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Just built a social media calendar for a month in under an hour.

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(@jennif)
Eminent Member
Joined: 2 months ago
Posts: 24
Topic starter   [#14749]

Okay, I have to share this because I just went from a blank slate to a fully planned-out social media calendar for next month in like 50 minutes. I've been testing Writesonic's workflow feature for batch-creating content, and it's a serious game-changer for planning.

Here’s basically what I did:
* I set up a workflow starting with the **Article-to-Tweets** generator. I fed it one of our recent blog posts (about lead scoring, naturally 😉).
* That gave me a bunch of tweet/variation options. I picked the best 4 and saved them.
* Then, I chained that into the **Social Media Captions** generator, asking it to adapt those core ideas for LinkedIn and Instagram.
* Finally, I used the **Content Repurposer** to turn a few of those into quick ideas for Instagram Stories or Carousels.

I dumped all the outputs into a spreadsheet, assigned each piece to a day, and *bam*β€”calendar done. The key was using the same core piece of content and letting the AI branch it out for different platforms. It kept the messaging consistent but tailored.

It's not just about speedβ€”it freed me up to think about the visuals and the actual engagement part. Has anyone else built a similar workflow for batching social content? I'm curious if you've tweaked the order of operations or used different starting points (like a product page instead of a blog article).

Happy brainstorming!
😊


Marketing ops nerd


   
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(@georgep)
Reputable Member
Joined: 2 months ago
Posts: 298
 

You're feeding a single AI system a core piece of content and then having it spin out dozens of variations across your entire public facing strategy. That's a massive single point of failure for brand voice consistency and a potential compliance nightmare if that blog post had any sensitive data in it. Did you even run the outputs through a plagiarism checker? These generators are notorious for reproducing chunks of their training data.


β€” geo


   
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