodes(id) ON DELETE CASCADE
       );
@@ -112,6 +113,18 @@ function initDatabase() {
   db.pragma('cache_size = 5000');
   db.pragma('busy_timeout = 5000');
 
+  const edgeCols = db.prepare('PRAGMA table_info(edges)').all().map(c => c.name);
+  if (!edgeCols.includes('explanation')) {
+    db.exec('ALTER TABLE edges ADD COLUMN explanation TEXT;');
+    try {
+      db.exec(`
+        UPDATE edges SET explanation = json_extract(context, '$.explanation')
+        WHERE explanation IS NULL AND json_extract(context, '$.explanation') IS NOT NULL;
+      `);
+    } catch {}
+    console.error('[RA-H] Migrated edges: added explanation column');
+  }
+
   return db;
 }
 

src/components/agents/QuickAddInput.tsx

@@ -1,11 +1,11 @@
 "use client";
 
-import { useState, useCallback, useMemo } from 'react';
+import { useState, useCallback, useMemo, useRef } from 'react';
 import { createPortal } from 'react-dom';
 
 interface QuickAddSubmitPayload {
   input: string;
-  mode: 'link' | 'note' | 'chat';
+  mode: 'link' | 'text';
   description?: string;
 }
 
@@ -15,34 +15,28 @@ interface QuickAddInputProps {
   onClose?: () => void;
 }
 
-type DetectedType = 'youtube' | 'website' | 'pdf-url' | 'note' | 'chat';
+type SourceType = 'link' | 'text' | 'upload';
 
-function detectType(raw: string): DetectedType {
+function detectSourceType(raw: string): Exclude<SourceType, 'upload'> {
   const trimmed = raw.trim();
-  if (!trimmed) return 'note';
+  if (!trimmed) return 'text';
-  if (/youtu(\.be|be\.com)/i.test(trimmed)) return 'youtube';
+  const isSingleLine = !trimmed.includes('\n');
-  if (/\.pdf($|\?)/i.test(trimmed) || /arxiv\.org\//i.test(trimmed)) return 'pdf-url';
+  if (isSingleLine) {
-  if (/^https?:\/\//i.test(trimmed)) return 'website';
+    if (/^https?:\/\//i.test(trimmed)) return 'link';
-  const newlines = (trimmed.match(/\n/g)?.length ?? 0);
+  }
-  if (newlines >= 3 && trimmed.length > 300) return 'chat';
+  return 'text';
-  if (/You said:|ChatGPT said:|Claude said:/i.test(trimmed)) return 'chat';
-  return 'note';
 }
 
-const TYPE_LABELS: Record<DetectedType, string> = {
+const SOURCE_LABELS: Record<SourceType, string> = {
-  youtube: 'YouTube',
+  link: 'Link',
-  website: 'Link',
+  text: 'Text',
-  'pdf-url': 'PDF',
+  upload: 'Upload',
-  note: 'Note',
-  chat: 'Transcript',
 };
 
-const TYPE_COLORS: Record<DetectedType, string> = {
+const SOURCE_COLORS: Record<SourceType, string> = {
-  youtube: '#ef4444',
+  link: '#3b82f6',
-  website: '#3b82f6',
+  text: '#22c55e',
-  'pdf-url': '#f59e0b',
+  upload: '#f59e0b',
-  note: '#22c55e',
-  chat: '#a78bfa',
 };
 
 export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInputProps) {
@@ -52,6 +46,8 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
   const [dragOver, setDragOver] = useState(false);
   const [uploadedFile, setUploadedFile] = useState<File | null>(null);
   const [uploadError, setUploadError] = useState<string | null>(null);
+  const [sourceOverride, setSourceOverride] = useState<Exclude<SourceType, 'upload'> | null>(null);
+  const fileInputRef = useRef<HTMLInputElement | null>(null);
 
   const isControlled = isOpen !== undefined;
   const isExpanded = isControlled ? isOpen : isExpandedInternal;
@@ -59,8 +55,8 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
     ? (value: boolean) => { if (!value && onClose) onClose(); }
     : setIsExpandedInternal;
 
-  const detectedType = useMemo(() => detectType(input), [input]);
+  const detectedSource = useMemo(() => detectSourceType(input), [input]);
-  const showTypePill = input.trim().length > 0 && !uploadedFile;
+  const effectiveSource: SourceType = uploadedFile ? 'upload' : (sourceOverride ?? detectedSource);
 
   const handleFileUpload = useCallback(async (file: File) => {
     setIsPosting(true);
@@ -78,6 +74,7 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
       }
       setUploadedFile(null);
       setInput('');
+      setSourceOverride(null);
       setIsExpanded(false);
     } catch (error) {
       console.error('[QuickAddInput] Upload error:', error);
@@ -95,8 +92,12 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
     if (!input.trim() || isPosting) return;
     setIsPosting(true);
     try {
-      await onSubmit({ input: input.trim(), mode: 'link' });
+      await onSubmit({
+        input: input.trim(),
+        mode: effectiveSource === 'link' ? 'link' : 'text',
+      });
       setInput('');
+      setSourceOverride(null);
       setIsExpanded(false);
     } catch (error) {
       console.error('[QuickAddInput] Submit error:', error);
@@ -115,6 +116,7 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
       setInput('');
       setUploadedFile(null);
       setUploadError(null);
+      setSourceOverride(null);
     }
   };
 
