diff --git a/README.md b/README.md
index 0eb6285..43a340e 100644
--- a/README.md
+++ b/README.md
@@ -21,25 +21,26 @@ class DownloadExample(Coordinator):
 	def name(cls):
 		return "DownloadExample"
 
+	@property
+	def input(self):
+		return RssInput(f"http://www.obsrv.com/General/ImageFeed.aspx?{self.query}",
+		                lambda x: FileData(x.title, x["media_content"][0]["url"], False))
+
 	@property
 	def pipeline(self) -> List[Union[Pipe, Callable[[APData], Union[APData, Pipe]]]]:
 		return [Output(DownloaderPipe())]
 
-	def get_input(self):
-		return RssInput(f"http://www.obsrv.com/General/ImageFeed.aspx?{self.query}",
-		                lambda x: FileData(x.title, x["media:content"], True))
-
-
 ```
 
 ### For this coordinator to be found by autopipe, you must use one of the three following way
  1) Place your coordinator file into the `autopipe/coordinators` folders, import your coordinator in the `autopipe/coordinators/__init__.py` file and place your coordinator name in the `__all__` array of this file.
  2) Run autopipe with the coordinator argument set to the path of your file followed by ':' and the coordinator's class name. For example if your coordinator's file is named `coordinator.py`, is located in the current directory and your coordinator's name is `DownloadExample`, your coordinator argument would be `../coordinator.py:DownloadExample`
- 3) Send your coordinator file to the standard input of autopipe and use `-` as your coordinator name. **SOON**
+ 3) Send your coordinator file to the standard input of autopipe and use `-` as your coordinator name. *SOON*
 
-### To run this, you have two ways
+### To run this, you have three ways
  1) Use the autopipe file in the bin folder like so: ``./autopipe <coordinator> [coordinator_parameters]``
  2) Use the module syntaxe like so: ``python -m autopipe <coordinator> [coordinator_parameters]``
+ 3) Use the shebang ``#!/usr/bin/env autopipe -``, set your coordinator file executable (``chmod +x file.py``) and execute it. *SOON*
 
 ## Coordinators options
 A pipeline always start with an `Input`. You specify the instance of thte input manager you will use in the `get_input()` method.