• fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
• 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.

Schema-constrained extraction from layout-heavy PDFs is available as a single OpenAI-compatible call with no templates or fine-tuning, and billing is per page rather than per token, which makes document ingestion cost predictable.

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