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A grounded starting point for your AI capability.

AIQ Lite is a 10–12 minute baseline of your AI knowledge and how you work. Honest answers serve you better than aspirational ones.

About you

A few basics so your results mean something.

How often do you use AI tools (ChatGPT, Claude, Gemini, Copilot, etc.) in your actual work?
Where do you mostly use AI today?
Which AI tools do you use regularly?

AI Knowledge

Do not guess if you do not know. “I’m not sure” is more useful than a coin flip.

B1. When a language model “hallucinates,” what’s actually happening?
B2. What does a “context window” determine?
B3. You send the exact same prompt to the same model twice. You get two different answers. Why?
B4. What’s actually different between Claude, ChatGPT, and Gemini?
B5. When people say “agent” in the AI context, they usually mean:
B6. A “system prompt” is:
B7. “Prompt injection” or “jailbreak” refers to:
B8. When you paste sensitive company information into a public chat interface (ChatGPT, Claude, Gemini), what typically happens?
B9. A model’s “training cutoff” means:
B10. Which of these can frontier AI models actually do today?
B11. MCP (Model Context Protocol) is most closely about:

The full framework has seven quotients.

Explore how thinking, connecting, and executing work together.

Think
Connect
Execute
Think

Intelligence Quotient · IQ

Understand core AI concepts well enough to ask better questions and recognize what a tool can and cannot do.

What a useful Lite report can look like.

A representative report format. Alex Rivera is fictional.

A working grasp of AI, with room to sharpen.

AIQ Lite · Operations Director · Manufacturing

A working mental model, with a gap or two.

Alex was strongest on the tools landscape. The useful learning focus is why the same prompt can return different answers and what a system prompt sets before a conversation.

Working baseline

Strength

Tools landscape. A strong grasp of meaningful differences between tools and what frontier models can do today.

Learning focus

Fundamentals. Sharpen the mental models that help you judge a response, not just prompt for one.

Three practical next steps

  1. Close one knowledge gap around sampling randomness.
  2. Clarify what a system prompt does before the conversation begins.
  3. Test AI on one recurring task and compare it with today’s workflow.
When you paste work into an AI tool, how do you decide what is safe to share?

AIQ Lite is a baseline, not a certification or the full seven-quotient report.

Turn the baseline into a useful next step.

Bring the work you want AI to improve, not a perfect answer.

Book the follow-up conversation