How can one AI
handle many jobs
at once?

The full narration of the video.

Run AI helpers side by side, and by the fifth window, you lose track. That's the DeepSeek team's own experience. Each window works alone and shares nothing, so you do all the switching and remembering. AI keeps getting better at solo work. Now the bottleneck is your attention.

On November 1st, they published a long essay about making one AI work like a taxi dispatch desk. The dispatcher sits at the desk, takes every passenger's call, and never drives. Each new order gets its own driver. The driver handles just that one trip, and reports back to the desk.

So the dispatcher's hands are always free. You can bring up the next thing right away, without waiting for the last one to finish. Let's follow one group-chat message. Someone writes: the website won't load. Nobody mentions the AI. First it passes a gate. The gate is plain code that only checks who sent it and where. Small talk stops here, no AI thinking needed.

Only then does the AI decide: is this worth handling? It is. So the front desk sends out a worker AI, just for this one problem. A bit later, the same person adds: it won't load on phones either. This message skips the desk and goes straight to the worker fixing it.

Like a passenger changing the pickup spot: the call goes right to their driver. When messages flood in, the desk stays calm. Whatever piled up during one round gets read and dispatched together in the next. They call this a Super-agent. The dispatch desk is the router layer, and the drivers are the worker layer.

Whether you reach it in chat, email, or on a code platform, you're always talking to the same front desk. There's also a patrol AI. Every so often it makes the rounds, and pulls any worker that's going in circles back on track. They tested it with three hundred simulated messages. With a front desk, even the slowest jobs finished within sixteen minutes. One window doing everything took nearly half an hour.

It's their own simulation, so treat it as an early result. One puzzle is still unsolved. Split the front desk more, and it answers faster, but each piece remembers less. If you had to pick: one that's slower but remembers everything, or a fast crew that barely knows each other?