Getting a second opinion from multiple LLMs
You'd get a second medical opinion before surgery. The same logic applies before you act on one model's confident answer.
One answer hides its own uncertainty
A single model always sounds sure, whether the question is easy or genuinely contested. That confidence is a feature of how it writes, not a measure of how right it is. So a lone answer gives you no way to tell a settled fact from a coin flip.
A panel gives you a range
Ask several models and you get a distribution instead of a point. Tight agreement is a strong signal. A wide spread tells you the answer depends on assumptions or judgement — which is often the most important thing to learn before you commit.
Making it a habit
The reason people don't get second opinions from AI is friction — it means opening several tools and copying the prompt around. BizWax's AI Consensus removes that: one prompt, many models, one view of the agreement and the disagreement. The point isn't a prettier answer; it's knowing how much to trust the one you've got.
Try it on your own keys
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