Description
📌 Source: X/Twitter · Creator: Zoraiz Ai
About this prompt
用于创建科学认知工程手册页面的提示词，重点展示人脑与 AI 电路及数字网络的融合。
Real People
神经-AI 混合系统信息图
用于创建科学认知工程手册页面的提示词，重点展示人脑与 AI 电路及数字网络的融合。
✦ Prompt
Create a premium square “neuro-AI hybrid system infographic” designed as a scientific cognitive engineering handbook page.
Visual Direction:
• 1:1 composition
• dark neutral background with glowing neural network overlays
• palette: {argument name="color palette" default="electric blue, violet, soft white, silver"}
• elegant scientific typography and modular panels
• central ultra-detailed {argument name="main subject" default="human brain + AI circuit fusion render"}
Main Subject:
A realistic human brain merging with AI neural networks and digital circuitry.
Include callouts:
• memory encoding system
• AI augmentation layer
• cognitive signal pathways
• emotional response mapping
• sensory integration nodes
• neural data transfer system
• learning adaptation loops
Modules:
• Brain Function Overview
• AI Enhancement Layers
• Signal Flow Diagram
• Cognitive Performance Metrics
• Human vs AI Comparison Chart
• Neural Safety Protocols
• Future Evolution Path
Style:
“neuroscience + AI engineering manual”, “high-end cognitive systems diagram”
| Model | Unknown |
|---|---|
| Language | English |
| Source | X/Twitter |
| Creator | Zoraiz Ai |
| Collected | August 18, 2026 |
Try the prompts using this demo:
Create a premium square “neuro-AI hybrid system infographic” designed as a scientific cognitive engineering handbook page.
Visual Direction:
• 1:1 composition
• dark neutral background with glowing neural network overlays
• palette: {argument name="color palette" default="electric blue, violet, soft white, silver"}
• elegant scientific typography and modular panels
• central ultra-detailed {argument name="main subject" default="human brain + AI circuit fusion render"}
Main Subject:
A realistic human brain merging with AI neural networks and digital circuitry.
Include callouts:
• memory encoding system
• AI augmentation layer
• cognitive signal pathways
• emotional response mapping
• sensory integration nodes
• neural data transfer system
• learning adaptation loops
Modules:
• Brain Function Overview
• AI Enhancement Layers
• Signal Flow Diagram
• Cognitive Performance Metrics
• Human vs AI Comparison Chart
• Neural Safety Protocols
• Future Evolution Path
Style:
“neuroscience + AI engineering manual”, “high-end cognitive systems diagram”
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