Intelligent Systems

Confidence, Not Verdicts: Designing Intelligent Systems That Know When to Ask

Intelligent Systems

A system that always produces an answer is a system that is sometimes confidently wrong, and you will not know which times. The design goal is not a higher score. It is a system whose confidence means something measurable, that behaves differently in different bands of that confidence, and that has a cheap, well-run path […]

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Where AI Belongs in a Business Workflow, and Where Deterministic Logic Must Stay

Intelligent Systems

A language model is a capable reader and an unreliable accountant. Any step that must produce the same output for the same input every time, and be explainable afterward, belongs in deterministic code. Any step that turns messy human input into structure is a reasonable job for a model, provided a deterministic check runs after

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