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Editing reels with AI: how I work with Claude

What AI-assisted reel editing looks like in practice: Claude writes the editing code, I make the calls. Tools, numbers, costs and real examples.

2026-10-23·9 min read
Editing reels with AI: how I work with Claude

People often ask me: "do you edit, or does AI?". The honest answer: both, but not the way you think. I do not drop footage into an app with a "make a reel" button. I work with Claude, an AI model by Anthropic, which writes the editing code for me. I say what should happen on screen, it turns that into a program that assembles the video frame by frame. Then I watch the result and ask for changes, sometimes ten times.

Composition code next to the finished frame. One composition renders three formats. AI footage, labelled.
Composition code next to the finished frame. One composition renders three formats. AI footage, labelled.

How it works, step by step

First I always watch all the footage myself. That is the one thing I never hand over, because only then do I know what is strongest. Then I plan the video like a director: who watches it, the hook, the middle, the ending.

Then Claude comes in. I say, for example: "speed up to 2.2× into every cut, glide slowly in the middle of each shot, cut on the beat at 112.5 BPM". It writes the script, runs it, and I get a finished segment to review. If something is off, I say what, and it fixes the code.

ToolWhat forWhat you get
Remotionediting and animation as codethe same video in several formats at once
RIFEin-between frame interpolationsmooth slow motion from phone footage
Real-ESRGANupscalingsharper image from older footage
Apple Visionsubject masks, reading text in framestext behind a person, blurring signs
Whisper (local)word timings from the voicecaptions exactly in sync with the voice
ElevenLabsvoice-over and musiclicensed voice and score

Whisper and Vision run on my own computer, so your footage does not go to yet another cloud company just to get captions.

Three real examples

A walkthrough with speed ramps. Claude first measured the reference video I showed it: optical flow showed 112 BPM and bursts of 1–1.5 seconds. Then it calculated speed curves for 14 shots so each used exactly the available footage: slow motion from 0.26× to 0.73×, 24.6 seconds in total.

Speed curve: a 2.2× burst into every cut, a slow glide in the middle of each shot.
Speed curve: a 2.2× burst into every cut, a slow glide in the middle of each shot.

One spot, three formats. 19 seconds, three renders. Four voice-over takes cost about $0.17. Whisper timed 39 words to a hundredth of a second for word-by-word captions.

Signs to blur. To show a reel without a client's name, Claude wrote a small Apple Vision program that read the text in every frame: it found text, including the sign, in 243 of 338 frames, and the blur followed it smoothly.

Text hidden behind a person using an Apple Vision subject mask. Zosia is our AI persona.
Text hidden behind a person using an Apple Vision subject mask. Zosia is our AI persona.

What AI will not do for you

With its Q1 2026 results Meta said more than 8 million advertisers used at least one of its AI creative tools (PPC Land, 29 April 2026). When everyone has the same buttons, the better footage and the better idea win. And I label everything made by AI.

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