diff --git a/README.rst b/README.rst
index 552c76a..a99ba8f 100644
--- a/README.rst
+++ b/README.rst
@@ -2,31 +2,3 @@ Beef and Dairy Network Unofficial Skill
 =============================
 
 The number one Alexa skill for those involved or just interested in the production of beef animals and dairy herds.
-
-Setup
------
-
-It is recommended to run this project in a virtualenv. If virtualenvs are unfamiliar to you, `this handy tutorial`_
-might be a good place to start.
-
-#.  Create a virtualenv for this project, and activate it.
-#.  Use ``pip install -r requirements.txt`` to install the required Python packages.
-#.  You will require ``ngrok`` to make your skill accessible to Alexa for testing. You can download ngrok `here`_.
-
-.. _here: https://ngrok.com/download
-.. _this handy tutorial: http://docs.python-guide.org/en/latest/dev/virtualenvs/
-
-Quickstart
-----------
-
-Follow these easy steps to test your brand new Flask-Ask project.
-
-#. Launch the server by invoking ``python beef_and_dairy_skill.py``.
-#. With the server running, start ``ngrok http 5000``.
-#. Configure your app on the `Alexa Developer Portal`_. `This video`_ by `John Wheeler`_ shows how to deploy your speech assets configuration to the `Alexa Developer Portal`_.
-#. That's all! If you are using a browser that supports WebRTC for micophone input (Chrome, Firefox or Opera), you may use `echosim`_ to test your script - simply log in with the same credentials you used to deploy your Skill.
-
-.. _Alexa Developer Portal: https://developer.amazon.com/alexa
-.. _This video: https://alexatutorial.com
-.. _John Wheeler: https://alexatutorial.com/flask-ask/
-.. _echosim: http://www.echosim.io/