Plan R: AI Video Editing / Clipping

Asset review → find highlights → smart clipping → captions & packaging → platform versions → data optimization

Time
30-60 min / clip
Cost
Low
Difficulty
Beginner

Best for

Best for cutting long videos (live replays, long talks, courses) into short clips, or batch content from existing footage.

Steps

Review assets and set goals

10 min

ChatGPT / Claude + you

Decide which long videos to clip, the target platform, and each clip's theme and length; skim for likely highlight segments.

💡Decide 'what you're cutting for whom' before hunting highlights; a wrong topic wastes a good edit.

Locate highlights

15-30 min

Whisper + AI analysis

Transcribe with Whisper and have the AI flag 'bang / insight / quote / conflict' moments with timestamps, zeroing in on the best 30-90 second segments.

💡AI timestamps plus quick human confirmation is an order of magnitude faster than watching frame by frame.

Smart clipping

15-30 min

CapCut / Descript

Cut segments on the timestamps, drop filler and dead air; use AI caption alignment and optionally reorder or add transitions.

💡Cut on a complete sentence boundary, never mid-thought.

Captions and packaging

10-20 min

CapCut

AI captions (proofread proper nouns) plus title, stickers and intro; adapt to 9:16 vertical and highlight key words to hold attention.

💡Proofread names and jargon manually; put the hook in the first-3-seconds caption.

Platform versions

10 min

CapCut + AI rewrite

Produce 9:16 vertical plus 16:9 horizontal from the same clip; adapt titles and cover copy per platform (AI generates variants, you pick).

💡Ship one clip with 2-3 titles across platforms to test which gets the clicks.

Data optimization

Weekly

Platform analytics + AI

Watch completion rate and drop-off points; feed the data to the AI to learn which highlight style cuts best, and iterate your clipping standard.

💡Log each clip's topic and cut style to build your own 'clipping playbook'.

Tools involved

CapCutDescriptWhisper / smart captionsChatGPT / Claude

Pitfalls to avoid

Dragging pacing

Clips that keep too much setup die; keep one highlight per clip and open with the hook in 3 seconds.

Caption typos

AI captions mangle names and jargon; proofread before publishing.

Quality loss

Repeated compression turns to mush; export at high bitrate and crop vertical from source rather than upscaling.

Repost compliance

Clipping others' content risks copyright; cut only your own footage or with permission.

Related Workflows

Plan A: Voiceover / Explainers

Write script → TTS voice → visuals → edit in CapCut → publish

Time：
15-40 min / video
Cost：
Low
Difficulty：
Beginner

Plan B: Text-to-Video Storyboards (Pro)

3-layer planning → prompt engineering → consistency assets → animatic preview → shot generation → sound design → spec-driven assembly + QC gates

Time：
2-4 hours / video
Cost：
Medium-High
Difficulty：
Advanced

Plan C: AI Avatar Presenters

Pick a tool → prepare the avatar → write the script → one-click generation → post-process & publish

Time：
~20 min / video
Cost：
~$2 / video
Difficulty：
Beginner