AI Resume Diagnostics

AI resume writing &on-device review

Measured against HR screening preferences and ATS parsing habits—evaluate resume strength across keywords, layout, and quantified wording.

Resume text is analyzed on-device only—never uploaded to our servers
0 Overall score

Good — minor tweaks

Calculated live from your current workspace resume

Breakdown Based on last save
Keyword match
0%
Layout & length
0%
Quantified wording
0%
ATS-friendly
0%

Low keyword coverage

This version uses few high-frequency terms for the target role, which may lower your ATS first-pass rate.

Layout and length

Keep it to a single A4 page with clear whitespace and heading levels so HR can scan it quickly.

Quantified results

Your experience already includes several data-backed results—strong persuasion. You can still add team size and project duration.

Role keyword check

Compared with common product manager JD terms: green is covered, amber is suggested.

Suggested
User growth ROI Team leadership Monetization
Covered
Product design Data analysis Agile B2B SaaS User retention

Re-run review

Refresh the score and per-item tips from your current workspace. Run again after you edit.

One-minute intro

Compress your resume highlights into an interview opener—clear structure you can memorize or tweak.

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AI resume writer — the analysis stays on-device

Check keywords, one-page length, quantified results, and ATS readability. On supported Chrome, the model runs locally. For sentences, see write to the job and ATS-friendly format.