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An AI employee owns an outcome instead of answering a question. Here is what that means in practice: real roles, the access it needs, who checks its work, and what it costs.

AI teammates are scoped AI hires that own a queue and hand back finished work. Here is the definition, how they differ from agents and copilots, and how to buy.

The best AI employee is the one that closes a job with no human touching it. I ranked 10 tools by where the work actually stops, with every price checked.

Ten tools sold as AI teammates, compared on the thing that decides the purchase: whose queue they own, what they do when unsure, and how they bill.

Shieldstral ties a 20B model on text safety at 3B. The top four guard models sit inside 1.6 F1 points, so what actually picks your guard is hosting, licence, reasons, and how many calls one message costs.

Google publishes 0.24 Wh per prompt. Mistral publishes 1.14 gCO2e. Both are honest, neither is comparable, and the number that actually moves your footprint is the one nobody publishes: how many model calls it takes you to finish one piece of work.

Mistral's 3B open-weights safety classifier ties the 20B leader on its own text-safety chart and runs on one 16GB GPU. What it does not give you is a reason, or a hosted endpoint.

Muse Code has no spend cap, and most tools that do give you one will not contain the agent. I compared nine alternatives on the dials that actually decide the switch.

SeedRealtime is ByteDance's audio-visual full-duplex model. Here is what it does, what ByteDance published, and what you can actually call today.