CEO AI Guide by ghSMART

A nuanced, practical guide to using and *not* using AI — specifically for CEOs, but highly relevant for anyone in leadership whose most consequential decisions rest in meaning-making challenges, not analytical problems.

Fun experiment: Ask AI in a prompt to describe and explain the reasons people shouldn't use AI and why it could be unethical. Then count the number of times AI either: 1) undirected, goes completely off-prompt to give you reasons you SHOULD use AI; or 2) uses weasel-words and other qualifiers like "some people say" or other things to "soften the blow." 100% success rate on this so far in my examples.

You don’t need more AI tools. You need the right ones solving real problems. Dereck Jacques shares how we approached AI with intention, not overload. See how we implemented AI securely and strategically. Download the case study: https://hubs.la/Q04blZNM0

Me: You’re wrong. Old AI model: You’re correct. --- Me: You’re wrong. Current AI: No, it’s not. Me: Here’s the proof. Current AI: Here’s a random blog post as proof. Me: I’ve checked it from three factual sources. Current AI: You’re correct.

If you're using AI, should you also know how to do the task you're asking it to do? Clive (Max) Maxfield explores this very topic in his latest column, "It’s OK to Use AI; Just Don’t Let AI Use You." He turns to AI to help with some coding that he could produce himself, but AI expedited a solution. The exercise makes him wonder, though, whether engineers are relying too much on AI. What do you think? Tell us in the comments. https://lnkd.in/d45C-jUq

If you want to know what is agentic AI and how to build such a system, this series is for you!!!

Most people try to “describe” what they want from AI. But with AI, examples work better than instructions. If you care about tone or style, just paste a reference. It’s faster, and the output is usually better. #AIProductivityTips #AITips

If you’ve been following our Practical AI: Data to Decision LinkedIn monthly newsletter, you’ve probably heard us talk a lot about “Boring AI”. Hear directly from Philip Miller on why your AI needs to be boring to be truly ready for production and reliable. 📄 Read the whitepaper to learn more: https://prgress.co/42aGNBb Not subscribed to our LinkedIn monthly newsletter yet? 👉🏼 Sign up here: https://lnkd.in/gtBpyr6A

In one hour! Katie Robbert, Chris Penn, and John Wall are breaking it down on So What?: → Why prompts are still the foundation of agentic AI → What makes an AI skill different from a prompt → How to convert what you already have into something agents can use https://lnkd.in/dJMEyCAj

Can AI help you write more clearly? Yes—but only if you use it thoughtfully. In our latest blog, Stephanie Morrison shares simple, practical ways to use AI in plain language work while keeping clarity, accuracy, and accountability front and center. If you’re experimenting with AI, this is a great place to start. Read more: https://buff.ly/YzQqJzm