Perplexity Introduces Model Council AI Feature
New Tool Enables Multi-Model AI Responses
Perplexity has launched a new artificial intelligence feature called Model Council, aimed at improving the accuracy and depth of answers on its platform. The tool allows users to submit a single query to three different AI models simultaneously, offering a broader and more balanced perspective. By analysing multiple outputs at once, Perplexity seeks to reduce uncertainty and help users reach better-informed conclusions.
Addressing Inconsistent AI Answers
As AI systems evolve, their reasoning styles and interpretations can differ significantly. Asking the same complex question to multiple chatbots often results in varied responses, leaving users unsure which information is most reliable. Perplexity acknowledges that this inconsistency can be frustrating, especially for users conducting research or making high-stakes decisions where accuracy is critical.
Automated Comparison and Structured Insights
Model Council is designed to eliminate the need for manually comparing multiple AI responses. Users select three models within the platform and submit their question. Each model generates an independent answer, which Perplexity’s built-in synthesiser then reviews. The system presents the findings in a structured table, clearly highlighting areas of agreement, differences in viewpoints and any unique insights offered by individual models. Users can also view each full response separately for deeper analysis.
Focus on Accuracy and Broader Perspective
According to Perplexity, Model Council is particularly useful in situations where precision and diverse perspectives matter most. Potential use cases include investment research, complex problem-solving, creative brainstorming and fact-checking. By combining speed, transparency and cross-verification, the company aims to help users quickly grasp essential information while retaining confidence in the reliability of AI-generated insights.
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