Direct answer: An AI agent should create SolidWorks mates from a declared interface relationship—not by guessing convenient faces. It resolves stable component instances and supported geometric references, selects the permitted mate type and alignment, executes the mate through SolidWorks, rebuilds the document and reads the resulting mate state back. Verification checks that the intended components and references are connected and that errors or unresolved states remain visible.
How the controlled workflow works
- Bind each logical connection to approved component instances, interface frames and concrete geometric evidence.
- Choose a mate set that expresses the intended degrees of freedom without creating an unreviewed overconstraint.
- Create mates through the controlled SolidWorks adapter, capture return codes and rebuild the assembly.
- Reopen or re-query the document and compare realized mates, references, status and component transforms with the obligation.
What evidence should a reviewer inspect?
| Review item | What it can establish |
|---|---|
| Interface-to-face binding | Explains why the selected native references represent the intended physical connection. |
| Mate inventory and status | Lists realized mate types, participants, references, alignment and error state. |
| Post-rebuild pose check | Detects a relationship that exists in the tree but does not realize the expected assembly state. |
Where this answer stops
A mate that SolidWorks accepts may still express the wrong engineering intent, and face identifiers can change across revisions. Verification needs semantic interface evidence and negative tests, not only API success.
Human engineering authority
A SolidWorks-qualified engineer reviews mate intent, degrees of freedom, rebuild behavior and downstream editability.
Related ways people ask this question
- Can AI create SolidWorks mates?
- How are automatic assembly mates verified?
- How does a SolidWorks agent know a mate worked?
References and claim boundary
- SOLIDWORKS API Help 2026 — IAssemblyDoc
- W3C Recommendation — PROV-DM provenance data model
- MST Engineering AI — Evidence model and public status
Limit: External sources support the named standards, platform features or governance concepts. They do not endorse MST or independently validate MST product performance. MST implementation statements remain bounded by the current public evidence status.
MST Engineering AI. “How Does an AI Agent Create and Verify SolidWorks Mates?.” Engineering Questions Q13. Reviewed 2026-08-15. https://mst-us.ai/questions/ai-agent-solidworks-mates-verification/
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