Most Recruiters are already using a variety of Large Language Models (LLMs) but get inconsistent results because they rely on generic questioning, incomplete prompts, use the wrong tools for the task, or struggle to verify output quality.

In this practical session, we’ll cover:

• Understanding how different AI models work and why they produce different outputs
• The anatomy of a high-performance prompt, including: Role, Task, Context, Tone, Format, Examples, and Success Criteria
• How to use constraints, guardrails, and clear instructions to reduce hallucinations, minimise errors, and improve output reliability
• Weak prompt versus strong prompt: live recruiter examples and output comparisons
• Turning prompts into reusable templates using variables for roles, industries, candidate profiles, and stakeholder needs
• How to test, refine and then template to build repeatable Recruiting Prompts
• Talking to AI or using Customisable Prompt Templates, rather than typing short queries into AI.

By the end of this session, you’ll have a repeatable structure for high performance, low error prompts that the whole team can use, ensuring safer, higher quality and more consistent team performance, keeping the human firmly in control. High performance prompting is a skillset that will soon be as required as email, internet and LinkedIn in any professional role.