CONTENT CREATION
Episode Promo Package Builder Agent
On request for a given episode, an agent transcribes the audio, then assembles a full promo package — show notes, chapters, clip timestamps, a teaser tweet thread.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run for a chosen episode
- ActionTranscribe audio with timestamps and speakersElevenLabs
- ActionAgent drafts full promo package from transcriptOpenAI
- ActionWrite show notes, chapters, and clips to NotionNotion
- OutputFile teaser thread and newsletter blurb in Google DriveGoogle Drive
What it does
Runs an agent that produces an entire episode promotion kit from a single recording. Rather than one fixed output, it decides which assets the episode needs and creates them: structured show notes, chapter markers, ranked clip timestamps, a social teaser thread, and a newsletter blurb, then routes each to its home system.
When to use it
Use it when launching an episode and you want one command to generate every promotional asset at once instead of running separate workflows. Best for marketing-heavy shows where a producer wants a reviewable bundle before publishing anything.
How it works
- 1A manual run is started for a specific episode audio file.
- 2ElevenLabs transcribes the audio with timestamps and speaker labels.
- 3The agent reasons over the transcript to draft show notes, chapters, clip candidates, a teaser thread, and a newsletter blurb, deciding emphasis based on the episode's content.
- 4It writes the show notes, chapters, and clip table into a Notion page.
- 5It files the teaser thread and newsletter blurb into a Google Drive doc for the marketing team to schedule.
Set it up
What you configure once, before turning it on.
- 1Connect ElevenLabsText-to-speech, voice cloning.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 4Connect Google DriveDocs, sheets, slides, files.
- 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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