MSTEngineering AI

What Inputs Does a Mechanical-Design AI Agent Need?

A defensible agent needs requirements, controlled identity and geometry, rules, constraints, a target CAD runtime and acceptance criteria—not only a prompt.

Q07Reviewed 2026-08-152 min read

Direct answer: The minimum input depends on the promised output. For a native equipment assembly, a mechanical-design AI agent usually needs a frozen design basis, process or connection intent, BOM and tag mapping, approved model revisions, interface definitions, spatial and routing constraints, engineering Rulepacks, the target SolidWorks version and explicit acceptance criteria. Every input should have an owner, revision and allowed-use boundary.

How the controlled workflow works

  1. Freeze the work package and name the exact native artifact and evidence the pilot must deliver.
  2. Inventory source documents, part master data, native models, rules and known gaps; assign an authority for each.
  3. Define the execution environment, access permissions, retention policy and prohibited data movement.
  4. Create positive, negative and ambiguous acceptance cases before running the agent.

What evidence should a reviewer inspect?

Review item What it can establish
Input register Records document, BOM, model and Rulepack revisions plus ownership.
Data-boundary record States where files may be processed, retained and reviewed.
Acceptance matrix Prevents a visually attractive result from replacing agreed engineering criteria.

Where this answer stops

Do not upload confidential P&IDs, CAD, BOM, PDM records or credentials through the public website. Protected exchange begins only after identity, NDA and scope review.

Human engineering authority

The customer names the source of truth for requirements, part identity, models, rules and final acceptance.

Related ways people ask this question

  • What data does a mechanical design AI need?
  • What inputs are required for AI CAD automation?
  • What should we prepare for a SolidWorks AI pilot?

References and claim boundary

  1. NIST AI 100-1 — Artificial Intelligence Risk Management Framework
  2. W3C Recommendation — PROV-DM provenance data model
  3. MST Engineering AI — Intended controlled deployment model

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.

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How to cite this answer

MST Engineering AI. “What Inputs Does a Mechanical-Design AI Agent Need?.” Engineering Questions Q07. Reviewed 2026-08-15. https://mst-us.ai/questions/mechanical-design-ai-agent-inputs/

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