@@ -147,6 +149,7 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
     }
     setUploadedFile(file);
     setInput('');
+    setSourceOverride(null);
   }, []);
 
   const hasContent = input.trim() || uploadedFile;
@@ -156,6 +159,37 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
     setInput('');
     setUploadedFile(null);
     setUploadError(null);
+    setSourceOverride(null);
+  };
+
+  const handleSourceSelect = (source: Exclude<SourceType, 'upload'>) => {
+    setSourceOverride(source);
+    setUploadedFile(null);
+    setUploadError(null);
+  };
+
+  const handleUploadClick = () => {
+    setUploadError(null);
+    fileInputRef.current?.click();
+  };
+
+  const handleFileInputChange = (event: React.ChangeEvent<HTMLInputElement>) => {
+    const file = event.target.files?.[0];
+    if (!file) return;
+    if (file.type !== 'application/pdf' && !file.name.toLowerCase().endsWith('.pdf')) {
+      setUploadError('Only PDF files are supported');
+      event.target.value = '';
+      return;
+    }
+    if (file.size > 50 * 1024 * 1024) {
+      setUploadError(`File too large (${Math.round(file.size / 1024 / 1024)}MB). Max 50MB.`);
+      event.target.value = '';
+      return;
+    }
+    setUploadedFile(file);
+    setInput('');
+    setSourceOverride(null);
+    event.target.value = '';
   };
 
   if (!isExpanded) {
@@ -210,7 +244,14 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
       onDrop={handleDrop}
       onClick={(e) => e.stopPropagation()}
     >
-      {/* File preview */}
+      <input
+        ref={fileInputRef}
+        type="file"
+        accept=".pdf,application/pdf"
+        style={{ display: 'none' }}
+        onChange={handleFileInputChange}
+      />
+
       {uploadedFile && (
         <div className="qa-file-row">
           <svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="#ef4444" strokeWidth="1.5">
@@ -231,12 +272,10 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
         </div>
       )}
 
-      {/* Error */}
       {uploadError && (
         <div className="qa-error">{uploadError}</div>
       )}
 
-      {/* Input area */}
       {!uploadedFile && (
         <div className={`qa-input-area ${dragOver ? 'dragging' : ''}`}>
           {dragOver && (
@@ -250,9 +289,18 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
           )}
           <textarea
             value={input}
-            onChange={(e) => setInput(e.target.value)}
+            onChange={(e) => {
+              const nextValue = e.target.value;
+              setInput(nextValue);
+              if (nextValue.trim()) {
+                setUploadedFile(null);
+              }
+              if (!nextValue.trim()) {
+                setSourceOverride(null);
+              }
+            }}
             onKeyDown={handleKeyDown}
-            placeholder="Paste a URL, write a note, or drop a PDF..."
+            placeholder="Paste a link, write/paste text, or upload a PDF..."
             disabled={isPosting}
             autoFocus
             className="qa-textarea"
@@ -261,18 +309,40 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
         </div>
       )}
 
-      {/* Footer */}
       <div className="qa-footer">
         <div className="qa-footer-left">
-          {showTypePill && (
+          <div className="qa-source-row">
-            <span className="qa-type-pill" style={{
+            <button
-              color: TYPE_COLORS[detectedType],
+              type="button"
-              borderColor: TYPE_COLORS[detectedType] + '30',
+              className={`qa-control-chip qa-source-chip ${effectiveSource === 'link' ? 'active' : ''}`}
-              background: TYPE_COLORS[detectedType] + '0a',
+              onClick={() => handleSourceSelect('link')}
-            }}>
+            >
-              {TYPE_LABELS[detectedType]}
+              {SOURCE_LABELS.link}
-            </span>
+            </button>
-          )}
+            <button
+              type="button"
+              className={`qa-control-chip qa-source-chip ${effectiveSource === 'text' ? 'active' : ''}`}
+              onClick={() => handleSourceSelect('text')}
+            >
+              {SOURCE_LABELS.text}
+            </button>
+            <button
+              type="button"
+              className={`qa-control-chip qa-source-chip ${effectiveSource === 'upload' ? 'active upload' : 'upload'}`}
+              onClick={handleUploadClick}
+            >
+              {SOURCE_LABELS.upload}
+            </button>
+          </div>
+        </div>
+        <div className="qa-footer-right">
+          <span className="qa-type-pill" style={{
+            color: SOURCE_COLORS[effectiveSource],
+            borderColor: SOURCE_COLORS[effectiveSource] + '30',
+            background: SOURCE_COLORS[effectiveSource] + '0a',
+          }}>
+            {effectiveSource === 'upload' ? 'Process as Upload' : `Process as ${SOURCE_LABELS[effectiveSource]}`}
+          </span>
           <span className="qa-hint">
             {uploadedFile
               ? 'Ready to upload'
@@ -413,13 +483,61 @@ export default function QuickAddInput({ onSubmit, isOpen, onClose }: QuickAddInp
           border-top: 1px solid rgba(255, 255, 255, 0.04);
         }
 
+        .qa-source-row {
+          display: flex;
+          flex-wrap: wrap;
+          align-items: center;
+          gap: 8px;
+        }
+
+        .qa-control-chip {
+          border: 1px solid rgba(255, 255, 255, 0.08);
+          background: rgba(255, 255, 255, 0.03);
+          color: #8a8a8a;
+          border-radius: 10px;
+          padding: 6px 12px;
+          font-size: 11px;
+          font-weight: 600;
+          letter-spacing: 0.04em;
+          text-transform: uppercase;
+          cursor: pointer;
+          transition: all 0.15s ease;
+        }
+
+        .qa-control-chip:hover {
+          border-color: rgba(255, 255, 255, 0.16);
+          color: #cfcfcf;
+        }
+
+        .qa-source-chip.active {
+          color: #f5f5f5;
+          border-color: rgba(255, 255, 255, 0.2);
+          background: rgba(255, 255, 255, 0.08);
+        }
+
+        .qa-source-chip.upload.active {
+          border-color: rgba(245, 158, 11, 0.35);
+          background: rgba(245, 158, 11, 0.12);
+          color: #fbbf24;
+        }
+
         .qa-footer-left {
+          display: flex;
+          align-items: center;
+          gap: 12px;
+          min-width: 0;
+        }
+
+        .qa-footer-right {
           display: flex;
           align-items: center;
           gap: 10px;
+          margin-left: auto;
         }
 
