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Watch a Dropbox folder for field recordings and post each to Trello
Monitors a Dropbox folder where crews drop voice recordings, transcribes new files with ElevenLabs, extracts tasks with OpenAI.
How it runs
The automated pipeline, trigger to output.
- TriggerNew file in Dropbox folderDropbox
- ActionFetch recording from DropboxDropbox
- ActionTranscribe with ElevenLabsElevenLabs
- ActionSummarize + extract tasks (OpenAI)OpenAI
- OutputCreate Trello card with audio linkTrello
What it does
Keeps an eye on a shared Dropbox folder used as the drop point for field voice recordings. Whenever a new file appears, it transcribes the audio, derives action items, and creates a Trello card so the office sees each report as soon as it's uploaded.
When to use it
Use it when field teams already save recordings to Dropbox (offline-friendly, syncs when they get signal) and you want zero-touch conversion of those files into tracked work.
How it works
- 1A new file landing in the watched Dropbox folder triggers the run.
- 2The file is fetched from Dropbox.
- 3ElevenLabs transcribes the recording.
- 4OpenAI summarizes the report and lists action items.
- 5Trello creates a card with the summary as the title, action items as a checklist, and a link back to the original Dropbox audio file.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect ElevenLabsText-to-speech, voice cloning.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect TrelloKanban boards for everything.
- 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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Run this workflow in your colony.
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