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Interview prep

Multi-track prep: frontend, backend, system design, DevOps, mobile, data/ML, security — with industry bar, Q&A cards, copy/share, and local self-ratings.

Choose 1–4 tracks and an industry calibration (startup vs big tech vs enterprise). Candidate mode returns per-track questions with reference answers and a study plan. Hiring mode returns a scorecard, rounds, and rubric-style questions. Star ratings are stored only in your browser.

How this works

  • Output is structured JSON from the model, then rendered as cards so you can copy one question, the full Q+A, or share via the device share sheet when available.
  • Framework focus (e.g. React) nudges frontend questions toward that stack when you select Frontend.
  • Hiring mode emphasizes lawful, job-related questions; pair with your HR guidelines.

Hiring? Draft the role with the Job post generator.

Mode
Tracks (1–4) — frontend, backend, system design, DevOps, …

Tip: pick Frontend + type “React” below for React-focused questions.

Self-ratings are stored only in your browser (localStorage). They are not sent to our servers.

FAQ

Will this cover my company’s legal interview rules?
No. Use your HR and counsel for jurisdiction-specific requirements.
Where are my star ratings stored?
Only in your browser (localStorage) on this device. They are not sent to Torq Studio.
Candidate mode: is this enough to pass?
It is a study scaffold. Deep practice, real system design, and coding practice still matter.

AI-generated drafts: verify facts before sharing externally. Not legal, financial, or investment advice. How we handle data.