diff --git a/backend/innercontext/api/llm_context.py b/backend/innercontext/api/llm_context.py
index 8c063a6..6b9b19e 100644
--- a/backend/innercontext/api/llm_context.py
+++ b/backend/innercontext/api/llm_context.py
@@ -72,26 +72,47 @@ def build_product_context_summary(product: Product, has_inventory: bool = False)
     if hasattr(product, "effect_profile") and product.effect_profile:
         profile = product.effect_profile
         # Only include notable effects (score > 0)
-        if profile.hydration_immediate and profile.hydration_immediate > 0:
-            effects.append(f"hydration={profile.hydration_immediate}")
-        if profile.exfoliation_strength and profile.exfoliation_strength > 0:
-            effects.append(f"exfoliation={profile.exfoliation_strength}")
-        if profile.retinoid_strength and profile.retinoid_strength > 0:
-            effects.append(f"retinoid={profile.retinoid_strength}")
-        if profile.irritation_risk and profile.irritation_risk > 0:
-            effects.append(f"irritation_risk={profile.irritation_risk}")
-        if profile.barrier_disruption_risk and profile.barrier_disruption_risk > 0:
-            effects.append(f"barrier_risk={profile.barrier_disruption_risk}")
+        # Handle both dict (from DB) and object (from Pydantic)
+        if isinstance(profile, dict):
+            if profile.get("hydration_immediate", 0) > 0:
+                effects.append(f"hydration={profile['hydration_immediate']}")
+            if profile.get("exfoliation_strength", 0) > 0:
+                effects.append(f"exfoliation={profile['exfoliation_strength']}")
+            if profile.get("retinoid_strength", 0) > 0:
+                effects.append(f"retinoid={profile['retinoid_strength']}")
+            if profile.get("irritation_risk", 0) > 0:
+                effects.append(f"irritation_risk={profile['irritation_risk']}")
+            if profile.get("barrier_disruption_risk", 0) > 0:
+                effects.append(f"barrier_risk={profile['barrier_disruption_risk']}")
+        else:
+            if profile.hydration_immediate and profile.hydration_immediate > 0:
+                effects.append(f"hydration={profile.hydration_immediate}")
+            if profile.exfoliation_strength and profile.exfoliation_strength > 0:
+                effects.append(f"exfoliation={profile.exfoliation_strength}")
+            if profile.retinoid_strength and profile.retinoid_strength > 0:
+                effects.append(f"retinoid={profile.retinoid_strength}")
+            if profile.irritation_risk and profile.irritation_risk > 0:
+                effects.append(f"irritation_risk={profile.irritation_risk}")
+            if profile.barrier_disruption_risk and profile.barrier_disruption_risk > 0:
+                effects.append(f"barrier_risk={profile.barrier_disruption_risk}")
 
     effects_str = f" effects={{{','.join(effects)}}}" if effects else ""
 
     # Safety flags
     safety_flags = []
     if hasattr(product, "context_rules") and product.context_rules:
-        if product.context_rules.safe_with_compromised_barrier:
-            safety_flags.append("barrier_ok")
-        if not product.context_rules.safe_after_shaving:
-            safety_flags.append("!post_shave")
+        rules = product.context_rules
+        # Handle both dict (from DB) and object (from Pydantic)
+        if isinstance(rules, dict):
+            if rules.get("safe_with_compromised_barrier"):
+                safety_flags.append("barrier_ok")
+            if not rules.get("safe_after_shaving", True):
+                safety_flags.append("!post_shave")
+        else:
+            if rules.safe_with_compromised_barrier:
+                safety_flags.append("barrier_ok")
+            if not rules.safe_after_shaving:
+                safety_flags.append("!post_shave")
 
     safety_str = f" safety={{{','.join(safety_flags)}}}" if safety_flags else ""