Why Limit Yourself to One AI?
Hallucinations Happen
AI models dream up output when data is scarce or context limits are pushed.
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Hidden Biases Skew Results
Region-specific training data will censor topics and amplify favored narratives, leading models to produce biased outputs.
Unpredictable Updates
Model updates unexpectedly degrade performance and introduce behavioral quirks.
fuses.ai taps multiple AIs for diverse perspectives and consensus-based results.
Multi-model assessment limits bias through agreement.
Focused summary layer distills multiple responses into one clear answer.
One-click data export to CSV and Excel.