diff --git a/README.md b/README.md
index c70a3be9..b7ff2f53 100644
--- a/README.md
+++ b/README.md
@@ -58,9 +58,12 @@ Don't worry about training on multiple gpus or speeding up your code, lightning
 
 ---   
 ## How do I do use it?   
+The research code goes into a [LightningModule]((https://williamfalcon.github.io/pytorch-lightning/LightningModule/RequiredTrainerInterface/)) which you fit using a Trainer.    
+
+Think of the LightningModule as a *system* such as seq-2-seq, GAN, etc... However, the LightningModule can ALSO just be a simple classifier such as the example below.     
 
 To use lightning do 2 things:  
-1. [Define a LightningModel](https://williamfalcon.github.io/pytorch-lightning/LightningModule/RequiredTrainerInterface/)         
+1. [Define a LightningModule](https://williamfalcon.github.io/pytorch-lightning/LightningModule/RequiredTrainerInterface/)         
 ```python
 import os
 import torch
@@ -71,10 +74,10 @@ import torchvision.transforms as transforms
 
 import pytorch_lightning as pl
 
-class CoolModel(pl.LightningModule):
+class CoolSystem(pl.LightningModule):
 
     def __init__(self):
-        super(CoolModel, self).__init__()
+        super(CoolSystem, self).__init__()
         # not the best model...
         self.l1 = torch.nn.Linear(28 * 28, 10)
 
@@ -122,7 +125,7 @@ class CoolModel(pl.LightningModule):
 ```python
 from pytorch_lightning import Trainer
 
-model = CoolModel()
+model = CoolSystem()
 
 # most basic trainer, uses good defaults
 trainer = Trainer()