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diff --git a/tee/README.md b/tee/README.md
index 6b3ebe13..1a9b51c4 100644
--- a/tee/README.md
+++ b/tee/README.md
@@ -1,7 +1,73 @@
-## To run project in Phala TEE
+# Running Swarms Agent in Phala TEE
 
-1. Build the docker image and publish it to the docker hub
-    `docker compose build -t <your-dockerhub-username>/swarm-agent-node:latest`
-    `docker push <your-dockerhub-username>/swarm-agent-node:latest`
-2. Deploy to Phala cloud using [tee-cloud-cli](https://github.com/Phala-Network/tee-cloud-cli) or manually with the [Cloud dashboard](https://cloud.phala.network/).
-3. Check your agent's TEE proof and verify it on the [TEE Attestation Explorer](https://proof.t16z.com/).
+Welcome! This guide will walk you through running your Swarms Agent in a Trusted Execution Environment (TEE) using Phala Cloud. This setup ensures your agent runs in a secure, isolated environment.
+
+## Prerequisites
+
+- A Swarms Agent code repository (or docker image)
+- A Phala Cloud account
+- An OpenAI API key
+
+## Step-by-Step Guide
+
+### 1. Configure Your Environment
+
+First, prepare your `docker-compose.yaml` file. You can find an example in [docker-compose.yaml](./docker-compose.yaml). Make sure to have your OpenAI API key ready.
+
+```yaml
+services:
+  swarms-agent-server:
+    image: python:3.12-slim
+    volumes:
+      - swarms:/app
+    restart: always
+    environment:
+      - OPENAI_API_KEY=${OPENAI_API_KEY}
+    command: # Run swarms agent example
+      - /bin/sh
+      - -c
+      - |
+        # install dependencies
+        apt update && apt install -y git python3-pip
+        mkdir -p /app && cd /app
+
+        git clone --depth 1 https://github.com/The-Swarm-Corporation/swarms-examples
+        cd swarms-examples/
+        pip install -r requirements.txt && pip install langchain-community langchain-core
+        cd examples/agents/
+        python o1_preview.py
+
+        # keep container running
+        sleep infinity
+
+volumes:
+  swarms:
+```
+
+### 2. Deploy Your Agent
+
+1. Navigate to the [Phala Cloud dashboard](https://cloud.phala.network/dashboard)
+2. Create a new Swarms agent application
+   ![Creating a Swarms agent on Phala Cloud](./01_create_agent_on_phala_cloud.png)
+
+### 3. Monitor Your Deployment
+
+1. Check the initialization logs of your agent
+   ![Agent initialization logs](./02_serial_logs.png)
+   ![Detailed initialization logs](./03_serial_logs.png)
+
+2. Verify your container is running
+   ![Swarms Agent Container Status](./04_swarms_agent_containers.png)
+
+3. Monitor your agent's output
+   ![Swarms Agent Logs](./05_agent_output.png)
+
+### 4. Verify TEE Attestation
+
+Ensure your agent is running in a secure TEE environment by checking the attestation proof on the [TEE Attestation Explorer](https://proof.t16z.com/).
+
+![TEE Attestation Verification](./06_attestation.png)
+
+## Success!
+
+You've successfully deployed your Swarms Agent in a secure TEE environment using Phala Cloud. Your agent is now running in an isolated, trusted execution environment, ensuring enhanced security for your AI operations.
diff --git a/tee/docker-compose.yaml b/tee/docker-compose.yaml
index 7fd3207f..1e1f3709 100644
--- a/tee/docker-compose.yaml
+++ b/tee/docker-compose.yaml
@@ -1,19 +1,27 @@
 services:
   swarms-agent-server:
-    image: swarms-agent-node:latest
-    platform: linux/amd64
+    image: python:3.12-slim
     volumes:
-      - /var/run/tappd.sock:/var/run/tappd.sock
       - swarms:/app
     restart: always
-    ports:
-      - 8000:8000
-    command: # Sample MCP Server
+    environment:
+      - OPENAI_API_KEY=${OPENAI_API_KEY}
+    command: # Run swarms agent example
       - /bin/sh
       - -c
       - |
-        cd /app/mcp_example
-        python mcp_test.py
+        # install dependencies
+        apt update && apt install -y git python3-pip
+        mkdir -p /app && cd /app
+
+        git clone --depth 1 https://github.com/The-Swarm-Corporation/swarms-examples
+        cd swarms-examples/
+        pip install -r requirements.txt && pip install langchain-community langchain-core
+        cd examples/agents/
+        python o1_preview.py
+
+        # keep container running
+        sleep infinity
 
 volumes:
   swarms: