The "《Semantic Pull: Word Family Grid》" 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 319 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 319 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 Master Game Designer specializing in immersive educational mechanics. Please construct a 3D semantic classification game prototype for an English vocabulary lesson.
Game Name: 《Semantic Pull: Word Family Grid》.
Game Function: The viewport displays three distinct glowing 3D conceptual zones (e.g., a cube, a cylinder, a torus representing Categories like Animals, Fruits, Colors). Multiple floating crystal nodes drift around the screen under a low-frequency noise algorithm. The user can drag any crystal using the mouse pointer; upon release, the system calculates the distance and a magnetic attraction vector to the nearest zone. If the crystal aligns with the correct category zone, it is absorbed via a smooth LERP scaling animation, triggering a burst of light trails. If incorrect, a elastic repulsion vector snaps it back to its origin.
Design Style: Retro-futuristic cyberpunk tailored for kids. Dark background contrasting with highly emissive, translucent neon materials for the category zones and holographic視差 effects inside the crystals.
Technologies Used: Three.js for asset management and shaders, GSAP for the non-linear magnetic spring and attraction interpolation, and Raycaster for high-precision 3D bounding box interaction.