diff --git a/README.md b/README.md
index 30806a6322..507b1597c1 100644
--- a/README.md
+++ b/README.md
@@ -38,9 +38,12 @@ pip install pytorch-lightning
 [Copy and run this COLAB!](https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=HOk9c4_35FKg)
 
 ## What is it?  
-Lightning is a very lightweight wrapper on PyTorch that decouples the science code from the engineering code.   
+Lightning is a very lightweight wrapper on PyTorch that decouples the science code from the engineering code. It's more of a style-guide than a framework which automates the engineering code.  
 
-This means you don't have to learn a new library. To use Lightning, simply refactor your research code into the [LightningModule](https://github.com/williamFalcon/pytorch-lightning#how-do-i-do-use-it) format (the science) and Lightning will automate the rest (the engineering). Lightning guarantees tested, correct, modern best practices for the automated parts.
+To use Lightning, simply refactor your research code into the [LightningModule](https://github.com/williamFalcon/pytorch-lightning#how-do-i-do-use-it) format (the science) and Lightning will automate the rest (the engineering). Lightning guarantees tested, correct, modern best practices for the automated parts.
+
+- If you are a researcher, Lightning is infinitely flexible, you can modify everything down to the way .backward is called or distributed is set up. 
+- If you are a scientist or production team, lightning is very simple to use with best practice defaults.
 
 ## What does lightning control for me?