I built a tool that scores job ads A to F. The hard part isn't the score.
I spent months job hunting this year, and what wore me down wasn't rejection. It was not knowing which ads were real.
So I built WorkstationAI. Paste a job ad and get an A to F "should I apply?" score with a scam and ghost-job check, then CV tailoring, company research, and interview prep built from live research on that company. Free tier, pay per use, launching here on 4 August.
The hard part has turned out to be calibration, not the model. Telling someone "this is a D, don't apply" only works if they trust it. Right now it reads the ad text only, with no live check on whether the company is actually hiring. Flagging a genuine ghost job without crying wolf on every vaguely written ad is the thing I keep rebuilding.
Two questions for anyone who's been through it:
What's your tell for a ghost job?
If a tool told you not to apply, what would it have to show you before you believed it?
I read every reply.
Li You
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