Updates

Author: kodster28

src/content/docs/workers-ai/features/batch-api/batch-api-rest-api.mdx

@@ -15,14 +15,22 @@ Batch processing is useful for large workloads such as summarization or embeddin
 
 When you send a batch request, the API immediately acknowledges receipt with a status like `queued` and provides a unique `request_id`. This ID is later used to poll for the final responses once the processing is complete.
 
-You can use the Batch API by either creating and deploying a Cloudflare Worker that leverages the [Batch API with the AI binding](/workers-ai/features/batch-api/get-started/), using the [REST API](/workers-ai/features/batch-api/batch-api-rest-api/) directly or by starting from a [template](https://github.com/craigsdennis/batch-please-workers-ai).
+You can use the Batch API by either creating and deploying a Cloudflare Worker that leverages the [Batch API with the AI binding](/workers-ai/features/batch-api/workers-binding/), using the [REST API](/workers-ai/features/batch-api/rest-api/) directly or by starting from a [template](https://github.com/craigsdennis/batch-please-workers-ai).
 
 :::note[Note]
 
 Ensure that the total payload is under 10 MB.
 
 :::
 
+## Demo application
+
+If you want to get started quickly, click the button below:
+
+[![Deploy to Workers](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/craigsdennis/batch-please-workers-ai)
+
+This will create a repository in your GitHub account and deploy a ready-to-use Worker that demonstrates how to use Cloudflare's Asynchronous Batch API. The template includes preconfigured AI bindings, and examples for sending and retrieving batch requests with and without external references. Once deployed, you can visit the live Worker and start experimenting with the Batch API immediately.
+
 ## Supported Models
 
 - [@cf/meta/llama-3.3-70b-instruct-fp8-fast](/workers-ai/models/llama-3.3-70b-instruct-fp8-fast/)