OTHER

Regenerate IVR Voice Prompts When Notion Naming Doc Changes

Watches a Notion product-naming page and, whenever a product or feature name changes, regenerates the affected ElevenLabs IVR audio prompts and saves the new MP3s to Dropbox.

CategoryOther
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNotion naming page or property updatedNotionNotion
  • LogicDiff names and select prompts referencing changed terms
  • ActionRebuild affected IVR script lines from templates
  • ActionSynthesize new prompt MP3s with ElevenLabs voiceElevenLabsElevenLabs
  • OutputWrite audio files and change manifest to DropboxDropboxDropbox

What it does

Keeps your phone tree spoken in your current product names. It treats a Notion database as the single source of truth for product and menu naming. When a name is edited, it rewrites the matching IVR script lines, re-synthesizes them with ElevenLabs using your brand voice, and drops the fresh audio files into Dropbox for the telephony team to upload.

When to use it

Use this when product or plan renames are decided in Notion and your IVR still announces the old names. Ideal for teams who rebrand often and want callers to never hear a stale product name.

How it works

  1. 1A Notion page or database property change fires the trigger.
  2. 2A logic step diffs the new values against the last synced names and selects only prompts whose text references a changed term.
  3. 3For each affected prompt, an action rebuilds the script line by substituting the new name into the stored template.
  4. 4ElevenLabs synthesizes each line to MP3 using the configured voice ID and stability settings.
  5. 5The output step writes the new audio files plus a change manifest to a dated Dropbox folder.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  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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