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AI for Job Search

Interview Preparation

The gap between knowing your work and explaining your work under pressure is bigger than anyone expects. You have the experience. Then someone asks you to walk them through a project and you ramble for four minutes with no structure, no numbers, and no point. The fix is repetition, but repetition needs a partner, and asking a friend to run mock interviews four nights in a row is a lot to ask of a friendship.

Skynet is a partner that never gets tired of the question. It reads the job description and your history, asks what this company would plausibly ask, and pushes back when you dodge. Afterwards it tells you which answers were weak — specifically, not kindly.

How it works

step 01

Give it the role

The posting, the company, the interviewer’s title if you have it. The agent works out what this particular loop is likely to probe: system design, stakeholder conflict, the gap on your resume.

step 02

Run the interview

It asks. You answer. It follows up on the vague parts the way a real interviewer does — what was your role specifically, what was the number, what would you do differently.

step 03

Read the feedback

Per answer: what landed, what was hand-wavy, where you buried the point. It flags the stories that need a clearer structure and the claims that need a number attached.

step 04

Go again

Same questions until they are smooth, then harder ones. Because your history is in memory, it remembers the answers you have already tightened and stops asking about those.

Build it from a prompt

Set up the mock and start.

After four or five runs the answers stop being improvised. You walk in having already said the hard parts out loud, which is most of what confidence actually is.

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