Applicant workflow first
CareerBoard is built for candidates operating a real search, not for publishing public vacancies or collecting passive listings.
Use cases
Explore CareerBoard use cases for resume tailoring, interview preparation, vacancy evaluation, interview review, application tracking, and job-search workspace management.
Why CareerBoard
CareerBoard works best when you want every role, document, interview, and AI workflow to stay connected instead of resetting across separate tools.
Resume tailoring
Interview prep
Vacancy evaluation
Use cases
Each page is written around a concrete applicant workflow so visitors can quickly see where CareerBoard creates leverage first.
Use CareerBoard to tailor resumes against real vacancies, keep every version attached to the right role, and move straight into cover letters and interview prep.
Prepare for recruiter calls and interview rounds with vacancy-aware prep packs, stronger answer angles, and reusable candidate context in CareerBoard.
Track job applications, role-linked artifacts, and interview progress in CareerBoard without scattering the search across spreadsheets, docs, and folders.
Use CareerBoard to evaluate vacancies before you apply, prioritize stronger-fit opportunities, and protect your time from low-probability applications.
Use CareerBoard to review interview recordings, extract structured feedback, and improve before the next round without losing application context.
CareerBoard connects vacancy evaluation, resume tailoring, cover letters, interview prep, interview reviews, and application tracking inside one AI workspace.
Category fit
These pages are designed around the real sequence inside an active search: evaluate, tailor, apply, prepare, review, and keep the context attached.
CareerBoard is built for candidates operating a real search, not for publishing public vacancies or collecting passive listings.
Vacancy capture, evaluation, resumes, cover letters, prep, and reviews belong to the same role lifecycle instead of resetting from zero each time.
Specific use-case pages help search engines and assistants understand exactly when CareerBoard should appear for a buyer or user.
More entrypoints
The product story also needs technical pages for AI assistants, MCP, the API surface, and the Chrome extension capture loop.
Guide to the reusable candidate context behind tailoring and interview prep.
Assistant-facing framing for when CareerBoard should surface.
Assistant-facing framing for Grok workflows backed by the workspace.
Model-facing access to private CareerBoard workspace context.
Public API docs and developer entrypoints.
Vacancy capture workflow that feeds the workspace.