SOCIAL MEDIA

Auto-generate quote cards when a new podcast transcript lands in Dropbox

Watches a Dropbox folder for new episode transcripts, extracts the three strongest pull-quotes, renders branded quote-card images, and queues them as draft social posts for review.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew transcript file added to Dropbox folderDropboxDropbox
  • ActionRead transcript and extract top 3 pull-quotesOpenAI
  • ActionRender a branded quote card per quoteImage generation
  • ActionArchive rendered cards to Dropbox /social-cardsDropboxDropbox
  • OutputQueue cards as draft social posts for reviewSocial publishing

What it does

This workflow turns every freshly uploaded episode transcript into a small batch of ready-to-post, on-brand quote cards. It picks the most shareable lines, renders them as images in your visual template, and stacks them in a social queue so a human only has to approve and schedule.

When to use it

Use it when your editing team drops a finished transcript into Dropbox after each recording and you want social assets generated before anyone opens a design tool. Ideal for shows publishing weekly where the social pull-quote step is the bottleneck.

How it works

  1. 1A new `.txt` or `.srt` file appears in the watched Dropbox episode folder and fires the trigger.
  2. 2The transcript text is read and passed to a model that scores candidate sentences and returns the three strongest stand-alone pull-quotes.
  3. 3For each selected quote, a branded quote-card image is rendered with the quote, the guest name, and the show logo.
  4. 4The finished cards are uploaded back to a Dropbox `/social-cards` subfolder for archival.
  5. 5The cards are pushed as draft (unpublished) social posts so an operator can review and schedule them.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  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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