diff --git a/bot.py b/bot.py
index a91f75d..960c0e2 100755
--- a/bot.py
+++ b/bot.py
@@ -37,7 +37,7 @@ class Oven(pydle.Client):
   async def on_message(self, chan, source, msg):
     if source != self.nickname:
       if msg == '!botlist':
-        await self.message(chan, 'dah helooooooo i am kim jong un, pingus me to have a nice conversation')
+        await self.message(chan, 'dah helooooooo i am kim jong un, pingus me to have a nice conversation with llckthecheese')
       for i in self.raw:
         await self.raw[i](self, chan,source,msg)
       if msg[:len(self.prefix)] == self.prefix:
diff --git a/modules/__pycache__/nlp.cpython-36.pyc b/modules/__pycache__/nlp.cpython-36.pyc
new file mode 100644
index 0000000..cad3594
Binary files /dev/null and b/modules/__pycache__/nlp.cpython-36.pyc differ
diff --git a/modules/nlp.py b/modules/nlp.py
index fcf3262..4d0a691 100644
--- a/modules/nlp.py
+++ b/modules/nlp.py
@@ -2,11 +2,54 @@
 import dataset
 import random
 
+async def rec(self, m):
+  prew = self.db['prew']
+  noch = self.db['noun']
+  beg = self.db['beg']
+  end = self.db['end']
+  pre = ''
+  words = m.split(' ')
+  for w in words:
+    if pre == '':
+      beg.insert(dict(word=w))
+    else:
+      prew.insert(dict(pre=pre, pro=w))
+    pre = w
+    noch.insert(dict(word=w))
+  end.insert(dict(word=pre))
+  
+async def getNoun(self, words):
+  nouns = [i['word'] for i in self.db['noun'].find()]
+  out = {}
+  for i in words:
+    out[i] = nouns.count(i)
+  return min(out, key=out.get)
+  
+async def genOut(self, noun):
+  prew = self.db['prew']
+  beg = [ i['word'] for i in self.db['beg'].find() ]
+  end = [ i['word'] for i in self.db['end'].find() ]
+  iter=0
+  out = [noun]
+  while out[0] not in beg and iter < 7:
+    out = [ random.choice(list(prew.find(pro=out[0])))['pre'] ] + out
+    iter += 1
+  iter = 0
+  while out[-1] not in end and iter < 7:
+    out.append(random.choice(list(prew.find(pre=out[-1])))['pro'])
+    iter += 1
+  return out
 
 
-
-
+async def filter(self, c, n, m):
+  if m[:5] == 'kim: ':
+    m = m[5:]
+    await rec(self, m)
+    words = m.split(' ')
+    await self.message(c, ' '.join(await genOut(self, await getNoun(self, words))))
 
 async def init(self):
   self.db = dataset.connect('sqlite:///database.db')
 
+  self.raw['nlp'] = filter
+