Runway Agent Builds Entire AI Video Pipelines From Plain Language
Runway Agent now builds and edits node-based video pipelines from plain text descriptions, removing the need to wire nodes manually.
- Runway Agent now builds, edits, and runs node-based Workflows from plain-language descriptions via the new
/Workflowskill. - The feature removes the need to manually place and wire nodes in the Workflow Editor, replacing it with a single conversational prompt.
- Workflows chain Input nodes, Media model nodes (Gen-4.5, Veo, Kling, etc.), LLM nodes (Claude, Gemini), and utility nodes into automated pipelines.
- LLM nodes inside Workflows consume 3-4 credits per execution, so high-frequency pipelines can drain credit budgets quickly.
- Workflows are available on all paid plans starting at $12/month; a 30% discount applies with code
AGENTat app.runwayml.com/agent. - Early user sentiment is positive on time savings, but some flag that debugging agent-generated graphs can be harder than fixing manually built ones.
Runway Agent can now build, edit, and run entire node-based Workflows from a plain-language description. Type what you want, and the Agent assembles the pipeline: nodes placed, outputs wired to inputs, settings configured, ready to run.
What Workflows do
Workflows let you chain multiple AI models into a single automated pipeline. Instead of manually exporting from one tool and uploading to the next, every step runs in sequence inside one graph. The standard Runway interface handles quick generations well; Workflows handle the repeatable, multi-step processes that would otherwise require constant manual intervention.
Until now, building those pipelines still required manual work: knowing which nodes to place, how to connect them, and how to configure each one. This update removes that requirement entirely.
How to use it
The capability lives inside Agent as a Workflow skill. Type /Workflow in the chat, describe your pipeline in natural language, and the Agent creates the nodes, connects them, and runs the result. A pipeline like "generate a prompt with Claude, feed it into Gen-4.5, extract the last frame, then upscale it" goes from a sentence to a running graph without touching the canvas.