diff --git a/GPy/examples/tutorials.py b/GPy/examples/tutorials.py
index be550e01..9d892b8e 100644
--- a/GPy/examples/tutorials.py
+++ b/GPy/examples/tutorials.py
@@ -90,7 +90,7 @@ def tuto_kernel_overview():
 
     # Sum of kernels
     k_add = k1.add(k2)
-    k_addorth = k1.add_orthogonal(k2)    
+    k_addorth = k1.add_orthogonal(k2)
 
     pb.figure(figsize=(8,8))
     pb.subplot(2,2,1)
@@ -199,3 +199,10 @@ def tuto_kernel_overview():
     WN[100] = 1.
     pb.subplot(3,4,i+1)
     pb.plot(X,WN,'b')
+
+def model_interaction():
+    X = np.random.randn(20,1)
+    Y = np.sin(X) + np.random.randn(*X.shape)*0.01 + 5.
+    k = GPy.kern.rbf(1) + GPy.kern.bias(1)
+    return GPy.models.GP_regression(X,Y,kernel=k)
+
diff --git a/doc/GPy.examples.rst b/doc/GPy.examples.rst
index ec283d21..d369de41 100644
--- a/doc/GPy.examples.rst
+++ b/doc/GPy.examples.rst
@@ -73,18 +73,10 @@ examples Package
     :undoc-members:
     :show-inheritance:
 
-:mod:`tuto_GP_regression` Module
---------------------------------
+:mod:`tutorials` Module
+-----------------------
 
-.. automodule:: GPy.examples.tuto_GP_regression
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-:mod:`tuto_kernel_overview` Module
-----------------------------------
-
-.. automodule:: GPy.examples.tuto_kernel_overview
+.. automodule:: GPy.examples.tutorials
     :members:
     :undoc-members:
     :show-inheritance:
diff --git a/doc/GPy.rst b/doc/GPy.rst
index 3fd4bcfd..242a22bc 100644
--- a/doc/GPy.rst
+++ b/doc/GPy.rst
@@ -9,6 +9,14 @@ GPy Package
     :undoc-members:
     :show-inheritance:
 
+:mod:`test_coreg` Module
+------------------------
+
+.. automodule:: GPy.test_coreg
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
 Subpackages
 -----------
 
@@ -20,5 +28,6 @@ Subpackages
     GPy.kern
     GPy.likelihoods
     GPy.models
+    GPy.testing
     GPy.util
 
diff --git a/doc/index.rst b/doc/index.rst
index b62ff6a7..5066278f 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -8,9 +8,10 @@ Welcome to GPy's documentation!
 For a quick start, you can have a look at one of the tutorials:
 
 * `Basic Gaussian process regression <tuto_GP_regression.html>`_  
+* `Interacting with models <tuto_interacting_with_models.html>`_
 * `A kernel overview <tuto_kernel_overview.html>`_ 
 * Advanced GP regression (Forthcoming)
-* Writting kernels (Forthcoming)
+* Writing kernels (Forthcoming)
 
 You may also be interested by some examples in the GPy/examples folder.