AI in Design Delivery
1 min read
Data before models: why a uniform schema beats a smarter AI
Most AI disappointments in engineering are data problems. Before choosing a model, fix the library it reads from.
Agents, retrieval and governed AI in engineering design, with the engineer in control and accountable for every output.
Most AI disappointments in engineering are data problems. Before choosing a model, fix the library it reads from.
The fastest way to lose trust in AI is to use it for work that rules already do well. A practical split for engineering teams adopting AI.
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