for RE# we use an approach similar to the lazy DFA in RE2, but with a twist - we skip the NFA entirely and construct the DFA directly from the regex using derivatives. this derivative-based lazy DFA construction technique comes from the .NET NonBacktracking engine (2023).
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The next consideration is information density and specificity. AI models favor content that provides concrete, actionable information over vague generalizations or superficial coverage. This means investing in depth rather than breadth for your most important topics. A comprehensive 3,000-word guide that thoroughly addresses a topic will typically perform better in AI citations than ten shallow 300-word articles that skim the surface.
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