Your multi-tenant AI platform fails without flow control

The text discusses challenges and solutions for AI platforms serving multiple customers, emphasizing the necessity of effective flow control to manage long-running, non-deterministic, multi-step pipelines that rely on external providers. It highlights Inngest as a tool that offers advanced features like per-tenant concurrency, artifact-level safety, and provider-aware cost shaping, which are crucial for maintaining fair resource allocation and predictable costs. The text underscores the importance of comprehensive observability and step-level visibility to diagnose issues accurately within AI pipelines. Unlike traditional job queues or workflow engines that focus primarily on durability and retries, Inngest integrates these functionalities as first-class, declarative features directly into the function definition, thus enabling platforms to manage concurrency and resource allocation dynamically and efficiently.