diff --git a/examples/advanced/multiple_tasks_single_process.py b/examples/advanced/multiple_tasks_single_process.py
index 376dcd16..6386ea9b 100644
--- a/examples/advanced/multiple_tasks_single_process.py
+++ b/examples/advanced/multiple_tasks_single_process.py
@@ -2,7 +2,7 @@ from clearml import Task
 
 
 for i in range(3):
-    task = Task.init(project_name="same process, multiple tasks", task_name="Task #{}".format(i))
+    task = Task.init(project_name="examples", task_name="same process, multiple tasks, Task #{}".format(i))
     # Doing Task processing here
     print("Task #{} running".format(i))
     #
diff --git a/examples/frameworks/fastai/fastai_with_tensorboard.py b/examples/frameworks/fastai/fastai_with_tensorboard.py
index 570a9ca6..c93c9e82 100644
--- a/examples/frameworks/fastai/fastai_with_tensorboard.py
+++ b/examples/frameworks/fastai/fastai_with_tensorboard.py
@@ -8,7 +8,7 @@ from clearml import Task
 
 # Connecting ClearML with the current process,
 # from here on everything is logged automatically
-task = Task.init(project_name="example", task_name="fastai with tensorboard callback")
+task = Task.init(project_name="examples", task_name="fastai with tensorboard callback")
 
 path = untar_data(URLs.MNIST_SAMPLE)
 
diff --git a/examples/frameworks/ignite/cifar_ignite.py b/examples/frameworks/ignite/cifar_ignite.py
index 79fc3a9f..ce98363a 100644
--- a/examples/frameworks/ignite/cifar_ignite.py
+++ b/examples/frameworks/ignite/cifar_ignite.py
@@ -19,7 +19,7 @@ from clearml import Task, StorageManager
 
 # Connecting ClearML with the current process,
 # from here on everything is logged automatically
-task = Task.init(project_name='Image Example', task_name='image classification CIFAR10')
+task = Task.init(project_name='examples', task_name='image classification CIFAR10')
 params = {'number_of_epochs': 20, 'batch_size': 64, 'dropout': 0.25, 'base_lr': 0.001, 'momentum': 0.9, 'loss_report': 100}
 params = task.connect(params)  # enabling configuration override by clearml
 print(params)  # printing actual configuration (after override in remote mode)
diff --git a/examples/reporting/artifacts_retrieval.py b/examples/reporting/artifacts_retrieval.py
index 30b607aa..653e8300 100644
--- a/examples/reporting/artifacts_retrieval.py
+++ b/examples/reporting/artifacts_retrieval.py
@@ -8,7 +8,7 @@ from clearml import Task
 
 def main():
     # Getting the task we want to get the artifacts from
-    artifacts_task = Task.get_task(project_name='ClearML Examples', task_name='artifacts example')
+    artifacts_task = Task.get_task(project_name='examples', task_name='artifacts example')
 
     # getting the numpy object back
     numpy_artifact = artifacts_task.artifacts['Numpy Eye'].get()
diff --git a/examples/services/monitoring/slack_alerts.py b/examples/services/monitoring/slack_alerts.py
index c0272625..fd720bd3 100644
--- a/examples/services/monitoring/slack_alerts.py
+++ b/examples/services/monitoring/slack_alerts.py
@@ -201,7 +201,7 @@ def main():
     # start the monitoring Task
     # Connecting ClearML with the current process,
     # from here on everything is logged automatically
-    task = Task.init(project_name='Monitoring', task_name='Slack Alerts', task_type=Task.TaskTypes.monitor)
+    task = Task.init(project_name='DevOps', task_name='Slack Alerts', task_type=Task.TaskTypes.monitor)
     if not args.local:
         task.execute_remotely(queue_name=args.service_queue)
         # we will not get here if we are running locally