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This is just my personal experience and ontological formation of a hypothesis into how people may be
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The best growth systems aren't the ones that move fastest. They're the ones that learn between runs. Metrics point to bottlenecks. Bottlenecks turn into hypotheses. Hypotheses become approved tests. The results go back into the system, so the next experiment starts smarter than the last one. The goal isn't perfect automation. It's a process that compounds. Comment
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