diff --git a/examples/XOR.js b/examples/XOR.js
index 28ee77c..5d65b09 100644
--- a/examples/XOR.js
+++ b/examples/XOR.js
@@ -1,59 +1,30 @@
+/*
+ * This example trains a neural network to solve the XOR problem
+ */
+var evo = require('evo-js');
 
-var evo = require('../evo.js');
+var pool = evo.pool();
 
-var pool = evo.pool({
-	n_genes: 10, // Number of genes of each object
-	size: 400,     // Size of pool
-
-	cross_rate: 0.10,
-	mutate_rate: 0.7,
-	mutate_amount: 1.85,
-
-	ratios: {
-		top:    1.00,
-		cross:  0.33,
-		mutate: 2.00,
-		fresh:  0.20,
-		meld:   0.75,
-		random: 1.25,
-	}
-
-});
-
-pool.on ('spawn', function(genes){
+pool.on('run', 	function(genes){
+	// Create a neural network
 	var net = evo.network('feedforward', genes, {
 		output_nodes: 1,
-		hidden_nodes: 2, 
+		hidden_nodes: 2,
 		input_nodes: 2
 	});
 
-	return net;
-});
-
-// Show the average each generation
-pool.on('breed', function(){
-	// console.log(this.average);
+	// Create a score based on the networks output
+	var score = 0;
+	score += net.calc([-1, -1]) > 0 ? 1 : 0;
+	score += net.calc([ 1,  1]) > 0 ? 1 : 0;
+	score += net.calc([ 1, -1]) < 0 ? 1 : 0;
+	score += net.calc([-1,  1]) < 0 ? 1 : 0;
+	return score;
 });
 
-pool.on('run', 	function(){
-	var net = this.spawn()
-
-	// Max score is 4 if it correctly classifies all points
-	net.score += net.calc([-1, -1]) > 0 ? 1 : 0;
-	net.score += net.calc([ 1,  1]) > 0 ? 1 : 0;
-	net.score += net.calc([ 1, -1]) < 0 ? 1 : 0;
-	net.score += net.calc([-1,  1]) < 0 ? 1 : 0;
-
-	this.report(net)
-});
-
-// Run 300 generations
-// pool.run(300);
-
-
-// Run until function returns true
-pool.run(function(){
-	return this.average > 3.50
+// Run until score is 3.5 or greater
+pool.run({
+	score: 3.5
 });
 
-console.log('Took ' + pool.generation + " generations to reach a score of " + pool.average);
+console.log("Took " + pool.generation + " generations to reach a score of " + pool.average);
diff --git a/examples/letters.js b/examples/letters.js
deleted file mode 100644
index 6c411cc..0000000
--- a/examples/letters.js
+++ /dev/null
@@ -1,53 +0,0 @@
-
-var evo = require('../evo.js');
-
-var pool = evo.pool({
-	n_genes: 10, // Number of genes of each object
-	size: 400,     // Size of pool
-
-	ratios: {
-		top:    0.25,
-		cross:  0.20,
-		mutate: 0.40,
-		meld:   0.1,
-		fresh:  0.05
-	}
-
-});
-
-pool.seed = function(){
-	return evo.util.sample('abcdefghijklmnopqrstuvwxyz');
-}
-
-pool.mutate = function(genes) {
-	var g = [];
-	for (var i = 0; i < genes.length; i++) {
-		g.push(genes[i]);
-		if (Math.random() < this.config.mutate_rate){
-			return evo.util.sample('abcdefghijklmnopqrstuvwxyz');
-		}
-	}
-	return g;
-}
-
-// Show the average each generation
-pool.on('breed', function(){
-	// console.log(this.average);
-});
-
-pool.on('run', 	function(){
-	var genes = this.next();
-	var score = 0;
-
-	for (var i = 0; i < genes.length-1; i++) {
-		score += genes[i] == genes[i+1];
-	}
-
-	pool.report(genes, score);
-});
-
-// Run 300 generations
-pool.run(10);
-
-console.log('Took ' + pool.generation + " generations to reach a score of " + pool.average);
-
diff --git a/examples/metapool.js b/examples/metapool.js
deleted file mode 100644
index 3de2b87..0000000
--- a/examples/metapool.js
+++ /dev/null
@@ -1,74 +0,0 @@
-/* **********************************************
- * This example breeds a pool to achieve the best 
- * Parameters for breeding a pool on the XOR problem.
- * See XOR.js for the XOR network pool           
- *********************************************/
-
-
-var evo = require('../evo.js');
-
-var smallpool = function(g){
-	copy = g.slice(0).reverse();
-	return evo.pool({
-		n_genes: 10, // Number of genes of each object
-		size: 100,     // Size of pool
-		cross_rate: Math.abs(copy.pop())/10,
-		mutate_rate: Math.abs(copy.pop())/10,
-		mutate_amount: Math.abs(copy.pop()),
-		autospawn: true,
-		ratios: {
-			top:    Math.abs(copy.pop()),
-			cross:  Math.abs(copy.pop()),
-			mutate: Math.abs(copy.pop()),
-			fresh:  Math.abs(copy.pop()),
-			meld: Math.abs(copy.pop()),
-			random: Math.abs(copy.pop())
-		},
-		on_spawn: function(genes){
-			var net = evo.network('feedforward', genes, {
-				output_nodes: 1,
-				hidden_nodes: 2, 
-				input_nodes: 2
-			});
-			return net;
-		},
-		on_run: function(net){
-			net.score += net.calc([ 0,  0]) > 0.5 ? 1 : 0;
-			net.score += net.calc([ 1,  1]) > 0.5 ? 1 : 0;
-			net.score += net.calc([ 1,  0]) < 0.5 ? 1 : 0;
-			net.score += net.calc([ 0,  1]) < 0.5 ? 1 : 0;
-		},
-	});
-};
-
-var metapool = evo.pool({
-	n_genes: 9, // Number of genes of each object
-	size: 100,     // Size of pool
-
-	cross_rate: 0.14,
-	mutate_rate: 0.05,
-	mutate_amount: 1.0,
-	autospawn: true,
-
-	ratios: {
-		top:    0.23,
-		cross:  2.02,
-		mutate: 0.71,
-		meld:   0.75,
-		fresh:  0.18,
-		random: 0.10
-	},
-	on_spawn: function(genes) {
-		return smallpool(genes);
-	},
-	on_run: function(pool) {
-		pool.run(function(){return this.generation > 300 || this.average > 3.5});
-		pool.score = -pool.generation
-	},
-	on_breed: function(){
-		console.log("Gen "+this.generation+": "+this.average);
-	}
-
-});
-
-// metapool.run(1)
\ No newline at end of file
diff --git a/package.json b/package.json
index 5bd8bcc..63a5931 100644
--- a/package.json
+++ b/package.json
@@ -1,7 +1,7 @@
 {
   "name": "evo-js",
   "version": "0.2.1",
-  "description": "Genetic Algorithm Calculator with ANN",
+  "description": "Evolutionary Algorithm Tool wrapped with ANN",
   "main": "evo.js",
   "scripts": {
     "test": "grunt test"
@@ -33,5 +33,6 @@
     "grunt-contrib-uglify": "~0.5.0",
     "grunt-contrib-watch": "^0.6.1",
     "grunt-execute": "^0.2.2"
-  }
+  },
+  "tonicExampleFilename":"examples/XOR.js"
 }