Toward Invisible CAM: Why the Future of Making Demands the Disappearance of Manufacturing Complexity
Published: Saturday, May 30, 2026
Author: Daniel Patterson



Since the rise of document printers, and reinforced even more by the emergence of 3D printers, users have grown to expect, and rightly so, that they should not be required to concern themselves with the internal mechanics of how a machine manifests a physical object from a design. All of that procedural nonsense should be handled directly by the machine, or at least by a machine‑level driver capable of converting human ideas into physical artifacts without demanding human intervention. After all, I supplied the document; it is therefore the machine's responsibility to do the rest.

Since the early 1980s, when everything we now refer to as CAD/CAM was still in its infancy, I have been part of a small group of people who have fiercely believed that the only purpose of computers, along with all other machines, was to make life more prosperous by allowing individual people to become faster, stronger, and more effective on their own. You could say that our group subscribed to what had by then become known as the Steve Jobs philosophy of personal computing: that individual people should be enabled to rise up and become autonomous from the system, rather than remain subject to it any longer. That topic alone could easily be a conversation for another day.

Meanwhile, as the CAD industry matured around us, heavy‑handed software design became the norm, and most of it was proprietary. Some of those developments were intended to keep competitors out; others were deliberate attempts to enforce homogeneity of process among the masses. And because the public rarely challenged these decisions, those early constraints gradually hardened into today's generally accepted practices of design and manufacturing.

The problem was that although the user base accepted and adapted to the various processes, many of those were never effective or personally liberating, even at the start. I remember raising this point repeatedly at user‑group meetings or whenever I encountered someone developing mainstream-style CAM. I argued that the human expectation for this technology was far closer to Completely Automated Manufacturing than to either of the twin terms of the time: "Computer Assisted Manufacturing" or the more permanently accepted "Computer Aided Manufacturing." The difference was neither subtle nor nuanced. It was glaring. And yet, even though automation development engineers might understand the system was present at all times, no normal human should ever have to see it, let alone wade through it for countless hours, adding operations, creating and verifying toolpaths, manually backtracking, setting feeds and speeds, and repeating the entire ritual after every revision before finally being allowed to print their object.



The CAD Bottleneck: How a Single Design Paradigm Has Held CAM Hostage

I'll take a further look now into the main dimension of this problem, one that is rarely discussed but sits at the very heart of why CAM has remained so stubbornly archaic.

The way CAM is currently done only supports one type of CAD software for users, which could fairly be called the AutoCAD‑style of design, which became the de-facto standard of the manufacturing industry long before anyone had the opportunity to question whether it should be.

This approach treats every object as an abstract solid, and the designer’s job is to use parametric functions to create one single part at a time. Assemblies can be constructed, of course, but the overall design philosophy is distinctly bottom‑up and consists of the steps: build a primitive part, then another primitive part, then another, and eventually stack them together into something resembling an assembly of parts.

Editing applications that use this approach can typically output a mesh, but mainstream CAM doesn't support mesh‑based workflows in any meaningful way, and those applications that can handle STL import, for example, still require up to hours of human configuration before the toolpaths can be output to the selected machine. And because of that, mainstream CAM is fundamentally incompatible with the most correct, most universal, and most democratized form of object representation ever devised.



The AutoCAD‑Style Paradigm Was Never Designed for Extreme Human Creativity

I would like to formally postulate that the AutoCAD‑style workflow was built for drafting offices, where every line or shape is inventoried and reviewed with a fine-tooth comb, and not for makers, who are more likely to throw some scribbles on a napkin and go out to the shop to make it real. This is not to say that a parametric workflow doesn't have a place in the universal designer's toolbox, but just that it is definitely not the fastest or easiest way to get things done when every minute counts.

Parametric 3D CAD systems assume all of the following points.



This is not how I, as a human, think or create, and is certainly not how I imagine. In my own personal view, I don't really care whether a part exists or not until I get to the point where I need it. At that point, if it doesn't already exist, then I will need to create it. Otherwise, I am most likely to use a pre-made part and keep going on the system I'm actually trying to finish. Of course, what I am referring to here is top-down design, which I'll discuss shortly.



