Is LockedIn AI Detectable? Tested Claims (2026)

Is LockedIn AI detectable during a real interview? That depends more on which product you're using than the marketing suggests. In March 2026, Interview Sidekick published a review listing LockedIn AI's Trustpilot score as 3.7 out of 5 from 76 reviews (interviewsidekick.com/blog/lockedin-ai-review), a gap from the 4.8 the company shows on its homepage. Part of what's behind that gap, per the review, is a cluster of complaints about the tool being visible during screen share. Not a majority complaint. Enough to notice.

LockedIn AI's TikTok bio describes the product as fully undetectable, stronger than the hedged phrasing on lockedinai.com itself: "operates quietly," "runs invisibly." Whether that gap matters depends on how literally you take marketing copy.

What "fully undetectable" covers, and what it doesn't

LockedIn AI runs at least three products under one account: the interview copilot, a coding-specific copilot, and LockedIn Duo, a dual-model mode for shared-screen calls. The stealth claim doesn't apply identically across all three, and the marketing rarely spells out which product a given claim describes.

For the standard copilot, LockedIn AI's own language reads as a background-process description, not an absolute guarantee. For Duo, the framing is stronger: "the interviewer sees only you and your normal screen share. There are no LockedIn AI overlays, no helper presence." That's structurally different, since Duo isn't rendering an overlay at all, per that description. The TikTok bio compresses all of it into one absolute line.

How the stealth mechanism is supposed to work

The core copilot and coding copilot use a native desktop app that renders its interface at the OS level, outside the window layer screen-capture APIs read from. When Zoom, Teams, or Meet asks the OS what's on screen to build the feed sent to other participants, a properly excluded overlay doesn't show up. It's a real technique, not marketing fiction. Cluely, Final Round AI, and LastRound AI's own desktop copilot all use variations of it.

What it doesn't cover is anything outside that capture-API path. A local recording grabbing frames at a lower graphics layer can still pick up what the exclusion hides, and lockdown-browser proctoring scans running processes instead. None of this is specific to LockedIn AI; it's how overlay-based stealth behaves generally, which is why "undetectable" needs a scenario attached before it means much.

LockedIn Duo is the interesting exception, and it deserves credit on its own terms. If the company's description holds up, and I haven't tested it myself, Duo doesn't render a hideable overlay at all: the model works from audio, nothing for a capture API to catch. That's a genuinely different architecture, one LastRound AI doesn't currently have a direct equivalent for.

Detection risk by scenario

Risk levels below come from LockedIn AI's own product descriptions plus patterns reported in the Interview Sidekick review, not independent lab testing.

Where the claim holds up, and where it doesn't

Two things earn genuine credit here.

• Native desktop architecture, not just a browser layer. The core copilot and coding copilot use the same class of OS-level rendering as more credible competitors.
• LockedIn Duo's no-overlay design. Coaching from audio instead of an on-screen overlay is a sound answer to the recording-visibility problem, assuming it functions as described.

• "Fully undetectable" outruns the language used elsewhere. The hedged phrasing on lockedinai.com itself suggests the company knows the claim doesn't hold every time.
• Reddit reports of visibility during screen share. The March 2026 Interview Sidekick review cites Reddit users describing the tool being seen by an interviewer, a direct contradiction of "fully."
• A ratings gap worth knowing about. On-site 4.8 versus Trustpilot's independently collected 3.7 from 76 reviews is a meaningful spread, worth weighing before trusting the testimonials page.

The user-count question nobody's reconciled

LockedIn AI's homepage states "1M+ users." Elsewhere, in interviews and the company's own author bio, the figure given is "100,000+" job seekers, roughly an order of magnitude apart. Not a detection issue by itself. It matters because the same caution about self-reported audience size applies to self-reported detection performance: two user counts in two places is a reason to verify the stealth claim rather than take it on faith. Our full LockedIn AI review covers this and the rest of the product in more depth.

How to test your own setup before a real interview

• Join a call from a second device you control. Screen-share from your interview machine with the copilot running, then check the live feed and a recording.
• Use the exact platform your interview will run on. Zoom, Teams, and Meet capture screens differently.
• Watch the recorded file, not just the live view. Some visibility issues surface in a recording that never appeared live.
• Use the free tier before paying. Jobright.ai reports a signup credit plus roughly ten free minutes daily, enough runway to run this test for free. LockedIn AI's pricing page geo-serves INR with rotating discounts, so exact figures are reported, not confirmed (jobright.ai/blog/lockedin-ai-pricing). Our own free interview tools are another way to check your setup without a subscription decision first.

Frequently asked questions