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How are teams evaluating AI tools for digital twin workflows?
Teams working with digital twins often move between data preparation, simulation, visualisation, documentation, and stakeholder communication. I’m interested in how others evaluate AI tools before introducing them into this workflow.<div>
</div><div>We maintain ChinaAI (https://www.chinaai.app), a directory that groups practical AI tools by use case. For digital twin work, the most useful evaluation criteria seem to be data privacy, API access, export formats, provenance, and whether outputs can be reproduced.</div><div>
</div><div>What checks or pilot steps do you use before an AI tool is allowed into a production digital-twin workflow?</div> -
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