A metric measuring whether an operational rule saves more tokens than it costs to load into an agent's context. A ratio above 1.0 means the rule pays for itself. Below 1.0 means you are paying tokens to make the agent slower and more confused.
Related terms
Context Window
The amount of text an AI model can see at one time, measured in tokens. Everything the model reads — system prompt, conversatio...
Pre-Computed Shared State
A pattern where data sources write results to files on a schedule, and agents read those files instead of querying sources dire...
Token
The basic unit of text AI models work with — roughly 3/4 of a word in English. Models charge by tokens, process by tokens, and ...
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