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OpenMC is powerful and but can be painful to use: you hand-write XML, manage batch runs, and read results out of HDF5. It would be great if we could safely use AI to reduce that friction.
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OpenMC is powerful but can be painful to use: you hand-write XML, manage batch runs, and read results out of HDF5. It would be great if we could safely use AI to reduce that friction.
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PromptMC does that by providing infrastructure and tooling that allows both AIs and humans to interact with OpenMC through typed, schema-driven workflows.
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PromptMC does that by providing infrastructure and tooling that allows both AI LLM assistants and humans to interact with OpenMC through typed, schema-driven workflows.
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It works like a grammar checker between an AI LLM assistant and OpenMC: your AI proposes a configuration, PromptMC validates XML structure and supported schema constraints before the simulator runs, and catches malformed inputs early.
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