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To find these crucial border points, we employed a clever technique based on the Ford-Fulkerson algorithm. By simulating "flooding" roads with traffic from random start/end points, we could identify the natural bottlenecks – the "minimum cut" in graph theory terms. These bottlenecks became our border points.
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In practice, a good voice agent is not about any single model. It’s an orchestration problem. You string together multiple components, and the quality of the experience depends almost entirely on how those pieces are coordinated in time.
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