         .qa-type-pill {
+          display: inline-flex;
+          align-items: center;
           font-size: 10px;
           font-weight: 600;
           letter-spacing: 0.04em;

src/components/layout/ThreePanelLayout.tsx

@@ -570,7 +570,7 @@ export default function ThreePanelLayout() {
   }, [slotA, slotB, handlePaneTypeClick]);
 
   // Handle Quick Add submit (used by global Add Stuff modal)
-  const handleQuickAddSubmit = useCallback(async ({ input, mode, description }: { input: string; mode: 'link' | 'note' | 'chat'; description?: string }) => {
+  const handleQuickAddSubmit = useCallback(async ({ input, mode, description }: { input: string; mode: 'link' | 'text'; description?: string }) => {
     try {
       const response = await fetch('/api/quick-add', {
         method: 'POST',
@@ -583,15 +583,14 @@ export default function ThreePanelLayout() {
         throw new Error(data.error || 'Failed to submit Quick Add');
       }
 
-      const result = await response.json();
+      const data = await response.json();
-      const delegation = result.delegation;
+      const result = data.result as { id: string; inputType: string } | undefined;
 
-      // Add pending placeholder
+      if (result?.id) {
-      if (delegation?.id && delegation?.inputType) {
         setPendingNodes(prev => [{
-          id: delegation.id,
+          id: result.id,
-          input: input.slice(0, 120),
+          input: input.trim(),
-          inputType: delegation.inputType,
+          inputType: result.inputType || 'note',
           submittedAt: Date.now(),
           status: 'processing' as const,
         }, ...prev]);

src/services/agents/quickAdd.ts

@@ -6,7 +6,7 @@ import { formatNodeForChat } from '@/tools/infrastructure/nodeFormatter';
 import { summarizeTranscript } from './transcriptSummarizer';
 import { eventBroadcaster } from '@/services/events';
 
-export type QuickAddMode = 'link' | 'note' | 'chat';
+export type QuickAddMode = 'link' | 'text';
 
 export type QuickAddInputType = 'youtube' | 'website' | 'pdf' | 'note' | 'chat';
 
@@ -16,6 +16,15 @@ export interface QuickAddInput {
   description?: string;
 }
 
+export interface QuickAddResult {
+  id: string;
+  task: string;
+  inputType: QuickAddInputType;
+  status: 'queued' | 'completed' | 'failed';
+  summary?: string;
+  error?: string;
+}
+
 function isLikelyChatTranscript(raw: string): boolean {
   const newlineCount = (raw.match(/\n/g)?.length ?? 0);
   if (newlineCount >= 3 && raw.length > 300) return true;
@@ -25,13 +34,23 @@ function isLikelyChatTranscript(raw: string): boolean {
 }
 
 export function detectInputType(raw: string, mode?: QuickAddMode): QuickAddInputType {
-  if (mode === 'chat') return 'chat';
-  if (mode === 'note') return 'note';
-
   const input = raw.trim();
-  if (/youtu(\.be|be\.com)/i.test(input)) return 'youtube';
+  const isSingleLine = !input.includes('\n');
-  if (/\.pdf($|\?)/i.test(input) || /arxiv\.org\//i.test(input)) return 'pdf';
+
-  if (/^https?:\/\//i.test(input)) return 'website';
+  if (mode === 'text') {
+    return isLikelyChatTranscript(input) ? 'chat' : 'note';
+  }
+
+  if (isSingleLine) {
+    if (/youtu(\.be|be\.com)/i.test(input)) return 'youtube';
+    if (/\.pdf($|\?)/i.test(input) || /arxiv\.org\//i.test(input)) return 'pdf';
+    if (/^https?:\/\//i.test(input)) return 'website';
+  }
+
+  if (mode === 'link') {
+    return 'website';
+  }
+
   if (!mode && isLikelyChatTranscript(input)) return 'chat';
   return 'note';
 }
@@ -84,6 +103,30 @@ interface CreateNodeResponse {
   error?: string;
 }
 
+function deriveFallbackLinkTitle(rawUrl: string): string {
+  const trimmed = rawUrl.trim();
+  if (!trimmed) return 'Saved link';
+
+  try {
+    const parsed = new URL(trimmed);
+    const hostname = parsed.hostname.replace(/^www\./, '');
+    const lastSegment = parsed.pathname
+      .split('/')
+      .filter(Boolean)
+      .pop()
+      ?.replace(/[-_]+/g, ' ')
+      .trim();
+
+    if (lastSegment) {
+      return `${hostname}: ${lastSegment}`.slice(0, 160);
+    }
+
+    return hostname.slice(0, 160);
+  } catch {
+    return trimmed.slice(0, 160);
+  }
+}
+
 function buildStructuredSummary({ task, action, resultMessage, nodeReference }: SummaryParts): string {
   const normalizedResult = resultMessage?.trim().length ? resultMessage.trim() : `${action} completed.`;
   const normalizedNode = nodeReference || 'None';
@@ -160,32 +203,84 @@ async function handleExtractionQuickAdd(type: ExtractionQuickAddType, url: strin
   if (!execute) {
     throw new Error(`Tool ${toolName} does not have an execute function`);
   }
-  const rawResult = await execute({ url }, { toolCallId: 'quickadd-extract', messages: [] });
 
