Where do I go to see the class schedule for the AI Amplifier Club? I see a schedule for the Bootcamp, but not the Amplifier Club. I know that the last session was on Monday, two weeks ago. Please advise? 🙏🏽

Last posts I shared: - Guardrails 101 (copy/paste checklist), and - AI Safety for Non-Tech Builders (driver’s-ed framing) Those sparked good questions — “Okay, but how do I actually think about risk like this?” And in the comments, @Nicholas Vidal pushed the conversation into real, operational safety — ownership, kill-switch, reality checks — and @Kevin Farrugia added the “nightmare in one sentence” idea people really resonated with. So I turned that into something you can actually run: A 20-minute “nightmare scenario drill” for any AI feature — even if you’re not technical. ⸻ Quick definitions (so non-tech people stay with us) - Threat model = simple version of→ “What could go wrong, and who could get hurt?” - Kill switch =→ “How do we pause/disable this fast if it misbehaves?” - Audit log =→ “A record of what happened, so we can see when/where it went wrong.” You don’t need to be a security engineer to use these. You just need the right questions. ⸻ Step 1 — One-sentence nightmare ✅ (Kevin’s point) Write this: “If this goes wrong, the worst thing that could happen is…” Examples: - “Our AI chatbot leaks customer data in a reply.” - “Our content tool generates harmful content with our brand on it.” - “Our automation sends 500 wrong emails before anyone notices.” If you can’t write this sentence, you’re not ready to ship. ⸻ Step 2 — Owner + alert ✅ (Nick & Kevin) Now add: - Owner: “If this nightmare starts, who is responsible for acting?”(name + role, one person) - Alert: “How do they find out?”(email, Slack, SMS…) If everyone owns safety, no one owns safety. Put one name on it. ⸻ Step 3 — Kill switch in under 1 minute ✅ (Nick’s big theme) Answer in plain language: - “How do we pause or disable this feature in under 1 minute?” - “Where is that button / toggle / config in real life?” - “Who has permission to hit it?” If the answer is “we’re not sure” → you don’t have a kill switch. You have a hope.

Most people start to coast this time of year. They tell themselves they’ll get serious again in January, that they’ve earned the break. But the truth is, how you finish this year determines how you start the next. Momentum doesn’t magically appear on January 1st. It’s built right now, in the moments when no one’s watching and everyone else is slowing down. The way you show up in these final weeks says everything about the kind of year you’re creating ahead. Because anyone can start strong, but few have the grit to finish stronger. So while others are taking their foot off the gas, you double down. You sharpen your focus. You look for leverage, the tools, systems, and strategies that multiply your results without multiplying your effort. Because winning isn’t about working harder anymore. It’s about finding your unfair advantage. So let me ask you this: What’s the one thing you can commit to finishing in these final weeks that will set you up for a powerful new year?

If there’s one mindset that separates those who succeed with AI from those who stay stuck, it’s this: the willingness to take imperfect action. So many people hesitate to use AI because they think they need to “understand it” first. They wait for the perfect tutorial, the perfect tool, or the perfect prompt. But AI doesn’t reward perfection. It rewards curiosity. Perfection slows you down. Action teaches you faster than any guide ever could. ------------- The Trap of Waiting to Be Ready ------------- When you first start using AI, it’s easy to overthink everything. What should you ask? How specific should you be? What if the result isn’t good? That hesitation comes from fear: fear of wasting time, fear of doing it wrong, fear of not being “techy enough.” But AI isn’t a test. It’s a conversation. You learn by engaging with it, not by observing from the sidelines. Every time you take action, you teach yourself something new about how AI thinks and how to make it work for you. Progress begins when you stop waiting to be ready and start exploring. ------------- Why Mistakes Are the Shortcut ------------- Here’s the secret that nobody talks about: every AI expert you admire got there by messing up. They wrote bad prompts, misunderstood results, and wasted time on the wrong tools. But they kept going. AI rewards iteration. The faster you make mistakes, the faster you find patterns that work. 1. Start messy - Don’t wait for the perfect prompt. Ask simple questions and build from there. 2. Learn by adjusting - If a result isn’t right, clarify, reframe, and try again. 3. Capture what works - Save your successful prompts and build your own library over time. Each misstep becomes a stepping stone. What feels like failure today turns into intuition tomorrow. ------------- The Power of Small Wins ------------- One of the best ways to build momentum with AI is to create small, achievable wins. You don’t need to master automation or create perfect systems overnight. You just need to prove to yourself that AI can make life a little easier right now.