What happens when you press Run? The anatomy of an AI workflow
Let's open one workflow and look inside. A workflow is a graph: each box is a step, the arrows set the order, and steps that don't depend on each other run side by side. Your answers flow into the steps, some steps check their own work and run again, some wait for your approval, and every AI call is recorded with its own cost.
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What actually happens when you press Run? Let's open one workflow and look inside. A workflow is a graph. Each box is a step, and the arrows set the order. When two steps don't depend on each other, they run side by side. Each step has one job: writing, speaking, drawing or editing video. For every job, ToRun picks a model that can do it.
Your answers from the form flow into the steps. The story step writes for Ada, about a brave little fox. Then its story is passed on, to the narration and to the illustrations. While it runs, the run page shows every step: its status, how long it took, and
what it cost. Some workflows check their own work. If a step falls short of the bar, it runs again automatically, and every attempt stays visible.
Some steps wait for you. A song workflow, for example, shows you the lyrics first. You can approve them, edit them, or ask for new ones, before the music is made.
Every AI call in a run is recorded on its own, with its own cost: the story, the narration, every single illustration. So the total is never a mystery. When the last step finishes, the result lands in your library, ready to share.
Your inputs always stay private. Workflows, on ToRun.