Every week I go through hundreds of new AI papers to pick the top ones for our Top AI Papers of the Week digest.

Besides reading a lot of papers, I have started to use agent teams a lot.

Here is what works for me.

The most important thing is making sure I can make the final call on tasks agents are assigned.

The volume is what makes the weekly triage difficult.

Before Viktor, I tracked papers with saved searches and a spreadsheet. That stopped working once the weekly volume grew past what I could read myself.

Now I use 12 triage rules, all in the image below. Each rule shows how Viktor, my favorite AI employee, handles it in Slack.

First, I keep context close.

Every proposal Viktor sends me comes with the reason, the source, and the next step. That way I can check where a recommendation came from before I act on it.

One rule I use often is escalating exceptions. When a paper releases a dataset, Viktor checks the license before I feature it. He handles the routine ones and sends me any with a non-commercial clause.

Nothing in the digest is published until I approve it. Viktor proposes, and I decide, so I can stand behind every issue that goes out.

Twelve rules in the image. Which of them would you add?

Try it free at @viktor_com. $100 in credits, no card. Full link in my first reply.