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Using Jev to evaluate fault in machines The idea is simple: I wanted to try out Jev and evaluate its performance compared to LLM or rule-based decision-making. So I created a compressor operating manual (since I couldn’t use a real one due to copyright issues, I replicated the scenario) and applied machine error evaluation with Jev, based on real-time data and the confidence level of the error scenario. It replays real compressor telemetry through an emulated device, spots suspicious behaviour with plain code, and asks a decision model which fault from the machine manual explains it. The project is open source, and you can find all the technical details in the repo. What do you think?