A copilot can whisper answers. It cannot sketch and talk at once.
Live AI overlays read the question off a screen and whisper back an answer. Interview integrity here is not one detector: it is how the questions are built, how attention is divided, and what runs underneath the session.
- Divided attention by design: drawing, narrating and answering, at the same time.
- Questions built to resist a script: private context, novel work, dynamic follow-ups.
- Integrity signals run underneath the session, and never decide anything on their own.
how the system behaves, not a benchmark
A fluent answer is not a demonstrated one.
Sounding right in the moment is exactly what a copilot is good at. Thinking on your feet without one is a different thing, and it is the thing the interview is built to surface.
Divided attention, not memorised answers
A whiteboard section asks a candidate to sketch a system while narrating it, cursor and voice at the same time. Reading answers off a hidden screen does not leave a hand free to draw.
Novel by design
Questions probe private organisational context, use work samples the candidate has not seen, and build each follow-up on their own prior answer — so a pre-scripted answer breaks down two turns in.
The layer underneath: AgentR Guard.
Everything above is about how the interview itself resists a copilot. Guard is about the machine it happens on. A desktop app for macOS and Windows, running for the length of the session, watching the environment rather than the answers.
- the machineProcesses, windows and screen capture, read at OS level
An overlay built to hide from screen sharing is still a process on the machine, still drawing a window, still reading the display. That is the layer Guard sits at, which is why a tool designed to be invisible to a video call is not invisible to it.
- the networkWhere the machine is talking during the session
An answer arriving from somewhere is traffic before it is ever text on a screen.
- camera and micWho is in the room, and who is speaking
A second face, a phone held below the desk, a voice that is not the candidate’s.
- the roomIt can hold the session shut until the machine is clean
When something is found the interview stops, rather than carrying on compromised, and reopens once it clears. That is a pause and a marker for a person to review. It closes a room; it never closes the door on a candidate.
It works when a person is asking the questions too
Guard is not tied to the AgentR interview. Run it alongside a human interview on whatever call software you already use, and the same layer is watching for the same overlay tools. The conversation stays yours. Only the machine is checked.
What a session gets read as.
Not every mechanism that protects an interview is published, and that is deliberate. What is fixed is how the reads are defined, and that no single soft signal reaches one on its own.
- cleanNo anomalies across any layer
The default read for the overwhelming majority of interviews.
- minor flagOne soft signal, on its own
A pause, a glance away. Logged, and not enough by itself to mean anything.
- elevated concernMultiple signals corroborating each other
Several soft signals lining up in the same direction, worth a look before you decide.
- confirmed anomalyHard evidence, not an inference
Something like clipboard content matching text found elsewhere. Rare, and clearly flagged when it happens.
What it will not do.
- It will not flag or fail a candidate off a single soft signal alone. Corroboration across layers is required.
- It will not show the candidate which mechanisms are active, or show recruiters a raw signal-by-signal log. Only a categorical read.
- It will not replace the recruiter's judgement. It surfaces integrity concerns; a human makes the call.
- It will not penalise normal nervousness or an unusual setup as if it were cheating.
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Kusum Rajput · Human Resource Associate