CONTENT CREATION
Convert a finalized Google Doc into social variants and archive the assets to S3
When a doc lands in a Drive folder, this extracts the text, generates social variants and an image, uploads the image to S3 for a durable CDN-ready URL, and queues the posts.
How it runs
The automated pipeline, trigger to output.
- TriggerNew document added to Drive folderGoogle Drive
- ActionRead document textGoogle Drive
- ActionGenerate social variantsOpenAI
- ActionGenerate feature imageImage generation
- ActionUpload image to S3 for stable URLAWS S3
- OutputQueue posts with hosted imageSocial publishing
What it does
Treats a Google Drive folder as the handoff point between writing and distribution. When a finalized doc appears, the flow pulls its text, generates platform variants and an image, stores the image in S3 so you keep a permanent, CDN-servable asset URL, and queues the social posts referencing that hosted image.
When to use it
Use it when your writers finish drafts in Google Docs and you need both distribution and a clean asset archive — for example, when posts reference images that must remain live long-term rather than relying on a platform's transient upload.
How it works
- 1A new document is added to the watched Drive folder, firing the trigger.
- 2The flow reads the document's text content.
- 3OpenAI produces LinkedIn and X variants from the doc.
- 4generate-image creates a feature image.
- 5The image is uploaded to an S3 bucket, returning a stable public URL.
- 6post-to-platforms queues the variants using the S3-hosted image.
Set it up
What you configure once, before turning it on.
- 1Connect Google DriveDocs, sheets, slides, files.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Image generationManaged Nano Banana image renders, metered per image.
- 4Connect AWS S3Buckets, objects, signed URLs.
- 5Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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