update README

README.md

@@ -102,3 +102,13 @@ You can deploy agents on your varying compute resources as long as it has access
         }
 - deploy agent and let it listen to a queue (for example: test). The following code also creates that queue and service mode makes sure that the agent can run multiple different jobs (needed for pipelines) 
   - clearml-agent daemon --services-mode --queue test --create-queue
+
+  ## example workflow
+
+  - Run stage_one.py
+    - You are able to change arguments inside the script
+  - Run stage_two.py
+    - You are able to change arguments inside the script
+  - This will create drafts of the scripts in the Clearml workspace
+  - Now run controller.py to create and run a pipeline that uses the drafts
+    - You can change the pipe.start command at the end to use remote agents

controller.py

@@ -40,6 +40,7 @@ pipe.add_step(name='stage_train',
 
 # Starting the pipeline
 pipe.start_locally(run_pipeline_steps_locally=True)
+# comment line above and uncomment line below to run scrips on queue test on which agents are listening
 #pipe.start(queue='test')
 
 print('done')