The platform
From job posting to interview day — in one workflow
JobsOptimizer follows one clear flow: add your CV + one job posting, run optimization, then open Interview Lab from the same run. Each output stays tied to that exact application so you do not lose context between steps.
Who this is for
- You apply to real openings and want each application to be role-specific.
- You want clear outputs (not vague AI text): optimized CV, prep questions, and practice guidance.
- You prefer pay-as-you-go credits over recurring subscriptions.
JobsOptimizer
Purpose-built for one application at a time: align your CV to the real posting language, keep ATS-safe formatting, and see a clear match readout before you apply.
- Job URL or pasted description, plus your CV file (PDF/DOCX).
- Full-document optimization output with export when unlocked (not a shallow line edit).
- Best used when you apply intentionally to selected roles (quality over volume).
Interview Lab
Interview Lab opens after optimization on that run. It uses the same CV + posting context to create likely questions, risk flags, and practical answer direction.
Sign in required to save runs and use Interview Lab. You can preview first, then sign in when you want full outputs and history.
This is the exact order most users follow. Default mental model: one job in, one optimized application out, then interview prep from that same source — no detours.
- 1
1) Add CV + target job
Action: paste a job URL/description and upload your CV. Output: one shared context for the rest of the flow.
- 2
2) Run role-specific optimization
Action: start optimization on that pair. Output: ATS-safer CV rewrite, clearer bullet language, and a match signal for that role.
- 3
3) Open Interview Lab on the same run
Action: generate prep and practice from that run. Output: likely questions, risk flags, and practical answer direction tied to the same application.
What you get after each step
- After optimization: revised CV output, alignment signal, and export-ready result.
- After Interview Prep: role-specific question set, risk lines, and answer direction.
- After practice turns: iterative feedback tied to the same job context.
What happens in Interview Lab
- Input: your latest optimized run (same CV + same job posting).
- Prep output: likely interview questions, weak/risk areas, and answer strategy directions.
- Practice mode: follow-up turns stay in the same context instead of generic question banks.
Simple credit balance
New accounts include 9 starter credits. A full optimization run uses 3 credits; an Interview Prep generation uses 2. No subscription required: top up only when needed.
GDPR-friendly processing — your documents are used to generate your outputs, not to train public models.