InterviewWatch vs Lefts

The InterviewWatch agent flags AI assistance, hidden overlays, extra displays and remote control during a live interview, then signs a tamper-evident report.

Lefts is a very simple domain specific language for building complex machine learning workflows from simple ones.

About InterviewWatch

The InterviewWatch agent flags AI assistance, hidden overlays, extra displays and remote control during a live interview, then signs a tamper-evident report. An agent runs on the candidate's machine during the interview and flags AI assistants, hidden overlays, remote control and virtual devices as they appear. Why it matters Interview cheating stopped being an edge case. If your interviews aren't monitored, you may already be extending offers on answers that were never the candidate's. Across 19,368 technical interviews, 38.5% of candidates were flagged for AI-assisted cheating, and the rate climbed from 9% to 45% in a single quarter.

About Lefts

Lefts is a very simple domain specific language for building complex machine learning workflows from simple ones. Starting with your favourite machine learning models, you can use Lefts operations to:. Without making subsequent model fitting, evaluation or experimentation any more complex than it was with the original model. This implementation is built on top of the excellent Polars DataFrame library. E nsemble: Takes a set of models and makes them evaluate as one. F eed: Allows the output of one model to be used as a feature or target by another.