The CIFT formula gives structure to your prompts, but structure alone isn’t always enough for complex, high-stakes HR work. In this lesson, you’ll learn five prompting techniques that significantly improve the quality, consistency, and usefulness of AI outputs when applied to real HR tasks. Through concrete examples, you’ll see how techniques like role assignment, few-shot prompting, knowledge blocks, chain-of-thought, and context stacking help AI better reflect your organization, your judgment, and your constraints, turning generic responses into practical HR-ready outputs.

Learning objectives

By the end of this lesson, you will be able to:

• Explain when and why advanced prompting techniques improve AI performance
• Use role assignment to shape tone, expertise, and perspective
• Apply few-shot prompting to increase consistency and alignment
• Create reusable knowledge blocks to save time and maintain context
• Combine multiple techniques to handle complex HR tasks responsibly

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