SUMMARIZATION
Transcribe Loom files dropped in Dropbox into a Coda spec rollup
When a Loom export or video file lands in a watched Dropbox folder, it transcribes the audio, summarizes it into a spec entry.
How it runs
The automated pipeline, trigger to output.
- TriggerNew video file in Dropbox folderDropbox
- ActionRead file and transcribe audioOpenAI
- ActionSummarize transcript into spec schemaOpenAI
- ActionAppend row to Coda spec rollupCoda
- OutputAttach Dropbox link and confirmCoda
What it does
Watches a Dropbox folder for new Loom exports or recorded video files, transcribes the audio, and writes a structured spec summary into a Coda rollup table. The original file stays archived in Dropbox and is linked from the row.
When to use it
Use it when walkthroughs are saved as downloaded Loom files or screen recordings rather than living in a Loom account, and you still want them transcribed and rolled up automatically. Good for teams that archive video to Dropbox for retention.
How it works
- 1A new video file appearing in the watched Dropbox folder triggers the flow.
- 2The file is read from Dropbox and its audio sent to OpenAI for transcription.
- 3OpenAI then summarizes the transcript into a spec schema: summary, decisions, follow-ups.
- 4A new row is appended to the Coda spec rollup with those fields.
- 5The Dropbox file link is attached to the row and a confirmation is returned.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect CodaDocs, packs, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, 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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