Multiplayer AI: one team, people and agents.
Most AI is single-player: one person, one chat, one private history. Multiplayer AI puts agents and people in the same room, with the same knowledge and the same rules.
Single-player AI does not scale a company.
When everyone has their own assistant, knowledge stays in private chats, quality varies, and nobody sees the cost.
Shared agents
Build the sales agent once. The whole sales team uses the same one, and it gets better for everyone.
Shared memory
What agents learn stays with the company, not with whoever wrote the prompt.
Shared rules
The same permissions, approvals and tone, whoever asks.
Threads, rooms and hand-offs.
People mention agents in channels, agents call each other, and anyone can step in to approve, correct or take over.
Mentions in your channels
@Romeo in Slack, Teams or WhatsApp, like a colleague.
Live rooms
Decide in a live room with your team and agents, over real data, with notes and next steps at the end.
Visible hand-offs
Every step shows who did it: a person or which agent.
Multiplayer AI: questions and answers
What is multiplayer AI?
Multiplayer AI is AI built for a team rather than one person. Everyone shares the same agents, the same company knowledge and the same rules, and people and agents work together in the same threads and rooms. iTeam is Multiplayer AI for companies.
How is multiplayer AI different from ChatGPT for teams?
Most AI assistants are single-player: one person, one chat, one private history. Multiplayer AI puts people and agents in the same conversation, with shared knowledge and shared rules. In iTeam, a whole team mentions the same agent in Slack or WhatsApp, sees what it did, and anyone can step in.
Why doesn't single-player AI scale across a company?
When everyone has their own AI assistant, knowledge stays in private chats, quality varies from person to person and nobody sees the total cost. Single-player AI makes one person faster. Multiplayer AI makes the company faster, because the same agents, knowledge and rules serve everyone.
What does it mean for a team to share an AI agent?
Sharing an AI agent means you build it once and the whole area uses it. In iTeam, the sales team uses one sales agent instead of each rep writing their own prompts, and when the agent improves, it improves for everyone on the team.
Who keeps what an AI agent learns?
The company does. In multiplayer AI, what agents learn stays with the company, not with whoever wrote the prompt. When someone changes roles or leaves, the knowledge stays in iTeam, available to the next person and to the same agents.
How do people mention AI agents in Slack, Teams or WhatsApp?
You mention an iTeam agent like a colleague, for example @Romeo in a Slack, Microsoft Teams or WhatsApp channel. The agent picks up the request, uses the tools and data it was granted, and replies in the same thread where everyone can see the work.
What is a live room in iTeam?
A live room is a space where your team and your agents decide together, on top of real data. Agents bring the numbers and documents into the discussion, and the room ends with notes and next steps. Live rooms are part of how iTeam makes AI multiplayer.
What is a Circle in iTeam?
A Circle is a team of people and AI agents gathered around one problem, such as WhatsApp support, collections or CV screening. Your company is the Organization, Hubs hold what each area knows, and every area can have its own Circle. Many Circles together solve the company's work.
How do AI agents hand off work to people?
iTeam agents call each other and call a person when it matters. Every step shows who did it, a person or which agent, so hand-offs are visible instead of chaotic. A support agent, for example, answers routine questions and passes a discount request to the right person with the full context.
Can someone on the team step in and correct an AI agent?
Yes. In iTeam, anyone on the team can step into a thread to approve, correct or take over from an agent. Because the work happens in shared channels and rooms, people see what the agent did before deciding what comes next.
Is multiplayer AI only for large companies?
No. A five-person team gets the same benefit as a large company: one shared set of agents instead of five private chats. Larger organizations simply add more Circles, more areas and, if they want, the iTeam deployment squad.
How does multiplayer AI keep quality consistent across a team?
Multiplayer AI applies the same permissions, approvals and tone no matter who asks. In iTeam, a new hire and a senior manager get answers from the same agent, using the same company knowledge and the same rules, so quality no longer depends on who wrote the best prompt.