A better job-search workflow with an AI career agent
Job searching breaks down when every application starts from zero. A career-agent workflow keeps the source evidence, target role, documents, application status, interview notes, and next action connected.
Keep one evidence base
Maintain a detailed master resume and project record. Each application should select from that evidence rather than recreate it. This improves consistency and reduces the chance of accidental invention.
Create one application packet
For a target role, save the job description, tailored resume, cover letter, company notes, and key contacts together. The context should remain available when the posting changes or disappears.
- Target-job snapshot
- Tailored resume
- Matching letter
- Application status
- People and follow-ups
Carry context into interviews
Generate preparation from the exact resume submitted and the role’s requirements. Record questions, stories, interviewers, and outcomes after each round so the next preparation starts from reality.
Turn outcomes into learning
Review patterns across applications and interviews. If the same skill gap or weak story appears repeatedly, create a focused learning or evidence-building plan. Feed completed work back into the master resume.