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Professionals and businesses hesitate to fully adopt AI assistants because the models often 'hallucinate'—confidently stating incorrect information. This unreliability creates significant risk and requires time-consuming human verification for critical tasks like coding, research, or analysis, undermining the efficiency gains of using AI.
A service that acts as an intelligent verification wrapper for LLMs. This system would automatically process the AI's output, cross-referencing facts against curated knowledge bases or real-time web data. It would then deliver the answer with cited sources, confidence scores, and clear warnings for any unverified or fabricated information, transforming a creative but unreliable tool into a trustworthy professional assistant.