CAM’s Dependence on Parametric Solids Is a Historical Accident

3D CAM developers built their systems around parametric solids because that was the only data they were given. They didn't choose this paradigm because it was superior. They chose it because it was available as a de-facto standard. And once chosen, it became entrenched.

The result is a CAM ecosystem that matches all of the following points.



None of this is a limitation of machines, but a limitation of developer imagination.



The Blender‑Style Paradigm: A More Human and More Natural Way to Design

On the other side of the spectrum lies an entirely different approach to design, which is far more aligned with how humans naturally think and create. This is what I would refer to as the Blender‑style of design, though many tools preceded it, many are easy to use, and many others follow this general lineage.

This approach is top‑down. It begins with the world, not the part. It allows the designer to perform any of the following activities.



This process doesn't just represent a different workflow, but a different philosophy from the manufacturing industry's current general approach to CAD/CAM.



Blender‑Style Design can Mirror Human Thought

Humans don't imagine parts in isolation. They imagine scenes, relationships, and objects in context. Blender‑style design honors this natural mode of thinking.

Additionally, the so-called Blender-Style of design is not necessarily limited to working in Blender. In 5 minutes, I can easily create a 2D file in Inkscape, extrude it in OpenSCAD with additional face-specific features using CSG, and import it into a Blender world for use in a much larger design.

Complex multi-system parts from scratch in 5 minutes aren't really a known capability within the parametric CAD world, except among a few top talents whose personal capabilities are just mind-blowing in any setting.



Meshes Are the Universal Language of 3D

Meshes aren't a compromise, as the traditional CAD developers would have had you believe as recently as the early 2000s. They are the most literal representation of 3D geometry devised until now.

Mesh-based objects have the following qualities.



Yet, mainstream CAM still treats meshes as second‑class citizens, or worse, as unrecognized foreign objects.



The Resistance to Mesh‑Based CAM Is Purely Philosophical

I would propose that mainstream CAD/CAM developers don't dislike the Blender‑style design because it is inferior, but rather because it threatens them with the likelihood that they have been doing it wildly wrong this entire time, which, of course, they have.



CAM Layer Slicing Is a Solved Problem

There is a persistent belief in the traditional CAM community that toolpath generation is an inherently complex, fragile, and semi‑mystical process that requires human supervision. This belief is not only incorrect, but is contradicted daily by millions of machines sitting on the desks of ordinary people around the world.

3D printers, which are, in every meaningful sense, additive CNC machines, perform fully automated CAM on every job. They slice geometry into layers, generate toolpaths, compute extrusion rates, manage travel moves, and output the same G‑code you would send to your router without ever asking the user to intervene.

The algorithms that make this possible aren't experimental any longer, either, nor are they proprietary or fragile. They are well‑understood, mathematically sound, and widely implemented.



Additive Manufacturing Already Performs Automated CAM at Scale

Every time a user loads an STL file into a 3D printer slicer, the following things happen automatically.



All of this occurs without the user manipulating any operations, strategies, or toolpaths, although they are usually allowed to override very detailed settings for various specific cases.



A 3D Printer Is Just a CNC Machine

The irony to this tension is that 3D printing and CNC routing both use unaltered versions of the same fundamental language, G‑code.



As you can see, the applications are nothing but exact mirror images of each other.



CNC Routers Can Be as Intuitive as 3D Printers

There is absolutely nothing preventing CNC routers, mills, lathes, plasma cutters, waterjets, or any other CNC machine from being as intuitive to use as a 3D printer because the barrier isn't technical, it's cultural.



Subtractive CAM Could Adopt Slicing Algorithms Tomorrow

The algorithms used in slicing, like contour detection, offsetting, polygon decomposition, adaptive layer generation, and path optimization, are also directly applicable to subtractive machining.

Invisible CAM removes the manual layers and lets the algorithms do their job.



The Solution: Principles of an Invisible CAM

If we take the expectations of normal humans seriously, then CAM should not just be partially hidden or even highly simplified, but it should be completely invisible, which is achievable from a practical standpoint when based upon several principles.



