Storing AI Content in Docs and Sheets
Your AI agents already generate content. Now you turn the long-form outputs into documents.
LinkedIn post → Google Doc
After the LinkedIn agent, add Google Docs → Create a Document.
Use a title like LinkedIn post – {{RSS title}}, map the agent’s text as the content, and select your prepared Drive folder.
Blog post → Google Doc
After the blog agent, add another Create a Document module.
Use Blog post – {{RSS title}} as the title and map the blog article text.
Each RSS item now creates two Docs.
Update the Same Sheet Row With All Outputs
You already created a row when the RSS item entered the scenario. Now you fill that same row.
For each qualifying RSS item, your scenario now:
- Creates one row in Google Sheets
- Generates a tweet, a LinkedIn post, and a blog post
- Stores long-form content as Google Docs
- Updates the same row with text and document links
Everything stays organized, traceable, and easy to review.
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Storing AI Content in Docs and Sheets
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Your AI agents already generate content. Now you turn the long-form outputs into documents.
LinkedIn post → Google Doc
After the LinkedIn agent, add Google Docs → Create a Document.
Use a title like LinkedIn post – {{RSS title}}, map the agent’s text as the content, and select your prepared Drive folder.
Blog post → Google Doc
After the blog agent, add another Create a Document module.
Use Blog post – {{RSS title}} as the title and map the blog article text.
Each RSS item now creates two Docs.
Update the Same Sheet Row With All Outputs
You already created a row when the RSS item entered the scenario. Now you fill that same row.
For each qualifying RSS item, your scenario now:
- Creates one row in Google Sheets
- Generates a tweet, a LinkedIn post, and a blog post
- Stores long-form content as Google Docs
- Updates the same row with text and document links
Everything stays organized, traceable, and easy to review.
Дякуємо за ваш відгук!