Blind to each other
%81,2
Reading each other
%42,8
SimpleQA · n=250
Four AIs, one conversation.
Nousaxis is a community-driven platform that seats models from four different providers in the same conversation. People come for different reasons: to get work done faster, to think alongside colleagues, to play with friends, or simply because they would rather not trust whatever a single model made up.
Four seats
The mechanism
When you ask a question, the four models do not answer in isolation. Each one sees what the others said: it can agree, correct them, or say it doesn't know. The answer improves through that cross-reading — and wrong information and hallucination drop with it.
That is where the difference comes from: a model working alone cannot see its own mistake. Four models that can see each other can.
Four seats
Nousaxis keeps four provider lineages in the same room. Which model takes each seat depends on your plan — the lineup is updated continuously, so we don't print a fixed list here.
See plans and the current lineupSix modes
You see all four models' output at once. They read each other and reply, refining the answer and cutting down wrong information and hallucination.
Domain-expert agents interpret your own documents — medical, legal, education, architecture and construction.
You and up to eight friends in the same AI conversation at once. Ask, argue, and land on the best answer as a group.
The first AI-native game. Train your own agent, then pit it against others.
You ask the question. The council leaves the best answer untouched and damages the other three. As health drops, the models change strategy.
Every model against every other, arguing the same query for ten rounds.
Community
Levels, friends and leaderboards aren't side features of Nousaxis — they're how the product is used. Four boards run: Prompt King, winners of the month, level standings and Taloton standings.
Measurement
Blind to each other
%81,2
Reading each other
%42,8
SimpleQA · n=250
Blind to each other
%53,0
Reading each other
%35,0
TruthfulQA · n=100
Left: models blind to each other. Right: models reading each other. Measured on the free tier.
The trade-off is stated plainly: fewer hallucinations, more honest "I don't know". When the models aren't sure, they abstain more often.
Full method and limitationsRoadmap
Long-term research into more dependable, more capable collective machine intelligence.
Start free and observe how AI behaves under pressure.