Machine Configuration Should Only Happen Once Instead of Every Time

The first and most essential principle is that a machine should be configured a single time. This isn't a radical idea, but simply the way every other device in a user's life already works.

When you install a printer, a monitor, or a Bluetooth device, you configure it once, and the expectation is universal: once a machine is known, it stays known. CAM, and any machine driven by that functionality, should be no different.



Machine Selection Should Be as Simple as Choosing a Printer

If multiple machines are available, selecting one should be no more complex than choosing a destination printer. The user shouldn't be forced to re‑declare the nature of the machine, its axes, its travel limits, its kinematics, or its capabilities every time they want to make something.



Raw Stock Dimensions Should Be the Only Per‑Job Input

When raw stock is placed on the machine bed, the user should expect to enter its dimensions for each job, just as a printer might ask for paper size. This is the only per‑job variable that truly belongs to the user. Everything else should already be known.



A Local Tool Database Should Contain Every Detail the Machine Needs

This is where the real power of invisible CAM emerges. Every tool that might be used on any supported machine should be stored in a small, local database, with each record containing the complete definition of that tool per known material.

Properties like the following, among many others should follow each specific tool.



With these parameters defined in a steady state, the CAM engine can know intuitively what to do with each part on each machine, without any human babysitting.



The Nature of the Part Is Already Known by Its Design

Whether loading a simple 2D part to cut profiles from sheet stock or a complex 3D part for additive or subtractive processes, the nature of the part is fully described by its design. Nothing is left to the imagination.



2D Parts Are Self‑Explanatory

For example, if I load a 2D drawing onto a CNC router, it's obvious that the edges and holes are to be cut out. There is no need for a human to manually declare that edges are edges or that holes are holes.



3D Printers Already Behave the Way CAM Should

If I load that same 2D design into a 3D printer, it is equally obvious that the filled areas must be built up from scratch, with only an extrusion height needed from the user before beginning the job. This is the closest thing we have today to invisible CAM, and it is no coincidence that 3D printing is the most democratized form of manufacturing created so far.



3D Parts Contain All the Information Needed

For 3D parts, all three dimensions are known the moment the file is loaded. In most cases, only the object being machined is present in the file, and it should take no more than one or two prompts to locate that object within the raw stock dimensions already provided.

The CAM engine shouldn't ask the user to identify faces, choose strategies, or define machining regions. The part already contains all of that information. The system simply needs to read it and analyze the necessary work from the combination of the stock area and supplied object.



The User's Intention Should Match the Available Activity

Users already know what they want. Those go something like the entries in the following list.



Although many are capable, users don't always prefer to think in any of the following terms, as they apply to getting a design out into the real world.



These are the unwanted artifacts of historical software design, not those of the intentions of physical object designers. The idea of an invisible CAM aligns the system with the user's mental model, over the software developer's status quo.



Automation Should Be the Default State of Operation

Today's CAM systems often behave as if automation is a privilege earned only after the user has paid their dues or proven their expertise. But we live in an advanced society and automation should be the default state for everyone. Manual intervention should be the exception, and only when it is desired by the user.

Implementing an invisible CAM provides the following results.



Of course, a good system would also provide user-level overrides to each of the above features, especially simulation and post-processing, so they can easily be interacted with whenever desired. Other than that, the system should simply do the right thing.



Revision Should Be Effortless

One of the most painful aspects of traditional CAM is that every revision forces the user to repeat the entire ritual.



An invisible CAM would eliminate these entirely. A revision to the source document shouldn't ever be any more disruptive than editing a written document before printing it.



The Future: A CAM That Disappears Entirely

With only a few changes to the philosophy of what Computer Aided Manufacturing is supposed to be from a user expectation standpoint, including the changes described above, people will never again have to memorize a long sequence of steps just to bring an object into the real world.

CAM can and should become both transparent and invisible. And when it does, architects, engineers, designers, and makers at every level of experience will finally be free to do what they set out to do in the first place, which is to get busy making things.