The "《Syllabic Beats: Pulse Runner》" 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 a Principal Audio-Visual Game Engineer. Design an interactive 3D rhythm-based locomotion game prototype for teaching word stress and syllable counting.
Game Name: 《Syllabic Beats: Pulse Runner》.
Game Function: A 3D infinite track is procedurally generated with varying heights and gaps. A metallic sphere automatically rolls forward along the track. The user clicks or taps the screen to make the sphere jump over the gaps. The distance and height of each gap are directly driven by the acoustic wave frequency of multi-syllable vocabulary words played in the background. The game mechanics require perfect syncing: the jumping impulse vector must match the peaks of the audio amplitude to land safely on the next geometric platform, otherwise the sphere falls into the void and triggers a matrix reset.
Design Style: Vaporwave aesthetic. Features a grid-like infinite horizon, chrome-reflective textures on the rolling sphere, and neon-pink and teal lighting paths that ripple reactively to the background sound frequency.
Technologies Used: Three.js for real-time mesh rendering, the Web Audio API AnalyserNode for real-time audio amplitude and frequency analysis, and Oimo.js for lightweight, low-latency collision tracking.