World Model Readiness What you can actually do with AI

Module · What you can actually do with AI

The Personal AI Fluency Check

Fluency is not how many tools you have opened, it is what you can reliably get done with them. This check gives you an honest baseline across five parts of real competence: how broadly you can work, how deep you go on your main tool, whether you understand where these systems fail, whether you can tell good output from convincing output, and whether you can teach what you know. Answer for the habits you actually have, not the ones you mean to build.

Question 1 of 5 · Breadth across tasks

Across how many kinds of work can you reliably get value from AI?

Not tools, tasks. Drafting, summarising, coding, analysis, research, planning. Breadth is knowing which of your tasks AI helps with and reaching for it without a second thought when one comes up.

Question 2 of 5 · Depth on one tool

On the AI tool you use most, do you know more than the obvious?

Depth is the difference between typing a question and working the tool: giving it context, correcting it, controlling its format, using its real features. Most people stay on the surface of the one tool they use daily.

Question 3 of 5 · You know the failure modes

Do you know the specific ways your AI tools get things wrong?

Fluent users have a mental list: it invents citations, it is confident when unsure, it flatters, it drifts on long tasks, it is stale past its training date. Knowing the failure modes is what lets you use the tool without being fooled by it.

Question 4 of 5 · You can judge quality

Can you tell a genuinely good AI output from a merely convincing one?

AI is fluent by construction, which means bad answers read as smoothly as good ones. Judging quality means knowing the domain well enough to catch the plausible-but-wrong, not just the obviously broken.

Question 5 of 5 · You can teach it

Could you teach a colleague to work the way you do with AI?

Teaching is the test of real understanding. If your skill is a bag of tricks you cannot explain, it is fragile and it does not spread. If you can show someone why, not just what, you understand it.

For the statistics · one click each

Three questions for the public picture

These do not affect your score. They feed the anonymised, aggregated statistics; groups under 8 respondents are never shown.

On a typical workday, how long do you actively work with AI tools?

Almost none
Under an hour
One to two hours
Two to four hours
More than four hours

How did you learn to use AI at work?

Trial and error alone
Watching colleagues
Videos and articles
Formal training
I have barely started

Where are you in your career?

Early career
Mid-level
Senior individual contributor
Manager or lead
Executive

Your context

Used to calibrate the report. Company size and sector remain in the anonymized dataset; your email does not.