Mike Kennedy is a data science consultant and boutique hotel owner with two years of serious AI practice. He builds with precision—mapping specific tools to specific tasks, developing adversarial prompting techniques to counter his own confirmation bias, and maintaining a systematic seven-step verification framework born from real failures. His critical evaluation skills are notably sharp: he learned to generate verifiable code rather than trust direct outputs, and he knows when to step away from AI entirely on emotionally-charged decisions. With high learning velocity and sophisticated cross-platform experimentation, Mike is positioned to lead AI adoption initiatives—the gap between where he is and where he's headed is simply a matter of systematizing what he already knows.
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