Ai Research

Most conversations about AI cost focus on the obvious levers:model choice, prompt length, temperature, or caching. That framing breaks down the moment AI moves from a single prompt into a real operational system . At Hyperlane, we’ve been building AI employees that operate across multi-step workflows: interpreting intent, taking action, recovering from edge cases, and learning over time. As the system matured, we ran into a surprising reality: The biggest driver of cost, brit