How Dependency Graphs and AI Solve the International Moving Problem

International relocations require coordinating across 20+ disconnected government systems, forcing individuals to spend 20-30 hours on bureaucratic research. SetTern models this chaos as a dependency graph and uses LLMs to generate government-formatted correspondence, automating the entire workflow. Remarkably, AI-generated official letters achieve a 99.2% acceptance rate—higher than human-written versions—suggesting that algorithmic systems can systematize bureaucratic processes more effectively than human intuition.