diff --git a/docs/src/content/docs/guides/voice-agents/quickstart.mdx b/docs/src/content/docs/guides/voice-agents/quickstart.mdx
index 401b713d..0ac851c1 100644
--- a/docs/src/content/docs/guides/voice-agents/quickstart.mdx
+++ b/docs/src/content/docs/guides/voice-agents/quickstart.mdx
@@ -31,7 +31,7 @@ import thinClientExample from '../../../../../../examples/docs/voice-agents/thin
    In this quickstart we will create a voice agent you can use in the browser. If you want to check out a new project, you can try out [`Next.js`](https://nextjs.org/docs/getting-started/installation) or [`Vite`](https://vite.dev/guide/installation.html).
 
    ```bash
-   npm create vite@latest my-project --template vanilla-ts
+   npm create vite@latest my-project -- --template vanilla-ts
    ```
 
 1. **Install the Agents SDK**
@@ -47,6 +47,7 @@ import thinClientExample from '../../../../../../examples/docs/voice-agents/thin
    As this application will run in the user's browser, we need a secure way to connect to the model through the Realtime API. For this we can use an [ephemeral client key](https://platform.openai.com/docs/guides/realtime#creating-an-ephemeral-token) that should be generated on your backend server. For testing purposes you can also generate a key using `curl` and your regular OpenAI API key.
 
    ```bash
+   export OPENAI_API_KEY="sk-proj-...(your own key here)"
    curl -X POST https://api.openai.com/v1/realtime/client_secrets \
       -H "Authorization: Bearer $OPENAI_API_KEY" \
       -H "Content-Type: application/json" \
@@ -58,7 +59,7 @@ import thinClientExample from '../../../../../../examples/docs/voice-agents/thin
       }'
    ```
 
-   The response will contain a `client_secret.value` value that you can use to connect later on. Note that this key is only valid for a short period of time and will need to be regenerated.
+   The response will contain a "value" string a the top level, which starts with "ek\_" prefix. You can use this ephemeral key to establish a WebRTC connection later on. Note that this key is only valid for a short period of time and will need to be regenerated.
 
 3. **Create your first Agent**
 
@@ -92,7 +93,7 @@ import thinClientExample from '../../../../../../examples/docs/voice-agents/thin
    To connect to the session you need to pass the client ephemeral token you generated earlier on.
 
    ```typescript
-   await session.connect({ apiKey: '<client-api-key>' });
+   await session.connect({ apiKey: 'ek_...(put your own key here)' });
    ```
 
    This will connect to the Realtime API using WebRTC in the browser and automatically configure your microphone and speaker for audio input and output. If you are running your `RealtimeSession` on a backend server (like Node.js) the SDK will automatically use WebSocket as a connection. You can learn more about the different transport layers in the [Realtime Transport Layer](/openai-agents-js/guides/voice-agents/transport) guide.
diff --git a/examples/docs/voice-agents/helloWorld.ts b/examples/docs/voice-agents/helloWorld.ts
index 1c3cb139..148037f0 100644
--- a/examples/docs/voice-agents/helloWorld.ts
+++ b/examples/docs/voice-agents/helloWorld.ts
@@ -1,14 +1,23 @@
 import { RealtimeAgent, RealtimeSession } from '@openai/agents/realtime';
 
-const agent = new RealtimeAgent({
-  name: 'Assistant',
-  instructions: 'You are a helpful assistant.',
-});
+export async function setupCounter(element: HTMLButtonElement) {
+  // ....
+  // for quickly start, you can append the following code to the auto-generated TS code
 
-const session = new RealtimeSession(agent);
-
-// Automatically connects your microphone and audio output
-// in the browser via WebRTC.
-await session.connect({
-  apiKey: '<client-api-key>',
-});
+  const agent = new RealtimeAgent({
+    name: 'Assistant',
+    instructions: 'You are a helpful assistant.',
+  });
+  const session = new RealtimeSession(agent);
+  // Automatically connects your microphone and audio output in the browser via WebRTC.
+  try {
+    await session.connect({
+      // To get this ephemeral key string, you can run the following command or implement the equivalent on the server side:
+      // curl -s -X POST https://api.openai.com/v1/realtime/client_secrets -H "Authorization: Bearer $OPENAI_API_KEY" -H "Content-Type: application/json" -d '{"session": {"type": "realtime", "model": "gpt-realtime"}}' | jq .value
+      apiKey: 'ek_...(put your own key here)',
+    });
+    console.log('You are connected!');
+  } catch (e) {
+    console.error(e);
+  }
+}