AI Products / 2026
Chamfer
Chamfer creates parametric CAD models from a text prompt or reference image, checks dimensions and features, and exports the result for CAD or fabrication workflows.
What Chamfer does
A rendered image does not reveal every CAD error. A model may still contain the wrong dimensions, missing holes, or invalid geometry when it is exported.
Chamfer converts a request into a plan, writes build123d code or operates Autodesk Fusion, and executes the result in a geometry engine. Before export, it checks the model against the requested dimensions and features.
Generation and inspection
The agent works through a small set of CAD-specific tools. It can retrieve relevant documentation, load task-specific CAD instructions, inspect the current model, and revise its plan. Long sessions retain the requirements, current plan, and latest verification state when older conversation history is compacted.
For image-based requests, the agent tracks every reference image and compares each one with the latest rendered views. The geometry engine checks body count, dimensions, holes, and feature presence. Rendered views are used for shape and appearance checks that the geometry engine cannot determine directly.
Evaluation and local use
The evaluation suite runs the same parts through multiple agents and validates their exported geometry. It records correctness, tool calls, context use, output, cost, and wall time so changes to prompts and tools can be compared against a fixed baseline.
When launched with npx chamfer, conversations, CAD execution, and geometry remain on the user’s computer. The user selects a model provider, inspects the finished model in the browser, and exports it for later CAD or fabrication work.
