SUMMARIZATION

Narrate Coda doc chapters and keep a status tracker in sync

On a schedule, reads chapter sections from a Coda doc, narrates only chapters marked Ready, and updates each row in Coda with audio URL, duration, and a Done status.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled sync run (hourly)
  • ActionRead chapter rows from Coda tracker tableCodaCoda
  • LogicKeep only rows marked Ready with body text
  • ActionElevenLabs narrates each ready chapterElevenLabsElevenLabs
  • ActionStore audio file to Dropbox for stable URLDropboxDropbox
  • OutputUpdate Coda rows with URL, duration, Done statusCodaCoda

What it does

Drives narration from a Coda chapter tracker. Each chapter is a row with text and a status. The workflow narrates only rows marked Ready, then writes the resulting audio link, duration, and a Done status straight back into the same Coda table so editors always see live progress.

When to use it

Use it when a team manages an audiobook chapter-by-chapter in Coda and wants narration to flow automatically as chapters get approved, rather than batching the whole book at once. Great for editorial pipelines with rolling sign-off.

How it works

  1. 1A scheduled run kicks off the sync (e.g. hourly).
  2. 2The flow queries the Coda chapter table for rows whose status is Ready.
  3. 3A filter skips any row already marked Done or missing body text.
  4. 4ElevenLabs narrates each remaining chapter and returns audio plus duration.
  5. 5The audio file is stored to Dropbox for a stable shareable URL.
  6. 6Each Coda row is updated in place with the audio URL, duration, and a Done status, closing the loop for editors.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CodaDocs, packs, automations.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect DropboxFiles and folders.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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