Plan for multiple rounds of fine-tuning and edge case management when working with AI advisors to set realistic expectations and allocate sufficient time for results. It’s essential to understand that the process may require iterative adjustments, often making it more of an art than a science. Emphasize de-risking by addressing the most challenging tasks upfront, as resolving these critical parts early ensures the success of the entire project and avoids wasted efforts on easier components. After solidifying core functionality, prioritize maximizing performance before focusing on cost and speed optimization.

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