Thesis: industrial AI becomes an engineering product only when an identified input is transformed into a native artifact, the artifact is tested against declared obligations, and unsupported certainty fails closed under human authority.
From P&ID PDF to Evidence-Verified Native SolidWorks Assemblies
The product begins before CAD. A P&ID PDF carries symbols, tags, linework, direction, conditional state and project-specific ambiguity. Those observations must retain source evidence while becoming a directed engineering graph. Only then can the system bind enterprise part identity, approved native geometry and physical interfaces.
The physical solver combines discrete component selection with continuous three-dimensional placement and routing. Blocks, bridges, layer changes, elbows and tubing are not drawing decorations: they change the physical implementation and bill of materials.
The compiler boundary
The solved result becomes Assembly IR: components, interfaces, connections, poses, mates, routing tasks and evidence obligations expressed before a CAD vendor API is called. The SolidWorks adapter executes that deterministic contract using existing qualified component models and produces a new editable .sldasm.
Proof after generation
The native output is reopened and read-back checks are performed for the declared acceptance scope. The review should identify the component, mate, rebuild, connection and spatial checks actually covered, together with any unverified obligations. Missing evidence produces review, fail-closed or cannot-verify—not a silent pass.
What is and is not claimed
The current boundary is controlled semiconductor gas-panel, gas-box and stick assemblies using approved P&ID, BOM, component libraries and Rulepacks. This paper does not claim arbitrary whole-machine design, universal dirty-CAD understanding, automated production release or verified deployment in every adjacent industrial domain.
MST Engineering Intelligence. “From P&ID PDF to Evidence-Verified Native SolidWorks Assemblies.” Web edition, August 2026. https://mst-us.ai/whitepapers/
TECHNICAL DILIGENCE
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