Case study · Automation

MUSE: a content department that runs on a schedule

One dashboard that scripts, generates and queues video for six channels across four products — the same machine EXTENSA runs on itself.

The brief

Four products, six channels, one operator. Producing consistent video for all of them by hand is not a discipline problem, it is an arithmetic one. MUSE exists because the maths does not work without automation.

What we built

A pipeline that goes from a product brief to a finished, captioned video: script generation, voiceover, asset assembly, render, then a queue per channel with a dashboard to approve or reject before anything is published.

The approval step is deliberate. Fully autonomous posting is how brands end up with content nobody would have signed off; a human gate costs seconds and prevents that.

  • Brief-to-script generation per product and channel
  • AI voiceover and automated asset assembly
  • Automated render pipeline with captions
  • Per-channel scheduling queue with human approval
  • One dashboard across four products and six channels

Stack

  • Node.js
  • FFmpeg
  • AI APIs
  • ElevenLabs
  • Scheduled workers
Proof of work

Shipped, not mocked up

All selected work →

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