Home · Methodology · PRIME

The behavioural standard for human-AI collaboration.

Core-6 measures baseline knowledge. PRIME makes the applied behaviours behind good AI-supported work easier to observe, discuss and develop.

Purpose

Defines the intended outcome, audience and standard of success.

Interview probe“What outcome were you trying to achieve and how would you know it was good enough?”

Supplies domain constraints, relevant background and boundaries.

Interview probe“What context did the system need and what information did you deliberately withhold?”

Breaks complex work into clear actions, checks and deliverables.

Interview probe“How did you structure the work so that errors were easier to find?”

Uses strong examples to anchor format, depth and quality.

Interview probe“What example or comparison helped the system understand the standard you needed?”

Verifies claims, tests quality and iterates with accountable judgement.

Interview probe“How did you check the output and what caused you to revise or reject it?”

Enterprise application

A shared rubric helps hiring managers and L&D teams evaluate the process behind an answer, not just the polish of the final output.

Probe for purpose, context, verification and accountable judgement with consistent follow-up questions.

Examine how a team delegates to AI, checks results and retains decision ownership.

Turn observed gaps into practical coaching rather than another generic prompt-writing course.

Start with the validated baseline