DocETL is a powerful system designed for processing and analyzing large volumes of text data. By leveraging the capabilities of large language models (LLM), it automatically optimizes data processing workflows while seamlessly integrating both LLM and non-LLM operations. Key advantages of the system include its declarative YAML definition method, which allows users to easily define complex data processing workflows. Additionally, DocETL offers an interactive playground for users to experiment with prompt engineering. The product background indicates that DocETL launched the DocWrangler in December 2024, an enhanced interactive playground aimed at simplifying prompt engineering. While specific pricing details are not provided, the case studies suggest that the costs for running and optimizing data processing workflows are relatively low. The product is primarily positioned for users who need to handle large text data and extract valuable information from it.