# Seven-Element Shot Description
Author: Alex Nikulin (Александр Никулин) — https://www.alexnix.com
Original: https://www.alexnix.com/en/articles/seven-element-shot-description · Published: 2026-04-20 · Updated: 2026-04-20
License and terms of use: © Alex Nikulin. Quoting and referencing are permitted only with credit to the author and a link to the original. Copying, republishing or paraphrasing without attribution is prohibited.

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> A prompt-engineering pattern between rigid JSON and free prose: mandatory coverage of seven named dimensions, expressed as one paragraph.

Tags: prompt-engineering, video, production, structured-prose

A director writes shot descriptions the way they would on set: "medium shot, woman at the table, soft window light." Some descriptions mention framing, some mention lens, none mention angle. Downstream stages — storyboard, stills, video — try to extract camera and lighting info and miss half the time. So you switch the pipeline to strict JSON shot objects with seventeen nullable fields, and the directors revolt: half the fields get left blank or stuffed with "default." Free prose loses dimensions; JSON kills authorship.

The middle path is to keep the prose — but make a small, fixed, **mandatory** set of dimensions non-negotiable in every description.

The **seven-element shot description** is a prompt architecture for cut-list authoring where every shot description — LLM-generated or human-written — must contain exactly seven named elements, in prose form. Mandatory coverage, free expression. It bridges the too-rigid of JSON schemas and the too-loose of free prose.

## The seven elements

1. **Subject + action** — what the camera sees and what it's doing
2. **Location** — where the scene sits
3. **Framing** — wide / medium / close / detail
4. **Angle** — eye-level / high / low / top-down
5. **Movement** — static, pan, push-in, orbit, etc.
6. **Lens** — wide / normal / portrait / macro equivalent
7. **Lighting** — directional / soft / hard / practical / natural state

Every shot description — at every stage of the pipeline — contains all seven.

## Why seven, and why prose

Seven is the largest working-memory-friendly set that covers the bases. Fewer collapses dimensions (framing implies lens); more starts to feel like a form with blanks to fill.

Prose, not JSON, because:

- Downstream stages consume the description in multiple ways — storyboards read framing+angle+movement; stills read subject+location; video reads movement+action. A JSON object would force every consumer to map named fields back to LLM-consumable prose.
- Prose lets dimensions interact naturally ("wide-angle lens at low angle, pushing in slowly") where JSON would have three disconnected fields.
- LLMs generate better prose than they generate structured fields — the dimensions are all present, but the sentence form reads naturally.

The structure is **seven named elements**, not **seven JSON keys**. The LLM is instructed to include all seven; the output is prose.

## Why it's a distinct architecture

Free-prose shot descriptions miss dimensions — a writer forgets to specify lens or lighting. Rigid schemas force writers to fill fields they don't care about (`duration: null`, `color_palette: unspecified`). The seven-element pattern is a middle path: **mandatory coverage, free expression**.

It is also the interface between human-authored and LLM-authored shots. A director who knows the seven elements can hand-write a shot the pipeline consumes cleanly; an LLM that emits a seven-element description produces something downstream stages — and the director — can read and edit.

## Where the elements go downstream

| Downstream stage | Elements consumed |
|---|---|
| Storyboard generation | Framing, angle, movement (composition) |
| Stills generation | Subject, location, lens (scene content) |
| Video generation | Movement, subject+action (motion) |

Downstream stages do not re-extract from free prose. The LLM is instructed to label dimensions clearly in the sentence ("Framing: medium close. Angle: eye-level. Lens: 50mm equivalent.") so each consumer reads the named dimensions directly.

## Failure modes

- **Partial descriptions.** The model skips lens or lighting because the user didn't specify. Counter: the system prompt requires all seven; if a dimension isn't given, the model chooses a sensible default and states it explicitly.
- **Dimension bleed.** Lighting ends up inside the "subject" element ("woman lit by warm light…"). Counter: anti-examples in the system prompt.
- **Over-compression.** The description collapses to one sentence that mentions all seven without giving each room. Counter: enforce one sentence per element, or a minimum word count per element.

## Generalises beyond shot lists

The pattern is **a fixed, small, mandatory set of named dimensions in prose form, covering the task's decision space without collapsing into a form**. It applies anywhere you author lists of structured-but-readable items:

- **Test case authoring** — seven mandatory fields per test (input, expected output, assumptions, setup, teardown, edge case covered, author).
- **Task decomposition** — seven elements per sub-task in an agentic plan (goal, preconditions, action, expected state, rollback, metric, timeout).
- **Character sheets** — seven elements per character per scene (presence, costume, motivation, movement, dialogue mood, expression, off-screen note).

Any cut-list-shaped authoring task benefits from the same trick.

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© Alex Nikulin (Александр Никулин). Original: https://www.alexnix.com/en/articles/seven-element-shot-description. Quote only with credit to the author and a link to the original.
