A developer is using a large language model to generate an initial set of prompts for a new task: classifying customer support emails as 'Urgent' or 'Not Urgent'. The developer provides the model with a detailed, formal definition of what constitutes an 'Urgent' email, including criteria like keywords, response time expectations, and escalation protocols. The resulting prompts are logically correct but fail to capture the subtle nuances and varied language used by real customers, leading to poor performance. Analyze the potential weakness of the chosen initialization strategy in this context and propose a more effective alternative strategy, explaining why it would be better suited for this task.