Interview Prep
Practicing for a specific company
Giving the AI enough context to ask the questions you will actually face.
A generic session produces generic questions. Given the company, the role, and the posting, the AI can shape both its questions and its follow-ups to the seniority and industry you are actually interviewing for.
Setting it up
- Enter the company name and the exact job title from the posting.
- Paste the full job description. This is the single largest improvement you can make to a session.
- Select the resume version you sent that employer, so the questions come from what they actually read.
- Add anything you know about the format: panel, take-home follow-up, who you are meeting.
Why the posting matters so much
A job title is ambiguous; "Product Manager" covers everything from a first PM role to running a portfolio. The posting resolves it. It states the seniority, the responsibilities that matter to this team, and the requirements the interviewer has been asked to probe. Without it the AI guesses at a level, and questions pitched at the wrong seniority are not useful practice.
Getting more out of it
- Run a session per round rather than per company. A recruiter screen and a hiring-manager round need different preparation.
- Practise against the resume version you actually sent, because the interviewer will ask about what is on it.
- Add your key documents to the Knowledge Base first, so questions can reach your real projects rather than only the resume summary.
- After a real interview, run a session on the questions that caught you out, while you still remember them.
The AI does not have inside knowledge of any employer's interview process. It infers a likely format from the role, the industry, and the posting. Treat it as well-informed rehearsal, not as a leaked question list.