diff --git a/example-code/sc/BufThreadDemo.scd b/example-code/sc/BufThreadDemo.scd
index 036f92b..16522b7 100644
--- a/example-code/sc/BufThreadDemo.scd
+++ b/example-code/sc/BufThreadDemo.scd
@@ -22,6 +22,7 @@ c.cancel;
 )
 ::
 strong::processBlocking::
+
 Using code::.processBlocking:: will add the process to the OCS server queue to ensure that the operations get done in order.
 code::
 
diff --git a/example-code/sc/DataSet.scd b/example-code/sc/DataSet.scd
index 0b09b43..4dc6d95 100644
--- a/example-code/sc/DataSet.scd
+++ b/example-code/sc/DataSet.scd
@@ -185,7 +185,6 @@ code::
 ~srcB = Buffer.read(s,FluidFilesPath("Harker-DS-TenOboeMultiphonics-M.wav"));
 )
 
-// use .fromBuffer to add *every* mfcc analysis to the dataset
 (
 fork{
 	var mfccs = Buffer(s);
@@ -219,7 +218,7 @@ fork{
 
 // merge dataset B into dataset A
 // because there are no overlapping identifiers,
-// nothign will be overwritten
+// nothing will be overwritten
 (
 ~dsA.merge(~dsB);
 ~dsA.print;
diff --git a/example-code/sc/Grid.scd b/example-code/sc/Grid.scd
index 5645079..6277564 100644
--- a/example-code/sc/Grid.scd
+++ b/example-code/sc/Grid.scd
@@ -195,6 +195,7 @@ FluidNormalize(s).fitTransform(~ds_gridded,~ds_gridded);
 )
 ::
 strong::With Sound::
+
 Using link::Classes/FluidUMAP:: to dimensionally reduce 13 dimensions of link::Classes/FluidBufMFCC:: analyses down to two dimensions, play with each of the plots and see which is more musically expressive. Each has it's strenghts and weaknesses!
 code::
 
diff --git a/example-code/sc/KDTree.scd b/example-code/sc/KDTree.scd
index ec25153..684222e 100644
--- a/example-code/sc/KDTree.scd
+++ b/example-code/sc/KDTree.scd
@@ -10,30 +10,29 @@ ds.dump({
 	var xybuf = Buffer.alloc(s,2);
 	var slicePoints = Buffer.read(s,FluidFilesPath("../Data/flucoma_corpus_slices.wav"));
 	var loader = FluidLoadFolder(FluidFilesPath());
-	loader.play(s,{
-		defer{
-			FluidPlotter(dict:dict,mouseMoveAction:{
-				arg view, x, y;
-				xybuf.setn(0,[x,y]);
-				tree.kNearest(xybuf,1,{
-					arg id;
-					var index = id.asInteger;
-					defer{
-						view.highlight_(id);
-					};
-
-					{
-						var start = Index.kr(slicePoints,index);
-						var end = Index.kr(slicePoints,index+1);
-						var sig = PlayBuf.ar(2,loader.buffer,BufRateScale.ir(loader.buffer),1,start)[0];
-						var dur_sec = min((end-start) / SampleRate.ir,1);
-						var env = EnvGen.kr(Env([0,1,1,0],[0.03,dur_sec-0.06,0.03]),doneAction:2);
-						sig.dup * env;
-					}.play;
-				});
+	loader.play(s);
+	defer{
+		FluidPlotter(dict:dict,mouseMoveAction:{
+			arg view, x, y;
+			xybuf.setn(0,[x,y]);
+			tree.kNearest(xybuf,1,action:{
+				arg id;
+				var index = id.asInteger;
+				defer{
+					view.highlight_(id);
+				};
+				
+				{
+					var start = Index.kr(slicePoints,index);
+					var end = Index.kr(slicePoints,index+1);
+					var sig = PlayBuf.ar(2,loader.buffer,BufRateScale.ir(loader.buffer),1,start)[0];
+					var dur_sec = min((end-start) / SampleRate.ir,1);
+					var env = EnvGen.kr(Env([0,1,1,0],[0.03,dur_sec-0.06,0.03]),doneAction:2);
+					sig.dup * env;
+				}.play;
 			});
-		};
-	});
+		});
+	};
 });
 )
 
diff --git a/example-code/sc/KMeans.scd b/example-code/sc/KMeans.scd
index 9d03c99..92204b7 100644
--- a/example-code/sc/KMeans.scd
+++ b/example-code/sc/KMeans.scd
@@ -152,6 +152,7 @@ fork{
 )
 ::
 strong::Distances::
+
 Accessing the distances to each point's mean
 code::
 
diff --git a/example-code/sc/SKMeans.scd b/example-code/sc/SKMeans.scd
index 1cb1932..770d685 100644
--- a/example-code/sc/SKMeans.scd
+++ b/example-code/sc/SKMeans.scd
@@ -155,10 +155,11 @@ code::
 
 // get the distance of our given point (b) to each cluster, thus giving us 4 dimensions in our cluster-distance space
 (
-~skmeans.encodePoint(~inbuf,~encoded);
-~encoded.getn(0,4,action:{
-	arg dists;
-	dists.postln;
+~skmeans.encodePoint(~inbuf,~encoded,action:{
+  ~encoded.getn(0,4,action:{
+      arg dists;
+      dists.postln;
+  });
 });
 )