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Crucially, this distribution of border points is agnostic of routing speed profiles. It’s based only on whether a road is passable or not. This means the same set of clusters and border points can be used for all car routing profiles (default, shortest, fuel-efficient) and all bicycle profiles (default, prefer flat terrain, etc.). Only the travel time/cost values of the shortcuts between these points change based on the profile. This is a massive factor in keeping storage down – map data only increased by about 0.5% per profile to store this HH-Routing structure!

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Implementation requires evaluating your existing content and identifying opportunities to add structure without forcing it artificially. Look for places where you're listing multiple items in prose that would be clearer as bullet points. Find sections comparing options that would benefit from table format. Identify processes that could be broken into numbered steps. These changes often improve content quality while making it more AI-friendly.

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