Why one model isn't enough for important decisions

Every AI model has a personality. Not in the anthropomorphic sense — in the statistical sense. The data they were trained on, the RLHF feedback they received, and the architectural choices behind them create systematic patterns in how they respond.

The blind spots of individual models

GPT tends toward comprehensive, balanced, diplomatic answers. It's excellent at seeing all sides but can avoid taking a strong position when one is needed. Claude is careful, nuanced, and tends to hedge — great for risk analysis, but sometimes over-cautious. Grok is direct and contrarian — it'll tell you uncomfortable truths, but can miss subtlety. Gemini is structured and data-oriented — excellent for implementation plans, but can be less creative.

Why the combination matters

None of these tendencies are bugs. They're features — when combined. The real insight isn't in any single model's response. It's in the pattern across all four: where they agree (high-confidence signal), where they diverge (the decision's real tension), and what each one catches that the others miss.

This is why Decision Memos exists. Not because any single model is bad, but because the combination produces something none of them can alone: a structured view of the decision landscape with explicit consensus and dissent.

Think of it as a board of advisors

You wouldn't make a critical business decision by asking one person. You'd want multiple perspectives from people with different thinking styles. That's exactly what the panel provides — at the speed of an API call.