diff --git a/naive-nlu/depth_meter.py b/naive-nlu/depth_meter.py
index 7d8bb61..db1dab9 100644
--- a/naive-nlu/depth_meter.py
+++ b/naive-nlu/depth_meter.py
@@ -1,11 +1,10 @@
 import sys
+import parameters
 
-def show_depth(depth: int):
-    multiplier = 3
-    max_depth = 5
-    offset = int((max_depth - depth) / (2 / multiplier))
+def show_depth(depth: int, zoom: int=2):
+    offset = int((parameters.MAX_RECURSIONS - depth) / (2 / zoom))
 
-    depth = depth * multiplier
+    depth = depth * zoom
     offset -= int(depth % 2)
     sys.stdout.write("\r|\x1b[K" + (u'█' * int(depth / 2)) + (u'▌' * int(depth % 2)) + ' ' * offset + "|\x1b[7m \x1b[0m\b")
 
diff --git a/naive-nlu/parameters.py b/naive-nlu/parameters.py
new file mode 100644
index 0000000..0a845fc
--- /dev/null
+++ b/naive-nlu/parameters.py
@@ -0,0 +1 @@
+MAX_RECURSIONS = 5
diff --git a/naive-nlu/parsing.py b/naive-nlu/parsing.py
index 353cabb..4044c9a 100644
--- a/naive-nlu/parsing.py
+++ b/naive-nlu/parsing.py
@@ -10,8 +10,7 @@ import copy
 from functools import reduce
 from typing import List
 from modifiable_property import ModifiableProperty
-
-MAX_RECURSIONS = 5
+import parameters
 
 # TODO: more flexible tokenization
 def to_tokens(text):
@@ -326,7 +325,7 @@ def fitting_return_type(knowledge,
                         input_stream,
                         tail_of_ouput_stream,
                         remaining_recursions: int):
-    indent = "  " + "  " * (MAX_RECURSIONS - remaining_recursions)
+    indent = "  " + "  " * (parameters.MAX_RECURSIONS - remaining_recursions)
 
     for sample, ast in knowledge.trained:
         try:
@@ -396,11 +395,11 @@ def match_token(knowledge,
     if remaining_recursions < 1:
         yield None
 
-    # logging.debug("#" * (MAX_RECURSIONS - remaining_recursions))
+    # logging.debug("#" * (parameters.MAX_RECURSIONS - remaining_recursions))
     # logging.debug("Input:", input)
     # logging.debug("Output:", trained)
-    depth_meter.show_depth(MAX_RECURSIONS - remaining_recursions)
-    indent = " " + "  " * (MAX_RECURSIONS - remaining_recursions)
+    depth_meter.show_depth(parameters.MAX_RECURSIONS - remaining_recursions)
+    indent = " " + "  " * (parameters.MAX_RECURSIONS - remaining_recursions)
     first_input = input[0]
     expected_first = trained[0]
     logging.debug(indent + "Ex?", expected_first)
@@ -426,7 +425,7 @@ def match_token(knowledge,
 
 
 def get_fit_onwards(knowledge, ast, remaining_input, remaining_output, remaining_recursions):
-    indent = "." + "  " * (MAX_RECURSIONS - remaining_recursions)
+    indent = "." + "  " * (parameters.MAX_RECURSIONS - remaining_recursions)
     try:
         # TODO: merge with get_return type, as uses the same mechanism
         if len(remaining_output) > 0:
@@ -465,9 +464,9 @@ def get_fit_onwards(knowledge, ast, remaining_input, remaining_output, remaining
     return None
 
 
-def get_fit(knowledge, row, remaining_recursions=MAX_RECURSIONS):
+def get_fit(knowledge, row, remaining_recursions=parameters.MAX_RECURSIONS):
     tokens = to_tokens(row)
-    indent = "  " * (MAX_RECURSIONS - remaining_recursions)
+    indent = "  " * (parameters.MAX_RECURSIONS - remaining_recursions)
     for sample, ast in knowledge.trained:
         logging.debug("-----")
         logging.debug("TOK:", tokens)