-  if (!isExtractionToolResult(rawResult)) {
+  try {
-    throw new Error(`Unexpected response from ${toolName}`);
+    const rawResult = await execute({ url }, { toolCallId: 'quickadd-extract', messages: [] });
+
+    if (!isExtractionToolResult(rawResult)) {
+      throw new Error(`Unexpected response from ${toolName}`);
+    }
+
+    const toolResult = rawResult;
+
+    if (!toolResult || toolResult.success === false) {
+      const errorMessage = toolResult?.error || `Failed to execute ${toolName}`;
+      throw new Error(errorMessage);
+    }
+
+    const summaryLine = summarizeToolExecution(toolName, { url }, toolResult);
+    const nodeId = toolResult.data?.nodeId;
+    const nodeTitle = typeof toolResult.data?.title === 'string' && toolResult.data.title.trim().length > 0
+      ? toolResult.data.title.trim()
+      : nodeId ? `Node ${nodeId}` : 'Created node';
+    const nodeReference = nodeId ? formatNodeForChat({ id: nodeId, title: nodeTitle }) : 'None';
+
+    return buildStructuredSummary({
+      task,
+      action: toolName,
+      resultMessage: summaryLine,
+      nodeReference,
+    });
+  } catch (error) {
+    const message = error instanceof Error ? error.message : `Failed to execute ${toolName}`;
+    const title = deriveFallbackLinkTitle(url);
+    const description =
+      `Link record for this source. RA-H could not correctly process the URL during ingestion because ${message}. Stored so the source is not lost and can be revisited later.`;
+    const notes = [
+      `Original URL: ${url}`,
+      `Ingestion failure: ${message}`,
+      `Attempted pipeline: ${type}`,
+    ].join('\n');
+
+    const response = await fetch(`${process.env.NEXT_PUBLIC_BASE_URL || 'http://localhost:3000'}/api/nodes`, {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({
+        title,
+        description,
+        notes,
+        link: url,
+        metadata: {
+          source: 'quick-add-link-fallback',
+          attempted_pipeline: type,
+          extraction_failed: true,
+          extraction_error: message,
+          refined_at: new Date().toISOString(),
+        },
+      }),
+    });
+
+    const rawFallbackResult = await response.json();
+    if (!isCreateNodeResponse(rawFallbackResult)) {
+      throw new Error(message);
+    }
+    if (!response.ok) {
+      throw new Error(rawFallbackResult.error || message);
+    }
+
+    const nodeId = rawFallbackResult.data?.id;
+    const nodeReference = nodeId ? formatNodeForChat({ id: nodeId, title }) : 'None';
+    const resultMessage = nodeId
+      ? `Link ingestion failed, so RA-H saved a fallback node ${nodeReference}. Reason: ${message}`
+      : `Link ingestion failed, so RA-H saved a fallback node. Reason: ${message}`;
+
+    return buildStructuredSummary({
+      task,
+      action: `${toolName} (fallback)`,
+      resultMessage,
+      nodeReference,
+    });
   }
-
-  const toolResult = rawResult;
-
-  if (!toolResult || toolResult.success === false) {
-    const errorMessage = toolResult?.error || `Failed to execute ${toolName}`;
-    throw new Error(errorMessage);
-  }
-
-  const summaryLine = summarizeToolExecution(toolName, { url }, toolResult);
-  const nodeId = toolResult.data?.nodeId;
-  const nodeTitle = typeof toolResult.data?.title === 'string' && toolResult.data.title.trim().length > 0
-    ? toolResult.data.title.trim()
-    : nodeId ? `Node ${nodeId}` : 'Created node';
-  const nodeReference = nodeId ? formatNodeForChat({ id: nodeId, title: nodeTitle }) : 'None';
-
-  return buildStructuredSummary({
-    task,
-    action: toolName,
-    resultMessage: summaryLine,
-    nodeReference,
-  });
 }
 
 async function handleNoteQuickAdd(rawInput: string, task: string, userDescription?: string): Promise<string> {
@@ -204,7 +299,6 @@ async function handleNoteQuickAdd(rawInput: string, task: string, userDescriptio
     },
   };
 
-  // If user provided a description, use it instead of auto-generating
   if (userDescription && userDescription.trim()) {
     nodePayload.description = userDescription.trim();
   }
@@ -330,15 +424,6 @@ async function handleChatTranscriptQuickAdd(rawInput: string, task: string): Pro
   });
 }
 
-export interface QuickAddResult {
-  id: string;
-  task: string;
-  inputType: QuickAddInputType;
-  status: 'queued' | 'completed' | 'failed';
-  summary?: string;
-  error?: string;
-}
-
 export async function enqueueQuickAdd({ rawInput, mode, description }: QuickAddInput): Promise<QuickAddResult> {
   const inputType = detectInputType(rawInput, mode);
   const task = buildTaskPrompt(inputType, rawInput);
@@ -351,25 +436,21 @@ export async function enqueueQuickAdd({ rawInput, mode, description }: QuickAddI
     status: 'queued',
   };
 
