diff --git a/README.md b/README.md
index 27e1eeaf..0eed7cba 100644
--- a/README.md
+++ b/README.md
@@ -35,6 +35,8 @@ This will automatically install the PRAS Julia module and all of its
 related dependencies. At this point you can hit Backspace to switch back to the
 main `julia>` prompt.
 
+# Basic usage
+
 With PRAS installed, you can load it into Julia as follows:
 
 ```Julia
@@ -45,5 +47,17 @@ This will make the core PRAS functions (most importantly, the `SystemModel`
 and `assess` functions) available for use in your Julia script or
 interactive REPL session.
 
+The following snippet shows expected unserved energy (EUE) assessment for the [RTS-GMLC](https://github.com/GridMod/RTS-GMLC) system, which is packaged with PRAS. 
+
+```Julia
+rts_gmlc_sys = PRAS.rts_gmlc();
+shortfall, = assess(rts_gmlc_sys,
+                    SequentialMonteCarlo(samples=10,seed=1),
+                    Shortfall()
+                    );
+println("Total system $(EUE(shortfall))")
+# Total system EUE = 0.00000 MWh/8784h
+```
+
 The [Getting Started](docs/getting-started.md) document provides more information
 on using PRAS.
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