Write, design and post social content from a Google Sheet
An automation built with Make, OpenAI, Cloudinary and Buffer writes captions, designs content and posts it across social platforms from a sheet. Task: Suggested implementation: A Make.com automation triggers on a new Google Sheets row containing post idea, audience, and tone. It uses OpenAI to generate a caption, DALL-E for an image, uploads to Cloudinary, updates the sheet, and sends a Slack approval request before Buffer publishes. Human role: Review and approve assets in Slack.; tools: Make. Human role: Source evidence is unavailable regarding specific human roles beyond the Slack approval step mentioned in the workflow.; limitations: Prerequisites: Active accounts for Make, OpenAI, Cloudinary, Slack, and Buffer. Constraints: Not fully autonomous; requires human approval in Slack. Integration uncertainty: API rate limits and image generation failures may require error handling. Source reliability: Low, as the primary source is inaccessible and the provided text is incomplete..
Tools
Published on Agent Work Atlas:
Overview
An automation built with Make, OpenAI, Cloudinary and Buffer writes captions, designs content and posts it across social platforms from a sheet.
Workflow
Suggested implementation: A Make.com automation triggers on a new Google Sheets row containing post idea, audience, and tone. It uses OpenAI to generate a caption, DALL-E for an image, uploads to Cloudinary, updates the sheet, and sends a Slack approval request before Buffer publishes. Human role: Review and approve assets in Slack.
Reported result
Outcome unknown. The source text is truncated and the original Reddit post returned a 403 error, so actual performance metrics like the claimed 'under two minutes' cannot be verified. Proposed acceptance check: Measure end-to-end latency from sheet entry to published post and verify asset integrity.
Human role
Source evidence is unavailable regarding specific human roles beyond the Slack approval step mentioned in the workflow.
Limitations
Prerequisites: Active accounts for Make, OpenAI, Cloudinary, Slack, and Buffer. Constraints: Not fully autonomous; requires human approval in Slack. Integration uncertainty: API rate limits and image generation failures may require error handling. Source reliability: Low, as the primary source is inaccessible and the provided text is incomplete.
Try it
Act as an automation engineer. I need to build a social content pipeline using Make.com. Inputs: [Google Sheet URL with columns: Idea, Audience, Tone], [OpenAI API Key], [Cloudinary API Key], [Slack Webhook], [Buffer Account]. Steps: 1. Create a Make scenario triggered by a new row in the Google Sheet. 2. Use OpenAI to generate a caption based on Idea, Audience, and Tone. 3. Use DALL-E to generate an image based on the Idea. 4. Upload the image to Cloudinary and get the URL. 5. Update the Google Sheet with the caption and image URL. 6. Send a Slack message with the caption and image for approval. 7. Wait for a 'Publish' reaction or button click in Slack. 8. If approved, send the content to Buffer for scheduling. Deliverables: A JSON export of the Make scenario and a test log. Quality Check: Run a dry run with one test row. Verify the image loads in Slack and the sheet updates correctly. Do not connect to live Buffer until I confirm the dry run output is correct. If any API fails, stop and report the error code.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.