Guides
Interview prep from the same job context
Generic question banks ignore the employer, the level, and the story on your actual application. Interview Lab is designed to stay anchored to the run you just built.
Updated May 2026 · Editorial guide
One application, one thread
After you complete an optimization against a posting, that CV + job text pair is the contract for what you told the company you are. Interview Lab generates prep from that same thread — so questions, risks, and practice prompts reflect the role you applied for, not a random “top 50 interview questions” list.
What Interview Prep produces (in the product)
When you generate Interview Lab prep on a run, you get structured outputs grounded in that run’s CV + posting (not a disconnected chat). At a high level, expect:
- Opening pitches — an all-around pitch plus HR-leaning and technical variants, written so you can rehearse aloud and trim to your natural voice.
- Likely questions — role-shaped prompts with why they show up, answer strategy, and optional anchors back to lines in your materials or the posting (so you can verify claims).
- Risk flags — skeptical interviewer reads, evidence tied to what you wrote, mitigations, and a short “next 24 hours” plan to tighten weak spots honestly.
- Quality readout — a compact confidence signal so you know when to trust the prep as a first draft vs. when to re-run after improving the CV/posting pair.
Practice mode (evaluated answers)
Practice is a separate step from prep generation: you answer a suggested question in your own words, and the product returns structured feedback (strengths, improvements, a tighter rewrite suggestion, and a follow-up probe). Credits and daily limits for practice are summarized below.
What you still have to do
AI guidance is not a substitute for verifying facts, practicing aloud, and tightening stories against your real experience. Use outputs as structured drafts you refine — especially for claims about impact and ownership.
Credits and expectations
Interview Lab prep consumes credits per generation; practice consumes credits per evaluated answer. Starter credits let you try the flow before you buy a pack. Account-level daily caps can still apply for fair use. See pricing for current credit costs, packs, and limits.
Where to start in the product
Run an optimization from /optimize, then open Interview Lab from that run when you are signed in. The platform overview explains the sequence end-to-end.
Related: Tailoring your CV · ATS checklist