diff --git a/ResponseGenerator.py b/ResponseGenerator.py
index 9d4cc32..3c63e5c 100644
--- a/ResponseGenerator.py
+++ b/ResponseGenerator.py
@@ -53,7 +53,16 @@ class ResponseGenerator:
             return cand.loc[0]
         else:
             return {}
-  
+    def _get_most_recent(self, rsrc):
+        cand = self.db[rsrc]
+        index = 0
+        curr = 0
+        for i, row in cand.iterrows():
+            if row['time'] > curr:
+                index = i
+                curr = row['time']
+        return cand.loc[index] 
+
     def _get_matching_topics(self, rsrc, topic):
         matches = []
         score = 0.7
@@ -104,7 +113,7 @@ class ResponseGenerator:
                     self.post = self._get_matching_authors('post_db', entity['value'], recent=True)
                     if len(self.post) > 0:
                         if len(self.post['tags']) > 0:
-                            return str("Here is the most recent post by: " + self.post['author'] + ', which is about ' + ', '.join(self.post['tags']) + self.post['content'])
+                            return str("Here is the most recent post by: " + self.post['author'] + ', which is about ' + ', '.join(self.post['tags']) + '. ' + self.post['content'])
                         else:
                             return str("Here is the most recent post by: " + self.post['author'] + ', ' + self.post['content'])
             if len(self.post) > 0:
@@ -117,7 +126,8 @@ class ResponseGenerator:
                     return "The post is about: " + answer + " \n There is a special focus on " + ', '.join(self.post['tags'])
                 else:
                     return "The post is about: " + answer
-            return "I could not find the post you are looking for."
+            self.post = self._get_most_recent('post_db')
+            return "This is the most recent post. " +  self.post['content'] + '\n If you want another post, please rewrite the query specifying either the author or the topic.'
 
         elif action == "ConvGen":
             gen_kwargs = {"length_penalty": 2.5, "num_beams":2, "max_length": 30, "repetition_penalty": 2.5, "temperature": 2}