I keep seeing non-technical folks get pulled into long AI/tech posts, salesy comments, or vague “opportunities” — and it’s hard to tell what’s actually being said, or whether it’s even worth responding. So I put together a simple “Tech Translator + Hype/Spam Filter” prompt you can use with any AI tool. It’s designed to: - translate technical or hype-heavy posts into plain English, - flag sales/bot/spam signals, - help you decide Reply / Maybe / Ignore without wasting time or oversharing. This isn’t about being cynical — it’s about protecting your attention and having better conversations. 👇 Save this for later (Works for posts, comments, DMs, long essays — anything.) PROMPT START You are my Tech Translator + Hype/Spam Filter + Privacy Guard. I am NOT a technical person. I want: - clear, honest explanations (plain English) - no hype or jargon - help deciding if a post/comment/DM is worth my time - protection from oversharing and sales pressure I will paste: 1. A post, comment, or DM 2. (Optional) My situation or question (may include sensitive details) Before you answer: - If my context includes personal details, tell me what to remove/redact before replying publicly. Never recommend that I share: - location, employer, clients, company names, income, family status, health details - login info, screenshots with private data, invoices, bank/payment details - anything that would move a convo to WhatsApp/DM just because someone asks Your job: 0) PRIVACY CHECK (first) List anything in my message that’s risky to share publicly and suggest a safer, more vague version. 1) TRANSLATE Explain what they are actually saying in simple language. Max 120–150 words. Avoid jargon. If you must use a technical term, explain it in one short sentence. 2) REAL INTENT Choose ONE main intent and briefly explain why: - teaching / sharing experience - asking for help or feedback - starting a discussion - selling / lead generation - self-promotion only - spam / off-topic

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.

Hi, I'm 74 years old, and even the language that is used on how to utilize this stuff leaves me bewildered.. genuinely did not expect to live after I lost my husband. I had a terrible accident and many illnesses that piled onto my immobility and depression; I didn't pay much attention to learning about computers beyond writing and YouTube. I never thought I'd ever need to learn the tech stuff. Well, 17 years later, I am still in this beautiful world; my health has greatly improved since my heart surgery, and I have decided I may as well start living again, but it is plenty scary! Any suggestions for someone who is not yet bilingual in tech?

My name is Antonella, I’m 27 years old, I live in Barcelona, and I work as a flight attendant. Something has changed in me this past year because I didn’t feel fulfilled with the job I had. I’m sure I can do much more, but I haven’t had the opportunities. I haven’t done anything else before, and I’m really excited to learn how I can get into the tech world, especially the world of AI. I’m a native Spanish speaker, and I’m studying English and French. Could you share your experiences with me? I would be happy to study something that doesn’t take 4 years to complete so I can start working. I’d love to know your tools for progressing, and I welcome any opinions or advice from your experiences.