Functional smart devices using Gemini 4 Argon and Google Antigravity
Summary
This video demonstrates how the makers used Gemini 4 and Google Antigravity to rapidly prototype a functional 'Surf Clock'—a physical device that displays local surf conditions. The process showcased an end-to-end, AI-assisted workflow, moving from initial conceptual sketches (targeting a retro 60s design) to generating 3D models, writing custom firmware, and even producing an assembly video guide. The project was completed in three days with minimal material cost.
Key takeaways
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AI-Driven Design Iteration
Gemini 4 was used to explore multiple design concepts and refine the physical object, focusing on simplicity and modularity (e.g., snap-together parts and extruding letters to eliminate painting).
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Automated 3D Modeling and Engineering
The AI utilized tools like Blender, Python, and OpenSCAD to generate the complete 3D files for the device, including housing areas for easy assembly.
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Full-Stack Functionality
The process extended beyond physical design, involving the writing of custom software and firmware to pull live ocean data and manage complex concepts like bathymetry.
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Assembly and Documentation
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Gemini 4 was capable of generating a detailed, instructional video guide for the final assembly of the complex hardware.
Technical details
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AI Tools and Platforms
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Gemini 4 and Google Antigravity were the primary tools used to guide the entire build process, from conceptual design to final assembly instructions.
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Modeling and Scripting
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The 3D modeling phase leveraged a mix of professional tools, including Blender, Python, and OpenSCAD, with Gemini 4 reportedly controlling these tools programmatically.
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Hardware and Firmware
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The project required sourcing specific electronics, including controllers and stepper motors, and writing custom firmware to process live ocean data.
Mentioned resources
Channel & topics
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