ContentOS

I Was Drowning in Content Creation

Here's a dirty secret about the creator economy: filming is the easy part. The real grind? Editing 47 versions of the same video for different platforms. Cropping for TikTok. Adding captions for LinkedIn. Writing tweets to promote it. I was spending 6 hours on a 10-minute video—and 80% of that time wasn't even creative work.

So I built ContentOS. One upload. 20+ pieces of content. Zero extra effort.

Here's How The Magic Happens:

AI Vision Scan: Claude watches your video and identifies the 3-5 "viral moments"—the hooks, the one-liners, the quotable bits.
Auto-Extraction: FFmpeg surgically cuts those clips into vertical Shorts, square carousels, and audio snippets.
Smart Scheduling: Everything goes to Buffer/Notion with pre-written captions, ready to post at optimal times.

One creator went from posting twice a week to 14 times per week—without working a single extra hour.

It Writes Like You (Not Like a Robot)

The biggest complaint about AI content? "It sounds like ChatGPT." Generic. Corporate. Lifeless. I wasn't going to build another tool that spits out bland filler.

So I fed the AI every piece of content that creator had ever written—tweets, captions, newsletters, video scripts. Thousands of data points. The system learned their rhythm, their slang, their humor.

Casual SarcasmData-Backed ClaimsBold Openings

"I genuinely couldn't tell which tweets I wrote vs. which ContentOS generated. That's when I knew it was working."

The result? Content that passes the "friends would never suspect AI" test.

The System That Gets Smarter Every Week

Most automation tools are "set and forget." ContentOS is different—it's a flywheel that learns.

Every Monday, the system pulls engagement data from all platforms. Which clips got the most saves? Which tweets got quoted? Which LinkedIn posts got DMs?

High performers get tagged and fed back into the content idea database. Low performers get analyzed for patterns to avoid.