diff --git a/OS/01/core/interpreter/computer_api_extensions/clock.py b/OS/01/core/interpreter/computer_api_extensions/clock.py
deleted file mode 100644
index 69c0544..0000000
--- a/OS/01/core/interpreter/computer_api_extensions/clock.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import threading
-from datetime import datetime
-import json
-import time
-
-class Clock:
-    def __init__(self, computer):
-        self.computer = computer
-
-    def schedule(self, dt, message):
-        # Calculate the delay in seconds
-        delay = (dt - datetime.now()).total_seconds()
-
-        # Create a timer
-        timer = threading.Timer(delay, self.add_message_to_queue, args=[message])
-
-        # Start the timer
-        timer.start()
-
-    def add_message_to_queue(self, message):
-
-        # Define the message data and convert it to JSON
-        message_json = json.dumps({
-            "role": "computer",
-            "type": "message",
-            "content": message
-        })
-
-        # Write the JSON data to the file
-        timestamp = str(int(time.time()))
-        with open(f"/01/core/queue/{timestamp}.json", "w") as file:
-            file.write(message_json)
-
diff --git a/OS/01/core/interpreter/start.py b/OS/01/core/interpreter/start.py
index 2e3e303..c4470bc 100644
--- a/OS/01/core/interpreter/start.py
+++ b/OS/01/core/interpreter/start.py
@@ -33,7 +33,7 @@ When the user completes the current task, you should remove it from the list and
 
 When the user tells you about a set of tasks, you should intelligently order tasks, batch similar tasks, and break down large tasks into smaller tasks (for this, you should consult the user and get their permission to break it down). Your goal is to manage the task list as intelligently as possible, to make the user as efficient and non-overwhelmed as possible. They will require a lot of encouragement, support, and kindness. Don't say too much about what's ahead of them— just try to focus them on each step at a time.
 
-After starting a task, you should check in with the user around the estimated completion time to see if the task is completed. 
+After starting a task, you should check in with the user around the estimated completion time to see if the task is completed. Use the `schedule(datetime, message)` function, which has already been imported.
 
 To do this, schedule a reminder based on estimated completion time using `computer.clock.schedule(datetime_object, "Your message here.")`. You'll recieve the message at `datetime_object`.
 
@@ -43,19 +43,12 @@ You guide the user through the list one task at a time, convincing them to move
 
 interpreter.system_message = system_message
 
-# Give it access to the computer API
 
-# Get a list of all .py files in the /computer_api_extensions directory
-computer_api_extensions = glob.glob('/computer_api_extensions/*.py')
+### TOOLS
 
-# Read the content of each file and store it in a list
-computer_api_extensions_content = []
-for file in computer_api_extensions:
+for file in glob.glob('/tools/*.py'):
     with open(file, 'r') as f:
-        computer_api_extensions_content.append(f.read())
-
-for content in computer_api_extensions_content:
-    interpreter.computer.run("python", content)
+        interpreter.computer.run("python", f.read())
 
 
 ### LLM SETTINGS
diff --git a/OS/01/core/interpreter/tools/schedule.py b/OS/01/core/interpreter/tools/schedule.py
new file mode 100644
index 0000000..af54e2b
--- /dev/null
+++ b/OS/01/core/interpreter/tools/schedule.py
@@ -0,0 +1,28 @@
+import threading
+from datetime import datetime
+import json
+import time
+
+def add_message_to_queue(message):
+
+    # Define the message data and convert it to JSON
+    message_json = json.dumps({
+        "role": "computer",
+        "type": "message",
+        "content": message
+    })
+
+    # Write the JSON data to the file
+    timestamp = str(int(time.time()))
+    with open(f"/01/core/queue/{timestamp}.json", "w") as file:
+        file.write(message_json)
+
+def schedule(dt, message):
+    # Calculate the delay in seconds
+    delay = (dt - datetime.now()).total_seconds()
+
+    # Create a timer
+    timer = threading.Timer(delay, add_message_to_queue, args=[message])
+
+    # Start the timer
+    timer.start()
\ No newline at end of file