Asks the same question to four AI models, checks where they agree, and flags answers that don't hold up.
It branches. Exactly one path is taken; runs once per each of the four ai models.
Pattern: Exclusive Choice (4) · Simple Merge (5) · Multiple Instances without Synchronization (12)
Relying on a single AI's answer for an important decision is risky because a confident-sounding response can still be wrong. You need a way to catch mistakes before they turn into bad decisions.
Teams using AI for research, analysis, or decisions where getting the answer wrong is costly.
You get one combined answer checked across four AI models, with an agreement score so you know how much to trust it.
The hard question is not how to build it. It is whether this is the right thing to build first.
That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.
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