diff --git a/docs/getting-started/quickstart.mdx b/docs/getting-started/quickstart.mdx
index 360daf4..b492e8e 100644
--- a/docs/getting-started/quickstart.mdx
+++ b/docs/getting-started/quickstart.mdx
@@ -9,32 +9,36 @@ import TabItem from '@theme/TabItem';
 
 [platform_url]: https://console.mistral.ai/
 
-
 :::tip[ ]
 Looking for La Plateforme? Head to [console.mistral.ai][platform_url]
 :::
 
-## Account setup
-
-- To get started, create a Mistral account or sign in at [console.mistral.ai][platform_url].
-- Then, navigate to "Workspace" and "Billing" to add your payment information and activate payments on your account. 
-- After that, go to the "API keys" page and make a new API key by clicking "Create new key". 
-Make sure to copy the API key, save it safely, and do not share it with anyone.
+## Getting started with the Mistral AI API
 
-## Getting started with Mistral AI API
+The Mistral AI API provides a seamless way for you to integrate Mistral's
+state-of-the-art models into your applications and production workflows with
+just a few lines of code.
 
 <a target="_blank" href="https://colab.research.google.com/github/mistralai/cookbook/blob/main/quickstart.ipynb">
   <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
 </a>
 
-Mistral AI API provides a seamless way for developers to integrate Mistral's state-of-the-art 
-models into their applications and production workflows with just a few lines of code. 
-Our API is currently available through [La Plateforme][platform_url]. 
-You need to activate payments on your account to enable your API keys.
+### Get an API key
+
+1. Go to [console.mistral.ai][platform_url] and sign in or create an account.
+2. In the **Billing** section of the left menu, click **Workspace**.
+3. Click **Go to to the billing plans page**, then select a plan.
+4. In the **API** section of the left menu, click **API Keys**.
+5. Click **Create new key**, then click **Create key** to confirm.
+6. Click **Copy**. Save the API key securely, and do not share it with anyone.
+
+### Try the Chat Completion API
+
 After a few moments, you will be able to use our `chat` endpoint:
 
 <Tabs>
   <TabItem value="python" label="python" default>
+
 ```python
 import os
 from mistralai import Mistral
@@ -59,6 +63,7 @@ print(chat_response.choices[0].message.content)
   </TabItem>
 
   <TabItem value="typescript" label="typescript">
+
 ```typescript
 import { Mistral } from '@mistralai/mistralai';
 
@@ -73,9 +78,11 @@ const chatResponse = await client.chat.complete({
 
 console.log('Chat:', chatResponse.choices[0].message.content);
 ```
+
   </TabItem>
 
   <TabItem value="curl" label="curl">
+  
 ```bash
 curl --location "https://api.mistral.ai/v1/chat/completions" \
      --header 'Content-Type: application/json' \
@@ -86,16 +93,20 @@ curl --location "https://api.mistral.ai/v1/chat/completions" \
     "messages": [{"role": "user", "content": "Who is the most renowned French painter?"}]
   }'
 ```
+
   </TabItem>
 </Tabs>
 
-To generate text embeddings using Mistral AI's embeddings API, we can make a request to the API 
-endpoint and specify the embedding model `mistral-embed`, along with providing a list of input texts. 
-The API will then return the corresponding embeddings as numerical vectors, which can be used for
-further analysis or processing in NLP applications.
+### Try the Embeddings API
+
+To generate text embeddings, you can make a request that specifies the model
+`mistral-embed` and includes a list of input texts.
+The API returns the corresponding embeddings as numerical vectors, which you can
+use for further analysis or processing in NLP applications.
 
 <Tabs>
   <TabItem value="python" label="python" default>
+  
 ```python
 import os
 from mistralai import Mistral
@@ -116,6 +127,7 @@ print(embeddings_response)
   </TabItem>
 
   <TabItem value="typescript" label="typescript">
+  
 ```typescript
 import { Mistral } from '@mistralai/mistralai';
 
@@ -130,9 +142,11 @@ const embeddingsResponse = await client.embeddings.create({
 
 console.log(embeddingsResponse);
 ```
+
   </TabItem>
 
   <TabItem value="curl" label="curl">
+  
 ```bash
 curl --location "https://api.mistral.ai/v1/embeddings" \
      --header 'Content-Type: application/json' \
@@ -143,10 +157,9 @@ curl --location "https://api.mistral.ai/v1/embeddings" \
     "input": ["Embed this sentence.", "As well as this one."]
   }'
 ```
+
   </TabItem>
 </Tabs>
 
-
-
-For a full description of the models offered on the API, head on to the **[model documentation](../models/models_overview)**.
-
+For a full description of the models offered by the API, see the
+**[Models Overview](../models/models_overview)**.