diff --git a/web/clean_dashboard.py b/web/clean_dashboard.py
index 04bbe0a..34520a7 100644
--- a/web/clean_dashboard.py
+++ b/web/clean_dashboard.py
@@ -1328,7 +1328,9 @@ class CleanTradingDashboard:
         )
         def update_dqn_inference_toggle(value):
             if self.orchestrator:
-                self.orchestrator.set_model_toggle_state("dqn", inference_enabled=value)
+                enabled = bool(value and len(value) > 0)  # Convert list to boolean
+                self.orchestrator.set_model_toggle_state("dqn", inference_enabled=enabled)
+                logger.info(f"DQN inference toggle: {enabled}")
             return value
 
         @self.app.callback(
@@ -1338,7 +1340,9 @@ class CleanTradingDashboard:
         )
         def update_dqn_training_toggle(value):
             if self.orchestrator:
-                self.orchestrator.set_model_toggle_state("dqn", training_enabled=value)
+                enabled = bool(value and len(value) > 0)  # Convert list to boolean
+                self.orchestrator.set_model_toggle_state("dqn", training_enabled=enabled)
+                logger.info(f"DQN training toggle: {enabled}")
             return value
 
         @self.app.callback(
@@ -1348,7 +1352,9 @@ class CleanTradingDashboard:
         )
         def update_cnn_inference_toggle(value):
             if self.orchestrator:
-                self.orchestrator.set_model_toggle_state("cnn", inference_enabled=value)
+                enabled = bool(value and len(value) > 0)  # Convert list to boolean
+                self.orchestrator.set_model_toggle_state("cnn", inference_enabled=enabled)
+                logger.info(f"CNN inference toggle: {enabled}")
             return value
 
         @self.app.callback(
@@ -1358,7 +1364,9 @@ class CleanTradingDashboard:
         )
         def update_cnn_training_toggle(value):
             if self.orchestrator:
-                self.orchestrator.set_model_toggle_state("cnn", training_enabled=value)
+                enabled = bool(value and len(value) > 0)  # Convert list to boolean
+                self.orchestrator.set_model_toggle_state("cnn", training_enabled=enabled)
+                logger.info(f"CNN training toggle: {enabled}")
             return value
 
         @self.app.callback(
@@ -1368,7 +1376,9 @@ class CleanTradingDashboard:
         )
         def update_cob_rl_inference_toggle(value):
             if self.orchestrator:
-                self.orchestrator.set_model_toggle_state("cob_rl", inference_enabled=value)
+                enabled = bool(value and len(value) > 0)  # Convert list to boolean
+                self.orchestrator.set_model_toggle_state("cob_rl", inference_enabled=enabled)
+                logger.info(f"COB RL inference toggle: {enabled}")
             return value
 
         @self.app.callback(
@@ -1378,7 +1388,9 @@ class CleanTradingDashboard:
         )
         def update_cob_rl_training_toggle(value):
             if self.orchestrator:
-                self.orchestrator.set_model_toggle_state("cob_rl", training_enabled=value)
+                enabled = bool(value and len(value) > 0)  # Convert list to boolean
+                self.orchestrator.set_model_toggle_state("cob_rl", training_enabled=enabled)
+                logger.info(f"COB RL training toggle: {enabled}")
             return value
 
         @self.app.callback(
@@ -1388,7 +1400,9 @@ class CleanTradingDashboard:
         )
         def update_decision_fusion_inference_toggle(value):
             if self.orchestrator:
-                self.orchestrator.set_model_toggle_state("decision_fusion", inference_enabled=value)
+                enabled = bool(value and len(value) > 0)  # Convert list to boolean
+                self.orchestrator.set_model_toggle_state("decision_fusion", inference_enabled=enabled)
+                logger.info(f"Decision Fusion inference toggle: {enabled}")
             return value
 
         @self.app.callback(
@@ -1398,7 +1412,9 @@ class CleanTradingDashboard:
         )
         def update_decision_fusion_training_toggle(value):
             if self.orchestrator:
-                self.orchestrator.set_model_toggle_state("decision_fusion", training_enabled=value)
+                enabled = bool(value and len(value) > 0)  # Convert list to boolean
+                self.orchestrator.set_model_toggle_state("decision_fusion", training_enabled=enabled)
+                logger.info(f"Decision Fusion training toggle: {enabled}")
             return value
             """Update cold start training mode"""
             logger.debug(f"Cold start callback triggered with value: {switch_value}")
diff --git a/web/component_manager.py b/web/component_manager.py
index 6b61b3a..70c9a24 100644
--- a/web/component_manager.py
+++ b/web/component_manager.py
@@ -783,16 +783,29 @@ class DashboardComponentManager:
                                     html.Span(f" [{checkpoint_status}]", className=f"small {'text-success' if checkpoint_status == 'LOADED' else 'text-warning'} ms-1")
                                 ], style={"flex": "1"}),
                                 
-                                # Activation toggle (if easy to implement)
+                                # Inference and Training toggles
                                 html.Div([
-                                    dcc.Checklist(
-                                        id=f"toggle-{model_name}",
-                                        options=[{"label": "", "value": "active"}],
-                                        value=["active"] if is_active else [],
-                                        className="form-check-input",
-                                        style={"transform": "scale(0.8)"}
-                                    )
-                                ], className="form-check form-switch")
+                                    html.Div([
+                                        html.Label("Inf", className="text-muted small me-1", style={"font-size": "10px"}),
+                                        dcc.Checklist(
+                                            id=f"{model_name}-inference-toggle",
+                                            options=[{"label": "", "value": True}],
+                                            value=[True] if model_info.get('inference_enabled', True) else [],
+                                            className="form-check-input me-2",
+                                            style={"transform": "scale(0.7)"}
+                                        )
+                                    ], className="d-flex align-items-center me-2"),
+                                    html.Div([
+                                        html.Label("Trn", className="text-muted small me-1", style={"font-size": "10px"}),
+                                        dcc.Checklist(
+                                            id=f"{model_name}-training-toggle",
+                                            options=[{"label": "", "value": True}],
+                                            value=[True] if model_info.get('training_enabled', True) else [],
+                                            className="form-check-input",
+                                            style={"transform": "scale(0.7)"}
+                                        )
+                                    ], className="d-flex align-items-center")
+                                ], className="d-flex")
                             ], className="d-flex align-items-center mb-1"),
                             
                                                     # Model metrics