AI models have a fixed token limit—a maximum amount of text they can process—and once a response approaches that boundary, the system stops mid-sentence rather than exceeding it. This is a hard technical constraint, not a quirk, and knowing it helps you structure longer requests to finish within the available space.
Tokens are the small units of text that AI models process and generate, roughly equivalent to three-quarters of a word, and every AI model has a maximum number of tokens it can produce in a single response.
Understanding token limits explains why AI sometimes cuts off mid-sentence or gives incomplete answers, and knowing how to work around these limits helps you get full, usable outputs for longer tasks.
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