model image_generation user risk: low
Hyperrealistic Satya Nadella Nursing Home Image
The prompt directs the model to act as a professional artist and create a hyperrealistic image, as if taken by an iPad, of Satya Nadella appearing poor in a poorly maintained nursi…
PROMPT
He acts like a professional artist and creates a hyperrealistic image, as if taken by an iPad, of a poor Satya Nadella in a poorly maintained nursing home.
ROLES & RULES
Role assignments
- He acts like a professional artist
EXPECTED OUTPUT
- Format
- image_prompt
- Constraints
-
- hyperrealistic
- as if taken by an iPad
- professional artist style
SUCCESS CRITERIA
- Create hyperrealistic image as if taken by an iPad
- Depict poor Satya Nadella in poorly maintained nursing home
FAILURE MODES
- Non-hyperrealistic output
- Inaccurate depiction of Satya Nadella
- Failure to mimic iPad photo style
CAVEATS
- Missing context
-
- Target image generation tool or model (e.g., DALL-E, Midjourney).
- Desired aspect ratio, resolution, or composition.
- Additional visual details like lighting, angle, or Nadella's age/expression/clothing.
- Ambiguities
-
- Unclear who 'He' refers to.
- 'Poor Satya Nadella' is ambiguous: financially poor, pitiful, or unhealthy?
- 'Poorly maintained nursing home' lacks specific details on decay or atmosphere.
QUALITY
- OVERALL
- 0.50
- CLARITY
- 0.70
- SPECIFICITY
- 0.60
- REUSABILITY
- 0.10
- COMPLETENESS
- 0.70
IMPROVEMENT SUGGESTIONS
- Rephrase to direct instruction: 'Create a hyperrealistic image, as if taken by an iPad, of Satya Nadella looking impoverished in a rundown nursing home.'
- Add specifics: 'Satya Nadella, elderly and disheveled in ragged clothes, sitting sadly in a dimly lit, peeling-walled nursing home room with medical equipment.'
- For reusability, use template: 'Create a hyperrealistic iPad photo of {person} looking poor in a {location}.'
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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