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Frameworks and guides for AI skills assessment.

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Open frameworks, practical guides, and reference materials for measuring and developing AI proficiency. Everything here is public, citable, and based on the methodology Emeri uses to grade assessments.

Core resources

AI Skills Assessment Framework

The open, citable framework underlying Emeri: six competencies, four bands, behavioral markers, and methodology. Based on the published standard.

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AI Skills Matrix

Observable behaviors mapped to the six competencies at foundational, developing, and stronger proficiency levels. A practical reference for hiring and development.

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How to Assess AI Skills

Practical guide for evaluators: defining purpose, choosing assessment methods, allowing AI use, interpreting results, and handling privacy and fairness concerns.

Read the guide

Related pages

Methodology

How Emeri grades assessments, the pass bar, and what happens below it.

The Standard

What the E1–E4 bands measure and why the scale is deliberately narrow.

Study Guides

Free guides covering every skill the exam measures, organized by competency.

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