A real-time AI copilot for interviews
Interviews are the highest-pressure live work there is: no pause button, no second take, and the interviewer is watching how you think in real time. A real-time copilot is built for exactly this.
What it does during the interview
LivePair sees what's on your screen — the shared code editor, the case prompt, the slides you're presenting — and listens to the conversation. When you blank on a detail, need a framework, or want a sanity check on your reasoning, it answers while the question is still open.
Because it holds a running model of the session, you don't re-explain context. It knows what role you're interviewing for, what you've already said, and what the interviewer just asked.
Technical screens and live coding
In a CoderPad or shared-IDE round the copilot is already looking at the problem. Ask it for a complexity check, an edge case you haven't considered, or a nudge when you're stuck — without alt-tabbing to a chatbot the interviewer can't see anyway on a second screen.
The uncertainty HUD matters here: it shows when the suggestion is solid and when it's extrapolating, so you don't present a guess as a fact to someone who knows the answer.
Preparation, not just performance
The same persistent memory that powers sessions makes mock interviews compound: run a practice round, and the agent remembers which questions shook you, which stories landed, and what to drill next time.
An honest note on fairness
Companies have different policies on AI assistance in interviews — some welcome it, some forbid it, many haven't decided. Know the rules of the interview you're in. LivePair is built for live knowledge work generally; where and whether to use it is your call to make honestly.
What it costs
Prepaid credits from $5 — a typical practice session or live interview runs a couple of dollars of model usage. Live sessions bill $10/hour, 1 to 5 hours, which covers any interview loop. Details in pricing.