diff --git a/examples/tutorials/tuto_plot_gallery_fusion_machines.py b/examples/tutorials/tuto_plot_gallery_fusion_machines.py
index 20fbfab7b..2ecb2261a 100644
--- a/examples/tutorials/tuto_plot_gallery_fusion_machines.py
+++ b/examples/tutorials/tuto_plot_gallery_fusion_machines.py
@@ -15,25 +15,25 @@
 # `tofu` provides a geometry helper function that allows creating a
 # configuration with a single call.
 #
-# Calling with empty arguments results in a default configuration. At the time
-# of writing, this is ITER.
-# By printing the `config` object, a text representation of its components is
-# printed. This allows inspecting
-# component names, number of sections, color or visibility.
+# Some configurations are pre-defined, for example ITER's configuration.
+#
+# By printing the `config` object created, a text representation of its
+# components is printed. This allows inspecting the component names, number
+# of sections, color or visibility.
 
-config = tf.geom.utils.create_config()  # create default configuration
+config = tf.geom.utils.create_config("ITER")  # create ITER configuration
 print(config)
 
 ###############################################################################
 # To get a list of all available built-in configs, one has to know some details
 # about `tofu`. Configurations can be accessed by names (ITER, WEST, JET, etc).
 
-print(tf.geom.utils._DCONFIG_TABLE.keys())
+print(tf.geom.utils.get_available_config())
 
 ###############################################################################
 # With that being said, let's create a gallery of the "top 3" fusion machines
 # provided by `tofu` to accelerate diagnostic development.
 
-for fusion_machine in ['ITER', 'WEST', 'JET', 'NSTX']:
+for fusion_machine in ['ITER', 'WEST', 'JET', 'NSTX', 'AUG']:
     config = tf.geom.utils.create_config(fusion_machine)
     config.plot()