-  // Run async - fire and forget
   setImmediate(async () => {
     try {
-      let summary: string;
       if (inputType === 'note') {
-        summary = await handleNoteQuickAdd(rawInput, task, description);
+        await handleNoteQuickAdd(rawInput, task, description);
       } else if (inputType === 'chat') {
-        summary = await handleChatTranscriptQuickAdd(rawInput, task);
+        await handleChatTranscriptQuickAdd(rawInput, task);
       } else {
-        summary = await handleExtractionQuickAdd(inputType as ExtractionQuickAddType, rawInput, task);
+        await handleExtractionQuickAdd(inputType as ExtractionQuickAddType, rawInput, task);
       }
 
       console.log(`[QuickAdd] Completed: ${task}`);
-      // Broadcast completion so ThreePanelLayout can remove the pending placeholder
       eventBroadcaster.broadcast({
         type: 'QUICK_ADD_COMPLETED',
         data: { quickAddId: id, source: 'quick-add' }
       });
-      // Also broadcast NODE_CREATED to refresh the feed
       eventBroadcaster.broadcast({
         type: 'NODE_CREATED',
         data: { node: { title: task }, source: 'quick-add' }

src/services/database/descriptionService.ts

@@ -11,6 +11,9 @@ export interface DescriptionInput {
     channel_name?: string;
     author?: string;
     site_name?: string;
+    original_filename?: string;
+    pages?: number;
+    text_length?: number;
   };
   dimensions?: string[];
 }
@@ -75,10 +78,7 @@ export async function generateDescription(input: DescriptionInput): Promise<stri
       temperature: 0.3,
     });
 
-    const description = response.text.trim();
+    const finalDescription = sanitizeDescription(response.text, input);
-
-    // Ensure within character limit
-    const finalDescription = description.slice(0, 280);
 
     console.log(`[DescriptionService] Generated: "${finalDescription}"`);
 
@@ -126,6 +126,10 @@ function buildDescriptionPrompt(input: DescriptionInput): string {
   if (input.metadata?.channel_name) lines.push(`Channel: ${input.metadata.channel_name}`);
   if (input.metadata?.author) lines.push(`Author: ${input.metadata.author}`);
   if (input.metadata?.site_name) lines.push(`Site: ${input.metadata.site_name}`);
+  if (input.metadata?.source) lines.push(`Source type: ${input.metadata.source}`);
+  if (input.metadata?.original_filename) lines.push(`Original filename: ${input.metadata.original_filename}`);
+  if (typeof input.metadata?.pages === 'number') lines.push(`Pages: ${input.metadata.pages}`);
+  if (typeof input.metadata?.text_length === 'number') lines.push(`Text length: ${input.metadata.text_length}`);
   if (creatorHint) lines.push(`Creator hint: ${creatorHint}`);
   if (publisherHint) lines.push(`Publisher hint: ${publisherHint}`);
   lines.push(`Likely user-authored: ${likelyUserAuthored ? 'yes' : 'no'}`);
@@ -138,15 +142,19 @@ function buildDescriptionPrompt(input: DescriptionInput): string {
 Say WHAT this literally is and WHY it matters. Be concrete and specific — like you're telling a friend what this thing is in one breath.
 
 RULES:
-1) Name the format: "Podcast episode where…", "Blog post arguing…", "Your note on…", "Research paper showing…", "Idea that…"
+1) Name the format only if the context clearly supports it: "Podcast episode where…", "Blog post arguing…", "Personal note capturing…", "Research paper showing…", "Resume/CV for…", "Document likely containing…", "Idea that…"
 2) Name people by role — channel/host is the creator, title figures are guests/subjects. Use the Creator hint if available.
 3) State the actual claim, finding, or insight from the content — not a vague summary of the topic.
 4) End with why it's interesting or important — one concrete phrase.
 5) ABSOLUTELY FORBIDDEN — these words will be rejected: "discusses", "explores", "examines", "talks about", "is about", "delves into", "emphasizing the need for". State things directly instead.
+6) Do NOT start with "Your note —" or "This note —". Use a concrete opener tied to the actual artifact.
+7) If the artifact type is unclear, say so explicitly using words like "likely", "appears to be", or "unclear" rather than guessing a confident format.
 
 GOOD: "Karpathy blog post — AI agents make software fluid, ripping functionality from repos instead of taking dependencies. Signals the end of monolithic libraries."
 GOOD: "Dwarkesh Patel interview with Anthropic CEO Dario Amodei — argues we're nearing the end of exponential AI scaling. Key signal for what comes next."
-GOOD: "Your note — morning optimism consistently reverses to evening pessimism. Not energy — the belief itself flips. Pattern worth tracking."
+GOOD: "Personal note capturing a recurring pattern: morning optimism reverses to evening pessimism. Indicates a belief-level swing worth tracking."
+GOOD: "Resume/CV for Brad Morris outlining work in AI systems, context engineering, and RA-H. Useful as a compact record of background, projects, and expertise."
+GOOD: "Document likely related to Brad Morris's work history and AI consulting, but the exact artifact type is unclear from the available context. Still useful as a reference profile."
 BAD: "By Dario Amodei — discusses reaching the limits of exponential growth in AI, emphasizing the need for a critical perspective on future advancements."
 BAD: "This article explores ideas about how software is changing."
 
@@ -155,6 +163,24 @@ Return ONLY the description text. Nothing else.
 ${lines.join('\n')}`;
 }
 
