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Case study

Entretien AI

  • Next.js
  • TypeScript
  • Tailwind CSS
  • IA

What we did

We designed and built the platform end to end. The CV is parsed to generate questions matched to the candidate's actual experience rather than drawn from a generic bank. Each answer is analysed and returned with feedback on technical accuracy, clarity and delivery. Sessions are scored, so progress is visible from one rehearsal to the next.

Result

Live and open to the public at entretien-ai.com. Shipped: CV-driven question generation, real-time answer analysis, per-session scoring, progress tracking, and role-specific question sets. Built static-first in Next.js, so the first screen renders before any model is called.

Context

Interview preparation is a market full of advice and empty of practice. Candidates read articles about the STAR method, then walk into the room having never said a single answer out loud. Entretien AI closes that gap: a real rehearsal, in the candidate's own field, at their own level.