What does this AI blind spots test measure?

It measures how your working patterns overlap with your AI tool's tendencies. Nine questions examine whether your AI catches what you tend to miss, mirrors your existing habits, or introduces friction that creates extra work. Your result profile explains the specific dynamic and what to do about it.

How many questions are in the test and how long does it take?

Nine questions. Most people finish in under three minutes. There is no signup, no email required, and your result is immediate.

What result profiles can I get?

There are eight possible profiles. They range from your AI working too much like you, to your AI catching what you tend to miss, to your AI being different in ways that create more work. Each profile page explains what the result means, why it happens, and a concrete next step.

Can I use this test to compare two different AI tools?

Yes. Take the test once thinking about one AI tool, note your result, then take it again with a different tool in mind. The two profiles show you which tool complements your working style and which one just echoes it.

Why would an AI that thinks like me be a problem?

An AI that mirrors your habits feels smooth and productive. But it skips the same things you skip. Blind spots stay blind. The value of a complementary AI is that it flags what you would not have checked, catches patterns you overlook, and pushes back where you tend to coast.

Is this test only for developers or coders?

No. The underlying idea comes from AI coding partnerships, but the questions apply to anyone using AI as a working tool: writers, product managers, designers, analysts, founders. If you delegate thinking to an AI, the overlap question matters regardless of your role.

Business Application

Does Your AI Cover Your Blind Spots or Multiply Them?

Find a detailed explanation below this free test.

The AI that feels easiest to use may repeat habits that already cost you time or quality. Answer nine questions about recent work to see whether it catches what you miss, works like you do, or pulls you in an unhelpful direction. You will also get a simple way to compare two AI tools.

0 of 9 answered

01Think of the last time you started on a vague request or a half-formed idea. What did you do first?

Started making something right away and shaped it as I went.
Sketched two or three quick directions before picking one.
Wrote down what finished should look like before starting.
Gathered context or examples before deciding what to make.
Asked the person who requested it what they meant.
Let it sit until the shape became clearer.

02The last time you gave your AI a task with important details left open, what did it do?

It asked which direction I meant before doing anything.
It chose one meaning and produced something fast.
It added more than I requested: extra structure, more options, or more work.
It did exactly what I wrote and nothing more.
It stalled, refused, or never produced a usable first pass.
I never give it tasks with important details left open. I explain everything first.
I have not tried giving an AI a task with important details left open.

03Think of your most recent piece of work that was nearly finished. Which answer is closest?

I shared it early even though I knew parts were rough.
I shared or used it once it worked, polishing only what mattered.
It took longer than planned because I kept improving it.
It is still not out. It never felt ready.
Other priorities, waiting on people or unfinished work, or cancellation delayed or stopped it.

04When you compare what the AI produced with what you would have done yourself, what pattern do you notice?

It usually goes where I would have gone.
It often takes a different path, and the difference is usually worth keeping.
It often takes a different path, and I usually end up undoing it.
It changes with the task; I do not see one consistent pattern.
I have not worked with one AI long enough to see a pattern.
I could not reasonably have done that work myself, so I cannot compare.

05Think of that same piece of work. After the first usable version, how much did you redo or untangle?

Choose an amount Drag the dot or tap a label. Count work you had to revisit before it was ready to use or share.

06When you review what your AI produced before using it, what do you mostly find yourself correcting?

Changes I never requested: extra edits, new structure, or more work.
Places where it stopped too soon, asked instead of acting, or missed a larger problem.
Small factual, formatting, or typing mistakes, not the overall approach.
Problems with the reasoning, facts, or whether the result matched the task.
No single kind. What needs correcting changes with the task.
Not much. It usually comes back close to usable as it is.
Honestly, I rarely review it closely before using it.

08When the work is unfamiliar, how does your approach change?

It does not change much.
I slow down and check more.
I move faster and clean it up later.
I avoid unfamiliar work when I can.
Risk matters more than familiarity. Higher-risk work gets more checking.
I do not have enough unfamiliar work to compare.

09How much saved guidance does your AI get before it starts? This could include instructions, project rules, templates, or checklists.

Choose a level Drag the dot or tap a label.

