diff --git a/docs/examples.md b/docs/examples.md
index 7f6f66f..3f373c4 100644
--- a/docs/examples.md
+++ b/docs/examples.md
@@ -140,7 +140,7 @@ Summary:
 ## Use a LLM to generate a text while rendering a prompt
 
 Sometimes it might be useful to ask another LLM to generate examples for you in a
-few-shot prompt. Provided you have a valid OpenAI API key stored in an env var
+few-shots prompt. Provided you have a valid OpenAI API key stored in an env var
 called `OPENAI_API_KEY` you can ask Banks to do something like this (note we can
 annotate the prompt using comments - anything within `{# ... #}` will be removed
 from the final prompt):
@@ -150,16 +150,17 @@ from banks import Prompt
 
 
 prompt_template = """
-Generate a tweet about the topic {{ topic }} with a positive sentiment.
+{% set examples %}
+{% completion model="gpt-3.5-turbo-0125" %}
+  {% chat role="system" %}You are a helpful assistant{% endchat %}
+  {% chat role="user" %}Generate a bullet list of 3 tweets with a positive sentiment.{% endchat %}
+{% endcompletion %}
+{% endset %}
 
-{#
-    This is for illustration purposes only, there are better and cheaper ways
-    to generate examples for a few-shots prompt.
-#}
+{# output the response content #}
+Generate a tweet about the topic {{ topic }} with a positive sentiment.
 Examples:
-{% for number in range(3) %}
-- {% generate "write a tweet with positive sentiment" "gpt-3.5-turbo" %}
-{% endfor %}
+{{ examples }}
 """
 
 p = Prompt(prompt_template)
@@ -169,24 +170,14 @@ print(p.text({"topic": "climate change"}))
 The output would be something similar to the following:
 ```txt
 Generate a tweet about the topic climate change with a positive sentiment.
-
-
 Examples:
-
-- "Feeling grateful for the amazing capabilities of #GPT3.5Turbo! It's making my work so much easier and efficient. Thank you, technology!" #positivity #innovation
-
-- "Feeling grateful for all the opportunities that come my way! With #GPT3.5Turbo, I am able to accomplish tasks faster and more efficiently. #positivity #productivity"
-
-- "Feeling grateful for all the wonderful opportunities and experiences that life has to offer! #positivity #gratitude #blessed #gpt3.5turbo"
-```
-
-If you paste Banks' output into ChatGPT you would get something like this:
-```txt
-Climate change is a pressing global issue, but together we can create positive change! Let's embrace renewable energy, protect our planet, and build a sustainable future for generations to come. 🌍💚 #ClimateAction #PositiveFuture
+- "Feeling grateful for the sunshine today! 🌞 #thankful #blessed"
+- "Just had a great workout and feeling so energized! 💪 #fitness #healthyliving"
+- "Spent the day with loved ones and my heart is so full. 💕 #familytime #grateful"
 ```
 
 > [!IMPORTANT]
-> The `generate` extension uses [LiteLLM](https://github.com/BerriAI/litellm) under the hood, and provided you have the
+> The `completion` extension uses [LiteLLM](https://github.com/BerriAI/litellm) under the hood, and provided you have the
 > proper environment variables set, you can use any model from the supported [model providers](https://docs.litellm.ai/docs/providers).
 
 > [!NOTE]