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Operations · Intermediate

# Automated rough cut assembly from raw video footage

Parse spoken audio and visual cues to trim footage, build rough edits, and format clips

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

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

- When something happensRaw video uploaded
- ThenAnalyze footage and transcripts
- ResultRough cut timeline draft

Sifting through hours of unedited video recordings is tedious. This agent analyzes raw footage for key actions, dialogue, and specific subjects to assemble rough cuts, trim unusable takes, and generate short-form clips tailored to target platforms.

## Prompt to start with

BotBentoRecommended

```
Inspect incoming video recordings via the terminal to transcribe speech and identify target subjects or key visual moments. Create a structured edit decision list in notes, marking timestamps for cut points and dynamic captions. Before rendering, deleting source takes, or exporting finalized clips, present the cut plan to the team in chat for review and wait for explicit approval.
```

Copy

## Tools it uses

TerminalNotesChat

## Works with

BotBento

## Tags

- video
- editing
- multimodal
- automation
- media

## Source

[Launch HN: Mosaic (YC W25) – Agentic Video Editing](https://news.ycombinator.com/item?id=45980760)
Hacker News · checked 2026-10-15

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

By BotBento Editorial · Added 2026-10-15 · Updated 2026-10-15 · [Suggest a correction](/contact/)

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