Jan Tegze has an agent named Bob. Bob runs his research, watches his market, finds people outside the sites everybody else is on, and keeps his follow-ups straight. Most of that is done by the time Jan opens his laptop.

So what does a recruiter’s day look like when the research is already done? How do you decide which parts of your work are worth handing over, and which ones lose something the moment you do? What does an agent get wrong, and how would you catch it? And how much of this comes down to the technology, versus how you think about your own week?

This is an Ask Me Anything, so the hour belongs to you. Jan will walk through what he’s built, the thinking behind it, the work he handed over, the work he took back after trying, and what changed about his week once the agent was running. Then he takes your questions. Built for recruiters and TA leaders who want a straight account of what an agent does all day from someone who runs one every day.

Come with a question. Leave knowing what’s worth trying in your own week.

Attendees Will Learn:

What Bob handles on a normal day: sourcing research and talent mapping, market and company intelligence, briefings before hiring manager and candidate calls, and first-draft outreach in Jan’s own voice
How Jan decides which parts of recruiting work are worth handing over, and which ones lose something the moment you do
The work he automated and then took back, and what that taught him about where the line sits
How he checks the agent’s work, and what he has learned never to take at face value
What he keeps out of the system entirely, and how GDPR and candidate trust shaped that decision
What changed about his week once the agent was running, and what a recruiter can reasonably expect from one

This AMA is a preview of Jan’s session at the ERE Recruiting Innovation Summit, November 10-11 in San Diego, where he goes under the hood and walks through the build itself in front of the room.

AI Agents for Recruiters: An Ask Me Anything with Jan Tegze

Discover what recruiting AI agents can handle, where human judgment still matters, and how to put them to work in your own week.