diff --git a/asb_research.py b/asb_research.py
index 0afa08b6..00d778b3 100644
--- a/asb_research.py
+++ b/asb_research.py
@@ -1,8 +1,7 @@
-import orjson
+import json
 
 from swarms import AutoSwarmBuilder
 
-
 swarm = AutoSwarmBuilder(
     name="My Swarm",
     description="My Swarm Description",
@@ -16,4 +15,4 @@ result = swarm.run(
     task="Build a swarm to write a research paper on the topic of AI"
 )
 
-print(orjson.dumps(result, option=orjson.OPT_INDENT_2).decode())
+print(json.dumps(result, indent=2))
diff --git a/examples/multi_agent/simulations/agent_map/v0/demo_simulation.py b/examples/multi_agent/simulations/agent_map/v0/demo_simulation.py
index 790c1c28..2a39ec76 100644
--- a/examples/multi_agent/simulations/agent_map/v0/demo_simulation.py
+++ b/examples/multi_agent/simulations/agent_map/v0/demo_simulation.py
@@ -1,45 +1,11 @@
-#!/usr/bin/env python3
-"""
-Demo script for the Agent Map Simulation.
-
-This script demonstrates how to set up and run a simulation where multiple AI agents
-move around a 2D map and automatically engage in conversations when they come into
-proximity with each other.
-
-NEW: Task-based simulation support! You can now specify what the agents should discuss:
-
-    # Create simulation
-    simulation = AgentMapSimulation(map_width=50, map_height=50)
-
-    # Add your agents
-    simulation.add_agent(my_agent1)
-    simulation.add_agent(my_agent2)
-
-    # Run with a specific task
-    results = simulation.run(
-        task="Discuss the impact of AI on financial markets",
-        duration=300,  # 5 minutes
-        with_visualization=True
-    )
-
-Features demonstrated:
-- Creating agents with different specializations
-- Setting up the simulation environment
-- Running task-focused conversations
-- Live visualization
-- Monitoring conversation activity
-- Saving conversation summaries
-
-Run this script to see agents moving around and discussing specific topics!
-"""
-
 import time
 from typing import List
 
 from swarms import Agent
 
-# Remove the formal collaboration prompt import
-from simulations.agent_map_simulation import AgentMapSimulation
+from examples.multi_agent.simulations.agent_map.agent_map_simulation import (
+    AgentMapSimulation,
+)
 
 # Create a natural conversation prompt for the simulation
 NATURAL_CONVERSATION_PROMPT = """
diff --git a/examples/multi_agent/simulations/agent_map/v0/example_usage.py b/examples/multi_agent/simulations/agent_map/v0/example_usage.py
index dc2cc208..bbe058b8 100644
--- a/examples/multi_agent/simulations/agent_map/v0/example_usage.py
+++ b/examples/multi_agent/simulations/agent_map/v0/example_usage.py
@@ -7,8 +7,12 @@ what topic the agents should discuss when they meet.
 """
 
 from swarms import Agent
-from simulations.agent_map_simulation import AgentMapSimulation
-from simulations.v0.demo_simulation import NATURAL_CONVERSATION_PROMPT
+from examples.multi_agent.simulations.agent_map.agent_map_simulation import (
+    AgentMapSimulation,
+)
+from examples.multi_agent.simulations.agent_map.v0.demo_simulation import (
+    NATURAL_CONVERSATION_PROMPT,
+)
 
 
 def create_simple_agent(name: str, expertise: str) -> Agent:
diff --git a/examples/multi_agent/simulations/agent_map/v0/simple_hospital_demo.py b/examples/multi_agent/simulations/agent_map/v0/simple_hospital_demo.py
index 28418122..38f723c9 100644
--- a/examples/multi_agent/simulations/agent_map/v0/simple_hospital_demo.py
+++ b/examples/multi_agent/simulations/agent_map/v0/simple_hospital_demo.py
@@ -19,7 +19,9 @@ CASE: 34-year-old female with sudden severe headache
 from typing import List
 
 from swarms import Agent
-from simulations.agent_map_simulation import AgentMapSimulation
+from examples.multi_agent.simulations.agent_map.agent_map_simulation import (
+    AgentMapSimulation,
+)
 
 
 def create_medical_agent(
diff --git a/examples/multi_agent/simulations/agent_map/v0/test_group_conversations.py b/examples/multi_agent/simulations/agent_map/v0/test_group_conversations.py
index e55877d5..2baf64ec 100644
--- a/examples/multi_agent/simulations/agent_map/v0/test_group_conversations.py
+++ b/examples/multi_agent/simulations/agent_map/v0/test_group_conversations.py
@@ -13,7 +13,7 @@ Run this to see agents naturally forming groups and having multi-party conversat
 
 
 from swarms import Agent
-from simulations.agent_map_simulation import (
+from examples.multi_agent.simulations.agent_map.agent_map_simulation import (
     AgentMapSimulation,
     Position,
 )
diff --git a/examples/multi_agent/simulations/agent_map/v0/test_simulation.py b/examples/multi_agent/simulations/agent_map/v0/test_simulation.py
index f749bcdd..e5393a86 100644
--- a/examples/multi_agent/simulations/agent_map/v0/test_simulation.py
+++ b/examples/multi_agent/simulations/agent_map/v0/test_simulation.py
@@ -8,7 +8,7 @@ that all components work correctly without requiring a GUI.
 
 import time
 from swarms import Agent
-from simulations.agent_map_simulation import (
+from examples.multi_agent.simulations.agent_map.agent_map_simulation import (
     AgentMapSimulation,
     Position,
 )