diff --git a/main.py b/main.py
index 0524c69..fbf0708 100644
--- a/main.py
+++ b/main.py
@@ -1,10 +1,12 @@
-import os, asyncio
+import os
+import asyncio
 from langchain_openai import ChatOpenAI
 from langchain_core.messages import HumanMessage
 from langchain.tools import tool
 from deepagents import create_deep_agent
-from deepagents.backends import FilesystemBackend, LocalShellBackend, CompositeBackend
+from deepagents.backends import FilesystemBackend, CompositeBackend
 
+# LLM configuration using OpenRouter
 llm = ChatOpenAI(
     model="openai/gpt-oss-20b:free",
     base_url="https://openrouter.ai/api/v1",
@@ -12,14 +14,14 @@ llm = ChatOpenAI(
     temperature=0.0,
 )
 
+# Backend: real filesystem in current directory
 backend = CompositeBackend([
-    LocalShellBackend(workspace_dir="./workspace"),
     FilesystemBackend(),
 ])
 
 @tool
-def web_search(query: str) -> str:
-    """Search the web for information.""
+async def web_search(query: str) -> str:
+    """Search the web for information using DuckDuckGo."""
     try:
         from duckduckgo_search import DDGS
         with DDGS() as ddgs:
@@ -28,14 +30,25 @@ def web_search(query: str) -> str:
     except Exception as e:
         return f"Search error: {e}"
 
+@tool
+def write_file(path: str, content: str) -> str:
+    """Write a file to the local filesystem."""
+    try:
+        with open(path, 'w', encoding='utf-8') as f:
+            f.write(content)
+        return f"File written to {path}"
+    except Exception as e:
+        return f"Error writing file: {e}"
+
 agent = create_deep_agent(
     llm=llm,
-    tools=[web_search],
+    tools=[web_search, write_file],
     backend=backend,
-    system_prompt="You are a helpful research agent.",
+    system_prompt="You are a helpful research assistant. Your task is to search the web for information on a given topic and then create virtual files with the results. At the end of the conversation, ensure all generated files are written to disk.",
 )
 
 async def main():
+    # Example interaction: ask about Python best practices
     result = await agent.ainvoke(
         {"messages": [HumanMessage(content="Search for Python best practices and save to results.txt")]},
         {"configurable": {"thread_id": "session-1"}},
@@ -43,4 +56,4 @@ async def main():
     print(result["messages"][-1].content)
 
 if __name__ == "__main__":
-    asyncio.run(main())
\ No newline at end of file
+    asyncio.run(main())