Career memory
Confirmed career facts can guide later resume feedback.
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Preparing your workspace.
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Preparing your workspace.
Resume strategy
Other Candidate can compare resume structure with mailbox signals like interviews, offers, repeated rejections, role families, and confirmed career facts.
Confirmed career facts can guide later resume feedback.
Interview, offer, rejection, and role patterns shape strategy.
Feedback can target gaps shown by real applications.
Mailbox evidence keeps recommendations grounded.
Workflow
Extract contact, experience, education, skills, and projects.
Summarize target roles, outcomes, signals, and memory facts.
Review resume sections against current search context.
Recommend next actions without overwriting source evidence.
Candidate outcomes
Resume advice can reference actual applications, interviews, and repeated outcomes.
Skills, projects, education, and experience can be reviewed against current target roles.
Confirmed career facts and corrections can guide future resume and search strategy work.
FAQ
Mailbox outcomes show which roles, companies, and stages are responding. That gives resume feedback a concrete job-search context instead of generic advice.
No. Resume extraction and review keep source material separate from structured recommendations and corrections.
Yes. Resume intelligence can use bounded mailbox and application context such as target roles, interview signals, repeated rejection patterns, and confirmed career facts.
The workspace can structure and review contact, summary, experience, education, skills, projects, and section-level recommendations against the current job search.
Yes. Resume import supports resume text and PDF/image paths with extraction metadata so users can review the structured result before trusting later recommendations.
No. The point is to connect resume review with real application outcomes, recruiter signals, role families, and confirmed memory instead of giving the same generic checklist to everyone.
No. Resume strategy uses bounded context and source-backed signals. The product should keep raw Gmail bodies out of normal model telemetry and user-facing recommendations.