Decision Models: Let AI Agents Output Answer Probabilities Instead of Text
techNmak · x · 2026-10-20
The author introduces the concept of decision models: a way for AI agents to evaluate defined outcomes without generating a textual answer.
The interface is simple: an application supplies a state, a question, and the possible answers; the model assigns probabilities to those answers, which can then drive classification, tool selection, routing, severity assessment, or other decisions. The author expands on this in a longer piece linked in the post.
Related event: Decision Models: AI Agents Output Decision Probabilities Instead of Text(2 posts)→
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