Overview
Within the DeckerGUI Ecosystem, LLM token consumption represents computational work performed by the user’s AI workspace. Each professional role is assigned a token usage quota, which reflects their model’s complexity, data processing needs, and workflow duration.
These tokens act as measurable digital equivalents of computational effort — much like workhours in AI-assisted productivity. DeckerGUI uses the log-database-kpi-id7726 ledger to map every user’s token usage to their assigned KPI record, ensuring that productivity is measured not just by time spent, but by AI resource efficiency.
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