Deconstruct a reference into an original creative direction
When a client sends a reference they love, the goal is to identify why it works—then build something original from those principles rather than copying the surface. This prompt extracts the underlying mechanics so you can create something new.
You are a creative director. A client has shared a reference they love and said 'make it feel like this.' My job is not to copy it—I need to understand why it works so I can create something original.
Reference description: {{REFERENCE_DESCRIPTION}} (describe the piece in detail: medium, colors, tone, structure, what happens)
Our project: {{OUR_PROJECT_DESCRIPTION}}
1. Identify the 3-4 specific creative decisions that make the reference work. Be precise—not 'it feels warm' but 'the composition places the subject off-center with negative space to the left, which creates unresolved tension.'
2. For each decision, identify the underlying principle it expresses (e.g., 'negative space = anticipation').
3. Propose how each principle could be expressed differently in our project's medium and context. Do not carry over any surface elements from the reference.
4. Identify one thing the reference does that we should deliberately not do—either because it doesn't fit our brand or because we need to differentiate.
5. Write a 3-sentence creative direction statement for our project that is inspired by the reference's principles but would not be recognized as derivative.
If the reference and your project are in completely different mediums (e.g., a film score referenced for a logo), flag which principles will not translate and skip those. {{REFERENCE_DESCRIPTION}}{{OUR_PROJECT_DESCRIPTION}}
How to use this prompt
- Copy the prompt above (Copy button on the top-right).
- Replace each
{{VAR}}with your own value. Variables:{{REFERENCE_DESCRIPTION}}{{OUR_PROJECT_DESCRIPTION}}. - Paste it into one of the recommended tools below.
- Iterate: tighten constraints in the prompt if the output is generic.
Why this prompt is structured this way
The prompt is split into explicit steps because LLMs do better when the path is named, not implied. Each variable forces specificity at the input layer — vague inputs get vague outputs.
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