I want to try something with this community. I'm going to describe a real work scenario, and I want you to tell me how you'd categorize it. The scenario: Your boss asks you to create a presentation for the quarterly board meeting. The presentation needs to include: - Revenue numbers from last quarter (pulled from your internal finance system) - - A competitive analysis of 3 key competitors - - Strategic recommendations for next quarter - - An appendix with employee satisfaction survey results One task. Four very different components. Here's my take -- but I want to hear yours first: Some parts of this are clearly Green (let AI handle it). Some are probably Yellow (AI assists, you verify). And at least one might be Red (keep AI away entirely). How would you break this down? Which parts would you hand to AI, which would you verify carefully, and which would you keep AI away from entirely? And why? Drop your thinking below. There's no single right answer -- that's what makes this interesting. The way YOU think about it depends on your industry, your company, and your risk tolerance. I'll share my breakdown in the comments tomorrow.

I'll be honest about something. I use AI every single day. I've built systems around it. I teach a course on it. And about twice a week, I still get output that makes me want to close my laptop and go outside. Yesterday I spent 20 minutes trying to get Claude to write a simple client email. Twenty minutes. For an email. I could have written it myself in three. The problem wasn't the tool. The problem was that I was being lazy about context. I was rushing. I gave it a vague ask and expected a specific result. And every time it gave me something generic, I got more frustrated instead of stopping to think about what I was actually asking for. Here's what I've learned: AI frustration is almost always a mirror. When I'm frustrated with the output, it's usually because I haven't done the thinking work. I haven't been clear about what I want, who it's for, or what "good" looks like. That doesn't make the frustration less real. It just makes it useful information. What's your most recent AI frustration? And in hindsight, was the problem the tool -- or was it something about how you were using it?