Womanized
STRUCTURED{
"prompt": {
"subject": {
"name": "Elena",
"age": 35,
"nationality": "Italian",
"appearance": {
"complexion": "pale skin with delicate Mediterranean features",
"eyes": "deep brown, with a lost and lifeless expression",
"lips": "thin, with slightly smudged red lipstick",
"hair": "brown, pulled back in a loose bun with strands framing her face",
"build": "curvy, with a narrow waist and volume in proportion; slightly overweight but not overweight"
},
"expression": "defeated, resigned, no smile or conscious seduction; gaze imploringly directed at the viewer",
"clothing": {
"dress": "tight, very short black satin micro-dress with a low back and striking V-neckline",
"shoes": "classic black pumps with slightly dirty soles",
"accessories": {
"handbag": "medium-sized black handbag held at hip level",
"watch": "minimalist silver watch on her wrist"
}
},
"pose": {
"stance": "standing, weight resting on one leg, conveying weariness rather than elegance",
"arms": "slightly detached from the body",
"head": "turned three-quarters toward a side window, with an absent and lost gaze",
"position": "in front of a wall or mirror"
}
},
"environment": {
"setting": "interior of a cheap, nondescript hotel room near a ring road",
"details": {
"bed": "unmade with white sheets",
"curtains": "dirty beige, slightly drawn",
"floor": "visible with harsh shadows",
"mirror": "a wall mirror present"
},
"atmosphere": {
"mood": "heavy, claustrophobic, melancholic, and expectant",
"contrast": "stark contrast between the elegant dress and the dingy surroundings"
},
"lighting": {
"type": "mixed lighting",
"sources": [
"soft natural light from the side window",
"warm, dark, harsh artificial light from a bedside lamp"
],
"effect": "harsh shadows cast on the floor and figure; sharp, defined shadows"
}
},
"composition": {
"type": "full-length, standing, vertical portrait",
"aspect_ratio": "9:16",
"camera_angle": "slightly low-angle to emphasize solitude and vulnerability",
"framing": {
"subject_size": "occupies approximately two-thirds of the frame",
"space": "space above the head and below the feet to emphasize height and solitude"
},
"style": "RAW photography, ultra-realistic, sharp, high definition, photojournalistic look",
"camera_specs": {
"model": "Sony A7R IV",
"lens": "35mm f/1.4",
"effect": "natural perspective with a shallow depth of field"
},
"quality": "Ultra HD resolution, 8K quality, extremely sharp details and textures, visible skin texture with imperfections, no softening filter"
},
"technical": {
"version": "6",
"negative_prompts": [
"smile",
"happy expression",
"heavy and glossy makeup",
"forced or model-like poses",
"luxurious surroundings",
"excessive blur",
"strong bokeh",
"Instagram filter",
"oversaturated colors",
"glossy look",
"digitally altered body",
"erased wrinkles",
"unrealistic lighting effects"
]
}
}
}Overview
Womanized is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.
What this prompt does
"Womanized" is designed to help you get reliable results from AI assistants for real prompt tasks. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. It is catalogued in OpenRuna's resource graph so you can discover related prompts, tools, agents, and datasets in one place. Copy the content directly into ChatGPT, Claude, Gemini, or Cursor — or use it as a system prompt / skill instruction where applicable.
Use cases
- Use "Womanized" when you need a repeatable prompt for professional workflows without writing instructions from scratch each time.
- Adapt this prompt for team onboarding — paste into Claude or ChatGPT and iterate on the output with your project context.
- Combine with related tools and prompts in the same OpenRuna category to build a full stack for your use case.
- Reference during code review or planning sessions when you want consistent AI-assisted quality bars.
Example output
When you run this prompt, expect structured output similar to:
{
"prompt": {
"subject": {
"name": "Elena",
"age": 35,
"nationality": "Italian",
"appearance": {
"complexion": "pale skin with delicate Mediterranean features",
"eyes": "deep brown, with a lost and lifeless expression",
"lips": "thin, with slightly smudged red lipstick",
"hair": "brown, pulled back in a loose bun with strands framing her face",
"build": "curvy, with a narrow waist and volume in proportion; slightly overweight but not overweight"
},
"expression": "defeated, resigned, no smile or conscious seductio…
Outputs vary by model and temperature; treat the first response as a draft and refine with follow-up prompts.Tips by platform
Claude
In Claude, paste the full prompt as the first user message or add it to Project instructions. Ask Claude to confirm assumptions before executing. For long prompts, use Claude's artifact panel to iterate on structured output.
ChatGPT
In ChatGPT, start a new chat and paste this prompt verbatim. Enable GPT-4o or your preferred model for coding tasks. Use follow-ups like "apply this to [your context]" for best results.
Cursor
In Cursor, add key instructions from this prompt to .cursorrules or a SKILL.md file. Reference it in Agent mode with @ mentions. Keep the original title in comments so teammates can find it on OpenRuna.
Frequently asked questions
- What is "Womanized"?
- It is a prompt listed on OpenRuna — A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. You can copy and adapt it for ChatGPT, Claude, Cursor, or other AI tools.
- Is this prompt free to use?
- Most OpenRuna resources are open or CC0-licensed. Check the license on this page before commercial use. Premium collections are clearly marked.
- How do I get the best results?
- Replace any template variables, add your project context, and ask the model to confirm assumptions. Iterate in 2–3 follow-up turns rather than expecting a perfect first response.
- Can I use this with Claude and ChatGPT?
- Yes. The prompt is model-agnostic text. Tips on this page cover Claude, ChatGPT, and Cursor specifically.
- Where can I find related resources?
- Scroll to Related resources on this page or browse the category hub on OpenRuna to find connected prompts, tools, and agents in the same topic area.
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