diff --git a/README.md b/README.md
index f662bfa..b3c4898 100644
--- a/README.md
+++ b/README.md
@@ -73,6 +73,13 @@ echo "history: " & $history
 
 For the content pulled by "import knights", see https://github.com/JohnAD/negamax/blob/master/examples/knights.nim
 
+# Videos
+
+The following two videos (to be watched in sequence), demonstrate how to use this library and the 'turn_based_game' library:
+
+* Using "turn_based_game": https://www.youtube.com/watch?v=u6w8vT-oBjE
+* Using "negamax": https://www.youtube.com/watch?v=op4Mcgszshk
+
 # Credit
 
 The code for this engine mimics that written in Python at the EasyAI library located at <https://github.com/Zulko/easyAI>. That library contains both the game rule engine (called TwoPlayerGame) as well as a variety of AI algorithms to play as game players, such as Negamax.
diff --git a/negamax.nimble b/negamax.nimble
index 3d55e52..e21e202 100644
--- a/negamax.nimble
+++ b/negamax.nimble
@@ -1,6 +1,6 @@
 # Package
 
-version       = "0.0.1"
+version       = "0.0.2"
 author        = "John Dupuy"
 description   = "Negamax AI algorithm for turn based games"
 license       = "MIT"
diff --git a/src/negamax.nim b/src/negamax.nim
index eedd383..071d514 100644
--- a/src/negamax.nim
+++ b/src/negamax.nim
@@ -104,10 +104,14 @@ type
   NegamaxPlayer* = ref object of Player
     depth*: int
 
+
 #
 method get_move*(self: NegamaxPlayer, game: Game): string = 
   var new_game: Game
-  deepCopy(new_game, game)
+  when defined(js):
+    new_game = game
+  else:
+    deepCopy(new_game, game)
   var choice = negamax(new_game, self.depth)
   return choice