1. **Multi-Category Routing & Prioritization**: Given a batch of 20 diverse emails (e.g., billing inquiries, technical support tickets, sales leads, and general newsletters), classify each into one of four specific departments and assign a priority score from 1 (Low) to 5 (Critical) based on keywords like "urgent," "broken," or "refund."

2. **Action Item & Deadline Extraction**: Provide a long, rambling email thread between three colleagues discussing a project launch. The task is to extract a structured list of "To-Do" items, identifying the specific person responsible for each task and the associated deadline mentioned in the text.

3. **Sentiment-Based Escalation**: Analyze a series of customer service emails. Identify which messages contain "High Frustration" or "Hostility" sentiment. For these specific emails, generate a brief internal summary of the customer's core grievance and a suggested "de-escalation" opening sentence for a human representative.

4. **Newsletter Summarization & Fact Extraction**: Provide a 500-word weekly corporate newsletter. The model must produce a 3-bullet point summary of the key achievements and extract a specific list of upcoming dates and event names mentioned in the text.

5. **"Greymail" vs. Spam Classification**: Present a set of emails that are not obvious spam but are "Greymail" (semi-useful but unsolicited content, such as social media notifications or personal blog updates). The model must determine if the email contains a specific "Call to Action" (e.g., "Click here to view") and categorize it as "Actionable," "Informational," or "Discard."