
I did something a bit crazy – I actually cheated during a Lark interview, and I didn't get caught. I tried out a bunch of different AI interview assistants and found the best one, which is Linkjob AI. It took a lot of trial and error to get it right.
So, if you're wondering how to do a Lark interview without getting caught out, I'm here to help. I'll share my success strategy with you, step-by-step, helping you avoid the common mistakes that beginners often make.
If your interview is on another platform, you can also check out my story on bypassing CoderPad detection, or my guides on how to scam your way through Microsoft Teams interviews and how to cheat on Onvue interviews.
Here’s a quick look at some tricks I used:
Utilizing Linkjob AI for both mock and real interviews
Pre-prompting the AI copilot to get better stories around my CV
Getting answers from an invisible AI overlay during the Lark interview
Let’s jump right into the details.

Well, basically, I didn't find much info about the anti-cheat mechanism behind Lark's online interview feature. But luckily, I have some understanding in this field, so I can share some detailed ways to use normal anti-cheat methods with you guys.
Lark's interviews are mostly split up into the following categories:
Video interviews
Phone interviews
Technical interviews (coding interviews)
Gamified Interviews
If you want to cheat in an interview using the latest tech without getting caught, like with a qualified AI interview assistant, the method has to stay under the radar in these situations and be able to keep making real-time suggestions: webcam monitoring, screen sharing, candidate authentication, and audit logs + replay.

Basically, screen sharing has become really common in interviews recently. Almost all online interviews – whether they're behavioural or technical – require candidates to share their full screen. This is also the most common way of stopping cheating, as it's almost like being face-to-face with the interviewer.
The interviewer may also use outside tools to keep an eye out for strange behaviour, like Sherlock AI, which I mentioned in another article (though, of course, Linkjob AI successfully got around Sherlock AI's monitoring).
Here are some things to watch out for:
Often click on particular spots on the screen
Share just one tab rather than the whole screen
Icons for other apps appear in the Dock
The region or time settings aren't in sync with your local settings

The image above shows how Linkjob AI can solve most of the problems you might encounter in an AI interview.
Just launch the tool and let it run in the background. There's no icon in the Dock or any visible signs of Linkjob AI in the Task Manager. And the global hotkeys mean I can do most things with the keyboard instead of the mouse.
This verification process usually happens in one of two ways: either it's really simple, or it's super thorough. Some interviewers like to turn on the webcam for a bit of extra security. This is the more common approach. But other big companies tend to use third-party tools for identity verification, like:
Pre-test photo ID verification
Live webcam snapshots during the session
Dual-stage identity checks
As long as you can make it to the interview in person and don't use a virtual background or avatar, you'll be fine.
Lark can record interviews and automatically generate transcripts and summaries, which are then sent to the interviewer as video files.
Usually, if an interview is going to be recorded, they'll ask the candidate if it's OK before it starts. Then, after the interview, they might give them a third-party interface so they can give feedback.
Some companies prefer to use HR SaaS providers, using the various features of their ATS to track interview progress and review interview recordings. But this is mostly just a way of storing records. Unless there's clear misconduct during the interview that's flagged as cheating, this won't be raised as a potential issue during a review.

From my experience, camera monitoring has two main uses: it helps people talk to each other and spot anyone who's cheating. But whatever monitoring mechanism the interviewers use, its main job is to check if your facial expressions look natural.
I think the following actions could be a sign of cheating:
Looking down repeatedly
Turning your head or turning away frequently
Staring at a certain spot on the computer screen without making eye contact
Trying to block the camera
Looking panicky, guilty or nervous
I'm going to position the answer window right below the webcam and scroll through the answers at a steady pace. This should make it look like I'm just browsing the content shared on the screen (Using keyboard shortcuts is the best way to do this). I would also make sure to include pauses and keep eye contact with the interviewer. This'll make my eye movements look much more natural.

When I started figuring out how to cheat on lark interview, I knew I needed the right tools. I picked AI assistants like Linkjob AI and its feature of coding helpers that could give me fast, smart answers.
Many companies, including big names like Google and Amazon, actually encourage candidates to use AI tools during interviews. This shows you can adapt to new tech. I made sure to test out different tools before the big day. Some tools work better for coding, while others help with writing or brainstorming.
Here’s a quick comparison I found useful:
Feature | Traditional Coding Tests | Watch-them-Work Tasks |
|---|---|---|
AI cheating risk | Very high | Low |
Predicts actual job performance | Weak | Strong |
Tests real workflow | No | Yes |
Candidates can memorize answers | Yes | No |
Candidate completion rates | Low (45-60 min tests) | High (20-min tasks) |
Scales across 200+ skills | Limited | Yes |
I always chose tools that blended in with my workflow and didn’t make my answers sound robotic. Pre-setting the AI tools is also important, and Linkjob AI requires more self-setting to improve content quality.
Setting up my space was just as important as picking the right AI. I wanted to avoid any red flags during the interview. Here’s how I prepped my environment:
Restarted my system to clear out any suspicious background processes.
Used a clean browser profile with only the essentials.
Made sure my webcam and mic worked perfectly.
Ran Linkjob AI beforehand and tested it to make sure everything was ok
I also paid attention to camera angles and avoided using dual screens if the company didn’t allow it. I closed all unnecessary apps and disabled browser extensions that might get flagged.
And also, I practiced typing code naturally, showing my thought process step by step. Some interviewers focus more on the logic of the code and use different tools to spot AI-generated content in the output. Obvious signs of AI-generated code, like using too much syntactic sugar, will be picked up on.
Now, here’s a secret most people won’t tell you about how to cheat on a lark interview: connections matter.
Did you know that 85% of jobs get filled through referrals or networking? That means using connections is actually less risky than trying to fake your way through technical questions.
Tip: Avoid scripting your answers for pre-recorded interviews. If you sound too perfect or your answers don’t match your live responses, you’ll get caught. Practice being flexible and natural instead.
I kept these steps in mind every time I planned how to cheat on lark interview. With the right tools, a smart setup, and a little help from friends, I felt ready for anything.

