---
id: "question-complex-video-edits"
type: "open-question"
source_timestamps: ["00:15:26", "00:15:55"]
tags: ["limitations", "video-editing"]
related: ["concept-programmatic-video", "contrarian-cli-video-editing"]
resolutionPath: "Testing the workflow with a multi-cam, narrative video project requiring specific comedic timing and color correction to see where the programmatic approach breaks down."
---
# Handling Complex, Non-Programmatic Edits

## Open Question

While the video demonstrates programmatic removal of silences and bloopers, **it is unclear how well [[concept-claude-code|Claude Code]] and [[concept-remotion|Remotion]] can handle highly complex, narrative-driven editing** that requires:

- Nuanced human timing (comedic beats, dramatic pauses)
- Color grading of raw footage
- Complex multi-track audio mixing
- Multi-cam shot selection

## Why It's Unresolved

The demonstrated workflow excels at **rule-based** tasks (silence removal, templated motion graphics). The enrichment overlay surfaces cognitive film research (Mital et al., 2023) showing that edit timing and continuity affect viewer attention in subtle, context-dependent ways. Automated editing research in education also notes that pacing and narrative clarity often benefit from human expertise.

## Resolution Path

Test the workflow with a **multi-cam, narrative video project** requiring specific comedic timing and color correction. Identify which steps:

- Work out-of-the-box
- Need custom prompting or scripts
- Genuinely require a human editor

## Likely Synthesis

A **hybrid model** — automation for first passes and social derivatives, human editors for narrative polish — is consistent with current evidence. See [[contrarian-cli-video-editing]] for the broader frame.

## Related

- [[claim-automated-blooper-removal]]