MATHLIMIT · A RISK DESK FOR AI SPEND

A Case Study in Bounded Governance for LLM Fleet Costs

Your fleet burns money as a stochastic process, and this desk reads it like one: adaptive risk bands instead of static thresholds, a drip / leak / burst triage clock instead of a mood, a proportional throttle that self-releases below quarantine (quarantine latches for human release), attribution that prices every cause of a cost change, and a Bill-at-Risk cone that gives "am I going broke" a number with a stated, backtestable method. This page watches only: nothing here throttles your account.