diff --git a/bot.py b/bot.py
index e0af859..9a0d416 100644
--- a/bot.py
+++ b/bot.py
@@ -9,6 +9,7 @@ import os
 import time
 import re
 from dotenv import load_dotenv
+import psutil
 load_dotenv()
 # download NLTK data files
 nltk.download('punkt')
@@ -71,6 +72,12 @@ async def on_ready():
     print(f"Logged in as {bot.user}")
     post_message.start()
 
+@bot.command()
+async def mem(ctx):
+    process = psutil.Process(os.getpid())
+    mem = process.memory_info().rss
+    await ctx.send(f"Total memory used: {mem / 1024 / 1024:.2f} MB")
+
 positive_keywords = ["happy", "good", "great", "amazing", "awesome", "joy", "love", "fantastic", "positive", "cheerful", "victory", "favorite", "lmao", "lol", "xd", "XD", "xD", "Xd"]
 
 positive_gifs = [
@@ -102,7 +109,7 @@ bot.help_command = None
 async def on_message(message):
     global memory, markov_model, last_random_talk_time
 
-    if message.author.id == MESSAGEAIID:
+    if message.author.bot and message.author.id != bot.user.id:
         if markov_model:
             response = None
             for _ in range(10):
@@ -111,9 +118,8 @@ async def on_message(message):
                     response = improve_sentence_coherence(response)
                     generated_sentences.add(response)
                     break
-            
+
             if response:
-                # Use message.channel.typing() instead of ctx.typing()
                 async with message.channel.typing():
                     cleaned_response = re.sub(r'[^\w\s]', '', response).lower()
                     coherent_response = rephrase_for_coherence(cleaned_response)
@@ -122,30 +128,24 @@ async def on_message(message):
                             gif_url = random.choice(positive_gifs)
                             combined_message = f"{coherent_response}\n[jif]({gif_url})"
                             await message.channel.send(combined_message)
-                            print(f"Goober: {combined_message}")
                         else:
                             await message.channel.send(coherent_response)
-                            print(f"Goober: {coherent_response}")
                     else:
                         await message.channel.send(coherent_response)
-                        print(f"Goober: {coherent_response}")
             else:
                 await message.channel.send("I have nothing to say right now!")
         else:
             await message.channel.send("I need to learn more from messages before I can talk.")
-    else:
-        return
-    
-    if message.content:
+    if message.content and message.author.id != bot.user.id :
         formatted_message = append_mentions_to_18digit_integer(message.content)
         cleaned_message = preprocess_message(formatted_message)
         if cleaned_message:
             memory.append(cleaned_message)
             save_memory(memory)
             markov_model = train_markov_model(memory)
-
-    print(f"MessageAI: {message.content}")
-    await bot.process_commands(message)
+    # Still process commands even from humans
+    if message.content and not message.author.bot:
+        await bot.process_commands(message)
 
 
 @bot.command()