+function sanitizeDescription(rawText: string, input: DescriptionInput): string {
+  const singleLine = rawText
+    .trim()
+    .replace(/\s+/g, ' ')
+    .replace(/^["']|["']$/g, '');
+
+  if (!singleLine) {
+    return input.title.slice(0, 280);
+  }
+
+  const noGenericPrefix = singleLine.replace(
+    /^(your note|this note)\s*[—:-]\s*/i,
+    'Personal note capturing '
+  );
+
+  return noGenericPrefix.slice(0, 280);
+}
+
 export const descriptionService = {
   generateDescription
 };

src/services/database/quality.ts

@@ -1,5 +1,5 @@
 const WEAK_DESCRIPTION_PATTERNS = /\b(discusses|explores|examines|talks about|is about|delves into)\b/i;
-const EXPLICIT_ENTITY_PATTERNS = /\b(article|artifact|book|brief|claim|company|conversation|dataset|decision|dimension|document|episode|essay|guide|idea|insight|interview|node|note|paper|person|plan|placeholder|podcast|presentation|project|question|record|research|skill|source|summary|talk|target|test node|thread|tool|transcript|tweet|video|website|workflow)\b/i;
+const EXPLICIT_ENTITY_PATTERNS = /\b(article|artifact|book|brief|claim|company|concept|conversation|dataset|decision|dimension|document|episode|essay|event|guide|idea|insight|interview|lesson|link|node|note|paper|person|plan|placeholder|podcast|post|presentation|project|question|record|research|resource|skill|source|status|summary|talk|target|test node|thread|tool|transcript|tweet|update|video|website|workflow)\b/i;
 const UNCERTAINTY_PATTERNS = /\b(likely|probably|possibly|appears to be|seems to be|unclear|uncertain)\b/i;
 const GENERIC_EDGE_PATTERNS = /^(related|related to|connected|connected to|association|associated with)$/i;
 

src/services/database/sqlite-client.ts

@@ -657,6 +657,15 @@ class SQLiteClient {
         if (edgeCols.some(c => c.name === 'user_feedback')) {
           try { this.db.exec('ALTER TABLE edges DROP COLUMN user_feedback;'); } catch {}
         }
+        if (!edgeCols.some(c => c.name === 'explanation')) {
+          this.db.exec('ALTER TABLE edges ADD COLUMN explanation TEXT;');
+          try {
+            this.db.exec(`
+              UPDATE edges SET explanation = json_extract(context, '$.explanation')
+              WHERE explanation IS NULL AND json_extract(context, '$.explanation') IS NOT NULL;
+            `);
+          } catch {}
+        }
 
         // Recreate nodes_fts to index title + description + notes
         try {

src/tools/other/websiteExtract.ts

@@ -5,21 +5,101 @@ import { generateText } from 'ai';
 import { extractWebsite } from '@/services/typescript/extractors/website';
 import { formatNodeForChat } from '../infrastructure/nodeFormatter';
 
-// AI-powered content analysis
+interface ExistingDimension {
-async function analyzeContentWithAI(title: string, description: string, contentType: string) {
+  name: string;
+  description: string | null;
+}
+
+function inferWebsiteContentType(url: string): 'website' | 'tweet' {
   try {
+    const hostname = new URL(url).hostname.toLowerCase();
+    return hostname === 'x.com' || hostname.endsWith('.x.com') || hostname === 'twitter.com' || hostname.endsWith('.twitter.com')
+      ? 'tweet'
+      : 'website';
+  } catch {
+    return 'website';
+  }
+}
+
+async function fetchExistingDimensions(): Promise<ExistingDimension[]> {
+  try {
+    const response = await fetch(`${process.env.NEXT_PUBLIC_BASE_URL || 'http://localhost:3000'}/api/dimensions/popular`);
+    if (!response.ok) return [];
+
+    const result = await response.json();
+    if (!Array.isArray(result.data)) return [];
+
+    return result.data
+      .map((dimension: { dimension?: unknown; description?: unknown }) => ({
+        name: typeof dimension.dimension === 'string' ? dimension.dimension.trim() : '',
+        description: typeof dimension.description === 'string' ? dimension.description.trim() : null
+      }))
+      .filter((dimension: ExistingDimension) => dimension.name.length > 0);
+  } catch (error) {
+    console.warn('Website dimension fetch fallback (no dimension context):', error);
+    return [];
+  }
+}
+
+function selectExistingDimensions(
+  selected: unknown,
+  existingDimensions: ExistingDimension[],
+  max = 5
+): string[] {
+  if (!Array.isArray(selected) || existingDimensions.length === 0) return [];
+
+  const byLowerName = new Map(existingDimensions.map((dimension) => [dimension.name.toLowerCase(), dimension.name]));
+  const normalized: string[] = [];
+  const seen = new Set<string>();
+
+  for (const value of selected) {
+    if (typeof value !== 'string') continue;
+    const matched = byLowerName.get(value.trim().toLowerCase());
+    if (!matched) continue;
+    const key = matched.toLowerCase();
+    if (seen.has(key)) continue;
+    seen.add(key);
+    normalized.push(matched);
+    if (normalized.length >= max) break;
+  }
+
+  return normalized;
+}
+
+// AI-powered content analysis
+async function analyzeContentWithAI(
+  title: string,
+  description: string,
+  contentType: string,
+  existingDimensions: ExistingDimension[]
+) {
+  try {
+    const availableDimensionsBlock = existingDimensions.length > 0
+      ? existingDimensions
+          .map((dimension) => `- ${dimension.name}${dimension.description ? `: ${dimension.description}` : ''}`)
+          .join('\n')
+      : '- No existing dimensions available. Return an empty dimensions array.';
     const prompt = `Analyze this ${contentType} content and provide classification.
 
 Title: "${title}"
 Description: "${description}"
 
 CRITICAL — nodeDescription rules (max 280 chars):
-1. Say WHAT this literally is: "Blog post by…", "Article from…", "Essay arguing…", "Tutorial on…", "Thread by…"
+1. Say WHAT this literally is using explicit entity words only: "Blog post by…", "Article from…", "Essay arguing…", "Tutorial on…", "Thread by…", "Tweet by…", "Post by…"
 2. Name the author/site if known from the metadata.
 3. State the actual claim or thesis — don't paraphrase into vague abstractions.
 4. End with why it's interesting or important — one concrete phrase.
 5. ABSOLUTELY FORBIDDEN: "discusses", "explores", "examines", "talks about", "delves into", "emphasizing the need for". State things directly.
 
