Post twelve of a series on what live audience engagement actually looks like when there's an AI team in the room. The finale. When we started writing this series, we set ourselves a constraint. Don't write the marketing version. Don't claim things the architecture
Post eleven of a series on what live audience engagement actually looks like when there's an AI team in the room. We've spent ten posts arguing for the agents. Setup that compresses event configuration into ninety seconds. Protect that handles moderation at machine speed. Engage that
Post ten of a series on what live audience engagement actually looks like when there's an AI team in the room. There's a question we get asked at almost every demo, usually about ten minutes in, and it goes like this: So when the AI is
Post nine of a series on what live audience engagement actually looks like when there's an AI team in the room. There's a question that comes up early in every conversation about deploying AI in a customer-facing context: how do you make sure it sounds
Post eight of a series on what live audience engagement actually looks like when there's an AI team in the room. The event ends at 11:00am. The host's calendar has them in another meeting at 11:15. The moderator is on a flight that afternoon.
Post seven of a series on what live audience engagement actually looks like when there's an AI team in the room. Of all the agents in ReactLive, the Answer Agent is the one most people are afraid of. That's the right reaction. For the last three
Post six of a series on what live audience engagement actually looks like when there's an AI team in the room. Watch a moderator work a 400-person live event sometime. They're sitting in front of two screens. One is the live stream — they need to
Post five of a series on what live audience engagement actually looks like when there's an AI team in the room. There's a question every host running an internal event has had to answer at least once. Should we turn on anonymous Q&A? The
Post four of a series on what live audience engagement actually looks like when there's an AI team in the room. There's a strange truth about audience engagement tools that nobody likes to talk about. The reason most events ship with bare-bones engagement — a basic
Post three of a series on what live audience engagement actually looks like when there's an AI team in the room. The single most common reason event hosts don't use AI in production isn't capability. It's framing. Most AI products give you
Post two of a series on what live audience engagement actually looks like when there's an AI team in the room. When we started building ReactLive, the obvious thing to do was put one big AI in charge of the event. One model. One prompt. Feed it the
The first post in a series on what live audience engagement actually looks like when there's an AI team in the room.