
You searched “Cheat on Everything” because you probably saw one of those AI demos where someone gets answers while a conversation is happening.
Maybe it was during a meeting.
Maybe it was a job interview.
Maybe you just remember the phrase and not the product.
If you were trying to remember the viral product behind the phrase, you may have been thinking of Cluely.
But if what you actually want is the AI interview cheating part — an AI that listens to interview questions and helps you answer in real time — there are tools built specifically for that.
That’s exactly what Linkjob AI Interview Copilot is designed to do.
Instead of opening ChatGPT after every question, typing what the interviewer said, explaining your background again, and waiting for a response, Linkjob AI stays with the interview and gives you useful answer suggestions while the conversation is happening.
In other words:
Interviewer asks. AI understands. You get help immediately.
That’s probably much closer to what you were looking for when you searched Cheat on Everything.
If you want to skip the explanation and just see how it works, here’s a quick Linkjob AI walkthrough.

Let’s forget the slogan for a second.
Here’s the actual problem.
You’re in an interview.
Everything is going fine.
Then the interviewer asks:
“Tell me about a time you disagreed with your manager.”
You know you have a good example.
You’ve probably even practiced this question before.
And then your brain gives you absolutely nothing.
That’s the moment people are trying to solve with real-time AI.
Regular ChatGPT is great when you have time.
A live interview is different.
You don’t want to:
open another tab;
type the question;
paste your resume;
explain the role;
wait for ChatGPT;
read five paragraphs;
switch back to the interview.
By the time you finish, the interviewer is probably wondering what happened to you.
A real-time AI interview assistant removes most of that friction.
The AI already has context.
It hears the question.
It understands what kind of answer is needed.
And it gives you something useful while you still have time to answer naturally.
That is the interview version of Cheat on Everything.
The easiest way to understand Linkjob AI is to think of it as an AI copilot sitting beside your interview.
You’re still having the conversation.
You’re still answering the questions.
But when you get stuck, there’s something there to help.
Linkjob AI Interview Copilot can work with information you provide before the interview, including things like:
your resume;
the job description;
your background;
the role you're applying for;
custom instructions for how you want answers written.
That matters because generic interview answers are usually obvious.
Ask a normal chatbot:
“Why should we hire you?”
and it will happily produce a polished answer.
The problem?
It may have almost nothing to do with you.
If you're a senior backend engineer, your answer shouldn't sound like a college student applying for an internship.
If you're a product manager, your answer shouldn't sound like a management consultant.
The AI needs context.
Otherwise you just get generic corporate language that looks good on screen and sounds strange when spoken out loud.
Let’s say the interviewer asks:
“Tell me about the hardest project you've worked on.”
You probably don't need AI to invent a fake project.
You already have the experience.
The difficult part is retrieving the right example quickly and structuring it under pressure.
That’s where real-time assistance becomes useful.
The AI can help surface:
which experience is most relevant;
what part of the story to emphasize;
how to structure the answer;
what details you may have forgotten;
how to keep the answer concise.
The same thing applies to questions like:
“Why do you want this job?”
“What is your biggest weakness?”
“Tell me about a conflict with a coworker.”
“Why are you leaving your current company?”
“Walk me through your resume.”
“How would you approach this problem?”
The value isn’t that the AI magically knows your life better than you do.
The value is that it can help you organize what you already know while the clock is running.
The basic workflow is less complicated than the phrase makes it sound.
A real-time AI assistant usually needs to do three things well:
listen, understand, and respond.
First, the AI needs to know what the interviewer is saying.
That means following the live conversation instead of waiting for you to manually type every question.
This alone saves a surprising amount of friction.
But transcription isn't enough.
Plenty of tools can turn speech into text.
The useful part comes next.
Consider these two questions:
“Why are you leaving your current company?”
and:
“What are you looking for in your next company?”
They're related.
But you probably shouldn't answer them in exactly the same way.
The first question may require you to explain a transition without sounding negative.
The second is more about motivation and fit.
A useful AI interview assistant needs to understand that distinction.
