• structured output — Forcing a model's response to match a schema, so downstream code can parse it instead of guessing at prose.
• token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.

Structured output and tool-call schemas run through constrained decoding everywhere, and this removes the quality-versus-latency compromise those pipelines currently accept.

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