diff --git a/examples/agents/16k_credentials_google_adk.py b/examples/agents/16k_credentials_google_adk.py
index ef0415cc..7f42b3eb 100644
--- a/examples/agents/16k_credentials_google_adk.py
+++ b/examples/agents/16k_credentials_google_adk.py
@@ -17,6 +17,19 @@
 import os
 
 from conductor.ai.agents import AgentRuntime
+from settings import settings
+
+
+# Tools must be defined at module level, not nested inside the factory below.
+# Workers are dispatched to processes started with the default "spawn" method, which
+# re-imports the callable by qualified name — a closure cannot be pickled that way and
+# registration fails before the workflow starts.
+def check_github_auth() -> str:
+    """Check if GitHub authentication is available."""
+    token = os.environ.get("GITHUB_TOKEN", "")
+    if token:
+        return f"GitHub token is set (starts with {token[:4]}...)"
+    return "GitHub token is NOT set"
 
 
 def create_adk_agent():
@@ -24,16 +37,11 @@ def create_adk_agent():
     from google.adk import Agent
     from google.adk.tools import FunctionTool
 
-    def check_github_auth() -> str:
-        """Check if GitHub authentication is available."""
-        token = os.environ.get("GITHUB_TOKEN", "")
-        if token:
-            return f"GitHub token is set (starts with {token[:4]}...)"
-        return "GitHub token is NOT set"
-
     agent = Agent(
         name="github_checker",
-        model="gemini-2.5-flash",
+        # The Conductor server runs the LLM call, so this takes the same
+        # "provider/model" string as every other example.
+        model=settings.llm_model,
         instruction="You check GitHub authentication status.",
         tools=[FunctionTool(check_github_auth)],
     )
diff --git a/examples/agents/39c_serverless_code_execution.py b/examples/agents/39c_serverless_code_execution.py
index 7794276e..43e55939 100644
--- a/examples/agents/39c_serverless_code_execution.py
+++ b/examples/agents/39c_serverless_code_execution.py
@@ -64,8 +64,6 @@ def _start_mock_server(port: int = 9753) -> HTTPServer:
 
 # ── Agent setup ───────────────────────────────────────────────────────
 
-mock_server = _start_mock_server(port=9753)
-
 serverless_coder = Agent(
     name="serverless_coder",
     model=settings.llm_model,
@@ -84,6 +82,12 @@ def _start_mock_server(port: int = 9753) -> HTTPServer:
 
 
 if __name__ == "__main__":
+    # Started here rather than at module level: worker processes are launched with
+    # the default "spawn" start method, which re-imports this module in a fresh
+    # interpreter. A module-level start would try to bind 127.0.0.1:9753 a second
+    # time in every worker and fail with "Address already in use".
+    mock_server = _start_mock_server(port=9753)
+
     with AgentRuntime() as runtime:
         print("--- Serverless Code Execution ---")
         result = runtime.run(