diff --git a/GramAddict/core/goap.py b/GramAddict/core/goap.py
index ecf3ec9..c10addf 100644
--- a/GramAddict/core/goap.py
+++ b/GramAddict/core/goap.py
@@ -381,7 +381,8 @@ class GoalExecutor:
         else:
             # For interactions (like, follow) or unknown goals, use XML delta + semantic verify
             if ui_changed:
-                verification = engine.verify_success(action, post_xml, device=self.device)
+                score = best_node.get("score", 0.0) if best_node else 0.0
+                verification = engine.verify_success(action, post_xml, device=self.device, confidence=score)
                 if verification is True:
                     action_success = True
                     logger.info(f"✅ [GOAP Step] Interaction '{action}' successful.")
diff --git a/GramAddict/core/perception/action_memory.py b/GramAddict/core/perception/action_memory.py
index 856055d..1a2c37a 100644
--- a/GramAddict/core/perception/action_memory.py
+++ b/GramAddict/core/perception/action_memory.py
@@ -77,7 +77,7 @@ class ActionMemory:
 
         self._last_click_context = None
 
-    def verify_success(self, intent: str, pre_click_xml: str, post_click_xml: str, device=None) -> Optional[bool]:
+    def verify_success(self, intent: str, pre_click_xml: str, post_click_xml: str, device=None, confidence: float = 0.0) -> Optional[bool]:
         """
         Structural and Visual verification: Did the UI actually change after the click?
         """
@@ -91,8 +91,9 @@ class ActionMemory:
         # State toggles (like, save, follow) rarely change XML length predictably
         state_toggles = ["like", "save", "follow", "heart"]
         if any(t in intent.lower() for t in state_toggles):
-            if device:
-                logger.info(f"👁️ [ActionMemory] Handing over verification for '{intent}' to VLM visual analysis...")
+            # If we are highly confident (e.g. pulled from Qdrant memory), bypass heavy VLM
+            if device and confidence < 0.95:
+                logger.info(f"👁️ [ActionMemory] Confidence ({confidence:.2f}) < 0.95. Handing over verification for '{intent}' to VLM visual analysis...")
                 from GramAddict.core.perception.semantic_evaluator import SemanticEvaluator
                 evaluator = SemanticEvaluator()
                 
diff --git a/GramAddict/core/telepathic_engine.py b/GramAddict/core/telepathic_engine.py
index 459f0df..16498d3 100644
--- a/GramAddict/core/telepathic_engine.py
+++ b/GramAddict/core/telepathic_engine.py
@@ -180,11 +180,11 @@ class TelepathicEngine:
     def decay_click(self, intent: str = None):
         self._memory.reject_click(intent)  # Alias to reject
 
-    def verify_success(self, intent: str, post_click_xml: str, device=None) -> bool:
+    def verify_success(self, intent: str, post_click_xml: str, device=None, confidence: float = 0.0) -> bool:
         pre_click_xml = ""
         if self._memory._last_click_context:
             pre_click_xml = self._memory._last_click_context.get("xml_context", "")
-        return self._memory.verify_success(intent, pre_click_xml, post_click_xml, device=device)
+        return self._memory.verify_success(intent, pre_click_xml, post_click_xml, device=device, confidence=confidence)
 
     # ──────────────────────────────────────────────
     # Semantic Evaluator Delegation