Launching durable AI workflows for video with @mux/ai

Mux has introduced the @mux/ai tool to simplify AI workflows for video processing, addressing user demand for automated solutions rather than manual coding. The tool provides functions like video summarization and tagging, with optional customization of prompts and AI models. However, challenges arise when deploying these workflows in production, as APIs can be unreliable and slow. To address this, Mux considered various solutions before opting for Vercel's Workflow DevKit, which offers durability, error handling, and observability without requiring specific infrastructure. This integration allows users to easily enhance standard @mux/ai workflows to be more robust and scalable. Workflow DevKit supports different runtime adapters and environments, enabling seamless deployment and integration. Mux encourages users to explore the capabilities of @mux/ai combined with Workflow DevKit for creating production-ready, scalable AI applications.

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