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Multi-Model AI Council

Model diversity matters more

than modelquality.

Three different models debating beats three instances of the best model. The adversarial pressure is the feature. The moderator finds where they agree, where they disagree, and why.

Validated at ICML 2024 (Best Paper), NeurIPS 2024, and ICLR 2025

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The Problem

Your AI is a yes-man

single model
you › Should we launch the campaign next week? Budget is tight but competitors are moving.
ai     Yes, moving quickly is important in competitive markets. I'd recommend launching next week to maintain momentum.
One model. One opinion. It agreed with you because it's trained to.
council of three
you › Should we launch the campaign next week? Budget is tight but competitors are moving.
GPT-4.1 · Growth: Launch, but cut scope. Run a single-channel test with 30% of budget. If CPA hits target in 72 hours, scale.
Claude · Finance: Tight budget + rushed timeline = uncontrolled spend. Competitors moving isn't a reason to move poorly. Delay one week, fix attribution first.
Gemini · Strategy: The real question isn't when to launch — it's whether you can measure what matters. Without attribution, any launch date is a guess.
Council Verdict
Delay one week. Fix attribution, then launch a single-channel test at 30% budget. The urgency is real but launching blind wastes the budget you can't afford to waste.
Inside the Product

Presets or build your own

Start with a curated council of models and roles — or pick exactly which models debate and what perspective each one takes.

roundtable.now/chat

Critical Code Review

ANBuilder
OPCritic
GOCritic
XAPerformance Engineer

Architecture migration, code quality, security, and performance analysis.

Strategy Debate

ANStrategist
OPCritic
DEAnalyst

Build vs buy, tech stack decisions, and resource allocation trade-offs.

Creative Brainstorm

ANIdeator
OPBuilder
GOIdeator
XABuilder

Divergent ideation, concept exploration, and creative direction with competing perspectives.

Deep Analysis

ANStrategist
OPStrategist
GOBuilder

Complex problem decomposition, systems thinking, and multi-angle reasoning.

UX Research Panel

ANUX Researcher
OPProduct Designer
GOAccessibility Lead

User research synthesis, journey mapping, and experience gap identification.

Startup Pitch Review

ANVC Partner
OPFounder Coach
XAAnalyst
DEFinancial Modeler

Pitch deck teardown, market sizing, competitive positioning, and investor readiness.

Security Threat Review

ANSecurity Architect
OPPenetration Tester
GOCompliance Officer

Threat modeling, vulnerability assessment, and incident response planning.

Content & Copy Review

ANEditor
OPCopywriter
XAStrategist

Copy review, tone analysis, audience targeting, and messaging consistency.

Research

Backed by peer-reviewed science

Multi-model debate isn't a hypothesis. It's the mechanism behind the most accurate AI reasoning ever measured.

Accuracy improvement
+28 percentage points

Non-expert judges improved from 48% → 76% accuracy when evaluating debated answers vs single-model responses

Khan et al. · UCL + Anthropic · ICML 2024 Best Paper
Math reasoning boost
+15 percentage points

Multi-agent debate improved math reasoning from 67% → 81.8%. Models correct each other through sequential challenge rounds

Du et al. · MIT + DeepMind · ICML 2024
Open-source beats GPT-4
65% on AlpacaEval 2.0

Mixture-of-Agents: open-source models collaborating scored 65.1% vs GPT-4 Omni's 57.5% — proving collective reasoning beats individual capability

Wang et al. · Together AI + Stanford · ICLR 2025
Universal advantage
Debate wins on every task

Weak LLM judges supervising strong LLMs via debate outperformed direct questioning on every task tested — scalable oversight works

Kenton et al. · Google DeepMind · NeurIPS 2024

“Two sets of findings released in 2024 offer the first empirical evidence that debate between two LLMs helps a judge recognize the truth.”

Quanta Magazine, March 2025
Deep Dive

Read the research

The peer-reviewed papers behind multi-model deliberation — from UCL, Anthropic, Google DeepMind, MIT, and leading AI labs.

Trust & Security

Built for High-Stakes Decisions

Roundtable is designed for confidential, critical work — with full traceability, data privacy, and IDE integration.

Full Traceability

Every tool call logged with model attribution and reasoning chain. When the council says "refactor," you can trace which model proposed it, which challenged it, and why the verdict stands.

Your Data Stays Private

API calls are excluded from model training by every provider we route through. Your data stays private and encrypted via HTTPS on Cloudflare's global network.

Human-in-the-Loop

AI deliberates. You decide. Every verdict includes the reasoning so you can override with confidence. The council argues the tradeoffs — you make the call.

Works in Your IDE

Run council deliberations directly in Claude Code, Cursor, Windsurf, or any MCP-compatible IDE. No context switching — debate where you build.

FAQ

Frequently asked questions

Your AI Council Is Ready

Stop asking one model and hoping it's right. Assemble a council, start the debate.

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