22d • 🛠️ Show Your Work
I Didn’t Know How to Make a 3D Model—So I Built an ICM Pipeline That Does It for Me
I just completed my first successful real-world 3D print using an ICM-based production pipeline I built—and the part actually works.
What makes this interesting is that, before starting this project, I did not even know how to create a 3D model or print file.
I started by researching the process and having AI help me build a detailed brief for how a proper 3D-print development workflow should operate. Then I used that brief to create an ICM pipeline that could take an idea from initial concept through modeling, validation, testing, and final print preparation.
My first run was a test case. It worked, but it exposed a major inefficiency.
The pipeline was completing measurements, geometry validation, design refinement, and several other expensive steps before showing me a visual representation of the object. Once I finally saw the design, I would notice something I wanted to change and have to send the project backward through multiple stages.
That meant repeating expensive work and burning a huge number of tokens.
So I asked the pipeline to analyze and redesign itself.
It restructured the process so that an early visual concept is now presented before the expensive engineering and validation work begins. I can review the object, suggest design changes, and approve the general direction before it spends tokens finalizing measurements, geometry, strength, and printability.
That one workflow change produced a significant reduction in token usage.
For the first real project, I needed a replacement pole cap for my trampoline. I took a picture of one of the remaining caps, described what I needed, and let the pipeline handle the rest.
It:
- Interpreted the reference image
- Developed the specifications
- Created the model
- Presented an early visual for review
- Incorporated my revisions
- Ran geometry and measurement checks
- Evaluated strength and printability
- Prepared the final print file
All I had to do was explain what I wanted, look at the visuals, request a few tweaks, and tell it to get the model ready to print.
The result was a functional replacement part for my house.
To be transparent, it is still expensive for a relatively simple model. Developing a complete print file with revisions can consume most or all of a Claude or Codex session limit.
But the value comparison is not really “How many tokens did this small plastic part require?”
The comparison is this:
Without the pipeline, I would have spent days figuring out where to begin. I likely would have gone through multiple failed designs and prints while spending hours learning CAD, drafting the object, adjusting tolerances, and troubleshooting the result.
Instead, I created a working custom part in less than an hour.
More importantly, I did not just create one trampoline cap. I created a repeatable capability.
Now, whenever I need a household part, tool, toy, attachment, or custom object, I can run the same pipeline again.
That is what I am starting to understand about ICM: the biggest payoff is not the first output.
It is turning something you do not know how to do into a system you can use repeatedly.
9
13 comments
I Didn’t Know How to Make a 3D Model—So I Built an ICM Pipeline That Does It for Me
skool.com/cliefnotes
What we give away free beats most paid courses. Build durable AI systems with a Marine vet and Edinburgh researcher. 40+ lessons, growing.
Leaderboard (30-day)
1
🔥
+1710
2
🔥
+1537
3
🔥
+1437
4
+952
5
+873
Powered by