Daily Tasks with GenAI

In the previous lesson, we explored how to use AI to summarize information, turning lengthy documents, meeting notes, or articles into concise, actionable overviews. Summarization is just one way to leverage AI as a professional—it falls under a broader set of use cases where AI helps improve everyday productivity. In this lesson, we'll look beyond summarization and cover more specific scenarios where AI can be seamlessly integrated into your daily workflow.

Most professional AI tasks can be grouped into two main categories:

1. Generating New Content

   • Creating completely new text based on a prompt or instruction.
   • Examples: Drafting emails from scratch, composing reports or proposals, producing marketing materials, generating project ideas, or drafting code snippets.

2. Rewriting, Updating, or Expanding Existing Text

   • Modifying, improving, or restructuring material that already exists.
   • Examples: Summarizing meeting notes, expanding bullet points into process documentation, clarifying poorly written messages, translating or reformatting text, turning transcripts into actionable steps, or converting unstructured information into tables.

Summarization—which we discussed earlier—is a clear example of the second category.

AI is generally more reliable with the second category—rewriting, updating, or expanding existing text—because the anchor material provides context and reduces the risk of generating factually incorrect or off-base content ("hallucinations"). AI especially excels at tasks like reformatting, reorganizing, or structurally modifying text.

This is not a strict binary separation: many tasks are a blend of both (e.g., you may ask AI to reformat and expand content)

For tasks that involve generating new content, AI is often the only practical automated solution, which makes it an excellent efficient tool, but these outputs need more human review and validation, since the risk of hallucinations or misalignment is higher.

Let's explore three practical scenarios.

Category: Mainly Generating New Content (Category 1)

GenAI excels at drafting routine professional communication quickly and efficiently, such as:

• Emails: "Draft a polite follow-up to clients who haven't signed contracts."
• Reports: "Auto-generate weekly team productivity summaries."
• Documentation: "Convert bullet points into process guides." (This straddles both categories: using bullet points as context, but expanding to generate new text.)

Example:
Your Request: "Write a standard 'out of office' reply mentioning backup contacts."
AI Output:
"Thank you for your email! I'm away until June 20th. For urgent matters, contact Maria (maria@company.com) or Liam (liam@company.com)."

Human Input/Validation:
Outputs in this category should always be reviewed for accuracy, tone, and alignment with company communication standards, since AI is generating new material and can sometimes produce errors or awkward phrasing.