# Prodigy Case Study: Posh Custom Prodigy Cloud Service

**URL:** <https://support.prodi.gy/t/prodigy-case-study-posh-custom-prodigy-cloud-service/6371>\
**Category:** Uncategorized\
**Tags:** best-practices\
**Created:** [February 16, 2023, 7:05pm UTC](https://support.prodi.gy/t/prodigy-case-study-posh-custom-prodigy-cloud-service/6371 "2023-02-16T19:05:14Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![ryanwesslen](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ryanwesslen/32/2969_2.png) [@ryanwesslen](https://support.prodi.gy/u/ryanwesslen)\
**Post date:** [February 16, 2023, 7:05pm UTC](https://support.prodi.gy/t/prodigy-case-study-posh-custom-prodigy-cloud-service/6371/1 "2023-02-16T19:05:14Z")

</div>

We released our latest Prodigy ✨ case study featuring @cheyanneb. We discuss Posh's excellent cloud Prodigy annotation service for annotations for Posh's AI (chat bot) assistants. We discuss ways Posh customized Prodigy's UI for custom annotation tasks and handles validation of multi-user annotations.

> **[Deploying a Prodigy cloud service for Posh’s financial chatbots · Explosion](https://explosion.ai/blog/posh-prodigy-financial-chatbots/)**
>
> A Prodigy case study of Posh Technologies’ production-ready annotation platform and custom chatbot annotation tasks for banking customers.

 ![posh_service (3)](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/5/5b660914ad7092598c29bd88c324eeb151316a1f.jpeg)

We're also happy to helped contributed to their recipes through many Prodigy Support posts.

 ![prodigy_support_broad (1)](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/4/4dcad062cdf354b693a8101989cb204884eae63b.jpeg)

This is our second Prodigy case study. In the Fall, we released the Guardian's Quote Extraction project:

> **[How the Guardian approaches quote extraction with NLP · Explosion](https://explosion.ai/blog/guardian/)**
>
> A case study of the Guardian's spaCy-Prodigy workflow to modularize quote extraction for content creation. This study includes iterative annotation guidelines and custom interface functionality.

Do you have an interesting Prodigy use case you want to share with the Explosion team?

Send me an email at `ryan@exposion.ai` and let me know about your project.

While we can't develop case studies for everyone who reaches out, if we think there's something interesting, we can set up a call to chat.