diff --git a/swarms/models/supervision.py b/swarms/models/supervision.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/swarms/structs/concurrent_workflow.py b/swarms/structs/concurrent_workflow.py
index e3f64c9a..31e1200d 100644
--- a/swarms/structs/concurrent_workflow.py
+++ b/swarms/structs/concurrent_workflow.py
@@ -43,7 +43,7 @@ class ConcurrentWorkflow(BaseStructure):
     return_results: bool = False
     use_processes: bool = False
 
-    def add(self, task: Task, tasks: List[Task] = None):
+    def add(self, task: Task = None):
         """Adds a task to the workflow.
 
         Args:
@@ -51,11 +51,7 @@ class ConcurrentWorkflow(BaseStructure):
             tasks (List[Task]): _description_
         """
         try:
-            if tasks:
-                for task in tasks:
-                    self.tasks.append(task)
-            else:
-                self.tasks.append(task)
+            self.tasks.append(task)
         except Exception as error:
             print(f"[ERROR][ConcurrentWorkflow] {error}")
             raise error
diff --git a/swarms/structs/conversation.py b/swarms/structs/conversation.py
index 8368cd52..71923cef 100644
--- a/swarms/structs/conversation.py
+++ b/swarms/structs/conversation.py
@@ -1,3 +1,4 @@
+import os
 import datetime
 import json
 
@@ -70,8 +71,8 @@ class Conversation(BaseStructure):
         self,
         time_enabled: bool = False,
         database: AbstractDatabase = None,
-        autosave: bool = True,
-        save_filepath: str = "runs/conversation.json",
+        autosave: bool = None,
+        save_filepath: str = None,
         *args,
         **kwargs,
     ):
@@ -228,6 +229,9 @@ class Conversation(BaseStructure):
         Args:
             filename (str): Save the conversation history as a JSON file
         """
+        # Create the directory if it does not exist
+        os.makedirs(os.path.dirname(filename), exist_ok=True)
+
         # Save the conversation history as a JSON file
         with open(filename, "w") as f:
             json.dump(self.conversation_history, f)
diff --git a/swarms/structs/swarming_architectures.py b/swarms/structs/swarming_architectures.py
index 0ea84fb4..a6ccdf9b 100644
--- a/swarms/structs/swarming_architectures.py
+++ b/swarms/structs/swarming_architectures.py
@@ -112,50 +112,50 @@ def power_swarm(agents: List[str], tasks: List[str]):
 
 def log_swarm(agents: List[Agent], tasks: List[str]):
     for i in range(len(agents)):
-        if 2 ** i < len(agents) and tasks:
+        if 2**i < len(agents) and tasks:
             task = tasks.pop(0)
-            agents[2 ** i].run(task)
-            
+            agents[2**i].run(task)
+
 
 def exponential_swarm(agents: List[Agent], tasks: List[str]):
     for i in range(len(agents)):
-        index = min(
-            int(2 ** i),
-            len(agents)-1
-        )
+        index = min(int(2**i), len(agents) - 1)
         if tasks:
             task = tasks.pop(0)
             agents[index].run(task)
-            
+
+
 def geometric_swarm(agents, tasks):
     ratio = 2
     for i in range(range(len(agents))):
-        index = min(int(ratio ** 2), len(agents)-1)
+        index = min(int(ratio**2), len(agents) - 1)
         if tasks:
             task = tasks.pop(0)
             agents[index].run(task)
-            
-            
+
+
 def harmonic_swarm(agents: List[Agent], tasks: List[str]):
     for i in range(1, len(agents) + 1):
-        index = min(int(len(agents)/i), len(agents) -1)
+        index = min(int(len(agents) / i), len(agents) - 1)
         if tasks:
             task = tasks.pop(0)
             agents[index].run(task)
-            
+
+
 def staircase_swarm(agents: List[Agent], task: str):
     step = len(agents) // 5
     for i in range(len(agents)):
         index = (i // step) * step
         agents[index].run(task)
-        
+
 
 def sigmoid_swarm(agents: List[Agent], task: str):
     for i in range(len(agents)):
         index = int(len(agents) / (1 + math.exp(-i)))
         agents[index].run(task)
-        
+
+
 def sinusoidal_swarm(agents: List[Agent], task: str):
     for i in range(len(agents)):
         index = int((math.sin(i) + 1) / 2 * len(agents))
-        agents[index].run(task)
\ No newline at end of file
+        agents[index].run(task)