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Measure Your AI Skills in 5 Minutes

Get a standardized AIQ score instantly. No signup. No tracking. Just honest self-assessment.

1: Self 2: Peer 3: Auto/Audit Verification Level S C O R Es Study Copy Output Research Ethical security Skill Progression (Basic to Advanced) Beginner (0.70x) AI User (0.85x) AI Leader (1.0x)

How It Works - 4 Simple Steps

1
🎯
Choose Your Level
Pick based on how much rigor you need. Level 1 is perfect for most people.
2
📝
Complete Assessment
Answer questions about your AI skills across 5 dimensions (S-C-O-R-Es).
3
💾
Download Report
Get your AIQ score as a JSON file (for data) or PDF (for sharing).
4
📈
Track Progress
Retake periodically. Organizations can aggregate results in the dashboard.
Choose Your Verification Level

Level 1: Self-Assessment

Try Now → 5 min | 0.70x

What You'll Do

Answer honest questions about your AI learning, tool usage, projects deployed, contributions shared, and safety practices.

S Study "Where do I learn about AI?"
C Copy "What tutorials have I followed?"
O Output "What have I deployed?"
R Research "What have I contributed?"
Es Ethical security "How safely do I use AI?"
Best for: Personal development planning, identifying skill gaps, quick baseline check. No evidence needed - just honest reflection.

Level 2: Peer Validation

Try Now → 30 min | 0.85x

What You'll Do

Complete a self-assessment, then share a validation link with your manager or peer. They confirm or adjust your scores.

S Study Manager confirms learning activities
C Copy Peer reviews code samples
O Output Screenshots and demo recordings
R Research Links to published work
Es Ethical security Manager attests to safe practices
Best for: Quarterly performance reviews, team calibration sessions, training allocation decisions.

Level 3: Full Verification

Try Now → 1-2+ hrs | 1.0x

What You'll Do

Provide verifiable evidence: Git commits, LMS logs, production metrics, portfolio links. Can include live interviews for highest-stakes decisions.

S Study LMS logs, live interview on concepts
C Copy Git commits, live demo walkthrough
O Output CI/CD metrics, ROI proof
R Research GitHub stats, papers, citations
Es Ethical security Audit logs, compliance records
Best for: Critical hiring decisions, promotion to senior AI roles, high-stakes project assignments.

For Organizations: Aggregate Team Data

Collect assessment data across your team and visualize AI skill distribution, gaps, and trends over time.

1

Employees Take Assessments

Team members complete any level assessment and download their JSON report.

2

Admin Runs Aggregator

Collect JSON files into folders. Run aggregate.py to combine them.

3

View in Dashboard

Open the analytics dashboard to see score distributions, skill gaps, and trends.

Need more details?

📖 View Full Reference Guide

Weight tables, validation matrix, full rubrics