AI Content Repurposing: How to Turn One Video into Eight Social Posts, an Email, and a Blog Article

Pop this open if you've ever recorded a great video and watched it die after one post. That used to be me. I'd film something I was proud of, post it once, and then... silence. The video sat in a folder. The ideas inside it never reached anyone again.

That's the problem this article fixes.

I'm going to walk you through the exact workflow I use to turn one 22-minute video into eight social posts, one email, and a blog article. Ten pieces of content from one piece of work. I built it over about four months and it now runs in under two hours of focused time. Some of that is hands-on. Most of it is AI doing the grunt work while I supervise.

Quick admission before we start. You'll see I name specific tools below. I am not loyal to any of them. If a better tool shows up next month, I'll swap it in. The workflow is the durable thing. The tools are just the muscles.

The starting point: one recorded video

Everything begins with a real video. Not a script. Not a teleprompter performance. A real conversation, training, or solo recording where you said something useful for 15 to 30 minutes. Mine usually clock in around 20 to 25 minutes because that's how long I can talk before I need water.

Why does the length matter? Because anything shorter and you don't have enough raw material to slice. Anything longer and you'll get tired of editing before the workflow finishes.

Record in 1080p minimum. Frame yourself in the upper two thirds. Leave clean space around your head so the vertical crops don't chop your face. That part is so dumb-simple but I cannot tell you how many agents send me content with their forehead cut off.

Step 1: Run the video through Opus Clip

Upload the full video to Opus Clip. As of mid-2026, the platform takes your long video and auto-generates short vertical clips with captions, suggested hooks, and a "virality score" for each one. I don't trust the score. I trust my eye.

What I'm looking for in the auto-clips:

• A clip where I made a single, complete point
• A clip with a real emotion in my face (irritation, excitement, a laugh)
• A clip with a number or specific example in it

I pick five to seven clips from each Opus Clip pass. The platform usually generates 15 to 25, so I'm rejecting more than I'm keeping. That ratio matters. If you publish all 15, you train the algorithm to think your content is forgettable.

Time spent: 12 to 18 minutes.

Step 2: Polish the clips inside Descript

Each kept clip goes into Descript next. Why two tools? Because Opus Clip is fast at slicing, and Descript is great at fine edits. Inside Descript I:

• Tighten the captions (Opus Clip is mostly accurate but it gets names wrong a lot)
• Remove a stray "um" or a thirty-second tangent if the clip needs it
• Add a hard-stop at the end so the video doesn't bleed into a weird half-thought
• Bump the audio so the voice sits forward

Descript's transcript-based editing means I delete a word and the audio cuts with it. It still feels like magic to me even though I've used it for two years now.

This is also where I sometimes use Descript's Studio Sound to clean up background noise, especially if the original was filmed in a hotel room or on the road. The feature was solid the last time I used it but they iterate on it constantly, so check the current version when you set up your account.

Step 3: Caption rewrite for each platform

Now the eight social posts. The clip is the same. The caption is not.

I open Claude and paste in the clip's transcript along with a quick brand-voice context block. I have a saved prompt that says something like: "Here's a transcript of a short video. Write me one Instagram caption, one LinkedIn post, one TikTok caption, and one YouTube Shorts description. Each one has to sound like Krista Mashore. Direct. Confident. No corporate filler. Use my voice rules."

Claude gives me four drafts. I rewrite at least two of them by hand because the AI versions always feel a hair too clean. That's the part most people skip and it's why their content sounds like every other coach.

Here's a trick. If I'm tired and the AI version is close, I read it out loud. If I stumble or feel embarrassed saying any sentence, I cut it. Real speech doesn't make you cringe.

Step 4: Build the email from the same source

Now the email. I take the original 22-minute transcript and feed it back to Claude with a different prompt: "Pull out the single strongest teaching moment from this transcript and write me a 250-word email about it. Open with a hook for one person. End with a soft CTA to the full video."

The email is shorter than what most people send. That's intentional. People skim emails on phones at red lights. 250 words is the right size.

What does AI do here? The structure, the framing, the smooth flow. What do I do? I add the personal detail at the top. Something like... "I almost didn't record this video because my dog was barking the entire morning and I was over it." That kind of line doesn't come from a prompt. It comes from your actual day.

Step 5: The blog article

This is the heaviest piece and the one most coaches skip. They think nobody reads anymore. They're wrong.

I give Claude the full transcript plus the email I just wrote plus three or four bullets of structure I want the article to follow. Claude drafts a 1,200-word blog. Then I rip into it.

The rewrite usually takes me 30 to 40 minutes. I:

• Add specific stories from the actual recording
• Cut any sentence that could have been written by anybody
• Insert two or three "human moments" where I admit something or shift mid-thought
• Adjust the headers so they're real, not generic

The result is an article that pulls organic search traffic for months. One video. Months of return.

Step 6: The optional HeyGen layer

If I want to repurpose for a different audience (Spanish-speaking, a co-marketing partner, a private community), I send a script version through HeyGen and have an avatar version generated. I use this maybe once a month. It's not a daily move for me. But when you need it, it's there.

What AI does vs. what you do (the honest breakdown)

AI handles: the slicing, the transcription, the first-draft writing, the structure, the captions, the audio cleanup.

You handle: the original recording, the clip selection, the personality injections, the final pass before publishing, the strategic decisions about which platform gets what.

If you flip that and let AI handle the personality? Your content will read like the 4,000 other AI posts in someone's feed. The whole point of the workflow is to scale your voice. Not replace it.

Want me to walk you through this live?

If you want to see this workflow run in real time, with the exact prompts and the screen recordings of every tool, I teach it inside Level Up. We sit down together and I show you my prompt library, the saved Claude project, and the Descript shortcuts that save me hours every week. Come join us at Level Up and I'll show you how the whole engine runs.