diff --git a/docs/async.md b/docs/async.md
index 28abf98..599a4f1 100644
--- a/docs/async.md
+++ b/docs/async.md
@@ -1,18 +1,60 @@
 ## Async support
 
-To run banks within an `asyncio` loop you have to do two things:
+Banks provides async support thanks to the underlying machinery [provided by Jinja](https://jinja.palletsprojects.com/en/3.0.x/api/#async-support)
 
-    1. set the environment variable `BANKS_ASYNC_ENABLED=true`.
-    2. use the `AsyncPrompt` class that has an awaitable `run` method.
+Since the Jinja environment is a global state in banks, the library can work either with or
+without async support, and this must be known before importing anything.
+
+If the application using banks runs within an `asyncio` loop, you can do two things
+to optimize banks' execution:
+
+1. Set the environment variable `BANKS_ASYNC_ENABLED=true`.
+2. Use the `AsyncPrompt` class that has an awaitable `run` method.
+
+For example, let's render a prompt that contains some calls to the `generate` extension. Those calls
+will be heavily I/O bound, so other tasks can take advantage and advance while the prompt is being
+rendered.
 
 Example:
 ```python
+# Enable async support before importing from banks
+import os
+
+os.environ["BANKS_ASYNC_ENABLED"] = "true"
+
+# Show logs to see what's happening at runtime
+import logging
+
+logging.basicConfig(level=logging.INFO)
+
+import asyncio
 from banks import AsyncPrompt
 
+prompt_template = """
+Generate a tweet about the topic '{{ topic }}' with a positive sentiment.
+
+Examples:
+- {% generate "write a tweet with a positive sentiment", "gpt-3.5-turbo" %}
+- {% generate "write a tweet with a sad sentiment", "gpt-3.5-turbo" %}
+- {% generate "write a tweet with a neutral sentiment", "gpt-3.5-turbo" %}
+
+"""
+
+
+async def task(task_id: int, sleep_time: int):
+    logging.info(f"Task {task_id} is running.")
+    await asyncio.sleep(sleep_time)
+    logging.info(f"Task {task_id} done.")
+
+
 async def main():
-    p = AsyncPrompt.from_template("blog.jinja")
-    result = await p.text({"topic": "AI frameworks"})
-    print(result)
+    p = AsyncPrompt(prompt_template)
+    # Schedule the prompt rendering along with two executions of 'task', one sleeping for 10 seconds
+    # and one sleeping for 1 second
+    results = await asyncio.gather(p.text({"topic": "AI frameworks"}), task(1, 10), task(2, 1))
+    print("All tasks done, rendered prompt:")
+    print(results[0])
+
 
 asyncio.run(main())
 ```
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