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Ways to work with AI as a team, compared
Teams share AI work today by sending chat links, joining group chats with an assistant, or each running their own agent. A shared AI agent session is a fourth option, where the team works in one live session with a plan, steering, handoff and review. Each comparison below says when the other approach is the better fit.
Shared AI agent sessions vs shared chat links
A shared chat link from ChatGPT, Claude or Gemini is a snapshot of one person's conversation that others can read but not change. A shared AI agent session is the work itself: teammates watch it live, redirect the agent while it runs, take over ownership and approve the result in the same place.
Multiplayer AI agents vs AI group chats
An AI group chat puts several people in one conversation with an assistant that answers messages. A multiplayer AI agent session gives a team one agent working through a multi-step task with a visible plan, where teammates can redirect the remaining steps, conflicting directions are held for the team to resolve, and a person approves the result.
Shared AI agents vs solo AI agents and coding assistants
A solo AI agent, such as a coding assistant in one engineer's terminal or editor, works for the person who started it, and its reasoning stays in that person's session. A shared AI agent works in a workspace the whole team can open, so anyone can follow the steps, redirect it, pick it up and approve the result. The two work together: coding assistants can connect to a shared workspace over MCP.
New to the idea? Start with What are multiplayer AI agents?, or see how each kind of team uses a shared agent.