Anyone else encounter this thing where they post in a bunch of different groups and then 80% of the DMs end up just being long-winded, poorly made pitches? Whenever I see someone posting an issue, I see no point in waving a carrot in front of them. Just send them the resource/link and move on, build goodwill, what's with this pretense that you have to be compensated for every single idea you produce? I've gone back and forth maybe 4 or 6 times with the same talk track, the other end just mirroring the problem. Telling you they can fix it, then they push for you to give a budget and to then pay them in advance of them telling you HOW they'd fix it. Why is this so common? I've had this happen over a dozen times from all sorts of different Skool groups. I could truthfully deep research and google long enough to find answers, but I'm just trying to converse and learn through people too. I get it, if it's a repeat thing, sure, charge for support, but one-off without any rapport? "Compensate me for my time" while they're just doing the same search engine hopping you could do anyways. Boggles my mind Who's out here paying for ideas? Am I too Canadian? What is this? P.S. This happens primarily in AI groups, stinks the community experience if you're trying to charge everyone with a pulse

A lot of AI safety talk gets stuck in “it’s complicated.” It doesn’t have to be. If you’re building with AI (even if you’re not technical), you can reduce risk a lot with a few default habits—the same way we made cars safer with seatbelts, rules of the road, and inspections. 1) Who teaches this? Not “the government.” Not “experts on Twitter.” You + your builder + your tools. Think of it like “AI driver’s ed”: - 20% is mindset (responsibility) - 80% is checklist + routines (what to do every time) 2) How should it be taught? Not by fear. Not by theory. By simple checklists + examples. If you can follow a recipe, you can follow this. ✅ The Non-Tech Guardrails Checklist (print this) A) Secrets & passwords (most common failure) - Use two-factor authentication on everything - Don’t paste API keys into screenshots or chats - Store keys in a proper “secrets” place (your dev will know) - If something feels off: rotate keys (replace them) B) Updates (the boring part that saves you) - If your app is public: ask your dev:“Do we patch security updates weekly?” - If you don’t have a dev: use managed platforms that update for you. C) Logs (so you can see trouble early) Ask: “Do we have logs turned on?” If the answer is “not really,” you’re flying blind. D) Ownership (someone must be responsible) For every AI feature ask: - “Who owns this if it breaks?” - “Who gets alerted?” - “What’s the rollback plan?” E) Kill-switch (simple off button) Every AI feature needs a way to pause it: - “Can we turn it off in 1 minute if needed?” 3) How do we “pressure” the world to do better? You don’t need to lobby governments to make progress. The fastest levers are: - Customer expectations (“we only buy tools with safety basics”) - Platform defaults (secure-by-default settings) - Procurement rules (“no guardrails = no contract”) - Community standards (we normalize checklists) Bottom line Cheerleaders can cheer. Builders can build.

There’s no shortage of AI tools, tutorials, and trends out there. Every week, a new platform claims to revolutionize your workflow or make your business unstoppable. It’s exciting at first, but before long, that excitement turns into fatigue. If you’ve ever opened your browser with ten tabs full of AI apps, each promising to save time, only to feel more confused than productive, you’re not alone. Our team has seen this pattern again and again. People don’t struggle with AI because it’s difficult. They struggle because there’s too much of it. AI overwhelm doesn’t come from complexity, it comes from chaos. The good news is that clarity is possible. You just have to change how you approach learning and using AI. ---- Why Overwhelm Happens ---- The first thing to understand is that AI overwhelm isn’t a knowledge problem. It’s an expectation problem. We’ve been conditioned to believe that success with AI means keeping up with everything — every new tool, every new update, every “must-know” trick. That’s impossible. Nobody, not even experts, can stay on top of it all. Instead of trying to master AI in its entirety, you need to master how it fits into your world. Overwhelm happens when you chase novelty instead of utility. When you focus on what’s new instead of what’s useful, you end up learning a hundred things halfway instead of one thing deeply. ---- The Shift: From Exploration to Intention ---- When our team first started diving into AI, we made the same mistake. We tried everything. Every app, every browser extension, every new prompt formula. We thought variety would make us smarter. It didn’t. It made us scattered. Then we made one small but important shift. We decided to use AI intentionally. Instead of asking, “What can this tool do?”, we started asking, “What do we actually need?” That single question changed everything. 1. Focus on outcomes - Start every AI interaction by defining what success looks like for you. 2. Ignore the noise - You don’t need to try every tool. Stick with what solves your real problems. 3. Learn through action - Use AI to do something real today, not just to experiment for tomorrow.

AI or no AI — just the one that made you say, “Damn, that actually works.” 😄 Curious to hear what everyone’s been cooking up 👇