What is multi-agent AI chat?
In a normal AI chat, one model answers you. In a multi-agent chat, several agents share the same conversation, each with its own role, knowledge focus and personality. They read the full thread, so they can agree, push back and build on what another agent said, not just answer you in parallel.
The hard part is turn-taking. Debatly solves it with an AI director that looks at the latest messages, who was addressed, whose expertise fits and who has not spoken yet, then selects the next speaker.
How to build a good multi-agent room
Three characters with genuinely different perspectives is usually the sweet spot. Give each a clear role and a reason to disagree: an optimist and a skeptic, a marketer and an engineer, a coach and a realist. Too many similar voices produce agreement, not insight.
Open with a specific prompt that includes your context and what you want by the end, such as three options ranked by risk. Use names to steer ("Nina, what would you cut?"), and enable autonomous turns when you want the characters to work through a problem on their own.
Group room or debate: which should you use?
Use a group room when you want an open conversation: brainstorming, study sessions with several tutors, simulated team meetings or entertainment. Use a Debatly debate when you need a decision: personas argue for and against over up to 5 rounds, and an AI judge delivers a verdict with scores and next actions. Many users brainstorm in a room first, then send the best option to a debate.
Ideas for multi-agent rooms
Advisory board: a CFO, a marketer and a skeptical investor review your quarterly plan. Study group: a patient tutor, a quiz master and a devil's advocate work through an exam topic. Writers' room: a plot architect, a dialogue coach and a harsh editor shape your story. History salon: figures from different eras discuss one question. Language practice: two native-speaker characters chat with you in the language you are learning.