CONTENT CREATION
Podcast episode to show notes and chapters in Notion
Transcribes a new podcast audio file with ElevenLabs, then uses OpenAI to draft timestamped chapters, SEO show notes, and a summary.
How it runs
The automated pipeline, trigger to output.
- TriggerNew audio file in Dropbox folderDropbox
- ActionTranscribe audio with ElevenLabsElevenLabs
- ActionGenerate summary, chapters, and show notes with OpenAIOpenAI
- LogicSkip if transcript is below minimum length
- OutputPublish asset pack to Notion pageNotion
What it does
Turns a finished episode audio file into a publish-ready Notion page containing a summary, timestamped chapter markers, and SEO-friendly show notes — no manual transcription or note-writing.
When to use it
Use it when a producer drops the final episode mix into a watch folder and you want the editorial assets ready before the host reviews them. Best for shows that publish notes on a website or distribute via Notion.
How it works
- 1A new audio file landing in the watched Dropbox folder fires the trigger.
- 2ElevenLabs transcribes the audio, returning text with word-level timestamps.
- 3OpenAI consumes the timestamped transcript and produces three things in one structured call: a 2-sentence summary, chapter markers with start times, and SEO show notes with keywords.
- 4A logic step checks the transcript length — episodes under a configured minimum are flagged as likely test files and skipped.
- 5The assembled pack is written to a new Notion page using the show's template, with chapters as a toggle list and notes as body copy.
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 NotionPages, databases, comments.
- 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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