process 01Smarter ScreeningRead and score every application, not just the top of the pile. 02Better ShortlistingRank on twenty signals, with the evidence behind each one. 03Faster SchedulingNo calendars, no slots. One link, good for fourteen hours. 04Fairer InterviewsQuestions built from the role, answers scored against a written rubric.
use cases 01Resume VerificationEvery claim read in context, not lifted out as a keyword. 02AI Cheating PreventionBuilt for the copilot era: divided attention, novel questions. 03Volume ScreeningThe same rubric for applicant one and applicant a thousand. 04Pre-BGV FilterA consistency check before formal verification spend.
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use case · AI cheating prevention

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.
interview integrity · live
Cluely Overlay reading answers off-screen
✕ blocked
Parakeet Hidden transcription assistant
✕ blocked
Unrecognised overlay Screen-capture signature detected
✕ blocked
3layers of interview integrity
~25mintypical interview length
6section types available in an interview

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.

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.

What it will not do.

“The detailed, evaluation-backed rankings bring a new layer of trust to every hiring decision, something traditional ATSs often miss.”

Kusum Rajput · Human Resource Associate