+DIMENSION SELECTION (critical):
+You must select 0-3 dimensions from the list below.
+Do NOT invent new dimension names.
+Pick only dimensions that genuinely fit this content.
+If nothing fits, return an empty array.
+
+Available dimensions:
+${availableDimensionsBlock}
+
 Examples:
 - Title: "Software is eating the world — again" / Author: Andrej Karpathy
   GOOD: "Karpathy's blog post arguing AI agents make software fluid — they can rip functionality from repos instead of taking dependencies. Signals the end of monolithic libraries."
@@ -33,7 +113,7 @@ Respond with ONLY valid JSON (no markdown, no code blocks):
 {
   "enhancedDescription": "A comprehensive summary (3-6 paragraphs, 800-1500 chars). Cover key points, arguments, takeaways.",
   "nodeDescription": "<your 280-char description following the rules above>",
-  "tags": ["relevant", "semantic", "tags"],
+  "dimensions": ["existing-dimension-1", "existing-dimension-2"],
   "reasoning": "Brief explanation of classification choices"
 }`;
 
@@ -53,7 +133,7 @@ Respond with ONLY valid JSON (no markdown, no code blocks):
     return {
       enhancedDescription: result.enhancedDescription || description,
       nodeDescription: typeof result.nodeDescription === 'string' ? result.nodeDescription.slice(0, 280) : undefined,
-      tags: Array.isArray(result.tags) ? result.tags : [],
+      dimensions: selectExistingDimensions(result.dimensions, existingDimensions, 5),
       reasoning: result.reasoning || 'AI analysis completed'
     };
   } catch (error) {
@@ -62,7 +142,7 @@ Respond with ONLY valid JSON (no markdown, no code blocks):
     return {
       enhancedDescription: description,
       nodeDescription: undefined,
-      tags: [],
+      dimensions: [],
       reasoning: 'Fallback description used'
     };
   }
@@ -122,10 +202,13 @@ export const websiteExtractTool = tool({
       console.log('🎯 Website extraction successful, analyzing with AI...');
 
       // Step 2: AI Analysis for enhanced metadata
+      const existingDimensions = await fetchExistingDimensions();
+      const contentType = inferWebsiteContentType(url);
       const aiAnalysis = await analyzeContentWithAI(
         result.metadata?.title || `Website: ${new URL(url).hostname}`, 
         result.notes?.substring(0, 2000) || 'Website content', 
-        'website'
+        contentType,
+        existingDimensions
       );
 
       // Step 3: Create node with extracted content and AI analysis
@@ -138,6 +221,9 @@ export const websiteExtractTool = tool({
         .filter(Boolean);
 
       trimmedDimensions = trimmedDimensions.slice(0, 5);
+      const finalDimensions = trimmedDimensions.length > 0
+        ? trimmedDimensions
+        : (aiAnalysis?.dimensions || []).slice(0, 5);
 
       const createResponse = await fetch(`${process.env.NEXT_PUBLIC_BASE_URL || 'http://localhost:3000'}/api/nodes`, {
         method: 'POST',
@@ -147,10 +233,11 @@ export const websiteExtractTool = tool({
           description: aiAnalysis?.nodeDescription,
           notes: enhancedDescription,
           link: url,
-          dimensions: trimmedDimensions,
+          event_date: result.metadata?.published_date || result.metadata?.date || null,
+          dimensions: finalDimensions,
           chunk: result.chunk || result.notes,
           metadata: {
-            source: 'website',
+            source: contentType,
             hostname: new URL(url).hostname,
             author: result.metadata?.author,
             published_date: result.metadata?.published_date || result.metadata?.date,
@@ -176,7 +263,7 @@ export const websiteExtractTool = tool({
       console.log('🎯 WebsiteExtract completed successfully');
 
       // Use actual assigned dimensions from API response (includes auto-assigned locked + keywords)
-      const actualDimensions: string[] = createResult.data?.dimensions || trimmedDimensions || [];
+      const actualDimensions: string[] = createResult.data?.dimensions || finalDimensions || [];
       const formattedNode = createResult.data?.id
         ? formatNodeForChat({ id: createResult.data.id, title: nodeTitle, dimensions: actualDimensions })
         : nodeTitle;

src/tools/other/youtubeExtract.ts

@@ -5,9 +5,69 @@ import { generateText } from 'ai';
 import { extractYouTube } from '@/services/typescript/extractors/youtube';
 import { formatNodeForChat } from '../infrastructure/nodeFormatter';
 
