CONTENT CREATION

Repackage an episode into a multi-platform social blast

On manual launch for a chosen episode, this writes platform-tailored promo posts plus a pull-quote graphic, then publishes them across your connected social accounts in one batch.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggermanual
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator launches run for an episode
  • ActionLoad episode summary and pull quote from S3AWS S3
  • ActionDraft platform-tailored promo copyOpenAI
  • ActionGenerate branded pull-quote graphicImage generation
  • OutputPublish posts and image across platformsSocial publishing

What it does

Takes one published episode and fans it out into platform-specific social posts. It drafts distinct copy for each network, generates a branded pull-quote image, and publishes everything together so the episode launch hits every channel at once.

When to use it

Use it the moment an episode goes live, when you want a coordinated cross-platform push without rewriting copy by hand for each network.

How it works

  1. 1You launch the run manually and pick the episode to promote.
  2. 2The flow loads the episode's summary and best pull quote from your S3 metadata.
  3. 3An LLM drafts tailored copy for each target platform from that source material.
  4. 4A pull-quote graphic is generated from the chosen quote and episode art.
  5. 5The posts and image are published in one batch across your connected social accounts.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AWS S3Buckets, objects, signed URLs.
  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.

Run this workflow in your colony.

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