Otherwise it's basically a transcript with a chatbot attached.
This is where real-time becomes important.
An amazing answer that arrives 20 seconds late is not an amazing answer.
It's useless.
During an interview, there is usually a natural pause after someone asks you something.
A few seconds of thinking is completely normal.
That is your window.
The AI needs to provide something useful inside that window.
Not after you've already started rambling.
One reason this category gets so much attention is the idea of an invisible AI assistant.
For most people, “invisible” doesn't mean some magical AI hiding in the walls.
It means the AI doesn't constantly force you out of the interview workflow.
Think about the alternative.
Switch window.
Open ChatGPT.
Copy the question.
Paste it.
Wait.
Scroll.
Read.
Switch back.
Now try doing that every time the interviewer asks something difficult.
It falls apart pretty quickly.
That's why lightweight and overlay-style AI assistants have become popular.
If this is the part of the Cheat on Everything idea that interests you most, you can also see my comparison of the best invisible AI tools for interviews.
This is something I think people underestimate when comparing AI interview tools.
The model gets all the attention.
GPT this.
Claude that.
Gemini whatever.
But during a real interview, interface design can matter just as much.
If the AI gives you the best answer in the world but you have to click four buttons and scroll through a huge window to find it, who cares?
You're already answering the question by then.
A useful interview assistant should require as little interaction as possible.
You shouldn't spend your interview managing the AI.
The AI should be helping you manage the interview.
That’s also why AI overlay tools for interviews are worth looking at separately from normal chatbot tools.
This is another thing that looks completely different in a demo versus a real interview.
A 600-word AI answer looks impressive in a screenshot.
It is horrible during a live conversation.
Imagine someone asks:
“Why should we hire you?”
and your AI gives you:
Paragraph 1 of 8.
Great.
Now the interviewer gets to watch you silently read an essay.
That's not useful.
During a live interview, you usually need much less.
Something like:
one strong opening;
three key talking points;
one example;
a STAR structure;
one technical reminder.
Enough to get you moving.
Not enough to turn the interview into a reading comprehension test.
A good interview assistant should help you speak, not encourage you to read.
This might be the most underrated part of the entire category.
Latency.
You barely notice it when you're using ChatGPT normally.
During an interview, you notice every second.
Imagine this:
The interviewer asks:
“Why did you choose that architecture?”
They stop talking.
You pause.
One second.
Two seconds.
Still fine.
Three seconds.
Okay.
Five seconds.
Now you're staring somewhere while the interviewer waits.
Eight seconds.
The AI finally produces the most intelligent answer ever written.
Doesn't matter anymore.
This is why I wouldn't automatically choose the biggest or slowest model for every interview question.
Sometimes a faster answer is a better answer.
For a deep system-design problem, extra reasoning may be worth waiting for.
For:
“Why do you want to work here?”
you probably don't need an AI model contemplating the nature of capitalism for 15 seconds.
You need three useful points.
Now.
That's the real tradeoff:
speed, intelligence, and answer length.
If you're choosing an AI tool to Cheat on Everything in real time, speed isn't a technical footnote.
It's one of the main features.
Behavioral interviews are one thing.
Coding interviews are another.
In a technical interview, the assistant may need to understand much more than spoken language.
You might be dealing with:
an algorithm;
code on your screen;
a debugging problem;
time complexity;
system design;
a coding assessment;
follow-up technical questions.
A general conversation assistant may be able to help with some of that.
But the workflow is different enough that it makes sense to use something designed around technical interviews.
That's why Linkjob AI also has a dedicated Coding Interview Copilot.
If you're a software engineer, you may also want to read my guide to choosing an AI interview assistant for software engineers.
Because answering:
“Tell me about a conflict with your manager.”
and solving:
“Find the longest substring without repeating characters.”
are obviously not the same job for an AI assistant.
If you're comparing tools, I wouldn't overcomplicate this.
I'd look at five things.
Not just transcription.
Actual intent.
Behavioral questions, technical questions, motivation questions, and resume questions need different responses.
This is a big one.
The more the AI knows about your situation, the less generic the answers become.
