inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
Why it matters
Workflows adds durability, observability, and fault tolerance to AI processes. It survives timeouts, pauses mid-execution for human approval, and leaves traces when steps fail, all inside Studio rather than as a separately stitched orchestration layer.
