Many professionals think about side projects at some point — sometimes out of curiosity, sometimes as a hedge, sometimes as a creative outlet. With AI in the picture, that question becomes more interesting. AI can: – lower the cost of experimenting – speed up early execution – help you test ideas without fully committing – reduce the friction of “starting from zero” But it can also do something else: – help you go much deeper in your current role – sharpen judgment and output – increase your leverage where you already have context and credibility So here’s today’s reflection: - Have you ever seriously considered a side business alongside your main work?– If yes, what kind?– If not, what would it be if you had to choose one? And the harder question: - Do you see AI as a tool to branch out, or as a way to become exceptional at one thing? There’s no right answer — but the trade-off is real. Curious to hear how people here are thinking about this.

Quick thought experiment: An eccentric millionaire commissions you to raise $10,000 in 10 days for a worthwhile cause. You don’t choose the cause — you just have to make it work. You’re allowed to use AI as part of the process — for thinking, planning, execution, and iteration — but you are still responsible for decisions and action. This isn’t about fantasy or perfect plans. It’s about how you’d realistically approach the problem. For example, AI could help you: - clarify constraints and priorities - brainstorm feasible fundraising approaches - evaluate what’s realistic under time pressure - shape messaging and outreach - design simple assets (copy, structure, scripts) - anticipate risks and bottlenecks - adjust the plan if something underperforms You don’t need a full strategy document. A rough but thoughtful outline is enough. Challenge: If you had to start today, how would you use AI to go from zero to $10,000 in 10 days? You can share: - the first concrete step you’d take - how AI fits into your process - or what you think would be the hardest part There’s no single right answer — the value is in seeing how different professionals think and execute.

A lot of the conversation around AI at work starts with fear: Will this replace me? Will my role still matter? What I’m seeing in practice is something more nuanced. AI doesn’t replace professionals directly. It amplifies how they already work. When AI is used mainly to: - generate generic output - follow templates without thinking - skip judgment and context the work becomes easier to replace. But when AI is used to: - clarify decisions earlier - explore trade-offs before committing - surface blind spots and assumptions - connect ideas across domains it actually strengthens the parts of the job that matter most. In my own work, AI hasn’t reduced my role. It has made the thinking layer more visible — and more valuable. The professionals who benefit most aren’t the ones chasing every new tool. They’re the ones who use AI to: - ask better questions - narrow scope instead of expanding it - make clearer decisions sooner AI doesn’t decide who’s replaceable. It rewards clarity, judgment, and context. I’m curious to hear your perspective: How do you think professionals can use AI to become harder to replace — not by doing more, but by strengthening what only they can provide?

Imagine you had the time (or permission) to explore one professional project with AI. Not necessarily something you’re launching tomorrow. Just an idea you’d like to build at some point — as: - a side project - a professional tool - an internal solution - or even a future side gig It could be: - a workflow or automation - a small internal product - a client-facing tool - a teaching or documentation system - something that solves a recurring pain in your work No need for a polished plan. Rough ideas are welcome. I’m curious: If AI made it easier to build, what professional product would you want to explore — and why?

How do you use AI for content creation? ✍️🤖 When I say content, I don’t mean only videos or social media. I mean any kind of creative or communicative output: writing, presentations, lessons, reports, ideas, frameworks, or media. I’ll share one example from my own work, just to make it concrete. For short-form video content, I often use AI across multiple stages: - brainstorming topics - exploring different angles within a topic - asking for several variations instead of one “perfect” idea - creating the content myself - then using AI on the transcript to improve clarity, structure, or phrasing For me, AI is less about generating the final thing and more about: - thinking better - exploring options faster - and tightening what I’ve already created I’m curious how this looks in your work. How do you use AI when creating content — in any form — and at which stage does it help you the most?