The host pitches the whole room at once. The setter works one lead at a time, whoever just moved. Every 15 to 30 seconds an AI surfaces a participant, the context, and the move to make. He picks the words.
The public chat sits on his left, scrolling the way every chat scrolls. He isn't reading it line by line, hoping to catch the right message at the right second. The notification center, in the middle of his cockpit, does the catching. A participant moves, it surfaces him with the reason. The most urgent actions sit on top, and he works those first.
An AI reads the room without stopping: public and private messages, time connected, offer clicks, poll answers, forms, quizzes. The cycle runs every 15 to 30 seconds. What reaches the setter is never a raw number. It's a lead, with context: what he answered, what he clicked, what he did a second ago, and one move to make. One participant opened the booking page and never booked. Another picked a slot and never confirmed it. A third stalled on a payment step and never finished. Each one surfaces as a notification, never as a message sent for him. Before he types a word, he opens the lead's card and its timestamped timeline.
The notification hands him three things: the information, the lead's context, the move it suggests. The message is his. He types it every time, in his own words. Nothing leaves the cockpit that he didn't write.
A disruptor floods the chat to get noticed. Banning him or wiping his messages in front of everyone creates the exact scene the host wants to avoid. Shadowban does the opposite. One click, and he keeps posting, still sees his own messages, and no one else sees a single one. He never knows he stopped landing.
A hot lead who leaves before the close is the worst one to lose. He scored high, and now he's off the call. The notification that flags the exit carries a one-click WhatsApp link. The setter reaches him outside the app, on his phone, while he's still warm, instead of waiting for him to wander back.
The recommended ratio is one setter per 300 to 500 registrants. Bigger rooms run several setters in parallel, and every notification routes to one of them.
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