diff --git a/fog/cli/cluster.py b/fog/cli/cluster.py
index a8bd09c..b75dd10 100644
--- a/fog/cli/cluster.py
+++ b/fog/cli/cluster.py
@@ -6,42 +6,90 @@
 # a CSV file.
 #
 import csv
-from collections import defaultdict
-
-from fog.cli.ui.cluster import ClusteringUI
+import re
+from collections import Counter
+from datetime import datetime
+from timeit import default_timer as timer
 
 from fog.clustering import (
     key_collision
 )
 from fog.key import fingerprint
 
-
-def fingerprint_collision(data):
-    clusters = key_collision(data, key=fingerprint)
-
-    return list(clusters)
-
-
 CLUSTERING_ROUTINES = {
     'fingerprint_collision': {
         'name': 'Fingerpint collision',
-        'fn': fingerprint_collision
+        'fn': key_collision,
+        'args': {
+            'key': fingerprint
+        }
     }
 }
 
 
+def escape_quote(string):
+    return string.replace('\'', '\\\'')
+
+
+def print_toml_report(meta, values, clusters):
+    print('[info]')
+    print('date = %s' % meta['date'].isoformat().split('.')[0])
+    print('algorithm = \'%s\'' % meta['algorithm'])
+    print()
+    print('[stats]')
+    print('lines = %i' % meta['lines'])
+    print('nb_distinct_values = %i' % len(values))
+    print('nb_clusters = %i' % len(clusters))
+    print('took = %2f' % meta['took'])
+    print()
+
+    for i, cluster in enumerate(clusters):
+        print('[[cluster]]')
+        print('id = %i' % i)
+        print('nb_values = %i' % len(cluster))
+
+        # Sorting by affected rows
+        sorted_values = sorted(cluster, key=lambda v: values[v], reverse=True)
+        max_length = len(max(cluster, key=len))
+
+        print('harmonized = \'%s\'' % escape_quote(sorted_values[0]))
+        print('values =  [')
+        for value in sorted_values:
+            print('  [\'%s\',%s %i],' % (
+                escape_quote(value),
+                ' ' * (max_length - len(value)),
+                values[value]
+            ))
+
+        print(']')
+
+        print('harmonize = false')
+
+        print()
+
+
 def cluster_action(namespace):
     routine = CLUSTERING_ROUTINES[namespace.algorithm]
 
+    lines = 0
     with open(namespace.file, 'r') as f:
         reader = csv.DictReader(f)
 
-        rows = defaultdict(list)
+        values = Counter()
 
         for line in reader:
-            rows[line[namespace.column]].append(line)
+            lines += 1
+            values[line[namespace.column]] += 1
 
-    clusters = routine['fn'](rows.keys())
+    start = timer()
+    clusters = routine['fn'](values.keys(), **routine['args'])
+    end = timer() - start
 
-    ui = ClusteringUI(rows, clusters)
-    ui.run()
+    meta = {
+        'algorithm': namespace.algorithm,
+        'took': end,
+        'date': datetime.now(),
+        'lines': lines
+    }
+
+    print_toml_report(meta, values, list(clusters))
diff --git a/fog/cli/ui/__init__.py b/fog/cli/ui/__init__.py
deleted file mode 100644
index e69de29..0000000
diff --git a/fog/cli/ui/cluster.py b/fog/cli/ui/cluster.py
deleted file mode 100644
index a95a8e8..0000000
--- a/fog/cli/ui/cluster.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# =============================================================================
-# Fog Cluster CLI Action UI
-# =============================================================================
-#
-# Urwid UI for the cluster action.
-#
-import signal
-from urwid import (
-    Columns,
-    ExitMainLoop,
-    Filler,
-    LineBox,
-    ListBox,
-    MainLoop,
-    Padding,
-    SimpleFocusListWalker,
-    Text
-)
-
-
-def exit(*args):
-        raise ExitMainLoop()
-
-
-class ClusteringUI(object):
-    def __init__(self, rows, clusters):
-
-        # Composing the UI
-        body = SimpleFocusListWalker([Text(str(cluster)) for cluster in clusters])
-        clusters_list_box = ListBox(body)
-
-        left_box = Padding(clusters_list_box, left=1, right=1)
-        right_box = Padding(Text('Some other thing'), left=1, right=1)
-
-        left_column = LineBox(left_box, title='Fog Clustering', title_align='left')
-        right_colum = LineBox(Filler(right_box, 'top'), title='Stats', title_align='left')
-
-        columns = Columns([('weight', 0.7, left_column), ('weight', 0.3, right_colum)])
-
-        # Loop
-        self.loop = MainLoop(columns, unhandled_input=self.unhandled_input)
-
-        # Handling signals
-        signal.signal(signal.SIGINT, exit)
-        signal.signal(signal.SIGTERM, exit)
-
-        # Properties
-        self.rows = rows
-        self.clusters = clusters
-        self.current_cluster = 0
-
-        # Activable components
-        self.left_box = left_box
-
-    def run(self):
-        self.loop.run()
-
-    def unhandled_input(self, key):
-        if key in ('q', 'Q', 'esc'):
-            raise ExitMainLoop()