token-spend

Tracking, forecasting, and controlling what AI systems actually cost to run at the token level. This area covers the economics of LLM and agent usage: how prompts, context windows, model choice, and retry loops drive consumption, and how those charges map to real budgets. Expect FinOps-style frameworks, cost attribution methods, and the hidden expenses that never show up on a provider invoice but still shape total cost of ownership.