Job Discovery
The client turns recurring job-board checks into a structured scan instead of a manual browsing routine.
Career AI / Job Search Automation
A real job hunting workflow that finds roles, scores fit, and generates tailored application materials from a private profile.
Why this belongs in the Lab
It turns a repetitive personal workflow into a product surface: scanning, ranking, evidence matching, review, and application drafting.
Product demo
The English demo shows the product using sanitized SEEK-style job data and a fake candidate profile.
English
Before
Job search lived across tabs, spreadsheets, repeated screening, and rewritten application materials.
Process
Scheduled scans bring in roles, fit scoring prioritises the shortlist, and evidence matching grounds the draft.
After
A focused queue of roles with scores, reasons, and application materials ready for human review.
Product Context
The client is framed around a practical job hunting loop: scan job boards, remove weak matches, compare the role against a private profile, and generate materials that can be reviewed before applying. The public demo uses sanitized data and fake candidate details.
The client turns recurring job-board checks into a structured scan instead of a manual browsing routine.
Each role gets a visible score and rationale so the user can decide where to spend application energy.
The workflow keeps application drafts tied to real experience instead of generic keyword stuffing.
The output is shaped around the role: summary, resume angle, cover note, and review-ready next steps.
The tool narrows the queue and prepares materials, while the final decision stays with the applicant.
The video demonstrates the product behavior without exposing private profile details or local paths.