Ask a yes/no question. Seven AI models build pro and con arguments independently. Then they rate each other — revealing which claims they all agree on and which are controversial.
Stop trusting one AI's opinion. See what they all agree on.
政策、科学、戦略、法律など、あらゆるトピックに関するYes/No形式の調査質問を提起します。
Frame your question as a clear proposition that can be argued for or against.
7つのAIモデルが、それぞれ独立して、証拠と引用とともに、賛成意見と反対意見を生成します。
GPT-4, Claude, Gemini, Grok, Perplexity, and Mistral each build argument trees.
すべての議論は、7つのモデルすべてによって評価されます。クロスバリデーションにより、最も説得力のある主張が明らかになります。
Each AI rates the others' arguments on strength, relevance, and evidence quality.
すべてのモデルが合意する議論と、論争の的となっている議論を確認します。合意 = 信頼。
High agreement means high confidence. Disagreement reveals questions worth investigating.
A single AI has blind spots. 7+ AIs cross-validating each other create collective intelligence you can trust.
Each model brings different training data and reasoning. Their agreement is signal. Their disagreement is discovery.
When 6/7+ models agree, you can trust the answer. When they split 4/3, you've found the real question worth investigating.
Single-model hallucinations get caught by the other six. Cross-validation is built into every query.
Every verdict comes with per-model reasoning. No black boxes — see exactly how each AI reached its conclusion.
Quantified consensus: 5/7, 6/7, unanimous. Know exactly how confident to be in each answer.
Research in any of 66 supported languages across Europe, Asia, Middle East, Americas, and Africa. Full RTL support for Arabic, Hebrew, Farsi, and Urdu.
Any question that deserves more than one perspective benefits from Collective AI Intelligence.
AIを活用した政策提案の多角的分析、構造化された証拠と反論を含む。
マルチモデル法的推論システムは、法的立場に対する論理的根拠を構造化して提示する。
AI-Assisted ライブラリのレビューと仮説評価のためのマルチモデルクロスバリデーション。
戦略的決定サポートのための、ビジネス機会とリスクのマルチAI分析。
マルチパースペクティブのストーリー調査に構造化された証拠を用いたバランスの取れた報道。
AIパワード ディベート準備と批判的思考演習のためのマルチパースペクティブ。
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