Triall

AI hallucination is not simply a bug that improved training can fix. Studies indicate AI models inherently prioritize confident expression over accuracy, and no single model can identify its own errors.
Triall addresses this structurally. Three AI models independently answer the same question, then objectively evaluate each other's responses, with no model knowing the author. The top-rated response is synthesized, refined through iterative critique, challenged by a devil's advocate, and optionally checked against current web information. Every stage is transparent and exportable.
The platform features over-compliance risk assessment (identifying when models are confidently incorrect), model diversity analysis, and a complete walkthrough showing what was corrected.
Designed for professionals where accuracy is essential — legal, finance, research, strategy. Includes three settings: Full Power (Claude Opus + Grok + Gemini), a complimentary Test Run with simpler models, and Custom mode with 120+ models via OpenRouter.
Three AIs. One verdict.