diff --git a/agents/core-logic/deploy_agent.py b/agents/core-logic/deploy_agent.py
index 013e9c1..9ceb465 100644
--- a/agents/core-logic/deploy_agent.py
+++ b/agents/core-logic/deploy_agent.py
@@ -1,38 +1,50 @@
 #!/usr/bin/env python3
 """
-deploy_agent.py — Deploy ADK agent to Gemini Enterprise Agent Platform (Agent Runtime)
-Usage: python3 deploy_agent.py --project PROJECT_ID --region REGION \
-         --display-name DISPLAY_NAME --staging-bucket GS_URI
+deploy_agent.py — Deploy ADK agent til Vertex AI Agent Engine
+Usage: python3 deploy_agent.py [--project PROJECT_ID] [--region REGION] \
+         [--display-name DISPLAY_NAME] [--staging-bucket GS_URI]
+
+Krever: google-cloud-aiplatform>=1.157.0, google-adk>=2.0.0
 """
 
 import argparse
+import sys
 import vertexai
-from vertexai.preview import agent_engines  # SDK v1.112.0+ client-based design
+from vertexai import agent_engines  # riktig import for SDK >= 1.157.0
 
 
 def deploy(project: str, region: str, display_name: str, staging_bucket: str):
+    print(f"Initialiserer Vertex AI: project={project}, region={region}")
     vertexai.init(project=project, location=region, staging_bucket=staging_bucket)
 
-    from agents.core_logic import agent as my_agent  # adjust import path
+    # Importer Jason ADK agent
+    sys.path.insert(0, ".")
+    import agent as my_agent
 
-    print(f"Deploying agent '{display_name}' to Agent Runtime in {region}...")
+    print(f"Deployer agent '{display_name}' til Vertex AI Agent Engine i {region}...")
     remote_agent = agent_engines.create(
         my_agent.root_agent,
-        requirements=["google-cloud-aiplatform[adk,agent_engines]>=1.112.0"],
+        requirements=[
+            "google-cloud-aiplatform[adk,agent_engines]>=1.157.0",
+            "google-adk>=2.2.0",
+            "httpx>=0.27.0",
+            "google-auth>=2.29.0",
+        ],
         display_name=display_name,
     )
-    print(f"Agent deployed. Resource name: {remote_agent.resource_name}")
-    print(f"Console: https://console.cloud.google.com/ai/agents?project={project}")
-    print("REMINDER: Run 03-teardown.sh at end of day to stop billing.")
+    print(f"\n✅ Agent deployet!")
+    print(f"   Resource name : {remote_agent.resource_name}")
+    print(f"   Console       : https://console.cloud.google.com/ai/agents?project={project}")
+    print(f"   Region        : {region}")
+    print("\n⚠️  Husk: kjør teardown når du er ferdig for å unngå unnødige kostnader.")
     return remote_agent
 
 
 if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
+    parser = argparse.ArgumentParser(description="Deploy Jason ADK agent til Vertex AI")
     parser.add_argument("--project", default="propane-will-491900-m5")
     parser.add_argument("--region", default="us-central1")
-    parser.add_argument("--display-name", default="oavauco-agent-v1")
-    parser.add_argument("--staging-bucket",
-                        default="gs://propane-will-491900-m5-agent-staging")
+    parser.add_argument("--display-name", default="jason-vauger-v1")
+    parser.add_argument("--staging-bucket", default="gs://propane-will-491900-m5-agent-staging")
     args = parser.parse_args()
     deploy(args.project, args.region, args.display_name, args.staging_bucket)