AI Skills Assessment

Measure AI proficiency with practical, role-calibrated scenarios.

An AI skills assessment measures how capably someone works with AI tools in realistic job contexts. Emeri assesses six practical competencies — from writing clear prompts to checking output for errors — through scenarios that mirror real workplace tasks.

What is measured

Emeri does not test model trivia, vendor-specific features, or theoretical knowledge. It measures the six skills that decide whether AI makes someone’s work faster, better, and safe to trust.

Asking well

Asking for what you need clearly enough to get useful results.

Checking the work

Spotting mistakes, checking sources, and knowing what to trust.

Putting it together

Turning prompts, tools, and steps into a repeatable workflow.

Getting real work done

Using AI to finish real work, not just make a first draft.

Giving good context

Giving AI the background, data, and limits it needs.

Keeping it safe

Protecting private information and using good judgment.

Each competency is graded on the four-band Emeri scale (E1 to E4), from foundational capability to exceptional fluency. The overall grade blends performance across all six areas into a single band and percentile.

Why practical scenarios beat trivia

Multiple-choice questions about model parameters or release dates test memory, not skill. Emeri uses open-response scenarios where you produce real work — a revised email, a research summary, a judgment call on when NOT to use AI — and your answers are graded against the same rubrics applied to every candidate.

This approach surfaces how you actually work: whether you verify AI output, adapt prompts when results miss the mark, and recognize tasks where AI adds risk instead of value. Self-reported proficiency and trivia quizzes cannot measure these behaviors.

Role calibration ensures fairness

A marketing professional and a software engineer face different AI tasks at work, but both deserve a fair assessment. Emeri calibrates scenarios to your role so questions feel relevant and the standard remains consistent: an E3 grade in marketing and an E3 in engineering both represent distinguished proficiency, measured against role-appropriate tasks.

Free check vs certification

The free 15-minute check gives you a private grade, percentile, and six-competency profile. Nobody sees your result unless you choose to share it. Certification ($189) is a single examined sitting that turns your grade into a verified credential: a badge, public proof page, Vanguard registry listing, and written examiner feedback.

Methodology and framework

Emeri’s grading method, band definitions, and pass bar are published on the methodology page. The six-competency framework and behavioral markers for each band are detailed in the AI Skills Assessment Framework.

Common questions

What makes Emeri different from other AI skills assessments?

Emeri measures how you actually work with AI through open-AI scenarios graded against published rubrics. You use AI during the assessment — we grade judgment and output quality, not memorization.

How long does the assessment take?

The free check takes about 15 minutes. The certification exam is a single timed sitting of 60 minutes with fresh questions.

Can I use AI tools during the assessment?

Yes. AI use is expected and encouraged. The assessment measures how well you work WITH AI, so using it during the test is part of what is being graded.

What is role calibration?

Role calibration tailors questions to your work context (marketing, engineering, support, etc.) so the scenarios feel relevant and the grading standard remains fair across different jobs.

Do I need to take a course first?

No. Emeri measures how you already work. If the free check identifies gaps, free study guides cover every competency, but there is no required course.

Is the assessment suitable for teams?

Organizations interested in using individual assessments across a team can contact support@emeri.org to discuss a pilot. Emeri does not currently provide aggregate team reporting.