# Filth-extraction montage

**59,523,870 views proved it** · 8 of Damon's swipes use this format

## What it is

The transformation is the DEBRIS, not the surface. One tool pulled across a filthy thing extracts a visible mat of gunk; then the same tool proves itself on three or four unrelated surfaces in quick succession; then it rinses clean. Often opens with a witness in frame reacting to how bad it is.

## Why it works

Extracted filth is unfakeable evidence and physically satisfying. The multi-surface run turns one product into a household verdict instead of a single use case.

## The beats, in order

1. scene-setter with a witness or reaction — how bad it is
2. the hero pull: tool across the worst surface, mat of debris comes off
3. surface 2, different room, same tool
4. surface 3, tighter and faster
5. the tool rinsed under running water, clean again

## On-screen text

none, or a single small caption; a running spoken-caption track is tolerated, but nothing is ever pinned as a promise — the visual is the hook and text would steal from it

## Camera

handheld, close on the contact point, daylight or plain interior light, cuts on each surface change

## Higgsfield — image prompt

```
vertical 9:16 close photograph of {tool described exactly} pressed against {filthy surface described exactly}, a visible mass of {debris} lifting off, real domestic {room}, plain daylight, phone-camera look, no on-screen text
```

## Higgsfield — motion

```
handheld, the tool drags across frame and the debris follows it, no cuts inside the shot
```

## Produce it

Paste those into the Higgsfield employee: https://higgsfield.ai/supercomputer/skills?employeeId=0d38d619-0ac2-45c9-bfd5-3371837ccad3

## The references in this folder

- **@princess_one** — 59,523,870 views — https://www.instagram.com/p/DZMGaGUhibn/
- **@mohitburad_** — 43,041,975 views — https://www.instagram.com/p/DU5iewICL7f/
- **@petfurremover210** — 16,956,663 views — https://www.instagram.com/p/DaLF7GoA8ST/
- **@hunteradk** — 10,316,863 views — https://www.instagram.com/p/DacaK0FTm2O/
- **@kseniya.borovikova_** — 3,752,954 views — https://www.instagram.com/p/DTvyg8lkt-C/
- **@justdodealsfinds** — 3,209,279 views — https://www.instagram.com/p/DVOTUEsDVyp/
- **@heyheels** — 1,273,692 views — https://www.instagram.com/p/DcUC3I3TM-Y/
- **@beautime.official.gb** — 884,199 views — https://www.instagram.com/p/Db3sASKiU2a/

Each `.md` beside this file is one reference torn down: its beats with
timestamps, what carries the value, how to shoot it, and its own prompts.
`frames/` holds the six beats of each as one picture.
