Sherlock is praised for its effectiveness in combating AI-assisted cheating during remote interviews, a growing concern in the digital age. Users appreciate its ability to maintain interview integrity, allowing talent acquisition teams to focus on genuine interactions. However, some users report issues with integration, specifically with Google Meet, and difficulties in reaching customer support. Overall, Sherlock is seen as an essential tool for ensuring fairness and authenticity in remote interview processes.
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I would ask for some free credits!
@aryansharma17 We’ve already added a free plan so you can try Sherlock out. Feel free to explore it and let us know what you think - we’d love your feedback.
https://www.withsherlock.ai/
works perfectly to help us screening good candidates
Sindo
Congrats on the launch of Sherlock! This is a timely and much-needed solution—AI-assisted cheating is becoming a real challenge in remote interviews, and it's great to see a tool that tackles it head-on without compromising the interview experience. Love the multi-modal approach using vision, hearing, and reasoning to ensure integrity.
How does Sherlock balance between detecting assistance and avoiding false positives, especially in high-stakes interviews?
@susaana_s Thank you so much! Really glad the vision behind Sherlock resonates with you 🙌
Balancing detection with fairness has been a core focus for us from day one. Sherlock assigns confidence scores to every potential detection so hiring teams can make the final call, especially in high-stakes interviews.
We’ve also trained it on real-world cheating scenarios and continuously refine it using feedback from actual interview environments. That’s helped us achieve a false positive rate of less than 0.3%, one of the best in the industry.
And for added transparency, teams can always review the full interview recording alongside Sherlock’s insights to validate anything that’s flagged.
Manna
Brilliant concept - detection through reasoning patterns! What's the false positive rate? Can we manually review flagged moments before making hiring decisions?
@desmond_ren1 Thanks! Really glad you liked the concept.
Sherlock has an industry-leading false positive rate of less than 0.3%. We continuously refine our models to ensure legitimate candidates aren’t flagged unfairly.
Each detection comes with a confidence score, so in borderline cases, you always make the final call.
And yes, if you’d prefer, you can manually review the full screen recording to validate anything flagged.
Happy to share more if you're curious! 😊
VenEx
Much needed! Thank you for creating this
@avi_agr Thanks so much! Hearing this makes all the effort totally worth it.
Raycast
The AI arms race escalates!
@chrismessina The AI arms race escalates...
But don’t worry, Sherlock came prepared. No AI trick slips past this detective. 🕵🏻♂️
Userology AI
@shrey_khokhra1 Thank you so much, Shrey!