diff --git a/packages/website/docs/Guides/Language.mdx b/packages/website/docs/Guides/Language.mdx
index 3a195c1f..1bfe58e2 100644
--- a/packages/website/docs/Guides/Language.mdx
+++ b/packages/website/docs/Guides/Language.mdx
@@ -7,44 +7,47 @@ import { SquiggleEditor } from "../../src/components/SquiggleEditor";
 
 ## Expressions
 
-### Distributions
-
-<SquiggleEditor defaultCode={`mixture(1 to 2, 3, [0.3, 0.7])`} />
-
 ### Numbers
 
 <SquiggleEditor defaultCode="4.32" />
 
-### Arrays
+### Distributions
+
+<SquiggleEditor defaultCode={`a = normal(4,2)
+b = 30 to 50
+c = lognormal({mean:90, stdev: 7})
+d = mixture(a,b,c, [0.3, 0.3, .4])
+{a:a, b:b, c:c, d:d}`} />
+
+### Lists
 
 <SquiggleEditor
   defaultCode={`[beta(1,10), 4, isNormalized(SampleSet.fromDist(1 to 2))]`}
 />
 
-### Records
+<SquiggleEditor
+  defaultCode={`List.make(5,1)`}
+/>
+
+### Dictionaries
 
 <SquiggleEditor
   defaultCode={`d = {dist: triangular(0, 1, 2), weight: 0.25}
 d.dist`}
 />
 
-## Statements
-
-A statement assigns expressions to names. It looks like `<symbol> = <expression>`
-
-<SquiggleEditor
-  defaultCode={`value_of_work = 10 to 70
-5 + value_of_work / 75`}
-/>
-
 ### Functions
 
-We can define functions
+<SquiggleEditor
+  defaultCode={`f(t) = normal(t^2, t^1.2+.01)
+f`}
+/>
+
+
+### Anonymous Functions
 
 <SquiggleEditor
-  defaultCode={`ozzie_estimate(t) = lognormal(t^(1.1), 0.5)
-nuno_estimate(t, m) = mixture(normal(-5, 1), lognormal(m, t / 1.25))
-ozzie_estimate(1) * nuno_estimate(1, 1)`}
+  defaultCode={`{|t| normal(t^2, t^1.2+.01)}`}
 />
 
 ## See more
diff --git a/packages/website/docs/Introduction.md b/packages/website/docs/Introduction.md
index e04157c2..57c2ce36 100644
--- a/packages/website/docs/Introduction.md
+++ b/packages/website/docs/Introduction.md
@@ -3,7 +3,19 @@ sidebar_position: 1
 title: Introduction
 ---
 
-Squiggle is an _estimation language_, and a syntax for _calculating and expressing beliefs_ involving uncertainty. It has use cases in forecasting and writing evaluations.
+Squiggle is a simple programming language for intuitive probabilistic estimation. It's meant for quantitative forecasting and evaluations.
+
+The basics of Squiggle can be pretty simple and intuitive. The more advanced functionality can take some time to learn.
+
+## What Squiggle Is
+- A simple programming language for doing math with probability distributions
+- An embeddable language that can be used in Javascript applications
+- A tool to embed functions as forecasts that can be embedded in other applications
+
+## What Squiggle Is Not
+- A complete replacement for enterprise Risk Analysis tools (See Crystal Ball, @Risk, Lumina Analytica)
+- A Probabilistic Programming Language with backwards inference and sophisticated sampling algorithms. (See [PPLs](https://en.wikipedia.org/wiki/Probabilistic_programming))
+- A visual tool aimed at casual users (see Guesstimate, Causal)
 
 ## Get started