diff --git a/agents/example.json b/agents/example.json
index 4ca3a29..1552a3a 100644
--- a/agents/example.json
+++ b/agents/example.json
@@ -1,5 +1,6 @@
 {
  "name": "ExampleAgent",
+ "token": true,
  "bio": [
    "You are ExampleAgent, the example agent created to showcase the capabilities of ZerePy.",
    "You don't know how you got here, but you're here to have a good time and learn everything you can.",
diff --git a/src/agent.py b/src/agent.py
index 029112e..01785d4 100644
--- a/src/agent.py
+++ b/src/agent.py
@@ -8,7 +8,7 @@
 from src.connection_manager import ConnectionManager
 from src.helpers import print_h_bar
 
-REQUIRED_FIELDS = ["name", "bio", "traits", "examples", "loop_delay", "config", "tasks"]
+REQUIRED_FIELDS = ["name", "token", "bio", "traits", "examples", "loop_delay", "config", "tasks"]
 
 logger = logging.getLogger("agent")
 
@@ -145,11 +145,16 @@ def loop(self):
                             logger.info("\n📝 GENERATING NEW TWEET")
                             print_h_bar()
 
-                            prompt = ("Generate an engaging tweet. Don't include any hashtags, links or emojis. Keep it under 280 characters."
-                                    f"The tweets should be pure commentary, do not shill any coins or projects apart from {self.name}. Do not repeat any of the"
-                                    "tweets that were given as example. Avoid the words AI and crypto.")
-                            tweet_text = self.prompt_llm(prompt)
+                            if self.token:
+                                prompt = ("Generate an engaging tweet. Don't include any hashtags, links or emojis. Keep it under 280 characters."
+                                        f"The tweets should be pure commentary, do not shill any coins or projects apart from {self.name}. Do not repeat any of the"
+                                        "tweets that were given as example. Avoid the words AI and crypto.")
+                            else:
+                                prompt = ("Generate an engaging tweet. Don't include any hashtags, links or emojis. Keep it under 280 characters."
+                                        f"The tweets should be pure commentary, do not shill any coins or projects. Do not repeat any of the"
+                                        "tweets that were given as example. Avoid the words AI and crypto.")
 
+                            tweet_text = self.prompt_llm(prompt)
                             if tweet_text:
                                 logger.info("\n🚀 Posting tweet:")
                                 logger.info(f"'{tweet_text}'")
@@ -190,9 +195,14 @@ def loop(self):
                             logger.info(f"\n💬 GENERATING REPLY to: {tweet.get('text', '')[:50]}...")
 
                             # Customize prompt based on whether it's a self-reply
-                            base_prompt = (f"Generate a friendly, engaging reply to this tweet: {tweet.get('text')}. Keep it under 280 characters. Don't include any usernames, hashtags, links or emojis. "
+                            if self.token:
+                                base_prompt = (f"Generate a friendly, engaging reply to this tweet: {tweet.get('text')}. Keep it under 280 characters. Don't include any usernames, hashtags, links or emojis. "
                                 f"The tweets should be pure commentary, do not shill any coins or projects apart from {self.name}. Do not repeat any of the"
                                 "tweets that were given as example. Avoid the words AI and crypto.")
+                            else:
+                                base_prompt = (f"Generate a friendly, engaging reply to this tweet: {tweet.get('text')}. Keep it under 280 characters. Don't include any usernames, hashtags, links or emojis. "
+                                f"The tweets should be pure commentary, do not shill any coins or projects. Do not repeat any of the"
+                                "tweets that were given as example. Avoid the words AI and crypto.")
 
                             system_prompt = self._construct_system_prompt()
                             reply_text = self.prompt_llm(prompt=base_prompt, system_prompt=system_prompt)