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Benchmarked & Proven

One question. Three AI models.
One clear answer.

Models debate, critique, and synthesize — producing answers more balanced, more nuanced, and more complete than any single model alone. GPT-4o, Claude, Gemini, and more deliberate on your behalf.

Enter the Chamber See How It Works
3+
Models debate every question
100%
Complete answer rate
10/10
Structure score on every response
5
Processing modes for any need

How the Council Works

Every question goes through a multi-stage deliberation pipeline. Think of it like a panel of experts debating before giving you a final answer.

1

Independent Responses

3 or more AI models (from OpenAI, Anthropic, Google, xAI) each answer your question independently, without seeing each other's work. This ensures diverse perspectives.

Example: For "Is remote work more productive?", GPT-4o might focus on studies, Claude on nuance, and Gemini on data trends.
2

Cross-Model Critique

Each model reads and scores the others' responses, identifying factual errors, logical gaps, missing perspectives, and strengths. This peer-review stage catches mistakes no single model would find.

Example: Claude might flag that GPT-4o's cited study was from 2019 and is outdated, while praising Gemini's inclusion of hybrid work data.
3

Chairman Synthesis

A senior model reads all responses and all critiques, then writes the final answer. It combines the best insights, resolves disagreements, and produces a balanced, comprehensive response.

Example: The synthesis acknowledges "productivity depends on role type" (from GPT-4o), includes 2024 data (from Gemini), and adds the nuance about introvert/extrovert differences (from Claude).

Benchmark Results

Tested March 2026 against Perplexity, GPT-4o-mini, Claude, and Gemini across 4 complex questions. Scored on balance, structure, depth, nuance, and actionability (50 points total). Deliberation produces higher quality than search or single-model responses.

36%
higher quality than Perplexity
4/4
wins vs Perplexity
10/10
structure on every response
Rank Provider Balance Structure Depth Nuance Actionable Total
1 Qracle Verified 8.0 8.8 10.0 10.0 10.0 46.8
2 Qracle Quick 7.0 9.8 10.0 10.0 9.5 46.2
3 Grok (xAI) 5.5 5.5 9.5 7.5 6.0 34.0
4 Gemini (Google) 4.0 4.0 10.0 5.0 6.0 29.0
5 Perplexity sonar-pro 5.5 6.2 8.8 5.2 3.2 28.8
6 GPT-4o-mini (OpenAI) 5.0 4.8 8.0 4.5 3.0 25.2
7 Claude Haiku (Anthropic) 2.0 2.2 3.5 2.0 2.5 12.2

Methodology: Heuristic scoring across 4 complex questions (March 2026). Models: Perplexity sonar-pro, GPT-4o-mini, Claude 3.5 Haiku, Gemini 2.0 Flash, Grok-3. Perplexity comparison: 36% higher quality, 4/4 wins. Full details in BENCHMARK_RESULTS.md.

Anti-Hallucination Features

Every feature is designed to catch the mistakes that single AI models confidently make. Enable any combination for your question.

Multi-Model Council

3+ models from different providers (OpenAI, Anthropic, Google) answer independently, then critique each other. Catches blind spots any single model would miss.

Q: "Is coffee healthy?"
Model A: "Yes, antioxidants..."
Model B: "Depends on amount..."
Model C: "Consider anxiety effects..."
= Balanced synthesis covers all angles
🛡

Verified Mode

Extracts every factual claim from the final answer, checks each against sources using Chain-of-Verification (CoVe), and shows a confidence score. You see exactly which claims are verified.

Claim: "Python was created in 1991"
Source check: Wikipedia confirms 1991 ✅
Claim: "70% of developers use Python"
Source check: Actual figure is 48% ❌ corrected
😈

Devil's Advocate

One council member is assigned to actively challenge the group consensus. Prevents groupthink and ensures controversial topics get both sides represented.

Q: "Should we adopt microservices?"
2 models: "Yes, scalability..."
Devil's Advocate: "Monolith is simpler for teams under 10, deployment complexity increases 3x..."
= Synthesis includes real trade-offs
🔍

Semantic Divergence Check

Compares model responses semantically. If they fundamentally disagree, you get a warning that the topic is contested — not a false sense of certainty.

Q: "Will AI replace programmers?"
Model A: "Yes, within 5 years"
Model B: "No, it augments"
⚠ Warning: "Models diverge significantly. This topic is actively debated."
📚

STORM Research Reports

Based on Stanford's STORM methodology. Generates multi-perspective research questions, conducts expert interviews across models, and produces a structured report with executive summary, findings, and limitations.

Q: "Impact of AI on healthcare"
Output: 2,000+ word report with:
• Executive Summary
• Methodology (3 expert perspectives)
• Key Findings (7 sections)
• Limitations & References
📎

Inline Citations

Adds numbered [1][2][3] references throughout the answer, with a source list showing exactly where each claim comes from. Know which sources support which statements.

Output: "Python is the most popular AI language [1], though Julia is gaining traction [2]."

[1] Stack Overflow Survey 2024
[2] Nature Computational Science, 2024

Choose Your Interface

Multiple ways to interact with the council, designed for different workflows and devices.

🏛️ The Deliberation Chamber

Advanced multi-agent UI with real-time streaming, debate visualization, and structured synthesis. The premier experience.

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📜 Session History

Browse, search, and export your past council sessions. Filter by mode, date, or topic. View full deliberation logs and re-run sessions.

/history