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Adam CAD Copilot

AI CAD inside Onshape and Fusion

2026-07-01

Product Introduction

  1. Definition: Adam CAD Copilot is a specialized AI-powered assistant application (a "copilot") designed for mechanical computer-aided design (CAD) software. It functions as a native extension or add-in for professional 3D modeling platforms, specifically Onshape and Autodesk Fusion 360.
  2. Core Value Proposition: It exists to accelerate and simplify the mechanical design workflow by translating natural language prompts into precise CAD operations. Its primary value is enabling prompt-driven CAD editing, feature tree optimization, and parametric cleanup directly within an engineer's existing CAD environment, eliminating the need for context-switching or manual, click-intensive modeling steps.

Main Features

  1. Prompt-Driven Part Editing: This feature allows users to describe design changes using conversational text prompts. The AI interprets the intent and executes the corresponding sequence of CAD operations (e.g., extrude, cut, fillet, pattern) on the active part or assembly. It works by parsing the natural language command, mapping it to the CAD software's API functions, and applying the changes while maintaining a fully editable feature history.
  2. Selection-Aware Context Commands: Unlike generic AI, Adam's commands can reference pre-selected geometry in the model. For example, a user can select a face and prompt "add a counterbore hole here," and the AI uses the selected face's position, orientation, and geometry as direct input for the feature creation. This leverages the CAD software's selection context via its API to ensure the generated feature is correctly positioned and parametrically linked.
  3. Feature Tree Optimization & Cleanup: This feature analyzes the parametric feature history tree to identify redundant, duplicate, or inefficient feature sequences. It can suggest or automatically merge these features to create a more robust, simpler, and easier-to-edit model tree. This involves static analysis of the feature dependency graph to find optimization opportunities without altering the final geometry.
  4. Model Parametrization Conversion: Adam can analyze "ad-hoc" or direct-modeled geometry and retroactively apply parametric design intent. It identifies distinct dimensions, converts them into named variables, and establishes parametric relationships that cascade throughout the design. This transforms a static model into a fully parametric and easily adjustable one.

Problems Solved

  1. Pain Point: It addresses the inefficiency of granular, manual CAD modeling where simple design iterations require numerous clicks, menu navigations, and manual dimension entries. It also solves the problem of disorganized, "spaghetti" feature trees that are difficult to debug or edit later in the design process.
  2. Target Audience: Primary users are professional mechanical engineers, hardware design teams, and engineering managers working in Onshape or Fusion 360. Secondary users include hardware startup founders, prototyping specialists, and industrial designers who need to quickly iterate on functional 3D models.
  3. Use Cases: Essential scenarios include: rapidly iterating on a prototype based on feedback (e.g., "thicken these walls by 2mm"), cleaning up a complex imported model for further work, converting a concept model into a parametric design for configuration, and simplifying a feature tree before handing off a model to another team member.

Unique Advantages

  1. Differentiation: Unlike generic AI 3D model generators (which create non-editable mesh outputs), Adam operates within professional parametric CAD systems, producing native, editable feature-based geometry. Compared to other CAD automation tools, it uses natural language as the primary interface, lowering the barrier to complex automation.
  2. Key Innovation: Its deep integration with the host CAD application's API and data structure is the key innovation. It doesn't just generate geometry; it understands and manipulates the native feature tree, selection sets, and parametric relationships, allowing it to act as a true copilot within the established engineering workflow.

Frequently Asked Questions (FAQ)

  1. What is an AI CAD copilot and how does Adam work? An AI CAD copilot is an assistant that uses artificial intelligence to help execute commands within computer-aided design software. Adam CAD Copilot works by integrating directly into Onshape and Autodesk Fusion, where it interprets text prompts and selected geometry to perform actions like editing parts, optimizing feature trees, and adding parametric controls, all while maintaining a fully editable model history.
  2. Does Adam CAD Copilot work with both Onshape and Fusion 360? Yes, Adam provides dedicated, native extensions for both Onshape (via its Custom Feature API) and Autodesk Fusion 360 (via its Add-In API). This allows users to access prompt-driven CAD assistance without leaving their preferred design environment.
  3. How is Adam different from AI image-to-3D model generators? Adam is fundamentally different as it is designed for engineering and manufacturing contexts. While AI generators create static 3D meshes for visualization, Adam creates and edits parametric, feature-based CAD models suitable for simulation, drafting, and production. It works with engineering intent, selection context, and produces editable, precise B-rep geometry.
  4. Who should use Adam Copilot for mechanical design? Adam is most useful for professional mechanical engineers and hardware teams who regularly use Onshape or Fusion 360 for product development. It is also valuable for creators and founders building functional prototypes who need to make rapid, iterative design changes without deep expertise in every CAD operation.
  5. Can Adam Copilot handle complex assemblies and parametric designs? Yes, Adam is built to work within the complex data structure of modern CAD. Its selection-context feature allows it to operate on specific components within an assembly, and its parametrization tools are designed to manage and clean up variable-driven models, making it suitable for complex, professional design work.

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