diff --git a/config.json b/config.json
index 82aa6c8..3dc8259 100644
--- a/config.json
+++ b/config.json
@@ -8,5 +8,12 @@
     "api_keys": {
         "shodan": "YOUR_SHODAN_API_KEY",
         "nmap": "YOUR_NMAP_API_KEY"
+    },
+    "chatbox": {
+        "enabled": true,
+        "scan_targets": true,
+        "modify_exploits": true,
+        "deploy_exploits": true,
+        "post_exploitation_modules": true
     }
 }
diff --git a/src/ai_model.py b/src/ai_model.py
index a8fcd87..7030e27 100644
--- a/src/ai_model.py
+++ b/src/ai_model.py
@@ -1,10 +1,15 @@
 import numpy as np
 import tensorflow as tf
 from tensorflow.keras.models import load_model
+import logging
 
 class AIDeploymentModel:
     def __init__(self, model_path):
         self.model = load_model(model_path)
+        self.setup_logging()
+
+    def setup_logging(self):
+        logging.basicConfig(filename='logs/ai_model.log', level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 
     def preprocess_input(self, input_data):
         # Implement preprocessing logic here
@@ -13,13 +18,39 @@ def preprocess_input(self, input_data):
     def predict(self, input_data):
         preprocessed_data = self.preprocess_input(input_data)
         predictions = self.model.predict(preprocessed_data)
+        logging.info(f"Predictions: {predictions}")
         return predictions
 
     def deploy_exploit(self, target_info):
         predictions = self.predict(target_info)
         # Implement logic to deploy exploits based on predictions
+        logging.info(f"Deploying exploit with predictions: {predictions}")
         return predictions
 
+    def scan_targets(self):
+        # Implement logic to scan targets
+        logging.info("Scanning targets...")
+        # Placeholder for scanning logic
+        targets = ["target1", "target2", "target3"]
+        logging.info(f"Targets found: {targets}")
+        return targets
+
+    def modify_exploits(self, target_info):
+        # Implement logic to modify exploits based on target information
+        logging.info(f"Modifying exploits for target: {target_info}")
+        # Placeholder for modification logic
+        modified_exploits = ["exploit1", "exploit2", "exploit3"]
+        logging.info(f"Modified exploits: {modified_exploits}")
+        return modified_exploits
+
+    def test_predictions(self, labeled_data):
+        # Implement logic to test predictions for accuracy
+        logging.info("Testing predictions for accuracy...")
+        # Placeholder for testing logic
+        accuracy = 0.95
+        logging.info(f"Prediction accuracy: {accuracy}")
+        return accuracy
+
 if __name__ == "__main__":
     model_path = "path/to/pretrained/model.h5"
     ai_model = AIDeploymentModel(model_path)
diff --git a/src/gui.py b/src/gui.py
index 69caf95..971869a 100644
--- a/src/gui.py
+++ b/src/gui.py
@@ -252,6 +252,26 @@ def spoof_email(self, email_address, subject, message):
         # Implement email spoofing logic here
         pass
 
+    def prompt_ai_scan_targets(self):
+        self.chatbot_text.insert(tk.END, "Prompting AI to scan targets...\n")
+        self.ai_model.scan_targets()
+        self.chatbot_text.insert(tk.END, "AI scan targets completed.\n")
+
+    def prompt_ai_modify_exploits(self, target_info):
+        self.chatbot_text.insert(tk.END, "Prompting AI to modify exploits...\n")
+        self.ai_model.modify_exploits(target_info)
+        self.chatbot_text.insert(tk.END, "AI modify exploits completed.\n")
+
+    def prompt_ai_deploy_exploits(self, target_info):
+        self.chatbot_text.insert(tk.END, "Prompting AI to deploy exploits...\n")
+        self.ai_model.deploy_exploit(target_info)
+        self.chatbot_text.insert(tk.END, "AI deploy exploits completed.\n")
+
+    def prompt_ai_post_exploitation(self, module_name):
+        self.chatbot_text.insert(tk.END, "Prompting AI to run post-exploitation module...\n")
+        self.run_post_exploitation_module(module_name)
+        self.chatbot_text.insert(tk.END, "AI post-exploitation module completed.\n")
+
 if __name__ == "__main__":
     root = tk.Tk()
     app = C2Dashboard(root)
diff --git a/src/session_management.py b/src/session_management.py
index bbb05e7..2d34aa4 100644
--- a/src/session_management.py
+++ b/src/session_management.py
@@ -1,6 +1,7 @@
 import time
 import json
 import threading
+import logging
 
 class SessionManager:
     def __init__(self, config_file='config.json'):
@@ -8,6 +9,7 @@ def __init__(self, config_file='config.json'):
         self.load_config()
         self.sessions = {}
         self.lock = threading.Lock()
+        self.setup_logging()
 
     def load_config(self):
         try:
@@ -23,11 +25,13 @@ def save_config(self):
     def start_session(self, user_id):
         with self.lock:
             self.sessions[user_id] = time.time()
+            logging.info(f"Session started for user {user_id}")
 
     def end_session(self, user_id):
         with self.lock:
             if user_id in self.sessions:
                 del self.sessions[user_id]
+                logging.info(f"Session ended for user {user_id}")
 
     def check_session_timeout(self):
         while True:
@@ -37,12 +41,15 @@ def check_session_timeout(self):
                 for user_id, start_time in list(self.sessions.items()):
                     if current_time - start_time > timeout:
                         self.end_session(user_id)
-                        print(f"Session for user {user_id} has timed out.")
+                        logging.info(f"Session for user {user_id} has timed out.")
             time.sleep(60)
 
     def run(self):
         threading.Thread(target=self.check_session_timeout, daemon=True).start()
 
+    def setup_logging(self):
+        logging.basicConfig(filename='logs/session_management.log', level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
 if __name__ == "__main__":
     session_manager = SessionManager()
     session_manager.run()