
Most people's experience with AI agents is single-player. We're moving into a multi-player era where specialized agents live in your team channels as true teammates.
Most people's experience with agents is a single player experience. It's clear to me we're moving into the multi-player era.

OpenClaw in a slack or teams channel was the preview. I've heard of lots of examples of teams building their own more customized agents that live in a group chat channel and do specific jobs e.g. Stripe minions. Now, there's Claude Tag.
Everyone gets the benefit of seeing how people use them and can collaborate on how to get the best out of them.
I think we're still a long way from this being heavily adopted in every organization, but specialized agents as true teammates have a lot of promise. I think "one agent to rule them all" won't be ready in multi player mode until it's got a reliable way to catalog and delegate to subagents. But you can see it happening.
The challenge is in making all of this easy to maintain and keep safe without everyone needing to be an agent mechanic or becoming overly reliant on one lab.
Scaling impact with AI comes from codifying senior judgment into skills and agent workflows—which also becomes the training material for the people still climbing the ladder.
After a year with Claude Code as my daily driver, the Codex desktop app's interface for managing many agent threads and automations has me reaching for it more and more.
My workflow makes it easy to spin up 10+ parallel agent threads, but 5 or 6 well-sized tasks is the sweet spot - for my sanity and to keep the final review pile manageable.
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