Multi-model deliberation
The room outperforms the individual.
Bring a question. A team of AI models debates it. You get the disagreement, not just the answer.
Vāda runs a team of AI models on your question. Each model reasons independently. Each sees what the others said. You get the full deliberation — the disagreements, the convergence, the synthesis. Not one answer. A room's verdict.
You submit a question.
Each model reasons independently.
Models read each other and respond.
A synthesizer reconciles their positions.
You receive the verdict and the full transcript.
A single model cannot see its own blind spots. When models disagree, that disagreement is information — it marks the genuine uncertainty in the question. Vāda surfaces that. You learn not just what the models think, but where they diverge and why.
One model gives you its best guess. A room gives you the shape of the problem.
Returns a confident answer. Blind spots are invisible. You cannot tell what it missed.
Disagreement is explicit. Convergence is earned. You see exactly where confidence is real.
No memory. No personality. No ongoing relationship. A fresh room for every question.
No steps. No pipelines. No automation. Deliberation, not execution.
It does not retrieve answers. It produces judgment on the question you bring.
It is trying to be right.
You bring a question. Vāda launches a team of agents on it — reviewers running across multiple models, working through the question under a structured protocol. No single model's blind spots. No one viewpoint deciding for you.
The shape of the work is defined by the team you launch. A team can be a panel of independent reviewers — each on a different model — returning their analysis. Or a deeper engagement with multiple rounds, cross-critique, an audit gate, and a revision loop. You pick the team that fits the decision.
Whatever the team's shape, the deliverable is the same: a structured conclusion with the full transcript attached. Every reviewer's reasoning, preserved. Auditable. Defensible to anyone who later asks how the decision was reached.
The question you walked in with is not always the question you walk out with. That clarity is what you came for.
A room of AI models will deliberate on it. You get the full transcript — the disagreement, the convergence, the verdict.
Vāda exposes a hosted MCP server. Connect it to Claude, Cursor, or any MCP-compatible client. Your AI assistant can run Vāda deliberations as a tool call.
vada__deliberate
question: "Should we expand to Europe now?"
spec_id: "vada-reviewers-synthesis"
Returns: full deliberation transcript + synthesized verdict