I knew that interviewers watch for certain behaviors that can give away cheating. To stay under the radar, I paid close attention to how I acted on camera. Here’s what I focused on:
Behavioral Sign | Description |
|---|---|
Repetitive eye movement | Looks like I’m reading from notes or another screen. |
Audio delays | Makes it seem like I’m waiting for outside help. |
Mechanical responses | Sounds like I’m not really engaged. |
To avoid being caught out, just do the opposite:
I try to avoid pausing too much and looking around when I'm answering someone's question.
I can go on and on in my answers, but I never suddenly blurt out or copy-paste a long string of perfect answers.
Make sure you know the keyboard shortcuts beforehand, and try to act like you're thinking and trying to come up with an answer.
Have a chat with the interviewer, nodding, smiling or thinking hard are all totally normal things to do.
Lark and other companies use advanced tools to catch candidates who cheat with AI. I learned how to cheat on lark interview without getting flagged by these systems. Here’s what I did:
Checked which applications were running on my computer before the interview. Some companies use desktop apps that monitor everything in real time.
Avoided opening any suspicious programs or browser extensions during the interview.
Made sure my answers didn’t match public solutions or popular coding platforms too closely. AI plagiarism detection tools compare my code to huge databases and flag anything that looks copied.
Wrote my code step by step, showing my thought process. This made my work look original and less like something I copied and pasted.
Here’s what these detection tools look for:
Feature | Description |
|---|---|
Advanced Algorithms | Spot similar code structures and patterns. |
Copy/Paste Pattern Recognition | Flag large blocks of pasted code. |
External Source Indicators | Notice code with different formatting or style. |
Rapid Completion Analysis | Check if I finished too quickly for the problem’s difficulty. |
Unnatural Development Flow | Look for code that skips logical steps. |
I always tried to blend AI-generated help with my own style. I edited answers from Linkjob AI so they matched my usual way of coding or writing.
When I asked Linkjob AI about the logic behind the code, it gave me real-time code generation logic. It's been listening to the whole interview in the background and has written down everything the interviewer and I said, making sure I don't go off topic.
Sometimes, interviewers notice signs like repetitive eye movement, audio delays, or mechanical answers.
One interviewer asked why I needed to think about every question, since some of them were clearly simple common sense to him. For me, I was just waiting for Linkjob AI to give me the most suitable answer that matched my CV.
At that time, Linkjob AI's functionality was a bit unstable. That led to delays in both responses and transcription. But after they updated it, the developers brought out the new Gemini Flash 3 model, which has faster response times. Since then, no interviewer has ever asked me why my responses were slow during a Lark interview.

I've got a set of response templates for these questions that I adapt based on the context of the interview. Like, when I was talking to that interviewer I mentioned, I said that I think even the smallest issues need my careful attention. I mean, if I don't handle a small job properly at work, it could mess up a much bigger project.
If an interviewer asks why my gaze keeps shifting, as if I'm looking at something else, I'd explain that I'm just reviewing the question over and over or thinking it through carefully.
These explanations often require a bit of improvising, but as long as you keep a consistent tone and reasoning, you'll probably be fine.
Technical glitches can ruin an interview. I always have backup plans ready. Here’s what I do:
Keep a mobile hotspot nearby for internet problems.
Use a clean browser profile to avoid crashes.
Restart my system before the interview.
Common issues include communication challenges, trouble assessing nonverbal cues, cheat-proofing interviews, evaluating coding skills, and internet disruptions. I solve these by speaking clearly, focusing on facial expressions, keeping my video on, and using online coding tools.
Backup Strategy | Description |
|---|---|
3-2-1-1-0 Backup Strategy | Keep three backup copies of your data on two different locations and one at an offsite location to recover from data loss. |
Centralized Backup Monitoring | Use a system to continuously monitor, control, and manage backups from a remote device. |
Automated Cloud-Based Backup | Implement a cloud-based backup and recovery system using tools like SyncBackPro, which supports various cloud services. |
I double-check every answer before using it. If something looks off, I ask my helper or search for a better solution. I never trust AI blindly.
I read the answer out loud first. I change words to match my speaking style. I add my own thoughts. This makes my response sound more natural.
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