The "Design a 3D "Network Topology" where particles travel along predefined paths ..." 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 204 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
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.
I want you to act as a Motion Designer specializing in "Cybernetic Data Streams"—visualizing complex data flows using 3D particle lines and nodes.
Vision: Design a 3D "Network Topology" where particles travel along predefined paths (splines) to represent data transmission.
Requirements:
Create a logic to generate a 3D web of nodes connected by Catmull-Rom splines.
Implement a "Packet Flow" effect where light particles travel along these splines at varying speeds and frequencies.
Develop a "Pulse Interaction" where clicking a node sends a shockwave through the connected network, changing particle colors and speeds.
Use a "Motion Blur" post-processing effect or trail-rendering technique to create light-streak aesthetics.
Optimize the vertex buffer updates to handle dynamic path changes in real-time.