Qracle convenes a council of AI models — GPT-4o, Claude, Gemini, and more — that independently answer your question, critique each other's responses, and synthesize the strongest possible answer. No single model can match it.
Every question goes through a multi-stage deliberation pipeline. Think of it like a panel of experts debating before giving you a final answer.
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.
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.
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.
We tested Qracle against individual models across 4 question types: opinion/nuance, current facts, complex analysis, and recommendations. Scored on balance, structure, depth, nuance, and actionability (50 points total).
Methodology: Heuristic scoring across 4 test questions. Models: GPT-4o-mini, Claude 3.5 Haiku, Gemini 2.0 Flash, Grok-3. Full details in BENCHMARK_RESULTS.md.
Every feature is designed to catch the mistakes that single AI models confidently make. Enable any combination for your question.
3+ models from different providers (OpenAI, Anthropic, Google) answer independently, then critique each other. Catches blind spots any single model would miss.
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.
One council member is assigned to actively challenge the group consensus. Prevents groupthink and ensures controversial topics get both sides represented.
Compares model responses semantically. If they fundamentally disagree, you get a warning that the topic is contested — not a false sense of certainty.
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.
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.
Multiple ways to interact with the council, designed for different workflows and devices.
Split-panel layout with sidebar controls and live streaming arena. Watch models respond, critique, and synthesize in real time. Full advanced options.
/v2Original single-column layout with preset grid, model selection, and full advanced configuration. Familiar interface for power users.
/dashboardImmersive visualization of AI avatars debating around a table. Each model has a unique personality and visual identity. Great for presentations.
/roundtableBrowse, search, and export your past council sessions. Filter by mode, date, or topic. View full deliberation logs and re-run sessions.
/historyTouch-optimized chat interface for phones. Swipe between modes, tap to expand model responses. Dark theme matching desktop experience.
/mobile