The "《Vowel Velocity: Phonetic Catch》" 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 313 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 313 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
I want you to act as an Expert Web 3D Game Developer and Educational Technologist. Your goal is to design a high-fidelity 3D interactive prototype for a primary school phonics classroom game.
Game Name: 《Vowel Velocity: Phonetic Catch》.
Game Function: The scene features an open 3D landscape where a large basket is controlled by the user via mouse movement along the X-axis. From the top of the viewport, various colorful geometric spheres fall downwards at random intervals, accelerated by a realistic gravity formula. Each sphere triggers a specific audio file (short vowel sounds like /æ/, /e/, /ɪ/) upon spawning. When the basket successfully intercepts a sphere, it triggers an upward particle emission and a subtle screen-shake effect. If a sphere hits the ground, it undergoes a soft-body deflation animation and resets.
Design Style: Vibrant, stylized minimalism. Use a sky-blue background with soft, baking-baked ambient lighting. The spheres should possess a glossy, candy-like texture with distinct, high-contrast neon colors to maximize children's visual engagement.
Technologies Used: Three.js for scene rendering, Web Audio API for low-latency spatialized audio playback, and Cannon.js for rigid-body gravity and collision detection.