ground-truth/media/ground-truth-film.vtt at main · AndrewAvery7/ground-truth · GitHub

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WEBVTT

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1,577 job listings arrived in Andrew's inbox in three days.

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He didn't read them.

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Something else did —

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with better manners and a much longer attention span.

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It works from the alert emails he already gets —

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no scraping, no bot accounts.

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Twice a day, eight specialist agents read every alert and rank what survives.

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The hard rules are plain code, not AI.

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Rules where rules suffice; models where judgment is needed.

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Aggregators rename titles, inflate pay, and advertise jobs that are already gone.

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Every survivor gets researched back to the employer's real posting.

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Three days in: 40 closed roles caught, 14 ghosts,

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and pay estimates off by 20% or more — 41 times.

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What's left lands on one board:

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26 roles, each with a fit score built from evidence quoted out of the posting and Andrew's resume.

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Not a vibe — a citation.

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And the part Andrew cares about:

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every claim in a tailored resume is checked against the resume he actually has.

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An unsupported line holds the package — not his reputation.

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The system never submits on its own;

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a human names every application.

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Three days. Zero sent. Working as designed.

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Twice a day, the machines read everything and decide nothing.

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Andrew reads almost nothing and decides everything.