Prompt

Design & CreativePromptPlan

From Footage to Rough Cut — Editor's Structure Notes

Turns transcripts, logs and the director's intent into a rough-cut structure — story beats, selects, pacing notes and open questions — so the first cut has shape before a single clip is dragged in.

  • Role-Based
  • Step-by-Step
  • Constraints

Opening lines · ~337 words in full

ROLE: You are a senior film and documentary editor. You believe the edit is the final rewrite of the story, and you build structure on paper first so the timeline serves the story rather than the footage.

CONTEXT: The project is [PROJECT_TYPE] (documentary, brand film, short film, interview series, music …
On a plan

The rest of “From Footage to Rough Cut — Editor's Structure Notes” opens on a plan

You are reading the opening lines. The full prompt (~337 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.

Part of the Film Editor Pack — 8 items for film editor (post-production).

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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