Job Search & Matching
Searching for a job is mostly rejection you do to yourself. You open the same four boards every morning, run the same keyword, and scroll past listings that are wrong on salary, wrong on location, wrong on seniority, or reposted from six weeks ago. The good one is in there somewhere. By the time you find it you have spent forty minutes and burned the attention you needed for the application itself.
An agent is better at this part than you are, because it does not get bored. Skynet knows your history and your constraints, browses the sources you name, and reads each posting properly rather than pattern-matching a title. What lands in front of you is a short list, each with a plain sentence explaining why it made the cut.
How it works
Define what good looks like
Not just a job title. Salary floor, remote or not, company size, the kind of work you want more of, and the things that are dealbreakers. The agent holds all of it in memory.
Let it browse
The agent searches the boards and company pages you point it at, on whatever schedule you set — every morning, twice a week, whatever fits.
Get a scored short list
Each posting comes with a fit assessment against your criteria and a note on what does not match. The near-misses are labelled as near-misses, not smuggled in to pad the list.
Tune it as you go
Tell it when a match was wrong. It remembers. The list gets sharper over the weeks instead of staying flat.
Build it from a prompt
Set the criteria once, then let it run.
You wake up to a short list instead of a search box. The scrolling is gone, and the hours you were spending on filtering go back into the applications that actually have a chance.