diff --git a/examples/automation/manual_random_param_search_example.py b/examples/automation/manual_random_param_search_example.py
index 0bb0cb67..f444edb9 100644
--- a/examples/automation/manual_random_param_search_example.py
+++ b/examples/automation/manual_random_param_search_example.py
@@ -3,7 +3,7 @@ from random import sample
 from trains import Task
 
 # Connecting TRAINS
-task = Task.init(project_name='examples', task_name='Random Hyper-Parameter Search Example')
+task = Task.init(project_name='examples', task_name='Random Hyper-Parameter Search Example', task_type=Task.TaskTypes.optimizer)
 
 # Create a hyper-parameter dictionary for the task
 params = dict()
diff --git a/examples/automation/task_piping_example.py b/examples/automation/task_piping_example.py
index a9c99cc4..96acc86e 100644
--- a/examples/automation/task_piping_example.py
+++ b/examples/automation/task_piping_example.py
@@ -2,7 +2,7 @@ from trains import Task
 from time import sleep
 
 # Initialize the Task Pipe's first Task used to start the Task Pipe
-task = Task.init('examples', 'Simple Controller Task')
+task = Task.init('examples', 'Simple Controller Task', task_type=Task.TaskTypes.controller)
 
 # Create a hyper-parameter dictionary for the task
 param = dict()
diff --git a/examples/services/jupyter-service/execute_jupyter_notebook_server.py b/examples/services/jupyter-service/execute_jupyter_notebook_server.py
index 5fa7092b..46625a8b 100644
--- a/examples/services/jupyter-service/execute_jupyter_notebook_server.py
+++ b/examples/services/jupyter-service/execute_jupyter_notebook_server.py
@@ -14,7 +14,7 @@ from trains import Task
 os.environ["TRAINS_DOCKER_IMAGE"] = "nvidia/cuda --network host"
 
 # initialize TRAINS
-task = Task.init(project_name="examples", task_name="Remote Jupyter NoteBook")
+task = Task.init(project_name="examples", task_name="Remote Jupyter NoteBook", task_type=Task.TaskTypes.service)
 
 # get rid of all the runtime TRAINS
 preserve = (