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🧵 Part of a series on AI as a thinking and capability layer.
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In racquet sports like tennis and badminton, an unforced error is a mistake caused by a player's own mis-judgement or poor execution, rather than anything their opponent did.
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🧵 This is a follow-up to my previous post on Nexus, where I explored how I started working with AI as part of my daily workflow.
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In just a few years, AI has become part of every stage of my software development workflow.
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One of the aspects of my work as an executive in Mindvalley that I’ve come to value over the years is the art of setting targets, building forecasts, and running projections to hit those numbers.
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Twelve years ago, my co-founder John and I joined Mindvalley after years of building products for other startups through our software consultancy, Flexnode.
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During dinner, my daughter said she was feeling cold.
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In an age of side hustles and self-optimization, it seems like everyone is trying to squeeze the most out of their time.
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In another life, my Friday nights were spent battling mystical monsters and casting arcane spells.
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Ever since I started being more mindful about what I eat and tracking my calorie intake, I realized the typical portions served by most restaurants aren't ideal for me.
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Every other day, new AI tools are launched, threatening to replace existing jobs and disrupt entire industries.
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It’s been a while since I last wrote here.
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Last month, I was invited by a local university (UMS) to give a talk to their students about what’s it like being in the Tech industry.
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Working on a product is something I truly enjoy.
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Almost a decade ago, Marc Andreessen penned the famous “Why Software is Eating the World” essay which was amazingly prescient.