If you're waiting too long, the tool stops being useful.
Simple.
You don't have time to read an essay.
Short, structured suggestions are much easier to use.
A general meeting assistant and an interview assistant may look similar at first.
But the context they're expected to understand is different.
That's why I would choose based on your actual use case instead of whichever AI product happens to be going viral that week.
Probably not.
And honestly, I think the slogan makes the use case sound much more extreme than it needs to be.
Most candidates don't need AI answering every single question for them.
You probably know most of the answers already.
The problem is those few moments where your brain refuses to cooperate.
You forget a story.
You lose the structure of your answer.
You blank on a technical term.
You get a question from an angle you didn't expect.
You suddenly can't remember something that was obvious ten minutes ago.
That's where an AI copilot makes sense.
Not:
“Do my entire interview for me.”
More like:
“I'm stuck. Give me something useful so I can keep going.”
And if you'd rather find those weak spots before the real interview, you can also practice with an AI Mock Interview.
The best outcome is probably not needing AI every 30 seconds.
It's knowing it's there when you do.
That's the bigger idea behind the phrase.
Normal AI works like this:
You stop what you're doing and go ask AI for help.
Real-time AI flips it:
AI stays close to what you're already doing and helps when something happens.
For interviews, that means:
The interviewer asks.
The AI understands.
You get context.
You keep talking.
No huge interruption.
No long copy-and-paste workflow.
No need to explain the entire situation from scratch every time.
That's why I think this category will stick around even if people eventually stop calling it Cheat on Everything.
The slogan is memorable.
But the useful part is much simpler:
AI that is there when you need it.
If what you want is an AI that can help you during a job interview, you don't need to keep searching for a vague “AI that cheats on everything.”
Look for an AI interview assistant.
More specifically, look for one that can:
follow the interview in real time;
understand interview questions;
use your resume and job context;
respond quickly;
keep answers concise;
support the type of interview you're taking.
That's exactly the problem Linkjob AI Interview Copilot is built around.
And if you have an interview coming up but don't want to jump straight into using a live assistant, start with the AI Mock Interview first.
Because most people searching Cheat on Everything probably don't actually want to cheat on everything.
They want to avoid that one horrible moment where an interviewer asks something they should know...
and their mind goes completely blank.
If you're looking for more ways to use AI in interviews, these are the most relevant next reads:
Best Real-Time AI Interview Assistants — compare tools built for live interview assistance.
Best Invisible AI Tools for Interviews — compare lightweight and invisible interview assistants.
Best AI Overlay Tools for Interviews — see which tools provide on-screen AI support during interviews.
Linkjob AI Interview Copilot — real-time AI assistance for job interviews.
Linkjob AI Coding Interview Copilot — AI assistance for coding and technical interviews.
AI Interview Assistant for Software Engineers — interview AI specifically for engineering roles.
AI Mock Interview — practice your interview before the real thing.
Cheat on Everything usually refers to the idea of using a real-time AI assistant that can understand what's happening during a live conversation and give you useful information immediately.
For job seekers, one of the clearest applications is a real-time AI interview assistant.
Real-time AI interview assistants can listen to interview conversations and generate suggested responses while the interview is happening.
The quality of the experience depends heavily on response speed, context, answer length, and how well the tool understands interview questions.
If interviews are your main use case, I'd choose a dedicated AI interview assistant rather than a general-purpose meeting tool.
Linkjob AI Interview Copilot is built specifically for real-time job interview assistance.
Yes. Interview-specific AI tools can use information such as your resume, job description, background, and custom instructions to generate more personalized suggestions.
That is usually much more useful than receiving a generic answer to every question.
Coding interviews require additional capabilities because the AI may need to reason about code, algorithms, screenshots, debugging, and system design.
For this use case, Linkjob AI has a dedicated Coding Interview Copilot.
An invisible or lightweight AI interview assistant is designed to provide real-time AI support without requiring you to repeatedly leave your interview and open a separate chatbot.
The main benefit is reducing the friction between hearing a difficult question and getting useful AI assistance.