Cole, CIT’s Power Platform Developer, to recap a recent Prompting 101 webinar focused on CRIT prompting—Context, Role, Interrogation, and Task—and why being specific in each area leads to better AI outputs. Cole explains each CRIT component, highlights common prompting mistakes like over-instructing the AI on how to reach an answer, and discusses how to address bias by explicitly naming it in prompts so the AI can avoid reinforcing it. He also answers how much context is too much, noting that while you can’t give too much in a single prompt, long multi-phase threads can introduce irrelevant context due to model limits. Looking ahead, Cole expects prompting to remain important while evolving toward reusable AI “skills” for consistent outputs such as CIT’s readiness assessment reports.