# Prodigy 1.12 alpha release: LLM-assisted workflows, prompt engineering & fully custom task routing for multi-annotator scenarios. **URL:** \ **Category:** Uncategorized\ **Tags:** news\ **Created:** [May 19, 2023, 5:42pm UTC](https://support.prodi.gy/t/prodigy-1-12-alpha-release-llm-assisted-workflows-prompt-engineering-fully-custom-task-routing-for-multi-annotator-scenarios/6552 "2023-05-19T17:42:27Z")\ **Posts on this page:** 1\ **Showing post:** 12
**Author:** ![koaning](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/koaning/32/230_2.png) [@koaning](https://support.prodi.gy/u/koaning)\ **Post date:** [June 22, 2023, 9:52am UTC](https://support.prodi.gy/t/prodigy-1-12-alpha-release-llm-assisted-workflows-prompt-engineering-fully-custom-task-routing-for-multi-annotator-scenarios/6552/12 "2023-06-22T09:52:51Z")
## **Documentation UPDATE!** The documentation for the new future release has _just_ received an important update: we now have documentation on Prodigy deployment! You can find these new docs hosted here: > **[Deploying Prodigy · Prodigy · An annotation tool for AI, Machine Learning...](https://future.prodi.gy/docs/deployment/)** > > A downloadable annotation tool for LLMs, NLP and computer vision tasks such as named entity recognition, text classification, object detection, image segmentation, evaluation and more. The guide has a big section on Docker deployments, and while these certainly differ per cloud provider and per cloud service, the guide should be general enough to highlight the things that you want to pay attention to. Once we release the full version of v1.12, these docs will also become available on the main site. --- _[View the full topic](https://support.prodi.gy/t/prodigy-1-12-alpha-release-llm-assisted-workflows-prompt-engineering-fully-custom-task-routing-for-multi-annotator-scenarios/6552)._