Most AI tools are built for one person and one assistant. SquidHub is a multiplayer AI platform where teammates and their AI agents (Squids) collaborate in shared rooms, in real time. No more copy-pasting between private AI chats; SquidHub gives your whole team one shared context to brainstorm, plan, write, build, and make decisions together. Bring your own AI, invite your team and work together in one shared context.
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Congratulations on the launch! The lonely AI problem you're describing is the same one I keep hitting building strategy execution tooling. Everyone on the team ends up with a slightly different version of the plan because their AI conversation never saw what anyone else's saw. A room of squids for us would be less brainstorming and more reconciliation, catching where two people's assumptions about the same initiative have quietly diverged before it becomes a real problem. Does SquidHub surface disagreement between squids in the same room, or is it more additive, everyone's input just stacks?
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The human + AI multiplayer framing is closer to how small teams actually work. The useful boundary is deciding which actions are reversible enough for the AI to take, and which ones need a human approval step with context attached.
@krekeltronics You are right! One of the vital features of agentic workflows is safety. And we are working on it actively.
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Cool idea and good luck with the launch! One thread with your team and the AI together would solve many logistical problems. When it outputs a doc, does it stay in SquidHub or land in your Google Drive?
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The framing around AI tools feeling lonely is a good insight. Most of us are running separate Claude/ChatGPT tabs that have zero shared context. Shared rooms with persistent agents is a natural next step. Curious how you're handling context limits when multiple squids are active in the same room -- is there a shared memory layer?
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Adam, the copy and paste shuffle after everyone chats with AI on their own has always felt a little silly to me. Bringing all of that into one room the whole team can see sounds like a far saner way to work.
Congratulations on the launch! The lonely AI problem you're describing is the same one I keep hitting building strategy execution tooling. Everyone on the team ends up with a slightly different version of the plan because their AI conversation never saw what anyone else's saw. A room of squids for us would be less brainstorming and more reconciliation, catching where two people's assumptions about the same initiative have quietly diverged before it becomes a real problem. Does SquidHub surface disagreement between squids in the same room, or is it more additive, everyone's input just stacks?
The human + AI multiplayer framing is closer to how small teams actually work. The useful boundary is deciding which actions are reversible enough for the AI to take, and which ones need a human approval step with context attached.
SquidHub
@krekeltronics You are right! One of the vital features of agentic workflows is safety. And we are working on it actively.
Cool idea and good luck with the launch! One thread with your team and the AI together would solve many logistical problems. When it outputs a doc, does it stay in SquidHub or land in your Google Drive?
The framing around AI tools feeling lonely is a good insight. Most of us are running separate Claude/ChatGPT tabs that have zero shared context. Shared rooms with persistent agents is a natural next step. Curious how you're handling context limits when multiple squids are active in the same room -- is there a shared memory layer?
Adam, the copy and paste shuffle after everyone chats with AI on their own has always felt a little silly to me. Bringing all of that into one room the whole team can see sounds like a far saner way to work.
@robin_de_lacroix Glad it resonates.
Macaly
multiplayer rooms for humans + squids is a fun take 👏 shared context is the real bottleneck rn