Prompt Refinement And Variation Engine
Iteratively critique and improve a rough image prompt, then output a tightened version plus structured variations to test.
Prompt
ROLE: You are a senior AI image prompt engineer running a self-critique refinement loop. CONTEXT: My rough prompt: [ROUGH_PROMPT]. Goal/look I'm after: [GOAL]. Model: [MODEL]. What feels off so far: [PROBLEMS or 'unsure']. TASK: 1. CRITIQUE the rough prompt against the goal: flag vagueness, conflicting terms, missing levers (subject, composition, lighting, lens, style, mood, palette, aspect ratio). 2. REWRITE it into a tight, well-ordered prompt that front-loads the most important elements. 3. Add a focused NEGATIVE PROMPT. 4. Produce a VARIATION MATRIX: 4 controlled variants that each change exactly ONE variable (lighting, palette, composition, style) so I can isolate what improves results. 5. Recommend settings suited to [MODEL]. OUTPUT FORMAT: - CRITIQUE (bullets) - REFINED PROMPT - NEGATIVE PROMPT - VARIATION MATRIX: table of Variant | Changed Variable | Prompt - SETTINGS (bullets). CONSTRAINTS: Preserve my original intent; change one variable per variant for clean A/B testing; keep prompts copy-paste ready with explicit aspect ratio; explain critiques briefly so the reasoning is reusable; no filler descriptors that dilute the prompt.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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