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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

Published by: Hyperlane Labs January 1, 2026 Overview of the Texas Responsible Artificial Intelligence Governance Act As of January 1, 2026, Texas has implemented a comprehensive regulatory framework governing artificial intelligence through the Texas Responsible Artificial Intelligence Governance Act (TRAIGA) . The law establishes clear boundaries for how AI systems may be designed, deployed, and governed within the state. Unlike voluntary frameworks or high-level guidance,