AI capability glossary

AIQ is Answerr's measure of how well a person works with AI in a specific task-based session. It is scored across five dimensions, judgment, questioning, critical thinking, reasoning and adaptability, from observed AI-assisted work. AIQ describes work in that session and does not infer personality, intelligence or demographics.

AI capability is how effectively a person works with AI on real tasks: directing it, questioning its output, and verifying and improving results. Answerr measures AI capability from observed work rather than self-report and records it as a verifiable AIQ credential.

An AI capability assessment is a task-based evaluation of how a person works with AI, producing a comparable score and session evidence for hiring and development. Answerr's assessment yields an AIQ credential rather than a self-reported rating.

An AIQ credential is a verifiable record of a person's measured AI capability from an Answerr session, shareable with employers as evidence of how they actually work with AI.

AI readiness is how prepared a person, team or organization is to adopt AI effectively: the skills, judgment, governance and workflows needed to use it well. Answerr measures individual readiness as part of AI capability.

An AI skills assessment evaluates the specific skills a person uses when working with AI, such as prompting, verification and judgment, through task-based exercises rather than a multiple-choice quiz. Answerr scores these skills as an AIQ credential.

AI fluency is the practical, everyday ability to work with AI tools confidently and responsibly across common tasks. It is the foundation that deeper AI capability builds on.

AI literacy is a baseline understanding of what AI can and cannot do, how it works at a high level, and how to use it safely. It precedes AI fluency and AI capability.

In AIQ, judgment is how well a person decides when to trust, challenge or override AI output, and when a result is good enough to act on.

In AIQ, questioning is the quality and originality of the prompts and follow-ups a person uses to direct AI toward a useful result.

In AIQ, critical thinking is how rigorously a person evaluates, verifies and corrects AI output rather than accepting it at face value.

In AIQ, reasoning is how a person structures a complex problem and works through it with AI toward a sound, defensible conclusion.

In AIQ, adaptability is how quickly a person improves their approach to AI over a session, learning from what works and what does not.