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Guide 3: Risk, Ethics & Readiness
There’s a lot of noise about AI ethics. Some of it is helpful. Much of it is abstract. And almost none of it tells you what to do when you’re actually rolling out tools inside a real business.
This guide won’t lecture you on the philosophy of consciousness or whether AGI will end humanity. Instead, we’ll zoom in on the more practical: How you adopt AI in a way that's smart, ethical, low-drama, and future-proof. Especially when things are moving faster than your policies can
4 min read


Guide 2: Prompt Engineering for Leaders
Prompt engineering (PE) isn’t a party trick. It’s a leadership multiplier. And these days it's because a required leadership skill... almost table stakes if you want to progress. It’s also what turns “meh” outputs into aligned, efficient, and actionable results when dealing with apps like ChatGPT and Gemini. More than that, it’s a thinking discipline: a way to sharpen your asks, focus your priorities, and scale your clarity across teams and tools.
4 min read


Guide 1: Designing Your AI Stack
Let’s get this out of the way: you don’t need a PhD in machine learning or a $10M innovation lab to build an AI stack that works for you. You just need a clear goal, a Before you go full cyberpunk and sign up for 37 new AI platforms, ask yourself: What do I actually want to improve. Most people dabble in AI with a single tool (ChatGPT, we’re looking at you). That’s like building a tech company using only sticky notes. It might be fun for a day, but you’ll run out of steam rea
4 min read
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