Day 1: Selecting Everyday AI Tasks and Prompting Effectively

Choosing Everyday AI Tasks

• List recurring time-consuming tasks
• Separate assistance from high-risk decisions
• Choose well-defined repeatable work tasks
• Prioritize one task for practice

Prompting and Context

• Define task context output requirements
• Request structured responses when useful
• Test alternative wording for ambiguity
• Keep sensitive information outside prompts

Evaluating AI Responses

• Check response answers actual request
• Verify facts calculations important details
• Identify assumptions requiring clarification
• Revise prompt when quality drops

Day 2: Using AI for Responsible Knowledge Work

Writing and Summarization

• Transform notes into business content
• Prepare concise summaries preserving meaning
• Evaluate versions for clarity completeness
• Refine AI output naturally

Analysis and Planning

• Organize inputs into analytical themes
• Use AI to expose gaps
• Evaluate recommendations before acceptance
• Test approach against realistic scenario

Responsible Use and Personal Workflow

• Set boundaries for information sharing
• Define cases requiring human review
• Document repeatable sequence for tasks
• Build personal responsible-use checklist

• Guided analysis of choosing everyday AI tasks using workplace evidence
• Practical exercises developing capability in evaluating AI responses
• Scenario review testing decisions around analysis and planning
• A capstone activity creating a personal responsible-use checklist and repeatable workflow