CONTENT CREATION
Generate chapter timestamps and post to your episode hub
When an episode transcript is ready, this segments it into logical chapters, writes a clean timestamp list with descriptive titles.
How it runs
The automated pipeline, trigger to output.
- TriggerTranscript-ready webhook receivedHTTP webhook
- ActionDetect topic boundaries and propose chapter timesOpenAI
- ActionTitle and format chapter timestamp listOpenAI
- LogicMerge chapters under minimum length
- ActionSave chapter list to Notion episode pageNotion
- OutputPost chapter markers to Discord channelDiscord
What it does
Produces YouTube- and Spotify-style chapter markers for an episode. It detects topic shifts in the transcript, names each chapter, formats them as a clean timestamp list, and distributes the markers to your episode hub and listener community.
When to use it
Run it for any episode where you want chapter navigation but don't want to hand-mark topic changes. Useful for interview-heavy or multi-segment shows.
How it works
- 1A webhook from your transcription step fires with the episode's timestamped transcript.
- 2An LLM detects topic boundaries and proposes chapter start times.
- 3It writes a short descriptive title for each chapter and formats the HH:MM:SS list.
- 4A logic step merges chapters shorter than a minimum length so the list stays readable.
- 5The chapter list is saved to the episode's Notion page and posted to the show's Discord channel.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 4Connect DiscordCommunity channels + voice + bots.
- 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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