How to use AI to answer interview questions live
Sergei Skrylkov, Founder, Trippi · 2026-09-20 · 7 min read · facts checked against the product on 2026-09-20
People try this the obvious way first: a chat window open on the second monitor, a question typed in with one hand while the interviewer waits. It does not work — the typing costs more attention than the answer saves. The workflow that does work has three parts, and only one of them happens during the call.
Why the second-monitor chat window fails
Three things go wrong at once. You have to notice the question, retype it accurately, and read a paragraph back — all while your face is on camera. The delay lands at fifteen to thirty seconds, which in an interview is a silence nobody misses. And what comes back is written to be read, not said: long sentences, hedges, three options where you needed one.
The fix is not a better prompt. It is removing the typing and shortening the output, which is what a copilot does structurally rather than by being clever.
Before the call: one line of context beats ten prompts
Whatever tool you use, the single highest-value thing is telling it what this call is. A sentence is enough: the role, the round, the stack, and one or two things about you that ought to come up.
The difference is immediate. Without context, a model answers “tell me about a hard technical decision” with a well-formed paragraph about somebody who does not exist. With one line — senior backend, Go and Postgres, I led a migration off a monolith — it answers with the shape of your own experience, which is something you can actually finish out loud.
In Trippi Cue this is the “About this meeting” field. In anything else, it is the system prompt you set before you join.
During the call: read the first line, then stop reading
The habit worth building is glancing at the opening clause and then looking away. The first sentence gives you a direction; the rest of the answer is yours to build, and building it out loud is what sounds human.
Reading a full answer word for word has a sound — even cadence, no fillers, vocabulary a notch above the rest of your speech. Interviewers notice pattern breaks long before they notice tools.
The three answers you should never say
- Anything naming a tool you have not used. A model will happily attribute Kafka experience to you. The follow-up question arrives ten seconds later.
- Anything with a number you cannot defend. “We cut latency by 40%” invites “how did you measure it?”
- Anything that contradicts your CV. The interviewer has it open. The model does not.
All three come from the same place: a model writing a good answer rather than your answer. Context reduces it; judgement is what catches the rest.
What live AI is genuinely good at
Structure, mostly. It is very good at reminding you that a behavioral answer needs an outcome, that a design answer needs a trade-off, that a case answer needs a cut rather than a list. It is good at catching a question your ear missed, and — if it translates — at removing the delay of hearing a second language.
It is bad at your history, your numbers and anything on a screen it cannot see. That division is stable and worth internalising before the call rather than during it.
The rule question
Whether you may use any of this depends on the interview. Plenty of assessments say clearly that outside help is not permitted, and a tool being discreet does not change that. We take the position that the rules are yours to read — and that the uses worth building for are the ones you would be comfortable describing afterwards.
Our full position is on the responsible use page, including what we will not build.
Trippi Cue
An interview copilot that works inside the call: it hears the question addressed to you, suggests a short answer, and translates the conversation underneath. No bot joins, and it is a browser extension rather than an application.
Answers while the interview is still running.
Trippi Cue is in the Chrome Web Store and starting is free. One click on the icon when the call begins.