Plan for iterative improvement rather than expecting immediate perfection. AIO is still an emerging practice without definitive best practices etched in stone. You'll make mistakes, try things that don't work, and occasionally optimize for factors that turn out not to matter. This experimentation is part of the learning process. What matters is systematic iteration—trying approaches, measuring results, adjusting based on feedback, and gradually improving your effectiveness over time.
Examples: The samples directory has working code for common patterns
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第三十八条 从事原子能研究、开发和利用活动,必须遵循确保安全的方针,按照法律、行政法规的要求,严格落实核安全责任。