Writing on multiplayer AI
Field notes on multiplayer rooms, multi-agent collaboration and bringing your own model. For shipped changes, see the releases.
The best tools for team AI collaboration in 2026
A fair, up-to-date comparison of the best AI collaboration tools for teams in 2026 · ChatGPT Teams, Claude, Mantle, Slack AI, and SquidHub.
Read →Multiplayer mode for AI: why the work happens in rooms
Most AI is single-player: one person, one tab, one model. Multiplayer mode puts humans and multiple AI models in shared rooms where real work happens.
Read →How to share AI projects with your team · share the room, not the chat
Teams want to share the project · instructions, files, memory, and the AI itself · not a chat link or a 5-seat Team tier. Here is why a shared room wins.
Read →Multi-agent collaboration: many models, one room, a human in the loop
Running Claude, GPT, Gemini and Grok together in one conversation. Why models disagree, when that helps, and why a human-in-the-loop room beats an agent swarm.
Read →Persistent shared memory for AI teams
Why an AI workspace with persistent, per-room shared memory decides retention · context that survives sessions and is shared by everyone in the room.
Read →Bring your own key: private, multi-model AI for teams
Why teams choose bring-your-own-key (BYOK) AI: pick the right model, control cost, and keep data yours · encrypted at rest, no training, not E2EE.
Read →Multiplayer is the missing mode for AI
AI assistance today is overwhelmingly 1-on-1: one prompt, one human, one machine. The interesting work happens in rooms.
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