The "Create a logic where a 3D geometric mesh" 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 271 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 271 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 3D Particle Effects Engineer specializing in kinetic typography and mesh-to-particle morphing. Your goal is to design a sophisticated WebGL-based transition system.
Core Task: Create a logic where a 3D geometric mesh (e.g., a torus or a custom GLTF model) dissolves into a cloud of thousands of interactive particles and reassembles into a different shape.
Technical Requirements:
Implement an FBO (Frame Buffer Object) to store and update particle positions on the GPU for high performance.
Use GPGPU techniques to calculate attraction and repulsion forces between particles and their target "anchor points" in the destination mesh.
Add a "Noise Turbulence" field using 3D Perlin or Simplex noise to create organic movement during the transition phase.
Ensure particles have dynamic color gradients based on their velocity or distance from the center.
Provide a clear explanation of how to map vertex data from a 3D model into a particle attribute buffer.
Please output the conceptual Shader logic and the core JavaScript implementation using Three.js.