CONTENT CREATION

CEO-orchestrated episode launch: kit, review thread, and promo plan

On a new recording, the org's CEO agent transcribes it, drafts chapters, show notes, and quote cards, posts a review thread to Slack.

CategoryContent Creation
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew recording in DropboxDropboxDropbox
  • ActionAgent transcribes and drafts full kitElevenLabsElevenLabs
  • ActionRender quote cards for reviewImage generation
  • ActionPost review thread to SlackSlack
  • LogicWait for approval; route revisions back
  • OutputPublish approved kit to NotionNotionNotion

What it does

Runs a full episode launch as an agent-driven workflow with a human gate. The CEO agent transcribes the recording, drafts the complete kit — chapters, show notes, and quote cards — then opens a review thread in Slack summarizing what it built. It only publishes to Notion after a teammate approves, keeping a human in the loop on every release.

When to use it

Use it when episode launches involve judgment and sign-off, not just mechanical processing — for example when show notes need brand-voice review or quotes need approval before they go public.

How it works

  1. 1A new recording in Dropbox triggers the CEO agent.
  2. 2The agent transcribes the audio via ElevenLabs and drafts chapters, show notes, and quote-card images.
  3. 3It posts a review thread to Slack with the drafts and a clear approve/revise prompt.
  4. 4A logic step waits for the approval reply and routes revise requests back to the agent.
  5. 5On approval, the output step publishes the finished kit to Notion.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect Image generationManaged Nano Banana image renders, metered per image.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect NotionPages, databases, comments.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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