Turn your best campaign into a repeatable pipeline

Single-purpose ai apps handle one job at a time: one product shot, one try-on, one upscale. That is the right tool when you need one asset. It stops scaling the moment a single product has to become a packshot, three lifestyle variants, a vertical video cut and a set of marketplace crops that all match each other.

A workflow is where those steps become one object. Inputs arrive from your asset library or a folder upload, each node applies its operation, and branches let one source image produce several finished formats in the same run. Because the pipeline is explicit, you can see which step introduced a problem and rerun from that node instead of starting the whole job again.

Runs are not confined to the browser. A saved workflow is callable over the model context protocol, so Claude or any other MCP client can trigger a production run with your parameters and hand back finished assets. You can build and run pipelines on the free plan before deciding what is worth automating.

Every node calls the same ai models the rest of the platform uses, so a workflow output is identical to the output of the equivalent single tool. What changes is that the sequence, the settings and the naming convention survive the run and are there the next time you need them.