1. **Phishing and Spam Detection:** Analyze a batch of 20 synthetic emails to identify potential security threats. The model must flag messages containing "urgent" calls to action, mismatched sender domains, and suspicious links while distinguishing them from legitimate marketing newsletters.

2. **Sentiment-Based Priority Routing:** Categorize a set of incoming customer support inquiries into "High," "Medium," or "Low" priority. The classification should be based on the customer's emotional tone (e.g., frustrated, neutral, or appreciative) and the severity of the reported technical issue.

3. **Entity Extraction from Logistics Correspondence:** Parse a series of informal emails regarding shipping updates to extract specific structured data points, including Order IDs, tracking numbers, estimated delivery dates, and recipient names, into a JSON format.

4. **Multi-Turn Thread Summarization:** Take a long, multi-message email thread between three different stakeholders (e.g., a client, a designer, and a project manager) and produce a concise three-bullet point summary highlighting the final decisions made and the remaining blockers.

5. **Action Item Identification:** Read a collection of internal team emails and automatically generate a structured "To-Do" list. The model must identify specific tasks, the deadlines mentioned, and the individuals assigned to each task based on the context of the conversation.