The "Realistic Amateur Phone Photo with WhatsApp Chat" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 288 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 288 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
Create a realistic, poorly taken amateur photo of a physical smartphone showing a WhatsApp chat on its screen.
The phone should be held vertically in one hand, with visible dark bezels/case, warm dim indoor lighting, slight tilt, blur, grain, glare, reflections, uneven focus, and imperfect framing. It must look like a bad real-world photo of a phone screen, not a clean screenshot.
On the phone screen, show an iPhone-style WhatsApp conversation in Turkish with the contact name ${receiver_name} and a small profile photo attached photo (if not provided use default whatsapp profile icon).
Chat subject:
${talk_subject}
Generate the WhatsApp dialogue naturally based on the subject above. The contact’s messages should be in ${language_name:Turkish} language and ${talk_style} (e.g. broken ${language_name:Turkish} with typos and awkward wording. My messages should be correct ${language_name:Turkish} with no typos). Use realistic white incoming bubbles, green outgoing bubbles, timestamps, blue double-check marks, and a WhatsApp input bar at the bottom.
Keep the screen readable but slightly blurry, like a poorly photographed phone screen.