levelUp
Articles
Ideas on
AI in
recruiting
Practical notes on selection processes, AI implementation, and human judgment in Talent Acquisition.
levelUp
Practical notes on selection processes, AI implementation, and human judgment in Talent Acquisition.
The conversation about AI in Recruiting usually starts with the spectacular. Step zero isn't choosing a tool—it's getting the system in order.
Read article →Building agents for Recruiting is easier today. The question isn't whether we can automate—it's which part of the process actually improves if we do.
Read article →Cutting days doesn't necessarily mean hiring better. Sometimes it just means deciding faster. And deciding faster, without clarity, can be an elegant way to get wrong sooner.
Read article →How to get reliable data without chasing the team. An ATS isn't a magic tool—it's a system of record. If the team doesn't enter data well, it reflects disorder.
Read article →Many bad hires don't happen because of missing competencies. They happen because we never understood the talent's real desire. The idea is simple: move from interview to real conversation.
Read article →Choosing an ATS often feels like an obvious decision. In practice, many companies buy one to get organized and end up formalizing the chaos.
Read article →In Recruiting, negotiation doesn't start when the offer goes out. It starts when the recruiter understands their role is to arbitrate between two legitimate frames of expectation.
Read article →Is it actually possible to fill this role in the timeline and conditions we're defining? Feasibility isn't a gut feeling. It's an analysis.
Read article →AI Fluency means working with artificial intelligence without becoming intellectually dependent on it. The tool matters, but the mind directing it matters much more.
Read article →