Write job posts, screen resumes, and build interview questions that find the right person.
Most hiring mistakes don't announce themselves. The wrong candidate signs the offer, starts on a Monday, and the cost shows up months later as missed targets, a frustrated team, and a manager quietly rewriting the job description.
A new opening hits your desk: a mid-level operations analyst, replacing someone who gave notice on Friday. The hiring manager wants a slate of finalists in three weeks. This time you're not guessing.
Your job post is the only document the candidates you want and the candidates you don't both read at the same time. You'll write it to draw the right people and filter out the rest, instead of speaking to neither.
You can spend forty minutes with a candidate, the conversation flowing easily, and still learn nothing that predicts performance. You'll build questions that surface real evidence instead of rapport.
With five debrief sheets on the desk and three finalists who cleared the panel, you'll score them on the same axes — so you're genuinely comparing, not just ranking impressions.
When a candidate you screened out replies asking why they weren't moved forward, you'll open the applicant tracking system and find a decision you can defend — not a vague co-pilot summary that reads "weaker fit on stakeholder management.".
Before you change anything, find out where you actually stand. Rate your most recent real hire — not the one you wish you'd run — on each line from 1 (didn't happen) to 5 (done well and written down). One line: the role had a written definition of success — specific outcomes, not a duties list — before the post went live.
The five lines aren't random — they map to the five stages the book builds: define, post, screen, interview, decide. Your lowest-scoring line shows you where to focus most.
The AI drafts and summarizes; you verify and decide. Never let a tool reject or rank a candidate without a human reading the underlying evidence. Treat confident output as unverified until you check it against a source, and give the co-pilot your standards — never ask it to invent them.
The split has two axes: how repeatable and rule-bound the task is, and how high the stakes are if the AI gets it wrong. Drafting a post is repeatable and low-stakes when you review it — a good fit for the co-pilot. Making the final hire is judgment-heavy and high-stakes — yours alone.
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