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Operations · Intermediate

# Natural language video rough cut generation

Assemble initial video edits, pacing, and captions directly from prompt descriptions

[Use with BotBento ](https://app.botbento.com/?ref=usecases&utm_source=botbento.com&utm_medium=usecases&utm_campaign=natural-language-video-rough-cut-generation)Copy promptShare[Markdown](/text/usecases/natural-language-video-rough-cut-generation/index.md)

Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askReceive footage and editing prompt
- ThenAnalyze scenes and arrange cuts
- ResultDeliver rough cut timeline plan

Turn raw video recordings and screen captures into structured initial video edits by interpreting narrative prompts. The bot analyzes input footage, isolates key segments, matches pacing or audio cues, and generates an organized multi-track timeline draft ready for creative review.

## Prompt to start with

BotBentoRecommended

```
When provided with raw media clips and an editing prompt, review the visual and audio content to identify relevant scenes and timestamps. Construct a sequence plan matching the requested target duration, pacing, and caption requirements. Always present the proposed cut list and timeline structure for user review before finalizing or exporting any completed project files.
```

Copy

## Tools it uses

BrowserChat

## Works with

BotBento

## Tags

- video
- editing
- multimedia
- content

## Source

[Launch HN: Cardboard (YC W26) – Agentic video editor](https://news.ycombinator.com/item?id=47170174)
Hacker News · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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