Triall

AI hallucination isn't a bug that better training will fix. Research shows AI models have built-in over-compliance circuits that prioritize sounding confident over being accurate — and no single model can catch its own blind spots. Triall solves this architecturally. Three AI models answer the same question independently, then blindly peer-review each other's responses — no model knows who wrote what. The highest-ranked response gets synthesized, refined through iterative critique loops, challenged by a devil's advocate stage, and optionally fact-checked against live web sources. Every step is transparent and exportable. The platform includes over-compliance risk scoring (flagging when models are being confidently wrong), model diversity analysis, and a full walkthrough showing exactly what was caught and corrected. Built for professionals where accuracy isn't optional — legal, finance, research, strategy. Three presets: Full Power (Claude Opus + Grok + Gemini), a free Test Run with lighter models, and Custom mode with 120+ models via OpenRouter.

Haftungsausschluss: WebCatalog ist nicht mit Triall verbunden, steht nicht in Beziehung zu Triall, ist nicht von Triall autorisiert oder empfohlen und steht in keiner Weise in offizieller Verbindung zu Triall. Alle Produktnamen, Logos und Marken sind Eigentum ihrer jeweiligen Inhaber.