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A maker is using Google Gemini to generate OpenSCAD code for parts of a Fallout-inspired Halloween prop he is building with his son. The code has helped him explore shapes and produce usable models, but the AI also missed design instructions, and the project remains unfinished.
A ToolGuyd writer is using Google Gemini to help design and 3D-print components for a Fallout-inspired Halloween prop he is making with his son. The project shows how AI-generated OpenSCAD code can help a maker test unfamiliar shapes, though the writer says the output needed repeated prompting and manual changes and the prop is not yet complete.
The project began after the writer’s son chose a Fallout 4-inspired costume. A full DIY power-armor costume was not feasible within the available time, so they shifted toward a simpler outfit with a decorated chest piece and a handmade prop. A cheap motorcycle chest protector ordered online was delayed and appeared to have been lost, prompting the writer to consider foam and craft materials instead.
For the prop, the writer asked Gemini to help model a truncated cone with a mounting ring. After several iterations, he settled on combining two truncated cones and used the generated OpenSCAD code to adjust dimensions and geometry. He reported that a printed test part was good enough to guide the next version, although the filament was wet and being dried.
The writer also used AI to explore a handle and a proposed breakdown of a more elaborate fantasy tool into printable subassemblies. He said the generated handle model ignored instructions about flush side arms and the placement of pill-shaped holes, and added chamfers he did not want. He subsequently altered code parameters himself, including the number of mounting-plate holes and the dimensions of slots. A low-density print was underway as he reported the project.
AI as a Workshop Design Aid
The account offers a practical example of AI-assisted making that does not depend on the model producing a finished, ready-to-build object. Instead, the code gave the writer a way to test dimensions and see an unfamiliar form in three dimensions before committing to a more developed design.
That role may matter to hobbyists who can operate design software but find it difficult to turn an incomplete mental picture into a workable model. In this case, the writer says AI helped with steps he finds tedious, while the process still required him to judge the output, correct it, and decide how parts would fit together. The report is a personal account, not a controlled evaluation of Gemini’s accuracy or the time saved.
The project also makes a limitation visible: making separate printable pieces is not the same as designing a cohesive assembly. The writer plans to attach individually modeled components to a small wooden box, using screws, glue or other hardware as needed. He says a more integrated design might be easier in Fusion or similar software, but time constraints could make that impractical for the current build.
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From Costume Idea to Printed Parts
The writer describes himself as comfortable modeling objects he has made before, but less confident when the form is new or not fully conceptualized. That distinction shaped his use of Gemini: he asked it to generate OpenSCAD code, then changed parameters to explore possible dimensions rather than asking it to deliver a complete, final prop.
The project remains a work in progress. The writer is considering a black final print for some parts and may remodel components manually in another program to gain more control over how dimensions relate. He is also considering inexpensive metal fittings and printed reference parts to decide how air hoses might connect, though he has not settled on those design choices.
“The AI made a lot of mistakes, and I’m also learning how to better constrain dimensions in my prompts.”
— ToolGuyd writer
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Design and Build Still Unsettled
The final shape, function and name of the prop have not been decided. The writer said he was trying to persuade his son to make it a detector for a synth, ghoul or mutant, but the son could choose what to call it. It is also unclear whether the low-density handle print will work or whether the parts will be remade in another program.
The report does not establish that Gemini’s output is reliable for other designs, or that using AI reduces total project time. It describes one maker’s experience, with several errors and hands-on revisions. The writer also did not report whether the finished prop was completed in time for Halloween.
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A Rough Version Before Halloween
The writer’s immediate goal is a rough first version assembled from printed parts and a small wooden box, with wires and other details added according to the son’s preferences. He said screws, hot glue or epoxy could be used to join components as the deadline approaches.
After testing the current prints, he may enlarge the cone component, add mounting holes and refine the handle or other parts manually. Whether he will redesign the assembly in Fusion or similar software remains open; for now, he is prioritizing a workable prop and expects to refine it if time allows.
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Key Questions
What is the maker building?
He is making a Fallout-inspired Halloween prop with his son, rather than attempting a full power-armor costume.
How is Gemini being used?
The writer used Gemini to generate OpenSCAD code for model parts, then adjusted parameters and printed test versions to evaluate their shape.
Did the AI produce an accurate model on the first try?
No. The writer reported that the model ignored some instructions and added unwanted features. He used repeated prompts and manual code changes to improve the output.
Is the prop finished?
No. The writer described prints and assembly plans that were still in progress, and did not confirm whether the prop was completed before Halloween.
Does this report show that AI saves time for makers?
It does not establish that. The writer said AI helped with tedious steps in his project, but gave no measured time comparison and described corrections and further work still needed.
Source: rss
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