diff --git a/modules/source/15_mlops/mlops_dev.py b/modules/source/15_mlops/mlops_dev.py
index 58db9638..331a1cbb 100644
--- a/modules/source/15_mlops/mlops_dev.py
+++ b/modules/source/15_mlops/mlops_dev.py
@@ -157,6 +157,11 @@ Data → Training → Compression → Kernels → Benchmarking → Monitor → D
 MLOps closes this loop, creating **self-maintaining systems**.
 """
 
+# %% [markdown]
+"""
+## 🔧 DEVELOPMENT
+"""
+
 # %% [markdown]
 """
 ## Step 1: Performance Drift Monitor - Tracking Model Health
@@ -1621,6 +1626,11 @@ Time to test your implementation! This section uses TinyTorch's standardized tes
 **This testing section is locked** - it provides consistent feedback across all modules and cannot be modified.
 """
 
+# %% [markdown]
+"""
+## 🤖 AUTO TESTING
+"""
+
 # %% nbgrader={"grade": false, "grade_id": "standardized-testing", "locked": true, "schema_version": 3, "solution": false, "task": false}
 # =============================================================================
 # STANDARDIZED MODULE TESTING - DO NOT MODIFY
@@ -1635,7 +1645,7 @@ if __name__ == "__main__":
 
 # %% [markdown]
 """
-## 🎯 Module Summary: MLOps Production Systems
+## 🎯 MODULE SUMMARY: MLOps Production Systems
 
 Congratulations! You've successfully implemented a complete MLOps system for production ML lifecycle management: