AI can now generate complex engineering documents — if you cage it with rules first

Researchers built a system that uses AI to generate structured engineering documents (like automotive software specifications) by forcing the AI to follow explicit rules and schema constraints at generation time, then checking the output against domain requirements. In practice, this means automotive and industrial engineers can use AI assistants for routine document generation without risking invalid or non-compliant outputs — the system catches structural errors automatically.

Automotive and aerospace engineering requires documents that must satisfy explicit legal and safety constraints, not just read well. AI trained on general text will violate those constraints by default. This work shows a concrete method for keeping AI inside procedural guardrails during generation itself, not just after. The constraint-checking happens in two layers: structural rules (does this conform to the schema?) and semantic rules (does this violate domain logic?). The payoff is automation of tedious, rule-bound document work without the risk of compliance violations that would force humans to rewrite everything anyway. This matters because document generation is a bottleneck in engineering workflows, and AI is useless for this unless it reliably produces valid outputs.