docs(planning): clean up next milestone document and remove completion markers

- Remove excessive completion checkmarks and status markers throughout document
- Consolidate redundant sections on completed features
- Streamline executive summary and current status sections
- Focus content on upcoming quick wins and active tasks
- Remove duplicate phase completion listings
- Clean up success metrics and KPI sections
- Maintain essential planning information while reducing noise

workspace/planning-analysis/final_cleanup.py

@@ -0,0 +1,60 @@
+#!/usr/bin/env python3
+"""
+Final Cleanup Script
+Handles remaining completed task patterns
+"""
+
+import re
+from pathlib import Path
+
+def final_cleanup(file_path):
+    """Final cleanup of remaining completed task patterns"""
+    
+    try:
+        with open(file_path, 'r', encoding='utf-8') as f:
+            content = f.read()
+        
+        # Find patterns with ✅ at the end of lines
+        end_of_line_patterns = [
+            r'^(.+)\s*✅\s*COMPLETE\s*$',
+            r'^(.+)\s*✅\s*IMPLEMENTED\s*$',
+            r'^(.+)\s*✅\s*OPERATIONAL\s*$',
+            r'^(.+)\s*✅\s*DEPLOYED\s*$',
+            r'^(.+)\s*✅\s*WORKING\s*$',
+            r'^(.+)\s*✅\s*FUNCTIONAL\s*$'
+        ]
+        
+        lines = content.split('\n')
+        lines_to_remove = []
+        
+        for i, line in enumerate(lines):
+            for pattern in end_of_line_patterns:
+                if re.search(pattern, line, re.IGNORECASE):
+                    lines_to_remove.append(i)
+                    break
+        
+        # Remove lines (in reverse order to maintain indices)
+        for line_num in sorted(lines_to_remove, reverse=True):
+            del lines[line_num]
+        
+        # Write back
+        with open(file_path, 'w', encoding='utf-8') as f:
+            f.write('\n'.join(lines))
+        
+        return len(lines_to_remove)
+    
+    except Exception as e:
+        print(f"Error: {e}")
+        return 0
+
+if __name__ == "__main__":
+    file_path = "/opt/aitbc/docs/10_plan/01_core_planning/00_nextMileston.md"
+    removed = final_cleanup(file_path)
+    print(f"Final cleanup: Removed {removed} additional completed task lines")
+    
+    # Verify
+    with open(file_path, 'r') as f:
+        content = f.read()
+    
+    remaining = len(re.findall(r'', content))
+    print(f"Remaining completed task markers: {remaining}")