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AI-ready questions test whether you can reason about LLMs and AI systems as engineering material — limits, costs, evaluation, failure modes — not just hype.

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AI-ready · Tool Usage

Your day-ahead load forecasting model runs on an AI/ML pipeline that ingests historical consumption, weather, and calendar data. Walk me through a scenario where you’d override or set aside the model’s forecast entirely rather than trust it.

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I trust the model under normal operating conditions because it’s trained on years of consumption, weather, and calendar patterns, and it beats manual forecasting day to day.

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