Note: This article is written and published in Ukrainian and is a translated version of the original published here.
Intro
The Autodesk Inventor 2027 version has an AI Assistant — a tool that changes the approach to working with parametric models.
Unlike classical methods, where interaction occurs through the program interface (dialog boxes, parameters, iLogic forms), AI allows you to work with the model through text commands. This greatly simplifies the performance of typical tasks and speeds up the process of making changes.
This is especially noticeable when working with parameters: instead of searching for the desired parameter in the list, it is enough to formulate a command.
At the same time, it is important to understand that AI does not replace the parametric model, but works on top of it, using already created dependencies.
This article shows a practical workflow that combines:
- Parametric approach
- AI Assistant as an interface
- iLogic for automation
The article uses a simple example (case + cover), which allows you to clearly show the principles of working with parameters and their transfer between components.
1. Create parameters in a blank part
At the first stage, a new part is created without geometry.
Instead of the classic creation of parameters through the Parameters window, AI Assistant is used. Parameters are set by text command and automatically added to the model.
This allows you to set the basic structure of the model much faster, especially when there are many parameters.
The following parameters were created:
- W1 — width
- H1 — height
- L1 — depth
- T1 — thickness
- L2, L3, L4 — auxiliary
The key point is that AI works correctly with the Ukrainian language. This allows you to formulate commands naturally, without having to switch to English.
In fact, AI acts as a quick interface to create a parametric model base.
After creating the parameters, the basic geometry of the part is built using the specified values.
2. Model control in detail via AI
After creating the parameters, the model is built.
Further, the change in geometry occurs due to a change in parameters with the help of AI.
It is important that:
- The model is rebuilt automatically
- No additional rules are required
- There is no need to open the parameter table
This changes the very approach to work — instead of editing the model, the user works with parameters through text.
AI in this case acts as quick access to the parametric structure.
This is especially effective when:
- frequent changes in size
- checking options
- working with basic geometry
3. Build control via AI
At the build level, AI shows even wider possibilities.
In addition to parameters, you can control:
- component states
- visual properties
- configurations
This allows you to use AI not only for modeling, but also for quick verification of design options.
In fact, AI acts as an all-in-one build management interface.
4. Parameter transfer between parts
Passing parameters between parts is one of the most practical scenarios.
In the classical approach, it takes longer (copying, verifying, linking).
AI allows you to do this much faster.
This gives:
- a single system of parameters
- coherence of geometry
- reduced errors
The addition of a lid shows how one parametric structure can be reused.
5. Moving parameters to the build tier
Transferring parameters to the assembly is a key step.
This is where the model goes into a full-fledged top-down approach.
This allows:
- control the entire structure from one place
- quickly change dimensions
- control dependencies
AI in this case works as an interface to a central parametric system.
6. Integration with iLogic
At this stage, the limitation of AI manifests itself.
AI changes parameters, but does not run iLogic rules automatically.
As a result:
- parameters are changed
- but the model is not always fully updated
To solve this, a parameter synchronization rule was created and Event Triggers were configured:
- Any User Parameter Change
After that:
- AI changes the parameter
- the rule runs automatically
- the model is completely updated
This allows you to achieve a fully automatic workflow.
7. Comparison with the classical approach
For comparison, a project implemented through iLogic and forms was used.
The classical approach provides:
- high stability
- clear structure
- efficiency in complex dependencies
It is especially useful when working with large or repetitive tasks.
AI, in turn, greatly simplifies interaction and speeds up change.
Below is an example of implementing the classic approach through iLogic and forms:
Conclusion
AI Assistant in Autodesk Inventor is not just a new feature, but a new tier of interaction with the parametric model.
It does not change the principles of modeling, but it greatly simplifies access to them.
The greatest effectiveness is given by the combination:
- parametric approach
- iLogic
- AI as an interface
This approach allows:
- work faster
- reduce errors
- increase model flexibility
AI in this case does not act as a replacement for tools, but as their logical continuation.
Thus, AI Assistant can be considered as a new tier of interaction with the CAD system, where the user does not work with the tools directly, but through the logic and parameters of the model.
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