CONTENT CREATION

Pull-quotes from episode transcript to social graphics

Extracts the most quotable lines from a podcast transcript with OpenAI, renders branded quote cards, and posts them across social platforms with the episode link.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEpisode published webhookHTTP webhook
  • ActionExtract top pull-quotes with OpenAIOpenAI
  • LogicFilter quotes by length and brand-safety rules
  • ActionRender branded quote cardsImage generation
  • OutputPost quote cards to social platformsSocial publishing

What it does

Mines a podcast transcript for its sharpest, most shareable lines and turns each into a branded quote-card image, then schedules them to social channels — converting one episode into a week of promo posts.

When to use it

Run it after an episode publishes when you want pull-quote graphics for social without a designer in the loop. Ideal for marketing teams repurposing long-form audio into short social hooks.

How it works

  1. 1A webhook fires when the episode is marked published, carrying the transcript text and episode URL.
  2. 2OpenAI ranks candidate lines and returns the top five pull-quotes with the speaker attribution for each.
  3. 3A logic step filters out quotes that are too long for a card or that name third parties, keeping only clean, on-brand lines.
  4. 4The image generator renders each surviving quote onto the show's branded card template.
  5. 5The cards are posted across the configured social platforms with the episode link and a caption.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Image generationManaged Nano Banana image renders, metered per image.
  4. 4
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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