The role + constraints + example pattern
The three-part structure that covers ~80% of professional prompting.
Knowing how to break down a deliverable, where the model should fit in the workflow, and how to set context that makes the output predictable.
Trick lists go stale every six weeks. The skill is task design, the structure of how you frame the request, not the magic phrase.
Recruiters report this as the #1 differentiator between graduates who use AI productively and those who get burned by it.
Each pillar breaks into 4 sub-competencies. The assessment scores each one independently so you can see what to work on, not just an overall band.
The three-part structure that covers ~80% of professional prompting.
How to split a complex deliverable and pass output between steps.
What to change when the first response misses, and what not to.
When to reach for a chat model, when to use a search-grounded one, when to skip AI entirely.
The full assessment has 36 of these for Pillar 02. There’s no time limit and you can pause anytime.
You need a comparison table. Which instruction is most effective?
“Proficient” is the workplace-ready bar. Most graduates leave school at Developing; recruiters look for Proficient or above.
Limited working knowledge. Outcomes are unreliable and depend on luck.
Foundational fluency. Can complete simple tasks; struggles in novel contexts.
Workplace-ready. Handles real tasks at expected quality with light oversight.
Expert practice. Sets standards for peers, anticipates failure modes, adapts quickly.

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The free AI Literacy Assessment scores you independently on each pillar and shows you exactly where to focus next.