Event Video Clipping with AI: The Workflow That Actually Works

See the exact workflow echo uses to turn raw event footage into 13 video clips and 5 social reels — using Castmagic, Claude, and a healthy amount of human editorial judgment. Including an honest comparison with Opus Clip.

AI Is Really Good at One Thing. We Built Our Whole Workflow Around It.

There's a version of AI hype that promises it can do everything — write your copy, design your graphics, edit your video, basically replace your entire creative team with a chatbot and a prayer.

That version is exhausting. And mostly wrong.

But here's what AI actually is really, really good at: reading transcripts.

Not interpreting emotion. Not making creative judgment calls. Not deciding what a Scout troop moment means to the people in the room. Just reading — processing large amounts of text, finding patterns, identifying moments worth flagging. That's where it earns its keep.

At echo, that's exactly how we use it.

Here's what the workflow looks like in practice, using a recent Bentonville event as our example.

We start with raw footage. Before we touch a single clip, we run the recording through Castmagic and pull a timestamped transcript. That transcript becomes our map.

Then we bring it into Claude — which, as of right now, is the large language model performing best for this kind of work. (Tomorrow it could be something else entirely. That's kind of the point.) We run a video clipping prompt against the transcript, and Claude comes back with suggested chapters — timestamps, moments worth isolating, a rough architecture for the full meeting recording.

It's not perfect. It never is. We review, adjust, and fix whatever Claude got wrong. Then we layer in graphics and build out the sequences.

That's the human part. That's where judgment lives.

On this particular event, we had a situation that no AI tool was going to catch on its own.

During the live show, the AV crew accidentally fired a video intro too early — cutting into a Scout's introduction before it was supposed to happen. The moment was a little chaotic. The kind of thing that, if you just handed the raw footage to an automated tool, would get packaged up and sent to the client exactly as-is.

We caught it. Because we were watching.

We had separate video feeds, so we went back, pulled the clean version of the introduction, and rebuilt the sequence the way it was supposed to go. Sam Hansen from Troop 36 got her proper entrance. The client got a clean deliverable.

Like it never even happened.

After we lock the chapters, it's time for reels.

We run another prompt, Claude gives us starting points, and then we use a combination of built-in and third-party tools to reformat the sequences for vertical. Honest assessment: these tools work about 50% of the time. The other 50%, they choke — or in one memorable case, decided the most important thing to track on screen was someone's shadow.

So we do it manually. It takes longer. It looks better.

Final output for this event: one full meeting recording, 13 clean video clips, and five social reels. All usable. All client-ready.

Just for fun, we ran the same cleaned footage through Opus Clip — the AI video clipping tool that everyone seems to be excited about right now.

Thirty minutes later: about 30 chunks of social-formatted video. Maybe 6 or 7 that we'd actually feel good about posting.

To be fair, you could probably spend time learning the platform, dialing in your settings, getting better results. But even then, you won't have multiple camera feeds. You won't have color correction. You won't have custom graphics or the editorial judgment that comes from actually understanding what happened in that room and why it matters.

You'll have clips. We deliver content.

That's the difference, and it's why echo doesn't commit to any single tool.

We use whatever is best for the client, for the event, for the moment. Claude when Claude is the right call. Manual when manual is the right call. A can-do attitude when the AV crew fires a video intro too early and a Scout deserves a better entrance.

The tools are just tools. The judgment is what you're actually paying for.

This is Part 2 of a 3-part series on how echo handles event content repurposing — tools, prompts, and all. Part 3 covers derivatives: blogs, social graphics, and the PDF carousel.

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What You Start With Is What You End Up With — echo's Content Repurposing Process, Part 1