SUMMARIZATION

Generate spoken chapter-summary preview reels for a book

On a schedule, summarizes each chapter of a source document to a short teaser, narrates the teasers with ElevenLabs.

CategorySummarization
Enginesim
Difficultybeginner
Triggerschedule
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled preview build run
  • ActionOpenAI writes a teaser summary per chapterOpenAI
  • LogicCap teaser length; drop front-matter chapters
  • ActionElevenLabs narrates each teaserElevenLabsElevenLabs
  • ActionAssemble combined reel + per-chapter clips
  • OutputPost reel and clips to Slack for reviewSlack

What it does

Creates short, spoken chapter previews instead of full narration. For each chapter it writes a tight summary teaser, narrates it with ElevenLabs, and assembles a single preview reel alongside individual clips, then drops everything into a Slack channel for the team to review and approve.

When to use it

Use it for marketing and pre-release: sample reels for a landing page, social teasers, or internal sign-off before committing to full audiobook production. Lets a team hear the tone of every chapter in a couple of minutes.

How it works

  1. 1A scheduled run starts the preview build.
  2. 2OpenAI reads the source document and produces a concise teaser summary per chapter.
  3. 3A filter caps teaser length and drops chapters that are pure front matter.
  4. 4ElevenLabs narrates each teaser in the chosen preview voice.
  5. 5The flow concatenates the teasers into one preview reel and keeps the per-chapter clips.
  6. 6The reel and clips post to a Slack channel with chapter labels for review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OpenAIModels, embeddings, files.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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