This scores two different things separately, your attitude and your capability, then shows the gap between how capable you feel and what you can actually demonstrate. About 6 to 8 minutes.
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Attitude the will
What you bring to AI before you have built skill: how far you trust the tools to be useful, feel secure rather than threatened, and are willing to engage and adapt. There are no right answers here, only where you honestly sit. Measured by what you tell us.
Capability the can
What you can actually do with AI, shown not claimed: understanding how the tools work and fail, applying them, judging when to verify, and using them safely. This is everyday AI capability for any role, not technical AI building or data science. Measured by scored scenarios and behaviour, not by confidence.
The questions
0 of 0 answered
Assemble You
Your AI confidence check
Two scores, read separately, plus the one signal that matters most: whether your confidence matches what you can demonstrate.
Attitudethe will
How far you trust AI, feel secure, and are willing to engage.
Indicative disposition band.
Capabilitythe can
What you demonstrated and do, across understanding, application, judgement and safe use. Everyday AI use in any role, not technical AI or data-science skill.
Provisional maturity band.
Your calibration
How your confidence lines up with what you showed
Both points below are reads of your capability, not your attitude: how capable you felt, set against what you actually demonstrated in the scenarios alone (your capability band above also folds in your everyday habits). The distance between them is your calibration.
How capable you feltWhat you demonstrated
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0100
Where to focus
Your capability, by dimension
Your capability score is built from what you demonstrate and do, not from how confident you say you are. Confidence is used only to find your calibration gap.
These bands are scored against a fixed standard for everyday workplace AI use: what a capable non-specialist should be able to do. They are not a ranking against other people, and not a test of technical AI or data-science skill. They are provisional anchors pending real workforce data, not a validated assessment. Treat the labels as a direction of travel.
Curious how a whole team would score? It is something we are building at Assemble You.
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The same model, attitude and capability scored separately with the gap between them, is something we are building at Assemble You to run across a whole team.
Book a 30-minute chat: assembleyou.com/book-a-demo · richard@assembleyou.com