Many companies find generic AI doesn't match their business reality. To make it useful, you need your own knowledge base — capturing practical experience, current plans, and outside learning, then continuously refining. Start from your own logic, add the model's capability, and outputs grow closer to real operations. Keep feeding, keep refining — let the tool serve your growth.
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