ElevenCreative Flows - Node-based creative pipelines, now with real-time collab

Five tools, five export cycles, one finished ad. That's the production loop Flows is built to replace.

What it is: ElevenCreative Flows is a node-based canvas inside ElevenLabs' creative platform where teams chain image, video, voice, music, and sound effect models together and run the full pipeline from a single workspace.

Real-time collaboration went live today, which is the meaningful update here.

Previously, Flows was a solo tool for pipeline design. Now multiple team members can edit and run the same canvas simultaneously, with live cursor presence, shared execution, and node-level approval built in.

Reviewers and stakeholders get Basic Seat access, so they can watch, comment on, and approve outputs without consuming a full workspace seat.

What makes it different: the combination of a reusable pipeline model and real-time collab is what separates this from standalone generation tools. You build a Flow once for a campaign and your team runs it together, swapping products, voices, and markets to generate variations at scale without rebuilding from scratch each time.

Key features:

• Real-time multi-user editing with live cursor presence and shared pipeline execution

• 50+ image and video models plus ElevenLabs' full audio stack in one canvas

• Non-destructive node iteration: modify one step without re-running the whole pipeline

• Batch variation testing across products, hooks, languages, and voices

• Basic Seats for reviewers to approve without needing a full workspace seat

• Direct export to ElevenCreative Studio for timeline editing

Benefits:

• Replaces multi-tool production workflows with a single connected pipeline

• Scales creative output without scaling headcount

• Teams converge on final assets rather than coordinating between exports

• Reusable Flows compound in value across campaigns

Who it's for: performance marketing teams and creative agencies producing multi-format, multi-market ad content who need consistent output across variations without rebuilding the process each time.

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