diff --git a/README.md b/README.md
index 9e22fc9..b653350 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ This example implements the end-to-end [MLOps process](https://services.google.c
 3. Open the JupyterLab then open a new Terminal
 4. Clone the repository to your AI Notebook instance:
     ```
-    git clone https://github.com/GoogleCloudPlatform/mlops-with-vertex-ai.git
+    git clone [https://github.com/GoogleCloudPlatform/mlops-with-vertex-ai.git](https://github.com/catwang42/mlops-with-vertex-ai.git)
     cd mlops-with-vertex-ai
     ```
 5. Install the required Python packages:
diff --git a/provision/README.md b/provision/README.md
index e3da742..43a65bf 100644
--- a/provision/README.md
+++ b/provision/README.md
@@ -40,7 +40,7 @@ To provision the environment:
 
 2. Download the installation scripts
     ```
-    SRC_REPO=https://github.com/GoogleCloudPlatform/mlops-with-vertex-ai.git
+    SRC_REPO=https://github.com/catwang42/mlops-with-vertex-ai.git
     LOCAL_DIR=provision
     kpt pkg get $SRC_REPO/provision@main $LOCAL_DIR
     cd $LOCAL_DIR/terraform
diff --git a/provision/terraform/terraform.tfvars b/provision/terraform/terraform.tfvars
index 2d312a5..21f24bf 100644
--- a/provision/terraform/terraform.tfvars
+++ b/provision/terraform/terraform.tfvars
@@ -1,11 +1,10 @@
-project_id = "vertex-mlops"
+project_id = "vertex-mlops-22-cat"
 subnet_region = "us-central1"
 zone = "us-central1-a"
-name_prefix = "vertex-mlops"
+name_prefix = "cw-mlops"
 machine_type = "n1-standard-8"
 #gpu_type = "NVIDIA_TESLA_T4"
 #gpu_count = 1
 #install_gpu_driver = true
 #image_family = "common-gpu"
 
-