豆包到底能不能工作？产品老炮被AI骂垃圾，才发现是我不配！

AI agents like Doubao can effectively function as workplace assistants when provided with sufficient context, such as meeting recordings and project documentation. Rather than fearing proprietary data leakage, companies should prioritize "passive documentation"—recording all meetings—to build the necessary knowledge base for AI to operate. AI agents function similarly to management trainees, learning through active participation and iterative feedback. While initial results may be imperfect, modern models demonstrate improved long-term memory and reasoning, allowing them to handle complex tasks and provide professional-level support. Ultimately, the value of an AI agent lies in its ability to adapt to organizational styles and maintain consistency across multi-turn workflows, rather than merely executing single-shot commands. By integrating these tools into daily operations, businesses can bridge the gap between raw data and actionable work results.