-// AI-powered content analysis
+interface ExistingDimension {
-async function analyzeContentWithAI(title: string, description: string, contentType: string) {
+  name: string;
+  description: string | null;
+}
+
+async function fetchExistingDimensions(): Promise<ExistingDimension[]> {
   try {
+    const response = await fetch(`${process.env.NEXT_PUBLIC_BASE_URL || 'http://localhost:3000'}/api/dimensions/popular`);
+    if (!response.ok) return [];
+
+    const result = await response.json();
+    if (!Array.isArray(result.data)) return [];
+
+    return result.data
+      .map((dimension: { dimension?: unknown; description?: unknown }) => ({
+        name: typeof dimension.dimension === 'string' ? dimension.dimension.trim() : '',
+        description: typeof dimension.description === 'string' ? dimension.description.trim() : null
+      }))
+      .filter((dimension: ExistingDimension) => dimension.name.length > 0);
+  } catch (error) {
+    console.warn('YouTube dimension fetch fallback (no dimension context):', error);
+    return [];
+  }
+}
+
+function selectExistingDimensions(
+  selected: unknown,
+  existingDimensions: ExistingDimension[],
+  max = 5
+): string[] {
+  if (!Array.isArray(selected) || existingDimensions.length === 0) return [];
+
+  const byLowerName = new Map(existingDimensions.map((dimension) => [dimension.name.toLowerCase(), dimension.name]));
+  const normalized: string[] = [];
+  const seen = new Set<string>();
+
+  for (const value of selected) {
+    if (typeof value !== 'string') continue;
+    const matched = byLowerName.get(value.trim().toLowerCase());
+    if (!matched) continue;
+    const key = matched.toLowerCase();
+    if (seen.has(key)) continue;
+    seen.add(key);
+    normalized.push(matched);
+    if (normalized.length >= max) break;
+  }
+
+  return normalized;
+}
+
+// AI-powered content analysis
+async function analyzeContentWithAI(
+  title: string,
+  description: string,
+  contentType: string,
+  existingDimensions: ExistingDimension[]
+) {
+  try {
+    const availableDimensionsBlock = existingDimensions.length > 0
+      ? existingDimensions
+          .map((dimension) => `- ${dimension.name}${dimension.description ? `: ${dimension.description}` : ''}`)
+          .join('\n')
+      : '- No existing dimensions available. Return an empty dimensions array.';
     const prompt = `Analyze this ${contentType} content and provide classification.
 
 Title: "${title}"
@@ -20,6 +80,15 @@ CRITICAL — nodeDescription rules (max 280 chars):
 4. End with why it's interesting or important — one concrete phrase.
 5. ABSOLUTELY FORBIDDEN: "discusses", "explores", "examines", "talks about", "delves into", "emphasizing the need for". State things directly.
 
+DIMENSION SELECTION (critical):
+You must select 0-3 dimensions from the list below.
+Do NOT invent new dimension names.
+Pick only dimensions that genuinely fit this content.
+If nothing fits, return an empty array.
+
+Available dimensions:
+${availableDimensionsBlock}
+
 Examples:
 - Title: "Dario Amodei — We are near the end of the exponential" / Channel: Dwarkesh Patel
   GOOD: "Dwarkesh Patel interview with Anthropic CEO Dario Amodei — argues we're nearing the end of exponential AI scaling. Key signal for what the next phase of AI development looks like."
@@ -33,7 +102,7 @@ Respond with ONLY valid JSON (no markdown, no code blocks):
 {
   "enhancedDescription": "A comprehensive summary (3-6 paragraphs, 800-1500 chars). Cover key points, arguments, takeaways.",
   "nodeDescription": "<your 280-char description following the rules above>",
-  "tags": ["relevant", "semantic", "tags"],
+  "dimensions": ["existing-dimension-1", "existing-dimension-2"],
   "reasoning": "Brief explanation of classification choices"
 }`;
 
@@ -53,7 +122,7 @@ Respond with ONLY valid JSON (no markdown, no code blocks):
     return {
       enhancedDescription: result.enhancedDescription || description,
       nodeDescription: typeof result.nodeDescription === 'string' ? result.nodeDescription.slice(0, 280) : undefined,
-      tags: Array.isArray(result.tags) ? result.tags : [],
+      dimensions: selectExistingDimensions(result.dimensions, existingDimensions, 5),
       reasoning: result.reasoning || 'AI analysis completed'
     };
   } catch (error) {
@@ -62,7 +131,7 @@ Respond with ONLY valid JSON (no markdown, no code blocks):
     return {
       enhancedDescription: description,
       nodeDescription: undefined,
-      tags: [],
+      dimensions: [],
       reasoning: 'Fallback description used'
     };
   }
@@ -164,10 +233,12 @@ export const youtubeExtractTool = tool({
       console.log('🎯 YouTube extraction successful, analyzing with AI...');
 
       // Step 2: AI Analysis for enhanced metadata
+      const existingDimensions = await fetchExistingDimensions();
       const aiAnalysis = await analyzeContentWithAI(
         result.metadata?.video_title || 'YouTube Video', 
         `Video by ${result.metadata?.channel_name || 'Unknown Channel'}`, 
-        'youtube'
+        'youtube',
+        existingDimensions
       );
 
       // Step 3: Create node with extracted content and AI analysis
@@ -181,6 +252,9 @@ export const youtubeExtractTool = tool({
         .filter(Boolean);
 
       trimmedDimensions = trimmedDimensions.slice(0, 5);
+      const finalDimensions = trimmedDimensions.length > 0
+        ? trimmedDimensions
+        : (aiAnalysis?.dimensions || []).slice(0, 5);
 
       const createResponse = await fetch(`${process.env.NEXT_PUBLIC_BASE_URL || 'http://localhost:3000'}/api/nodes`, {
         method: 'POST',
@@ -190,7 +264,7 @@ export const youtubeExtractTool = tool({
           description: aiAnalysis?.nodeDescription,
           notes: nodeNotes,
           link: url,
-          dimensions: trimmedDimensions,
+          dimensions: finalDimensions,
           chunk: result.chunk || result.notes,
           metadata: {
             source: 'youtube',
@@ -222,7 +296,7 @@ export const youtubeExtractTool = tool({
       console.log('🎯 YouTubeExtract completed successfully');
 
       // Use actual assigned dimensions from API response (includes auto-assigned locked + keywords)
-      const actualDimensions: string[] = createResult.data?.dimensions || trimmedDimensions || [];
+      const actualDimensions: string[] = createResult.data?.dimensions || finalDimensions || [];
       const formattedNode = createResult.data?.id
         ? formatNodeForChat({ id: createResult.data.id, title: nodeTitle, dimensions: actualDimensions })
         : nodeTitle;