diff --git a/README.md b/README.md
index bb9df123ea..7b5251b890 100644
--- a/README.md
+++ b/README.md
@@ -27,7 +27,9 @@ Keras and fast.ai are too abstract for researchers. Lightning abstracts the full
 
 
 ## Why do I want to use lightning?
-Because you want to use best practices and get gpu training, multi-node training, checkpointing, mixed-precision, etc... for free, but still want granular control of the meat of the training, validation and testing loops.
+Because you don't want to define a training loop, validation loop, gradient clipping, checkpointing, loading, 
+gpu training, etc... every time you start a project. Let lightning handle all of that for you and you just define your 
+data and what happens in the training, testing and validation loop 
 
 To use lightning do 2 things:  
 1. [Define a Trainer](https://github.com/williamFalcon/pytorch-lightning/blob/master/examples/new_project_templates/trainer_cpu_template.py).