diff --git a/studies/M1_Mirror/m1_mirror_cost_reduction_lateral/atomizer_spec.json b/studies/M1_Mirror/m1_mirror_cost_reduction_lateral/atomizer_spec.json
index d7d327b8..be6f15a4 100644
--- a/studies/M1_Mirror/m1_mirror_cost_reduction_lateral/atomizer_spec.json
+++ b/studies/M1_Mirror/m1_mirror_cost_reduction_lateral/atomizer_spec.json
@@ -2,9 +2,9 @@
   "meta": {
     "version": "2.0",
     "created": "2026-01-17T15:35:12.024432Z",
-    "modified": "2026-01-17T16:33:51.000000Z",
+    "modified": "2026-01-20T19:01:36.016065Z",
     "created_by": "migration",
-    "modified_by": "claude",
+    "modified_by": "canvas",
     "study_name": "m1_mirror_cost_reduction_lateral",
     "description": "Lateral support optimization with new U-joint expressions (lateral_inner_u, lateral_outer_u) for cost reduction model. Focus on WFE and MFG only - no mass objective.",
     "tags": [
@@ -204,16 +204,12 @@
     },
     {
       "id": "ext_003",
-      "name": "Volume Extractor",
-      "type": "custom",
+      "name": "Volume Extractor custom",
+      "type": "custom_function",
       "builtin": false,
       "config": {
         "density_kg_m3": 2530.0
       },
-      "custom_function": {
-        "name": "extract_volume",
-        "code": "def extract_volume(trial_dir, config, context):\n    \"\"\"\n    Extract volume from mass using material density.\n    Volume = Mass / Density\n    \n    For Zerodur glass-ceramic: density ~ 2530 kg/m³\n    \"\"\"\n    import json\n    from pathlib import Path\n    \n    # Get mass from the mass extractor results\n    results_file = Path(trial_dir) / 'results.json'\n    if results_file.exists():\n        with open(results_file) as f:\n            results = json.load(f)\n        mass_kg = results.get('mass_kg', 0)\n    else:\n        # If no results yet, try to get from context\n        mass_kg = context.get('mass_kg', 0)\n    \n    density = config.get('density_kg_m3', 2530.0)  # Zerodur default\n    \n    # Volume in m³\n    volume_m3 = mass_kg / density if density > 0 else 0\n    \n    # Also calculate in liters for convenience (1 m³ = 1000 L)\n    volume_liters = volume_m3 * 1000\n    \n    return {\n        'volume_m3': volume_m3,\n        'volume_liters': volume_liters\n    }\n"
-      },
       "outputs": [
         {
           "name": "volume_m3",
@@ -227,7 +223,55 @@
       "canvas_position": {
         "x": 740,
         "y": 400
+      },
+      "function": {
+        "name": "extract_volume",
+        "module": null,
+        "signature": null,
+        "source_code": "def extract_volume(trial_dir, config, context):\n    \"\"\"\n    Extract volume from mass using material density.\n    Volume = Mass / Density\n    \n    For Zerodur glass-ceramic: density ~ 2530 kg/m³\n    \"\"\"\n    import json\n    from pathlib import Path\n    \n    # Get mass from the mass extractor results\n    results_file = Path(trial_dir) / 'results.json'\n    if results_file.exists():\n        with open(results_file) as f:\n            results = json.load(f)\n        mass_kg = results.get('mass_kg', 0)\n    else:\n        # If no results yet, try to get from context\n        mass_kg = context.get('mass_kg', 0)\n    \n    density = config.get('density_kg_m3', 2530.0)  # Zerodur default\n    \n    # Volume in m³\n    volume_m3 = mass_kg / density if density > 0 else 0\n    \n    # Also calculate in liters for convenience (1 m³ = 1000 L)\n    volume_liters = volume_m3 * 1000000\n    \n    return {\n        'volume_m3': volume_m3,\n        'volume_liters': volume_liters\n    }\n"
       }
+    },
+    {
+      "name": "a1768934465995fsfdadd",
+      "type": "custom_function",
+      "builtin": false,
+      "enabled": true,
+      "function": {
+        "name": "extract",
+        "source_code": "def extract(op2_path: str, config: dict = None) -> dict:\n    \"\"\"\n    Custom extractor function.\n    \n    Args:\n        op2_path: Path to the OP2 results file\n        config: Optional configuration dict\n    \n    Returns:\n        Dictionary with extracted values\n    \"\"\"\n    # TODO: Implement extraction logic\n    return {'value': 0.0}\n"
+      },
+      "outputs": [
+        {
+          "name": "value",
+          "metric": "custom"
+        }
+      ],
+      "canvas_position": {
+        "x": 661.4703818070815,
+        "y": 655.713625352519
+      },
+      "id": "ext_004"
+    },
+    {
+      "name": "extractor_1768934622682",
+      "type": "custom_function",
+      "builtin": false,
+      "enabled": true,
+      "function": {
+        "name": "extract",
+        "source_code": "def extract(op2_path: str, config: dict = None) -> dict:\n    \"\"\"\n    Custom extractor function.\n    \n    Args:\n        op2_path: Path to the OP2 results file\n        config: Optional configuration dict\n    \n    Returns:\n        Dictionary with extracted values\n    \"\"\"\n    # TODO: Implement extraction logic\n    return {'value': 0.0}\n"
+      },
+      "outputs": [
+        {
+          "name": "value",
+          "metric": "custom"
+        }
+      ],
+      "canvas_position": {
+        "x": 588.8370255010856,
+        "y": 516.8654070156841
+      },
+      "id": "ext_005"
     }
   ],
   "objectives": [