For general information only. Not professional advice; results are estimates. See the full Disclaimer.

See the thinking before it becomes work. See the work before it's public.

This free test is based on Your Best AI Coding Partner Is the One Least Like You.

Try my other tests, diagnostics, calculators, and tools.

Why This Test Exists

Most people pick AI tools that feel easy to work with. That comfort is a signal, but not the one you think. An AI that mirrors your instincts confirms what you already believe, skips what you already skip, and leaves your blind spots exactly where they were.

The best AI partner is the one least like you. This test helps you see whether that is what you have, or whether you have been optimizing for agreement.

What the Test Measures

Nine questions examine the overlap between your working patterns and your AI tool's behavior. It looks at three things:

Cognitive overlap - whether your AI repeats your habits and assumptions
Complementary coverage - whether your AI catches what you tend to miss
Friction type - whether differences between you and your AI create useful tension or just extra work

Your result is one of eight profiles. Each one explains the dynamic, why it happens, and what to change.

Who This Is For

Anyone who uses AI as a thinking partner, not just a text generator. Developers, product managers, writers, designers, analysts, founders. If you hand real decisions to an AI, the question of whether it covers your gaps or doubles down on them matters more than which model you chose.

Especially useful if you

Switched AI tools recently and want to know if the new one complements you differently
Feel productive with AI but suspect you are missing something
Want to compare two AI tools by taking the test twice, once for each
Manage a team where people use different AI tools for similar work

How It Works

Answer nine questions about how you and your AI handle specific work situations
Get a result profile that names the dynamic between you and your tool
Read the profile page for an explanation of why this pattern forms and what to do next

No signup. No email. Takes under three minutes.

What Your Result Tells You

Each profile is a relationship diagnosis, not a grade. "Your AI catches what you tend to miss" is not automatically better than "Your AI works too much like you." Context matters. But knowing which dynamic is active lets you make a deliberate choice instead of drifting into a comfortable default.

Some results reveal that the friction you feel is productive tension worth keeping. Others show that your AI is different in ways that slow you down without adding insight. The distinction between those two is where real working leverage lives.

Related Tests Worth Taking

If the overlap question matters to you, these free tests explore related angles:

Is Your Trust in AI Backed by Evidence? - Test whether your trust rests on evidence or just on a convincing conversation.
Is AI multiplying an advantage or exposing a weak core? - Find out if AI is amplifying a real lead or accelerating a reckoning.
How Safe Is Your Engineering Role? - See where your role is exposed now that non-engineers ship working prototypes.
Does your AI-assisted work need disclosure? - Learn when AI use carries trust risk and how to explain your role clearly.

Ready to find out whether your AI is covering your blind spots or reinforcing them? Scroll up and start the test.

Browse result profiles

Each profile explains what your result means, why it happens, and what to do next.

Version: 1.0

Frequently asked questions

1

What does this AI blind spots test measure?

It measures how your working patterns overlap with your AI tool's tendencies. Nine questions examine whether your AI catches what you tend to miss, mirrors your existing habits, or introduces friction that creates extra work. Your result profile explains the specific dynamic and what to do about it.
2

How many questions are in the test and how long does it take?

Nine questions. Most people finish in under three minutes. There is no signup, no email required, and your result is immediate.
3

What result profiles can I get?

There are eight possible profiles. They range from your AI working too much like you, to your AI catching what you tend to miss, to your AI being different in ways that create more work. Each profile page explains what the result means, why it happens, and a concrete next step.
4

Can I use this test to compare two different AI tools?

Yes. Take the test once thinking about one AI tool, note your result, then take it again with a different tool in mind. The two profiles show you which tool complements your working style and which one just echoes it.
5

Why would an AI that thinks like me be a problem?

An AI that mirrors your habits feels smooth and productive. But it skips the same things you skip. Blind spots stay blind. The value of a complementary AI is that it flags what you would not have checked, catches patterns you overlook, and pushes back where you tend to coast.
6

Is this test only for developers or coders?

No. The underlying idea comes from AI coding partnerships, but the questions apply to anyone using AI as a working tool: writers, product managers, designers, analysts, founders. If you delegate thinking to an AI, the overlap question matters regardless of your role.