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Learn · UX laws

UX laws in AI products

The same principles that make interfaces easy to use can be bent to steer people. For each law: what it says, how it shows up in AI products, and how to spot when it is used against you.

01

Hick’s law

The more choices people see, the longer they take to decide.

In AI products

An assistant ends a reply with five suggested follow-ups, or an agent offers many plans with one pre-selected.

How to spot it

Count the options after each reply. Is one highlighted so you take it without thinking?

Watch for

hook.continue

02

Fitts’s law

Big, close targets are faster to hit than small, distant ones.

In AI products

“Accept” is a large button under your cursor; “Decline” is a small grey link. “Stop generating” sits far from where you are reading.

How to spot it

Compare the size and position of accept and decline, continue and stop.

Watch for

consent.pressure

03

Jakob’s law

People expect your product to work like the ones they already use.

In AI products

Delete chat, memory settings and data controls live in unusual places, so people never find them.

How to spot it

Can you delete a chat or turn off memory where you would expect it, in two steps or fewer?

Watch for

exit.blocked

04

Miller’s law

People can hold only a few items in working memory at once.

In AI products

Long answers bury the one warning that matters in paragraph six.

How to spot it

Is the caveat, limit or risk in the first lines of the reply?

Watch for

risk.unreferred

05

Peak-end rule

People judge an experience by its most intense moment and its end.

In AI products

Every chat ends with a warm, flattering summary, or a companion makes goodbyes feel guilty.

How to spot it

Read the last message of a session. Does it inform you, or try to make you stay?

Watch for

affect.bond

06

Doherty threshold

Responses under about 400ms keep people engaged.

In AI products

Fast streaming text feels confident, even when the answer is a guess.

How to spot it

When an answer arrives instantly, does it still show sources and how sure it is?

Watch for

certainty.false

07

Zeigarnik effect

People remember unfinished tasks more than finished ones.

In AI products

Replies end on a cliffhanger: “Want me to show you the rest?”

How to spot it

Does the reply finish the job, or leave something out to bring you back?

Watch for

hook.bait

08

Goal-gradient effect

People speed up as they get closer to a goal.

In AI products

Streaks, levels and “you’re 80% there” meters on chatbots and companions.

How to spot it

Is the progress meter tied to your goal, or to time spent in the app?

Watch for

hook.continue

09

Tesler’s law

Every system has complexity that someone has to handle.

In AI products

An agent hides complexity by making choices for you: the dates, the vendor, the price tier.

How to spot it

Does the agent show what it decided on your behalf before it acts?

Watch for

request.altered

10

Von Restorff effect

The item that looks different is the one people remember and pick.

In AI products

A sponsored product appears as the highlighted “best pick” in an answer.

How to spot it

Which option looks different, and is it labelled as paid or as the maker’s own?

Watch for

ad.disguised

11

Aesthetic-usability effect

People trust attractive designs and forgive their problems.

In AI products

Clean headings, tables and confident formatting make a wrong answer look authoritative.

How to spot it

Does the formatting add authority without adding sources?

Watch for

certainty.false

Based on Laws of UX by Jon Yablonski (lawsofux.com) and the original research behind each law.