OTHER
Length-aware Trello audio: full read for short cards, summary for long ones
When a card is labeled 'make-audio', it measures the body length and routes accordingly — short cards get verbatim narration, long cards get an OpenAI summary first.
How it runs
The automated pipeline, trigger to output.
- TriggerCard labeled 'make-audio'Trello
- LogicBranch on card body word count
- ActionSummarize long cards into a scriptOpenAI
- ActionSynthesize narration MP3ElevenLabs
- ActionUpload MP3 to list-named Dropbox folderDropbox
- OutputComment link and mode on the cardTrello
What it does
Produces the right kind of audio for each card. It checks how long a card's body is: short cards are read word-for-word so nothing is lost, while long research dumps are condensed by OpenAI into a listenable summary first. Either path ends in an ElevenLabs MP3 archived to Dropbox.
When to use it
Use it when your cards vary wildly in length — quick notes alongside multi-page pasted articles — and you want a single workflow that handles both without producing 40-minute readings of raw text.
How it works
- 1A card gains the 'make-audio' label (trigger).
- 2A logic step counts the words in the card body and branches on a threshold.
- 3Short branch: the body is passed through as-is with light cleanup.
- 4Long branch: OpenAI summarizes the body into a 2-3 minute spoken script.
- 5ElevenLabs synthesizes the chosen text into an MP3.
- 6The MP3 is uploaded to Dropbox, foldered by the card's source list name.
- 7The Dropbox link and chosen mode (full vs summary) are commented on the card.
Set it up
What you configure once, before turning it on.
- 1Connect TrelloKanban boards for everything.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ElevenLabsText-to-speech, voice cloning.
- 4Connect DropboxFiles and folders.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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